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The main objective is to compare the efficacy of tarlatamab with standard of care (SOC) on prolonging overall survival (OS).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Tarlatamab | Experimental | Participants will receive tarlatamab as an intravenous (IV) infusion. |
|
| Standard of Care | Active Comparator | Participants will receive treatment per local standard of care (SOC). |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Tarlatamab | Drug | Tarlatamab will be administered as an IV infusion. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Overall Survival (OS) | OS was defined as time from randomization until death from any cause. Median overall survival was estimated using Kaplan-Meier method. 95% confidence intervals (CIs) were calculated using the Brookmeyer and Crowley method. | From randomization up to minimum of death or primary completion DCO date 29 January 2025; median (min, max) time on the study was 8.6 (0.1, 18.5) months |
| Measure | Description | Time Frame |
|---|---|---|
| Progression Free Survival (PFS) | PFS was defined as time from randomization until disease progression (PD) or death from any cause, whichever occurs first for all participants. Progression was based on investigator assessment of disease response per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. PD: radiologic detection of ≥ 20% increase in the sum of diameters of target lesions and ≥ 5 mm absolute increase, or unequivocal progression of non-index lesions, or the presence of new lesions. 95% CIs were calculated using the Brookmeyer and Crowley method. |
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Inclusion Criteria:
Exclusion Criteria:
Disease Related
Other Medical Conditions
Prior/Concomitant Therapy
Diagnostic Assessments
Other Exclusions
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| Name | Affiliation | Role |
|---|---|---|
| MD | Amgen | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of South Alabama Mitchell Cancer Institute | Mobile | Alabama | 36604 | United States | ||
| Alaska Oncology and Hematology |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 40454646 | Background | Mountzios G, Sun L, Cho BC, Demirci U, Baka S, Gumus M, Lugini A, Zhu B, Yu Y, Korantzis I, Han JY, Ciuleanu TE, Ahn MJ, Rocha P, Mazieres J, Lau SCM, Schuler M, Blackhall F, Yoshida T, Owonikoko TK, Paz-Ares L, Jiang T, Hamidi A, Gauto D, Recondo G, Rudin CM; DeLLphi-304 Investigators. Tarlatamab in Small-Cell Lung Cancer after Platinum-Based Chemotherapy. N Engl J Med. 2025 Jul 24;393(4):349-361. doi: 10.1056/NEJMoa2502099. Epub 2025 Jun 2. | |
| 42377743 |
| Label | URL |
|---|---|
| AmgenTrials clinical trials website | View source |
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De-identified individual patient data for variables necessary to address the specific research question in an approved data sharing request
Data sharing requests relating to this study will be considered beginning 18 months after the study has ended and either 1) the product and indication have been granted marketing authorization in both the US and Europe or 2) clinical development for the product and/or indication discontinues and the data will not be submitted to regulatory authorities. There is no end date for eligibility to submit a data sharing request for this study.
Qualified researchers may submit a request containing the research objectives, the Amgen product(s) and Amgen study/studies in scope, endpoints/outcomes of interest, statistical analysis plan, data requirements, publication plan, and qualifications of the researcher(s). In general, Amgen does not grant external requests for individual patient data for the purpose of re-evaluating safety and efficacy issues already addressed in the product labelling. Requests are reviewed by a committee of internal advisors. If not approved, a Data Sharing Independent Review Panel will arbitrate and make the final decision. Upon approval, information necessary to address the research question will be provided under the terms of a data sharing agreement. This may include anonymized individual patient data and/or available supporting documents, containing fragments of analysis code where provided in analysis specifications. Further details are available at the URL below.
Participants were randomized 1:1 to receive tarlatamab or standard of care (SOC) chemotherapy (lurbinectedin, topotecan , or amrubicin [Japan only]). Randomization was stratified by prior anti-programmed cell death 1 (PD-1) or prior anti-PD-Ligand (L)1 (yes/no), chemotherapy-free interval (≥180 days; <180 to ≥90 days; <90 days), presence of brain metastases (yes/no), and SOC (topotecan/amrubicin versus lurbinectedin).
Participants were enrolled at 166 centers in 30 countries worldwide starting from 31 May 2023. The primary analysis data is presented from the date of randomization up to the data cutoff date (DCO), 29 January 2025. The study is still ongoing.
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| ID | Title | Description |
|---|---|---|
| FG000 | Standard of Care (SOC) | Participants were randomized to receive treatment according to the local SOC chemotherapy (lurbinectedin, topotecan, or amrubicin [Japan only]) in 21-day cycles. |
| FG001 | Tarlatamab 1 mg to 10 mg Q2W |
| Title | Milestones | Reasons Not Completed | |||||
|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Jul 19, 2024 | Dec 12, 2025 |
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| Lurbinectedin | Drug | Lurbinectedin will be administered per local SOC. |
|
| Topotecan | Drug | Topotecan will be administered per local SOC. |
|
| Amrubicin | Drug | Amrubicin will be administered per local SOC. |
|
| Up to approximately 4 years |
| Change From Baseline in Selected Functional Scales and Disease Symptom Items Included in the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) | The EORTC QLQ-C30 was developed to assess quality of life in cancer participants across tumor types. It was a self-reported, 30-item generic instrument that assessed five functional scales (physical, role, emotional, cognitive, social); nine disease symptom items (fatigue, nausea and vomiting, pain, dyspnea, insomnia, appetite loss, constipation, diarrhea, financial difficulties); and a global health status (GHS)/quality of life (QOL) scale. Questionnaire score ranged from 0 to 100. For the functional scales, higher scores indicated high/healthy level of functioning; for the disease symptom scales, higher scores indicated greater symptom burden; and for the GHS/QoL scale, higher scores represented a high QoL. A negative change from baseline indicated reduction in functioning, improvement in symptom burden and reduction in health and quality of life. | Up to approximately 4 years |
| Change From Baseline in Selected Disease Symptoms Included in the European Organization for Research and Treatment of Lung Cancer Quality of Life Questionnaire (EORTC-QLQ-LC13) | The EORTC QLQ-LC13 was a disease-specific supplement to the EORTC QLQ-C30. It included multi-item and single-item measures of lung cancer symptoms (coughing, hemoptysis, dyspnea, pain) and treatment side effects (hair loss, neuropathy, sore mouth, dysphagia). Scores ranged from 0 to 100, with higher scores indicating a greater degree of symptom severity. A negative change from baseline indicated improvement in symptom burden or side effect severity. | Up to approximately 4 years |
| Objective Response Rate (ORR) | ORR was defined as the percentage of participants with a confirmed best overall response of complete response (CR) or partial response (PR) based on the RECIST v1.1. CR: complete disappearance of all lesions and pathologic lymph nodes reduced in short axis to < 10 mm. PR: decrease in tumor burden of ≥ 30% relative to baseline, or complete disappearance of all index lesions with the presence of non-index lesions. 95% CIs were calculated using the Brookmeyer and Crowley method. | Up to approximately 4 years |
| Disease Control Rate (DCR) | DCR was defined as the percentage of participants documented to have a CR, PR or stable disease (SD) per RECIST v1.1. CR: complete disappearance of all lesions and pathologic lymph nodes reduced in short axis to < 10 mm. PR: decrease in tumor burden of ≥ 30% relative to baseline, or complete disappearance of all index lesions with the presence of non-index lesions. SD: Index lesions not meeting the criteria for CR, PR, or PD or the persistence of one or more non-index lesions. Exact 95% CIs were calculated using the Clopper-Pearson method. | Up to approximately 4 years |
| Duration of Response (DOR) | DOR was defined as the time from the first documentation of OR until the first documentation of PD or death due to any cause, whichever occurred first determined by the investigator per RECIST v1.1. Only participants who had achieved OR will be evaluated for DOR. PD: radiologic detection of ≥ 20% increase in in the sum of diameters of target lesions and ≥ 5 mm absolute increase, or unequivocal progression of non-index lesions, or the presence of new lesions. | Up to approximately 4 years |
| PFS at Year 1 | PFS was defined as time from randomization until PD or death from any cause, whichever occurs first for all participants. Progression was based on investigator assessment of disease response per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. PD: radiologic detection of ≥ 20% increase in in the sum of diameters of target lesions and ≥ 5 mm absolute increase, or unequivocal progression of non-index lesions, or the presence of new lesions. 95% CIs were calculated using the Brookmeyer and Crowley method. | 1 year |
| OS at Year 1, 2 and 3 | OS was defined as time from randomization until death from any cause. Median overall survival was estimated using Kaplan-Meier method. 95% CIs were calculated using the Brookmeyer and Crowley method. | 1 year, 2 years and 3 years |
| Number of Participants With Anti-tarlatamab Antibodies | Incidence of treatment emergent adverse events including grade ≥ 3 treatment emergent adverse events, serious treatment emergent adverse events, treatment emergent adverse events leading to treatment discontinuation, fatal treatment emergent adverse events, and treatment-related treatment emergent adverse events. | Up to approximately 4 years |
| Trough Concentration (Ctrough) of Tarlatamab | Blood samples were collected for measurement of serum concentrations of tarlatamab. | Up to 1 year |
| Number of Participants Who Experienced Anti-tarlatamab Antibodies | Up to 1 year |
| Change From Baseline in Pain Severity as Measured by Brief Pain Inventory - Short Form (BPI-SF) | The BPI-SF (Pain) was a valid and reliable instrument, which was a commonly used tool to capture severity of pain and its impact on daily functioning. The BPI-SF measured intensity of pain at four time points (worst, least, average, and right now), pain relief, and seven interference items (general activity, mood, walking ability, normal work, relations with other people, sleep, and enjoyment of life). Scoring for pain ranged from 0 (no pain) to 10 (worst pain), and for pain interference from 0 (no interference) to 10 (complete interference). A negative change from baseline indicated a reduction in pain severity or interference. | Up to approximately 4 years |
| Change From Baseline in Symptom Severity as Measured by Patient Global Impression of Severity (PGIS) Questionnaire | PGIS was used to measure a patient's perceived severity of symptoms. PGIS scale asked respondents to describe the severity of their symptoms, overall status, etc, over the past week. The 4-level PGIS response options were: 1: none, 2: mild, 3: moderate, and 4: severe. Higher scores indicated severe condition. A negative change from baseline indicated an improvement in severity. | Up to approximately 4 years |
| Change From Baseline in Symptoms and Overall Status as Measured by Patient Reported Impression of Change (PGIC) Questionnaire | PGIC measures were used in the measurement of within-patient meaningful change (response) thresholds for disease symptoms/impacts of interest. The PGIC scale asked respondents to rate the overall change in symptoms, overall status, etc., since initiating treatment with the medication. The 5-level PGIC response options were: 1: much better, 2: a little better, 3: about the same, 4: a little worse, and 5: much worse. Higher scores indicated worsening condition. A negative change from baseline indicated an improvement in symptoms. | Up to approximately 4 years |
| Summary Scores of Patient-perceived Health at Each Assessment Visit Using the Visual Analogue Scale (VAS) as Measured by the 5-Level EuroQol-5 Dimension (EQ-5D-5L) | The EQ5D-5L questionnaire was a standardized instrument used as a measure of health outcome developed by the EuroQol group. It was comprised of a 5-dimension health status measure and a VAS. The 5-dimension health status measure evaluated: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression based on a 5-level scale: 1: no problems, 2: slight problems, 3: moderate problems, 4: severe problems, 5: an extreme problem. Higher scores (closer to 5) indicated worse health status. The VAS recorded the participant's self-rated health on a vertical VAS where the endpoints were labelled 'Worst imaginable health state' and 'Best imaginable health state'. VAS ranged from 0 to 100. Higher scores indicated better perceived health. | Up to approximately 4 years |
| Change From Baseline in Patient Perceived Health Using VAS Score as Measured by EQ5D-5L | The EQ5D-5L questionnaire was a standardized instrument used as a measure of health outcome developed by the EuroQol group. It was comprised of a 5-dimension health status measure and a VAS. The 5-dimension health status measure evaluated: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression based on a 5-level scale: 1: no problems, 2: slight problems, 3: moderate problems, 4: severe problems, 5: an extreme problem. Higher scores (closer to 5) indicated worse health status. The VAS recorded the participant's self-rated health on a vertical VAS where the endpoints were labelled 'Worst imaginable health state' and 'Best imaginable health state'. VAS ranged from 0 to 100. Higher scores indicated better Perceived health. A negative change from baseline indicated a reduction in better perceived health. | Up to approximately 4 years |
| Responses to Patient-Reported Adverse Events Questionnaire (PRO-CTCAE) | PRO-CTCAE was a 78-item library used to measure patient-reported symptomatic adverse events. Users selected items that were most relevant to the disease, treatment profile, and fit for purpose to document patients' experience. Each symptom was rated by up to 3 attributes: presence/frequency, severity, and/or interference of the adverse event. Based on the safety profile of tarlatamab and SOC therapy, the study included the following symptoms: shivering or shaking chills, anxiety, constipation, taste changes, vomiting, headache, concentration, rash, palpitations, arm or leg swelling, nausea, dizziness, bruising, fatigue, and decreased appetite, which were deemed relevant for the site of cancer as well as cancer treatment. Responses were typically scored on a 5-point ordinal scale, with values ranging from 0 to 4. Higher scores indicated greater symptom burden. | Up to approximately 4 years |
| Change From Baseline in Symptom Bother as Measured by Functional Assessment of Cancer Therapy - General (FACT-G) Questionnaire | FACT-G was a 27-item questionnaire designed to measure four domains of health-related quality of life in cancer patients: physical, social, emotional, and functional well-being. The GP5 of the FACT-G was a single item: "I am bothered by side effects of treatment", rated on a 5-point Likert scale from 0: not at all to 4: very much. Higher scores indicated greater impact of side effects. A negative change from baseline indicated improvement in impact of side effects. | Up to approximately 4 years |
| Anchorage |
| Alaska |
| 99508 |
| United States |
| University of Arkansas for Medical Sciences | Little Rock | Arkansas | 72205 | United States |
| University of California Los Angeles | Santa Monica | California | 90404 | United States |
| Northwestern University | Chicago | Illinois | 60611 | United States |
| University of Illinois Chicago | Chicago | Illinois | 60612 | United States |
| Indiana University | Indianapolis | Indiana | 46202 | United States |
| University of Iowa | Iowa City | Iowa | 52242 | United States |
| Pikeville Medical Center | Pikeville | Kentucky | 41501 | United States |
| Our Lady of the Lake Cancer Institute | Baton Rouge | Louisiana | 70808 | United States |
| Trinity Health Saint Joseph Mercy Ann Arbor | Ann Arbor | Michigan | 48106 | United States |
| University of Minnesota Cancer Center | Minneapolis | Minnesota | 55455 | United States |
| University of Missouri Health Care | Columbia | Missouri | 65212 | United States |
| Summit Medical Group, Overlook Oncology Center | Summit | New Jersey | 91010 | United States |
| New York University Grossman School of Medicine and New York University Langone Hospitals | New York | New York | 10016 | United States |
| Perlmutter Cancer Center at New York University Langone Hospital----Long Island | New York | New York | 10016 | United States |
| Memorial Sloan Kettering Cancer Center | New York | New York | 10021 | United States |
| Northport Veterans Affairs Medical Center | Northport | New York | 11768 | United States |
| Sanford Roger Maris Cancer Center | Fargo | North Dakota | 58102 | United States |
| Sanford Oncology Clinic and Pharmacy | Sioux Falls | South Dakota | 57104 | United States |
| University of Tennessee Medical Center Knoxville | Knoxville | Tennessee | 37920 | United States |
| Baptist Cancer Center | Memphis | Tennessee | 38120 | United States |
| Virginia Commonwealth University | Richmond | Virginia | 23298 | United States |
| Swedish Cancer Institute Medical Oncology | Edmonds | Washington | 98026 | United States |
| The Medical College of Wisconsin | Milwaukee | Wisconsin | 53226 | United States |
| Cemic | Ciudad Autonoma de Buenos Aires | Buenos Aires | C1431FWO | Argentina |
| Hospital Universitario Austral | Pilar | Buenos Aires | B1629ODT | Argentina |
| Sociedad de Beneficencia Hospital Italiano | Córdoba | Córdoba Province | X5004BAL | Argentina |
| Clinica Viedma | Viedma | Río Negro Province | R8500ACE | Argentina |
| Sanatorio Parque SA | Rosario | Santa Fe Province | 2000 | Argentina |
| Instituto Argentino de Diagnostico y Tratamiento IADT | Buenos Aires | C1122AAL | Argentina |
| Sanatorio Allende | Córdoba | X5000JHQ | Argentina |
| Liverpool Hospital | Liverpool | New South Wales | 2170 | Australia |
| Calvary Mater Newcastle Hospital | Waratah | New South Wales | 2298 | Australia |
| Monash Medical Centre | Clayton | Victoria | 3168 | Australia |
| The Alfred Hospital | Melbourne | Victoria | 3004 | Australia |
| Medizinische Universitaet Graz | Graz | 8036 | Austria |
| Universitaetsklinikum Krems | Krems | 3500 | Austria |
| Universitair Ziekenhuis Gent | Ghent | 9000 | Belgium |
| Jessa Ziekenhuis - Campus Virga Jesse | Hasselt | 3500 | Belgium |
| AZ Delta Campus Rumbeke | Roeselare | 8800 | Belgium |
| Vitaz campus Sint-Niklaas Moerland | Sint-Niklaas | 9100 | Belgium |
| Hospital Santa Izabel | Salvador | Estado de Bahia | 40050-410 | Brazil |
| Instituto de Ensino e Pesquisa do Hospital da Bahia | Salvador | Estado de Bahia | Brazil |
| Liga Norte-Riograndense Contra O Cancer | Natal | Rio Grande do Norte | 59075-740 | Brazil |
| Oncosite Centro de Pesquisa Clinica Em Oncologia Ltda | Ijuí | Rio Grande do Sul | 98700-000 | Brazil |
| Hospital Sao Lucas da Pontificia Universidade Catolica do Rio Grande do Sul | Porto Alegre | Rio Grande do Sul | 90610-000 | Brazil |
| Hospital de Amor da Amazonia | Porto Velho | Rondônia | 76834-899 | Brazil |
| Hospital de Base de Sao Jose do Rio Preto | São José do Rio Preto | São Paulo | 15090-000 | Brazil |
| Beneficencia Portuguesa de Sao Paulo - Bp | São Paulo | São Paulo | 01323-900 | Brazil |
| Oncologia Rede D Or | São Paulo | São Paulo | 04502-001 | Brazil |
| Instituto Coi | Rio de Janeiro | 22793-080 | Brazil |
| Instituto do Cancer do Estado de Sao Paulo Octavio Frias de Oliveira Icesp | São Paulo | 01246-000 | Brazil |
| London Health Sciences Centre | London | Ontario | N6A 5W9 | Canada |
| Princess Margaret Cancer Centre | Toronto | Ontario | M5G 2M9 | Canada |
| Anhui Chest Hospital | Hefei | Anhui | 230022 | China |
| Beijing Tongren Hospital affiliated to Capital Medical University | Beijing | Beijing Municipality | 100010 | China |
| Beijing Cancer Hospital | Beijing | Beijing Municipality | 100142 | China |
| The Second Affiliated Hospital of Army Medical University, PLA | Chongqing | Chongqing Municipality | 400037 | China |
| Army Special Medical Center of Peoples Liberation Army | Chongqing | Chongqing Municipality | 400042 | China |
| Fujian Medical University Union Hospital | Fuzhou | Fujian | 350001 | China |
| Mengchao Hepatobiliary Hospital of Fujian Medical University | Fuzhou | Fujian | 350025 | China |
| Sun Yat-Sen University Cancer Center | Guangzhou | Guangdong | 510060 | China |
| Jiangmen Central Hospital | Jiangmen | Guangdong | 529030 | China |
| The 4th Hospital of Hebei Medical University | Shijiazhuang | Hebei | 050000 | China |
| Affiliated Cancer Hospital of Harbin Medical University | Harbin | Heilongjiang | 150000 | China |
| Union Hospital Tongji Medical College Huazhong University of Science and Technology | Wuhan | Hubei | 430022 | China |
| Tongji Hospital Tongji Medical College Huazhong University of Science and Technology | Wuhan | Hubei | 430030 | China |
| Hunan Cancer Hospital | Changsha | Hunan | 410013 | China |
| Subei Peoples Hospital | Yangzhou | Jiangsu | 225009 | China |
| The First Affiliated Hospital of Nanchang University | Nanchang | Jiangxi | 330006 | China |
| Jilin Cancer Hospital | Changchun | Jilin | 130012 | China |
| Jinan Central Hospital | Jinan | Shandong | 250013 | China |
| Shandong Tumor Hospital | Jinan | Shandong | 250117 | China |
| Linyi Cancer Hospital | Linyi | Shandong | 276034 | China |
| Shanghai Chest Hospital | Shanghai | Shanghai Municipality | 200030 | China |
| Fudan University Shanghai Cancer Center | Shanghai | Shanghai Municipality | 200032 | China |
| Shanxi Province Cancer Hospital | Taiyuan | Shanxi | 30009 | China |
| West China Hospital of Sichuan University | Chengdu | Sichuan | 610041 | China |
| The First Affiliated Hospital Zhejiang University School of Medicine | Hangzhou | Zhejiang | 310003 | China |
| The Second Affiliated Hospital Zhejiang University School of Medicine | Hangzhou | Zhejiang | 310003 | China |
| Zhejiang Cancer Hospital | Hangzhou | Zhejiang | 310005 | China |
| Taizhou Hospital of Zhejiang Province | Taizhou | Zhejiang | 317099 | China |
| The First Affiliated Hospital of Wenzhou Medical University | Wenzhou | Zhejiang | 325015 | China |
| Beijing Chest Hospital, Capital Medical University | Beijing | 101149 | China |
| Fujian Cancer Hospital | Fuzhou | 350011 | China |
| Tianjin Peoples Hospital | Tianjin | 300131 | China |
| Weihai Municipal Hospital | Weihai | 264200 | China |
| Fakultni nemocnice Brno | Brno | 625 00 | Czechia |
| Masarykuv onkologicky ustav | Brno | 656 53 | Czechia |
| Fakultni nemocnice Olomouc | Olomouc | 779 00 | Czechia |
| Nemocnice Agel Ostrava-Vitkovice as | Ostrava-Vitkovice | 703 00 | Czechia |
| Vseobecna fakultni nemocnice v Praze | Prague | 128 08 | Czechia |
| Rigshospitalet | Copenhagen | 2100 | Denmark |
| Centre Hospitalier Universitaire de Grenoble - Hopital Nord Michallon | Grenoble | 38700 | France |
| Centre Hospitalier Régional Universitaire de Lille - Institut Coeur Poumon | Lille | 59037 | France |
| Centre Hospitalier Regional Universitaire de Limoges - Hopital Dupuytren | Limoges | 87042 | France |
| Centre Leon Berard | Lyon | 69008 | France |
| Centre Hospitalier Universitaire Nord | Marseille | 13915 | France |
| Institut Curie | Paris | 75005 | France |
| Centre Hospitalier Lyon Sud | Pierre-Bénite | 69495 | France |
| Centre Hospitalier Universitaire de Rennes - Hopital Pontchaillou | Rennes | 35033 | France |
| Centre Hospitalier Universitaire de Strasbourg - Nouvel Hopital Civil | Strasbourg | 67091 | France |
| Centre Hospitalier Universitaire de Toulouse - Hopital Larrey | Toulouse | 31059 | France |
| Gustave Roussy | Villejuif | 94805 | France |
| Charite Universitaetsmedizin Berlin, Campus Virchow | Berlin | 13353 | Germany |
| Universitaetsklinikum Koeln | Cologne | 50937 | Germany |
| Universitaetsklinikum Dresden | Dresden | 01307 | Germany |
| Universitaetsklinikum Essen | Essen | 45147 | Germany |
| Asklepios Fachkliniken Muenchen Gauting | Gauting | 82130 | Germany |
| LungenClinic Grosshansdorf GmbH | Großhansdorf | 22927 | Germany |
| Robert-Bosch-Krankenhaus | Stuttgart | 70376 | Germany |
| Universitaetsklinikum Wuerzburg | Würzburg | 97078 | Germany |
| Saint Savas Hospital | Athens | 11522 | Greece |
| Henry Dunant Hospital Center | Athens | 11526 | Greece |
| Thoracic General Hospital Of Athens Sotiria | Athens | 11527 | Greece |
| Alexandra Hospital | Athens | 11528 | Greece |
| University Hospital of Heraklion | Heraklion - Crete | 71500 | Greece |
| Olympion Therapeftirio General Clinic Of Patras | Pátrai | 26443 | Greece |
| Saint Luke Hospital | Thessaloniki | 55236 | Greece |
| European Interbalkan Medical Center | Thessaloniki | 57001 | Greece |
| Semmelweis Egyetem | Budapest | 1083 | Hungary |
| Orszagos Koranyi Pulmonologiai Intezet | Budapest | 1121 | Hungary |
| Matrai Gyogyintezet | Gyöngyös | 3200 | Hungary |
| Fejer Varmegyei Szent Gyorgy Egyetemi Oktato Korhaz | Székesfehérvár | 8000 | Hungary |
| Komarom-Esztergom Varmegyei Szent Borbala Korhaz | Tatabánya | 2800 | Hungary |
| Reformatus Pulmonologiai Centrum | Törökbálint | 2045 | Hungary |
| Beaumont Hospital | Dublin | 9 | Ireland |
| Rambam Medical Center | Haifa | 3109601 | Israel |
| Hadassah Ein-Kerem Medical Center | Jerusalem | 9112001 | Israel |
| Meir Medical Center | Kfar Saba | 4428164 | Israel |
| Rabin Medical Center | Petah Tikva | 4941492 | Israel |
| Humanitas Gavazzeni | Bergamo | 24125 | Italy |
| Azienda Ospedaliera Universitaria Renato Dulbecco | Catanzaro | 88100 | Italy |
| Ospedale Policlinico San Martino IRCCS | Genova | 16132 | Italy |
| Istituto Romagnolo per lo Studio dei Tumori Dino Amadori | Meldola (FC) | 47014 | Italy |
| Azienda Ospedaliera Universitaria San Luigi Gonzaga | Orbassano | 10043 | Italy |
| Azienda Ospedaliera San Giovanni Addolorata | Roma | 00144 | Italy |
| National Hospital Organization Nagoya Medical Center | Nagoya | Aichi-ken | 460-0001 | Japan |
| Aichi Cancer Center | Nagoya | Aichi-ken | 464-8681 | Japan |
| National Cancer Center Hospital East | Kashiwa-shi | Chiba | 277-8577 | Japan |
| National Hospital Organization Shikoku Cancer Center | Matsuyama | Ehime | 791-0280 | Japan |
| Kurume University Hospital | Kurume-shi | Fukuoka | 830-0011 | Japan |
| National Hospital Organization Hokkaido Cancer Center | Sapporo | Hokkaido | 003-0804 | Japan |
| Hyogo Cancer Center | Akashi-shi | Hyōgo | 673-8558 | Japan |
| Kanagawa Prefectural Hospital Organization Kanagawa Cancer Center | Yokohama | Kanagawa | 241-8515 | Japan |
| Sendai Kousei Hospital | Sendai | Miyagi | 981-0914 | Japan |
| Niigata Cancer Center Hospital | Niigata | Niigata | 951-8566 | Japan |
| Okayama University Hospital | Okayama | Okayama-ken | 700-8558 | Japan |
| Kansai Medical University Hospital | Hirakata-shi | Osaka | 573-1191 | Japan |
| Osaka International Cancer Institute | Osaka | Osaka | 541-8567 | Japan |
| Kindai University Hospital | Osakasayama-shi | Osaka | 589-8511 | Japan |
| Saitama Medical University International Medical Center | Hidaka-Shi | Saitama | 350-1298 | Japan |
| Shizuoka Cancer Center | Sunto-gun | Shizuoka | 411-8777 | Japan |
| Juntendo University Hospital | Bunkyo-ku | Tokyo | 113-8431 | Japan |
| National Cancer Center Hospital | Chuo-ku | Tokyo | 104-0045 | Japan |
| The Cancer Institute Hospital of Japanese Foundation for Cancer Research | Koto-ku | Tokyo | 135-8550 | Japan |
| Wakayama Medical University Hospital | Wakayama | Wakayama | 641-8510 | Japan |
| University Malaya Medical Centre | Kuala Lumpur | Kuala Lumpur | 59100 | Malaysia |
| Hospital Tengku Ampuan Afzan | Kuantan | Pahang | 25100 | Malaysia |
| Sarawak General Hospital | Kuching | Sarawak | 93586 | Malaysia |
| coi Centro Oncologico Internacional sapi de cv | Tlajomulco de Zúñiga | Jalisco | 45640 | Mexico |
| Health Pharma Professional Research SA de CV | Mexico City | Mexico City | 03100 | Mexico |
| Oncare | Mexico City | Mexico City | 03810 | Mexico |
| Universitair Medisch Centrum Groningen | Groningen | 9713 GZ | Netherlands |
| Leids Universitair Medisch Centrum | Leiden | 2333 ZA | Netherlands |
| Erasmus Medisch Centrum | Rotterdam | 3015 GD | Netherlands |
| Universitair Medisch Centrum Utrecht | Utrecht | 3584 CX | Netherlands |
| Centrum Pulmonologii i Torakochirurgii w Bystrej | Bystra | 43-360 | Poland |
| Szpital Specjalistyczny imienia Ludwika Rydygiera w Krakowie Sp zoo | Krakow | 31-826 | Poland |
| Wielkopolskie Centrum Pulmonologii i Torakochirurgii imienia Eugenii i Janusza Zeylandow | Poznan | 60-569 | Poland |
| Hospital da Luz, SA | Lisbon | 1500-650 | Portugal |
| Hospital Cuf Descobertas | Lisbon | 1998-018 | Portugal |
| Unidade Local de Saude de Matosinhos, EPE - Hospital Pedro Hispano | Matosinhos Municipality | 4464-513 | Portugal |
| Hospital Cuf porto | Porto | 4100-180 | Portugal |
| Institutul Oncologic Prof Dr Ion Chiricuta Cluj-Napoca | Cluj-Napoca | 400015 | Romania |
| Centrul de Oncologie Sf Nectarie SRL | Craiova | 200542 | Romania |
| Institutul Regional de Oncologie Iasi | Iași | 700483 | Romania |
| SC Oncomed SRL | Timișoara | 300239 | Romania |
| National Cancer Centre Singapore | Singapore | 168583 | Singapore |
| Tan Tock Seng Hospital | Singapore | 308433 | Singapore |
| Chungbuk National University Hospital | Cheongju Chungbuk | 28644 | South Korea |
| National Cancer Center | Goyang-si Gyeonggi-do | 10408 | South Korea |
| Gachon University Gil Hospital | Incheon | 21565 | South Korea |
| Gyeongsang National University Hospital | Jinju | 52727 | South Korea |
| Seoul National University Bundang Hospital | Seongnam-si, Gyeonggi-do | 13620 | South Korea |
| Severance Hospital Yonsei University Health System | Seoul | 03722 | South Korea |
| Asan Medical Center | Seoul | 05505 | South Korea |
| Samsung Medical Center | Seoul | 06351 | South Korea |
| The Catholic University of Korea Seoul St Marys Hospital | Seoul | 06591 | South Korea |
| Ulsan University Hospital | Ulsan | 44033 | South Korea |
| Hospital Regional Universitario de Malaga | Málaga | Andalusia | 29011 | Spain |
| Hospital Clinico Universitario Lozano Blesa | Zaragoza | Aragon | 50009 | Spain |
| Hospital del Mar | Barcelona | Catalonia | 08003 | Spain |
| Hospital Universitari Vall d Hebron | Barcelona | Catalonia | 08035 | Spain |
| Hospital de la Santa Creu i Sant Pau | Barcelona | Catalonia | 08041 | Spain |
| Complexo Hospitalario Universitario A Coruna Hospital Teresa Herrera | A Coruña | Galicia | 15006 | Spain |
| Hospital Universitario Puerta de Hierro Majadahonda | Majadahonda | Madrid | 28222 | Spain |
| Fundacion Jimenez Diaz | Madrid | 28040 | Spain |
| Hospital Clinico San Carlos | Madrid | 28040 | Spain |
| Hospital Universitario 12 de Octubre | Madrid | 28041 | Spain |
| Kantonsspital Graubuenden | Chur | 7000 | Switzerland |
| Freiburg Spital | Fribourg | 1708 | Switzerland |
| Hopitaux universitaires de Geneve | Geneva | 1211 | Switzerland |
| Kantonsspital Sankt Gallen | Sankt Gallen | 9007 | Switzerland |
| Kantonsspital Winterthur | Winterthur | 8401 | Switzerland |
| Kaohsiung Medical University Chung-Ho Memorial Hospital | Kaohsiung City | 80756 | Taiwan |
| Veterans General Hospital - Taichung | Taichung | 40705 | Taiwan |
| National Cheng Kung University Hospital | Tainan | 70403 | Taiwan |
| National Taiwan University Hospital | Taipei | 10002 | Taiwan |
| Taipei Veterans General Hospital | Taipei | 11217 | Taiwan |
| Memorial Ankara Hastanesi | Ankara | 06520 | Turkey (Türkiye) |
| Gazi Universitesi Saglik Arastirma ve Uygulama Merkezi Gazi Hastanesi | Ankara | 06560 | Turkey (Türkiye) |
| Ankara Bilkent Sehir Hastanesi | Ankara | 06800 | Turkey (Türkiye) |
| Pamukkale Universitesi Tip Fakultesi Hastanesi | Denizli | 20070 | Turkey (Türkiye) |
| Bagcilar Medipol Mega Universite Hastanesi | Istanbul | 34214 | Turkey (Türkiye) |
| Goztepe Prof Dr Suleyman Yalcin Sehir Hastanesi | Istanbul | 34722 | Turkey (Türkiye) |
| Ege Universitesi Tip Fakultesi Hastanesi | Izmir | 35100 | Turkey (Türkiye) |
| Izmir Ekonomi Universitesi Medical Point Hastanesi | Izmir | 35575 | Turkey (Türkiye) |
| Inonu Universitesi Turgut Ozal Tip Merkezi | Malatya | 44280 | Turkey (Türkiye) |
| University College London Hospital | London | NW1 2PG | United Kingdom |
| Guys Hospital | London | SE1 9RT | United Kingdom |
| Christie Hospital | Manchester | M20 4BX | United Kingdom |
| Derived |
| Dirnberger F, Patel S, Boyne DJ, Lan Z, Uyei J, Wang J, Cho S, DeCosta L, Bridges IM, Tapan U. Matching-Adjusted Indirect Comparison of Tarlatamab for Patients with Platinum-Refractory or Platinum-Resistant Extensive-Stage Small-Cell Lung Cancer. Adv Ther. 2026 Jun 30. doi: 10.1007/s12325-026-03659-4. Online ahead of print. |
| 39530627 | Derived | Ahn MJ, Cho BC, Felip E, Korantzis I, Ohashi K, Majem M, Juan-Vidal O, Handzhiev S, Izumi H, Lee JS, Dziadziuszko R, Wolf J, Blackhall F, Reck M, Alvarez JB, Hummel HD, Dingemans AC, Sands J, Akamatsu H, Owonikoko TK, Ramalingam SS, Borghaei H, Johnson ML, Huang S, Mukherjee S, Minocha M, Jiang T, Martinez P, Anderson ES, Paz-Ares L. Plain language summary: tarlatamab for patients with previously treated small cell lung cancer. Future Oncol. 2024 Dec;20(40):3355-3364. doi: 10.1080/14796694.2024.2402152. Epub 2024 Nov 12. |
Participants were randomized to receive tarlatamab as an intravenous (IV) infusion: A step dose of 1 mg on Cycle 1 Day 1 followed by the target dose 10 mg on Cycle 1 Day 8, Cycle 1 Day 15, and every 2 weeks (Q2W) thereafter.
| COMPLETED |
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| NOT COMPLETED |
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The intent-to-treat (ITT) analysis set included all randomized participants.
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | Standard of Care (SOC) | Participants were randomized to receive treatment according to the local SOC chemotherapy (lurbinectedin, topotecan, or amrubicin [Japan only]) in 21-day cycles. |
| BG001 | Tarlatamab 1 mg to 10 mg Q2W | Participants were randomized to receive tarlatamab as an IV infusion: A step dose of 1 mg on Cycle 1 Day 1 followed by the target dose 10 mg on Cycle 1 Day 8, Cycle 1 Day 15, and Q2W thereafter. |
| BG002 | Total | Total of all reporting groups |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean | Standard Deviation | years |
| |||||||||||||||
| Sex: Female, Male | Count of Participants | Participants |
| ||||||||||||||||
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
| ||||||||||||||||
| Race/Ethnicity, Customized | Count of Participants | Participants |
|
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Secondary | Progression Free Survival (PFS) | PFS was defined as time from randomization until disease progression (PD) or death from any cause, whichever occurs first for all participants. Progression was based on investigator assessment of disease response per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. PD: radiologic detection of ≥ 20% increase in the sum of diameters of target lesions and ≥ 5 mm absolute increase, or unequivocal progression of non-index lesions, or the presence of new lesions. 95% CIs were calculated using the Brookmeyer and Crowley method. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Change From Baseline in Selected Functional Scales and Disease Symptom Items Included in the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) | The EORTC QLQ-C30 was developed to assess quality of life in cancer participants across tumor types. It was a self-reported, 30-item generic instrument that assessed five functional scales (physical, role, emotional, cognitive, social); nine disease symptom items (fatigue, nausea and vomiting, pain, dyspnea, insomnia, appetite loss, constipation, diarrhea, financial difficulties); and a global health status (GHS)/quality of life (QOL) scale. Questionnaire score ranged from 0 to 100. For the functional scales, higher scores indicated high/healthy level of functioning; for the disease symptom scales, higher scores indicated greater symptom burden; and for the GHS/QoL scale, higher scores represented a high QoL. A negative change from baseline indicated reduction in functioning, improvement in symptom burden and reduction in health and quality of life. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Change From Baseline in Selected Disease Symptoms Included in the European Organization for Research and Treatment of Lung Cancer Quality of Life Questionnaire (EORTC-QLQ-LC13) | The EORTC QLQ-LC13 was a disease-specific supplement to the EORTC QLQ-C30. It included multi-item and single-item measures of lung cancer symptoms (coughing, hemoptysis, dyspnea, pain) and treatment side effects (hair loss, neuropathy, sore mouth, dysphagia). Scores ranged from 0 to 100, with higher scores indicating a greater degree of symptom severity. A negative change from baseline indicated improvement in symptom burden or side effect severity. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Objective Response Rate (ORR) | ORR was defined as the percentage of participants with a confirmed best overall response of complete response (CR) or partial response (PR) based on the RECIST v1.1. CR: complete disappearance of all lesions and pathologic lymph nodes reduced in short axis to < 10 mm. PR: decrease in tumor burden of ≥ 30% relative to baseline, or complete disappearance of all index lesions with the presence of non-index lesions. 95% CIs were calculated using the Brookmeyer and Crowley method. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Disease Control Rate (DCR) | DCR was defined as the percentage of participants documented to have a CR, PR or stable disease (SD) per RECIST v1.1. CR: complete disappearance of all lesions and pathologic lymph nodes reduced in short axis to < 10 mm. PR: decrease in tumor burden of ≥ 30% relative to baseline, or complete disappearance of all index lesions with the presence of non-index lesions. SD: Index lesions not meeting the criteria for CR, PR, or PD or the persistence of one or more non-index lesions. Exact 95% CIs were calculated using the Clopper-Pearson method. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Duration of Response (DOR) | DOR was defined as the time from the first documentation of OR until the first documentation of PD or death due to any cause, whichever occurred first determined by the investigator per RECIST v1.1. Only participants who had achieved OR will be evaluated for DOR. PD: radiologic detection of ≥ 20% increase in in the sum of diameters of target lesions and ≥ 5 mm absolute increase, or unequivocal progression of non-index lesions, or the presence of new lesions. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | PFS at Year 1 | PFS was defined as time from randomization until PD or death from any cause, whichever occurs first for all participants. Progression was based on investigator assessment of disease response per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. PD: radiologic detection of ≥ 20% increase in in the sum of diameters of target lesions and ≥ 5 mm absolute increase, or unequivocal progression of non-index lesions, or the presence of new lesions. 95% CIs were calculated using the Brookmeyer and Crowley method. | Not Posted | Mar 2028 | 1 year | Participants | |||||||||||||||||||||
| Secondary | OS at Year 1, 2 and 3 | OS was defined as time from randomization until death from any cause. Median overall survival was estimated using Kaplan-Meier method. 95% CIs were calculated using the Brookmeyer and Crowley method. | Not Posted | Mar 2028 | 1 year, 2 years and 3 years | Participants | |||||||||||||||||||||
| Secondary | Number of Participants With Anti-tarlatamab Antibodies | Incidence of treatment emergent adverse events including grade ≥ 3 treatment emergent adverse events, serious treatment emergent adverse events, treatment emergent adverse events leading to treatment discontinuation, fatal treatment emergent adverse events, and treatment-related treatment emergent adverse events. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Trough Concentration (Ctrough) of Tarlatamab | Blood samples were collected for measurement of serum concentrations of tarlatamab. | Not Posted | Mar 2028 | Up to 1 year | Participants | |||||||||||||||||||||
| Secondary | Number of Participants Who Experienced Anti-tarlatamab Antibodies | Not Posted | Mar 2028 | Up to 1 year | Participants | ||||||||||||||||||||||
| Secondary | Change From Baseline in Pain Severity as Measured by Brief Pain Inventory - Short Form (BPI-SF) | The BPI-SF (Pain) was a valid and reliable instrument, which was a commonly used tool to capture severity of pain and its impact on daily functioning. The BPI-SF measured intensity of pain at four time points (worst, least, average, and right now), pain relief, and seven interference items (general activity, mood, walking ability, normal work, relations with other people, sleep, and enjoyment of life). Scoring for pain ranged from 0 (no pain) to 10 (worst pain), and for pain interference from 0 (no interference) to 10 (complete interference). A negative change from baseline indicated a reduction in pain severity or interference. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Change From Baseline in Symptom Severity as Measured by Patient Global Impression of Severity (PGIS) Questionnaire | PGIS was used to measure a patient's perceived severity of symptoms. PGIS scale asked respondents to describe the severity of their symptoms, overall status, etc, over the past week. The 4-level PGIS response options were: 1: none, 2: mild, 3: moderate, and 4: severe. Higher scores indicated severe condition. A negative change from baseline indicated an improvement in severity. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Change From Baseline in Symptoms and Overall Status as Measured by Patient Reported Impression of Change (PGIC) Questionnaire | PGIC measures were used in the measurement of within-patient meaningful change (response) thresholds for disease symptoms/impacts of interest. The PGIC scale asked respondents to rate the overall change in symptoms, overall status, etc., since initiating treatment with the medication. The 5-level PGIC response options were: 1: much better, 2: a little better, 3: about the same, 4: a little worse, and 5: much worse. Higher scores indicated worsening condition. A negative change from baseline indicated an improvement in symptoms. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Summary Scores of Patient-perceived Health at Each Assessment Visit Using the Visual Analogue Scale (VAS) as Measured by the 5-Level EuroQol-5 Dimension (EQ-5D-5L) | The EQ5D-5L questionnaire was a standardized instrument used as a measure of health outcome developed by the EuroQol group. It was comprised of a 5-dimension health status measure and a VAS. The 5-dimension health status measure evaluated: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression based on a 5-level scale: 1: no problems, 2: slight problems, 3: moderate problems, 4: severe problems, 5: an extreme problem. Higher scores (closer to 5) indicated worse health status. The VAS recorded the participant's self-rated health on a vertical VAS where the endpoints were labelled 'Worst imaginable health state' and 'Best imaginable health state'. VAS ranged from 0 to 100. Higher scores indicated better perceived health. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Change From Baseline in Patient Perceived Health Using VAS Score as Measured by EQ5D-5L | The EQ5D-5L questionnaire was a standardized instrument used as a measure of health outcome developed by the EuroQol group. It was comprised of a 5-dimension health status measure and a VAS. The 5-dimension health status measure evaluated: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression based on a 5-level scale: 1: no problems, 2: slight problems, 3: moderate problems, 4: severe problems, 5: an extreme problem. Higher scores (closer to 5) indicated worse health status. The VAS recorded the participant's self-rated health on a vertical VAS where the endpoints were labelled 'Worst imaginable health state' and 'Best imaginable health state'. VAS ranged from 0 to 100. Higher scores indicated better Perceived health. A negative change from baseline indicated a reduction in better perceived health. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Responses to Patient-Reported Adverse Events Questionnaire (PRO-CTCAE) | PRO-CTCAE was a 78-item library used to measure patient-reported symptomatic adverse events. Users selected items that were most relevant to the disease, treatment profile, and fit for purpose to document patients' experience. Each symptom was rated by up to 3 attributes: presence/frequency, severity, and/or interference of the adverse event. Based on the safety profile of tarlatamab and SOC therapy, the study included the following symptoms: shivering or shaking chills, anxiety, constipation, taste changes, vomiting, headache, concentration, rash, palpitations, arm or leg swelling, nausea, dizziness, bruising, fatigue, and decreased appetite, which were deemed relevant for the site of cancer as well as cancer treatment. Responses were typically scored on a 5-point ordinal scale, with values ranging from 0 to 4. Higher scores indicated greater symptom burden. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Secondary | Change From Baseline in Symptom Bother as Measured by Functional Assessment of Cancer Therapy - General (FACT-G) Questionnaire | FACT-G was a 27-item questionnaire designed to measure four domains of health-related quality of life in cancer patients: physical, social, emotional, and functional well-being. The GP5 of the FACT-G was a single item: "I am bothered by side effects of treatment", rated on a 5-point Likert scale from 0: not at all to 4: very much. Higher scores indicated greater impact of side effects. A negative change from baseline indicated improvement in impact of side effects. | Not Posted | Mar 2028 | Up to approximately 4 years | Participants | |||||||||||||||||||||
| Primary | Overall Survival (OS) | OS was defined as time from randomization until death from any cause. Median overall survival was estimated using Kaplan-Meier method. 95% confidence intervals (CIs) were calculated using the Brookmeyer and Crowley method. | The ITT analysis set included all randomized participants. | Posted | Median | 95% Confidence Interval | months | From randomization up to minimum of death or primary completion DCO date 29 January 2025; median (min, max) time on the study was 8.6 (0.1, 18.5) months |
|
|
All-cause mortality: from randomization up to primary completion DCO date 29 January 2025; median (min, max) time was 8.6 (0.1, 18.5) months. Adverse events were collected from first dose of drug up to last dose + 65 days up to primary completion DCO date 29 January 2025; median (min, max) time was 5.3 (0.1, 17.3) months.
All-cause mortality is reported for all participants enrolled/randomized in the study. Serious adverse events and other adverse events are reported for all participants who received at least one dose of study drug.
Not provided
| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Standard of Care (SOC) | Participants were randomized to receive treatment according to the local SOC chemotherapy (lurbinectedin, topotecan, or amrubicin [Japan only]) in 21-day cycles. | 152 | 255 | 125 | 244 | 234 | 244 |
| EG001 | Tarlatamab 1 mg to 10 mg Q2W | Participants were randomized to receive tarlatamab as an IV infusion: A step dose of 1 mg on Cycle 1 Day 1 followed by the target dose 10 mg on Cycle 1 Day 8, Cycle 1 Day 15, and Q2W thereafter. | 111 | 254 | 129 | 252 | 244 | 252 |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Anaemia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Febrile neutropenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Leukopenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Neutropenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pancytopenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Thrombocytopenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Angina pectoris | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Angina unstable | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cardiac arrest | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cardiac failure | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cardiac tamponade | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cardio-respiratory arrest | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Palpitations | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pericardial effusion | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pericarditis malignant | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Sinus bradycardia | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Sinus node dysfunction | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Sinus tachycardia | Cardiac disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cushing's syndrome | Endocrine disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Inappropriate antidiuretic hormone secretion | Endocrine disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Secondary adrenocortical insufficiency | Endocrine disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Abdominal pain lower | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Constipation | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Diarrhoea | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dysphagia | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Gastric haemorrhage | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Gastric perforation | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Gastrointestinal disorder | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Haemorrhoidal haemorrhage | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Intestinal obstruction | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Large intestine perforation | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Nausea | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pancreatitis acute | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Asthenia | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Chest pain | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Death | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Fat necrosis | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Fatigue | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| General physical health deterioration | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Multiple organ dysfunction syndrome | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Nodule | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pain | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pyrexia | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Sudden death | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Ampulla of Vater stenosis | Hepatobiliary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Bile duct stenosis | Hepatobiliary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Biliary dilatation | Hepatobiliary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Biliary obstruction | Hepatobiliary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cholangitis | Hepatobiliary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cholecystitis acute | Hepatobiliary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Hepatotoxicity | Hepatobiliary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cytokine release syndrome | Immune system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Abdominal infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Appendicitis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Arthritis bacterial | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Bacterial infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| COVID-19 | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Campylobacter gastroenteritis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Candida sepsis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Clostridium difficile colitis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Clostridium difficile infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Cystitis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Device related infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Diarrhoea infectious | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Gastroenteritis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Herpes zoster | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Infectious pleural effusion | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Injection site infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Lower respiratory tract infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Neutropenic infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Osteomyelitis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Pneumonia | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Pneumonia aspiration | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Pneumonia bacterial | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Respiratory tract infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Scrotal infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Sepsis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Septic shock | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Staphylococcal sepsis | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Upper respiratory tract infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Urinary tract infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Vascular device infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Viral infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Arteriovenous fistula site haemorrhage | Injury, poisoning and procedural complications | MedDRA 27.1 | Systematic Assessment |
| |
| Arteriovenous fistula site pseudoaneurysm | Injury, poisoning and procedural complications | MedDRA 27.1 | Systematic Assessment |
| |
| Fall | Injury, poisoning and procedural complications | MedDRA 27.1 | Systematic Assessment |
| |
| Femoral neck fracture | Injury, poisoning and procedural complications | MedDRA 27.1 | Systematic Assessment |
| |
| Femur fracture | Injury, poisoning and procedural complications | MedDRA 27.1 | Systematic Assessment |
| |
| Hip fracture | Injury, poisoning and procedural complications | MedDRA 27.1 | Systematic Assessment |
| |
| Infusion related reaction | Injury, poisoning and procedural complications | MedDRA 27.1 | Systematic Assessment |
| |
| Amylase increased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Blood bilirubin increased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Eastern Cooperative Oncology Group performance status worsened | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Neutrophil count decreased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Platelet count decreased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| White blood cell count decreased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Decreased appetite | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dehydration | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Hyperglycaemia | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Hyponatraemia | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Tumour lysis syndrome | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Type 2 diabetes mellitus | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Arthralgia | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Back pain | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Bone pain | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dysponesis | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Muscular weakness | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Spinal stenosis | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Brain cancer metastatic | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | MedDRA 27.1 | Systematic Assessment |
| |
| Cancer fatigue | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | MedDRA 27.1 | Systematic Assessment |
| |
| Haemangiopericytoma | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | MedDRA 27.1 | Systematic Assessment |
| |
| Aphasia | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Brain oedema | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Coma | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Epilepsy | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Facial paralysis | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Headache | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Immune effector cell-associated neurotoxicity syndrome | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Ischaemic stroke | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Lethargy | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Neuropathy peripheral | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Paraneoplastic encephalomyelitis | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Seizure | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Spinal cord compression | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Syncope | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Tonic convulsion | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Confusional state | Psychiatric disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Acute kidney injury | Renal and urinary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dysuria | Renal and urinary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Renal impairment | Renal and urinary disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Bronchial obstruction | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Chronic obstructive pulmonary disease | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dyspnoea | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Haemoptysis | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Malignant pleural effusion | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pleural effusion | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pneumonitis | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pneumothorax | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pulmonary embolism | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pulmonary haemorrhage | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pulmonary oedema | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Respiratory failure | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Petechiae | Skin and subcutaneous tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Euthanasia | Surgical and medical procedures | MedDRA 27.1 | Systematic Assessment |
| |
| Aortic aneurysm | Vascular disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Circulatory collapse | Vascular disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Superior vena cava syndrome | Vascular disorders | MedDRA 27.1 | Systematic Assessment |
|
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Anaemia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Leukopenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Lymphopenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Neutropenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Thrombocytopenia | Blood and lymphatic system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Abdominal pain | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Constipation | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Diarrhoea | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dyspepsia | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Nausea | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Vomiting | Gastrointestinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Asthenia | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Chest pain | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Fatigue | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pyrexia | General disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cytokine release syndrome | Immune system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pneumonia | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Urinary tract infection | Infections and infestations | MedDRA 27.1 | Systematic Assessment |
| |
| Alanine aminotransferase increased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Aspartate aminotransferase increased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Lymphocyte count decreased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Neutrophil count decreased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Platelet count decreased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Weight decreased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| White blood cell count decreased | Investigations | MedDRA 27.1 | Systematic Assessment |
| |
| Decreased appetite | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Hypoalbuminaemia | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Hypokalaemia | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Hypomagnesaemia | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Hyponatraemia | Metabolism and nutrition disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Arthralgia | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Back pain | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Myalgia | Musculoskeletal and connective tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dizziness | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dysgeusia | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Headache | Nervous system disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Insomnia | Psychiatric disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Cough | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Dyspnoea | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Productive cough | Respiratory, thoracic and mediastinal disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Alopecia | Skin and subcutaneous tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Pruritus | Skin and subcutaneous tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Rash | Skin and subcutaneous tissue disorders | MedDRA 27.1 | Systematic Assessment |
| |
| Hypertension | Vascular disorders | MedDRA 27.1 | Systematic Assessment |
|
The Clinical Trial Agreement generally does not restrict an investigator's discussion of trial results after completion. The Agreement permits Amgen a limited period of time to review material discussing trial results (typically up to 45 days and possible extension). Amgen may remove confidential information, but authors have final control and approval of publication content. For multicenter studies, the investigator agrees not to publish any results before the first multi-center publication.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Study Director | Amgen Inc. | 866-572-6436 | medinfo@amgen.com |
| Prot_000.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan | Feb 6, 2025 | Dec 12, 2025 | SAP_001.pdf |
| ID | Term |
|---|---|
| D055752 | Small Cell Lung Carcinoma |
| ID | Term |
|---|---|
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
Not provided
Not provided
| ID | Term |
|---|---|
| C000722655 | AMG 757 |
| C568606 | PM 01183 |
| D019772 | Topotecan |
| C055866 | amrubicin |
| ID | Term |
|---|---|
| D002166 | Camptothecin |
| D000470 | Alkaloids |
| D006571 | Heterocyclic Compounds |
Not provided
Not provided
| Male |
|
| Not Hispanic or Latino |
|
| Unknown or Not Reported |
|
| Black or African American |
|
| White |
|
| American Indian or Alaska Native |
|
| Other |
|
| Unknown or Not Reported |
|
|
|