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The study is designed as an open-label, randomized, parallel, two arm, multicenter, international Phase 3 study in patients with recurrent or metastatic breast cancer previously treated with cytotoxic chemotherapy regimens.
The primary study objective is to compare overall survival of patients who receive NKTR-102 given once every 21 days to patients who receive treatment of Physician's Choice selected from a list of seven single-agent intravenous therapies.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| NKTR-102 | Experimental |
| |
| Physician's Treatment of Choice | Active Comparator |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| NKTR-102 | Drug | 145 mg/m2 NKTR-102 will be delivered q21day as a 90-minute intravenous (IV) infusion on day 1 of each treatment cycle. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Kaplan-Meier Estimate of Overall Survival: Intention to Treat (ITT) Population | Duration of OS was defined as the time from the date of randomisation to the date of death due to any cause. Subjects were followed until their date of death, loss to follow-up, withdrawal of consent for further follow-up for survival, or final database closure. OS was determined using the ITT population which included all subjects randomized into 1 of the 2 treatment arms. Subjects who were lost-to-follow-up or were not known to have died were censored at last date they were shown to be alive. Subjects who did not have any follow-up since the date of randomization were censored at the date of randomization. | 36 Months |
| Measure | Description | Time Frame |
|---|---|---|
| Kaplan-Meier Estimate of Progression-Free Survival (PFS): ITT Population | PFS was defined as the time from the date of randomization to the earliest date of disease progression (assessed by the investigator according to RECIST version 1.1) or death due to any cause. PFS was determined using the ITT population which included all subjects randomized into 1 of the 2 treatment arms. For subjects whose disease did not progress or who did not die, the PFS time was censored at the time of the last tumor assessment that demonstrated lack of disease progression. For subjects who received new anti-cancer therapy, the PFS time was censored at the start of the new anti-cancer therapy. |
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Inclusion Criteria (major highlights):
Exclusion Criteria (major highlights):
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| Name | Affiliation | Role |
|---|---|---|
| Alison Hannah, MD | Nektar Therapeutics | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Arizona Oncology Associates, PC - NAHOA | Flagstaff | Arizona | 86001 | United States | ||
| Providence Health System - Southern California d/b/a Roy and Patricia Disney Family Cancer Center |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30957581 | Derived | Park EJ, Choi J, Lee KC, Na DH. Emerging PEGylated non-biologic drugs. Expert Opin Emerg Drugs. 2019 Jun;24(2):107-119. doi: 10.1080/14728214.2019.1604684. Epub 2019 Apr 19. | |
| 28612225 | Derived | Cortes J, Rugo HS, Awada A, Twelves C, Perez EA, Im SA, Gomez-Pardo P, Schwartzberg LS, Dieras V, Yardley DA, Potter DA, Mailliez A, Moreno-Aspitia A, Ahn JS, Zhao C, Hoch U, Tagliaferri M, Hannah AL, O'Shaughnessy J. Prolonged survival in patients with breast cancer and a history of brain metastases: results of a preplanned subgroup analysis from the randomized phase III BEACON trial. Breast Cancer Res Treat. 2017 Sep;165(2):329-341. doi: 10.1007/s10549-017-4304-7. Epub 2017 Jun 13. |
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| ID | Title | Description |
|---|---|---|
| FG000 | NKTR-102 | NKTR-102: 145 mg/m2 NKTR-102 will be delivered q21day as a 90 minute intravenous (IV) infusion on day 1 of each treatment cycle. |
| FG001 | Physician's Treatment of Choice |
| Title | Milestones | Reasons Not Completed | |||||
|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| Treatment of Physician's Choice (TPC) | Drug | One of the following Treatment of Physician Choice will be administered per standard of care: eribulin, ixabepilone, vinorelbine, gemcitabine, paclitaxel, docetaxel, or nab-paclitaxel |
|
| Up to 38 months. |
| Clinical Benefit Rate (CBR): ITT Population | CBR was defined as the proportion of subjects with a CR, PR, or stable disease (SD) for at least 6 months (≥ 182 days). | Up to 38 months. |
| Duration of Response (DOR): Efficacy Evaluable Population | DOR was defined as the time from first documented CR or PR until the earliest evidence of disease progression or death from any cause. Subjects who were alive without documented disease progression per RECIST version 1.1 were censored at the date of last tumor assessment without disease progression or start of new anti-cancer therapy for the study disease. | Up to 38 months. |
| Incidence of Dose Reductions: Safety Population | Proportion of subjects who had a reduction in dose. | Up to 38 months. |
| Quality of Life Questionnaire-Core 30 (QLQ-C30) Individual Scale, Overall Score: ITT Population | The QLQ-C30 is composed of 5 multi-item functional scales (physical, role, social, emotional and cognitive functioning), a global health status/QoL scale, 3 symptom scales (fatigue, nausea/vomiting, and pain), and 6 single items (financial impact, appetite loss, diarrhoea, constipation, insomnia and dyspnoea). Most items are scaled 1 to 4 (1 = not at all, 2 = a little, 3 = quite a bit, 4 = very much) except the items contributing to the global health status/QoL, which are 7-point questions (1 = very poor to 7 = excellent). Raw scores were transformed using a linear transformation to standardize the results so that scores range from 0 to 100. n=number of subjects who completed each individual scale. Note that for scores measuring function, a higher score represented a higher "better" level of functioning, while for scores measuring symptoms, a higher score represented a lower "worse" level of symptoms. | Up to 39 months |
| QLQ-C30 Individual Scale, Change Over Time: ITT Population | The QLQ-C30 is composed of 5 multi-item functional scales (physical, role, social, emotional and cognitive functioning), a global health status/QoL scale, 3 symptom scales (fatigue, nausea/vomiting, and pain), and 6 single items (financial impact, appetite loss, diarrhea, constipation, insomnia and dyspnea). Most items are scaled 1 to 4 (1 = not at all, 2 = a little, 3 = quite a bit, 4 = very much) except the items contributing to the global health status/QoL, which are 7-point questions (from 1 = very poor to 7 = excellent). Raw scores were transformed using a linear transformation to standardize the results so that scores range from 0 to 100. n=number of subjects who completed each individual scale. Note that for scores measuring function, a higher score represented a higher "better" level of functioning, while for scores measuring symptoms, a higher score represented a lower "worse" level of symptoms. | From Baseline to Week 8, Week 16, Week 24, Week 32, Week 40, Week 48, Week 56. |
| Quality of Life Questionnaire-breast Cancer-specific Module (BR23) Score Value: ITT Population | The QLQ-BR23 incorporates 5 multi-item scales to assess systemic therapy side effects, arm symptoms, breast symptoms, body image and sexual functioning, and 3 single items to assess sexual enjoyment, upset by hair loss and future perspective. Most items were scaled one to four except the items contributing to the global health status/QoL, which were seven-point questions. Raw scores were transformed using a linear transformation to standardize the results so that scores ranged from 0-100. Note that for scores measuring function, a higher score represented a higher "better" level of functioning, while for scores measuring symptoms, a higher score represented a lower "worse" level of symptoms. | Baseline |
| BR23 Score Change Over Time: ITT Population | The QLQ-BR23 incorporates 5 multi-item scales to assess systemic therapy side effects, arm symptoms, breast symptoms, body image and sexual functioning, and 3 single items assess sexual enjoyment, upset by hair loss and future perspective. Most items were scaled one to four except the items contributing to the global health status/QoL, which were seven-point questions. Raw scores were transformed using a linear transformation to standardize the results so that scores ranged from 0-100. Note that for scores measuring function, a higher score represented a higher "better" level of functioning, while for scores measuring symptoms, a higher score represented a lower "worse" level of symptoms. | Up to 38 months. |
| Population Mean ± Standard Deviation (SD) Area Under the Concentration-Time Curve (AUC) for NKTR-102 and Metabolites After Multiple Administration of 145 mg/m^2 NKTR-102 [25] | Plasma concentrations of NKTR-102 and its major metabolites irinotecan, SN38, SN38G, and APC were measured using validated analytical methods. The population pharmacokinetic (PK) model-derived mean AUC values were computed by integration from t = 0 (start of first dose) to 21 days after the last dose. Integration was implemented using a separate compartment defined as the amount of drug or metabolite in the central compartment divided by the model-estimated volume of distribution. | Up to 38 months. |
| Population Mean ± SD Maximum Plasma Concentration (Cmax) for NKTR-102 and Metabolites After Multiple Administration of 145 mg/m^2 NKTR-102 [26] | Plasma concentrations of NKTR-102 and its major metabolites irinotecan, SN38, SN38G, and APC were measured using validated analytical methods. The population PK model-derived mean Cmax values were computed by integration from t = 0 (start of first dose) to 21 days after the last dose. Integration was implemented using a separate compartment defined as the amount of drug or metabolite in the central compartment divided by the model-estimated volume of distribution. | Up to 38 months. |
| Population Mean ± SD Elimination Half-life (t½) for NKTR-102 After Multiple Administration of 145 mg/m^2 NKTR-102 [27] | Plasma concentrations of NKTR-102 and its major metabolites irinotecan, SN38, SN38G, and APC were measured using validated analytical methods. The population PK model-derived mean t½ values were computed by integration from t = 0 (start of first dose) to 21 days after the last dose. Integration was implemented using a separate compartment defined as the amount of drug or metabolite in the central compartment divided by the model-estimated volume of distribution. The t½ of all analytes was primarily driven by NKTR-102. Thus, the NKTR-102 t½ of 37 days also applies to all NKTR-102 metabolites. | Up to 38 months. |
| Objective Response Rate (ORR): Efficacy Evaluable Population | ORR was defined as the proportion of subjects with a complete response (CR) or a partial response (PR), assessed by the investigator based on Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 The analyses were performed for subjects in the efficacy evaluable population who had measurable disease as determined by the investigator at baseline. | Up to 38 months. |
| Burbank |
| California |
| 91505 |
| United States |
| University of Southern California | Los Angeles | California | 90033 | United States |
| PMK Medical Group, Inc., DBA Ventura County Hematology Oncology Specialists | Oxnard | California | 93030 | United States |
| Wilshire Oncology Medical Group, Inc. | Pasadena | California | 91105 | United States |
| Desert Hematology Oncology Medical Group | Rancho Mirage | California | 92270 | United States |
| University of California San Francisco | San Francisco | California | 94143 | United States |
| Stanford University School of Medicine | Stanford | California | 94305 | United States |
| Kaiser Permanente | Vallejo | California | 94589 | United States |
| Rocky Mountain Cancer Centers | Denver | Colorado | 80220 | United States |
| Pre clinical Science Bldg LR3 | Washington D.C. | District of Columbia | 20007 | United States |
| Medstar | Washington D.C. | District of Columbia | 20010 | United States |
| Mayo Clinic in Florida | Jacksonville | Florida | 32224 | United States |
| University of Miami School of Medicine | Miami | Florida | 33136 | United States |
| Advanced Medical Specialties | Miami | Florida | 33176 | United States |
| Florida Cancer Research Institute | Plantation | Florida | 33324 | United States |
| Hematology Oncology Associates of the Treasure Coast | Port Saint Lucie | Florida | 34592 | United States |
| Northeast Georgia Cancer Care | Athens | Georgia | 30607 | United States |
| Peachtree Hematology Oncology Consultants | Atlanta | Georgia | 30318 | United States |
| Emory University | Atlanta | Georgia | 30322 | United States |
| Central Georgia Cancer Care | Macon | Georgia | 31201 | United States |
| Northwest Georgia Oncology Centers, P.C. | Marietta | Georgia | 30060 | United States |
| Summit Cancer Care, P.C. | Savannah | Georgia | 31405 | United States |
| The University of Chicago Medicine | Chicago | Illinois | 60637 | United States |
| Oncology Specialists | Niles | Illinois | 60714 | United States |
| Illinois Cancer Care, P.C. | Peoria | Illinois | 61547 | United States |
| IU Health Simon Cancer Center | Indianapolis | Indiana | 46202 | United States |
| Hall-Perrine Cancer Center, 3rd Floor | Cedar Rapids | Iowa | 52403 | United States |
| Kansas City Cancer Center | Overland Park | Kansas | 66210 | United States |
| Louisville Oncology Clinical Research Program | Louisville | Kentucky | 40207 | United States |
| Maryland Oncology Hematology, P.A. | Columbia | Maryland | 21044 | United States |
| Minnesota Oncology Hematology, P.A. | Minneapolis | Minnesota | 55404 | United States |
| University of Minnesota | Minneapolis | Minnesota | 55455 | United States |
| Mayo Clinic | Rochester | Minnesota | 55905 | United States |
| Coborn Cancer Center | Saint Cloud | Minnesota | 56303 | United States |
| Missouri Cancer Associates | Columbia | Missouri | 65201 | United States |
| Washington University in St. Louis | St Louis | Missouri | 63110 | United States |
| Missouri Baptist Medical Center | St Louis | Missouri | 63131 | United States |
| Frontier Cancer Center and Blood Institute | Billings | Montana | 59102 | United States |
| Dartmouth-Hitchcock Medical Center | Lebanon | New Hampshire | 03756 | United States |
| Hematology-Oncology Associates of Northern NJ, PA | Morristown | New Jersey | 07962 | United States |
| The cancer Institute of New Jersey | New Brunswick | New Jersey | 08901 | United States |
| Cooper University Hospital | Voorhees Township | New Jersey | 08043 | United States |
| UNM Cancer Center | Albuquerque | New Mexico | 87106 | United States |
| New York Oncology Hematology, P.C. | Albany | New York | 12206 | United States |
| Beth Israel Medical Center | New York | New York | 10003 | United States |
| Cornell University | New York | New York | 10065 | United States |
| SUNY Upstate Medical University | Syracuse | New York | 13210 | United States |
| Monte fiore | The Bronx | New York | 10461 | United States |
| Sciode Medical Associates, PLLC, d.b.a. Eastchester Center for Cancer Care | The Bronx | New York | 10469 | United States |
| Carolinas Hematology Oncology Associates | Charlotte | North Carolina | 28202 | United States |
| DUMC, Duke South | Durham | North Carolina | 27710 | United States |
| Sanford Research/USD | Fargo | North Dakota | 58122 | United States |
| University of Cincinnati | Cincinnati | Ohio | 45267-0502 | United States |
| Comprehensive Breast Cancer | Columbus | Ohio | 43212 | United States |
| Signal Point Clinical Research Center | Middletown | Ohio | 45042 | United States |
| Northwest Cancer Specialists, P.C. | Portland | Oregon | 97225 | United States |
| Medical Oncology Associates of Wyoming Valley, PC | Kingston | Pennsylvania | 18704 | United States |
| Cancer Centers of the Carolinas | Easley | South Carolina | 29640 | United States |
| Sanford Research/USD | Sioux Falls | South Dakota | 57104 | United States |
| The West Clinic | Memphis | Tennessee | 38120 | United States |
| Sarah Cannon Research Institute (SCRI) | Nashville | Tennessee | 37203 | United States |
| Sarah Cannon Research Institute | Nashville | Tennessee | 37203 | United States |
| Texas Oncology-Abilene | Abilene | Texas | 79606 | United States |
| Texas Oncology-Austin Midtown | Austin | Texas | 78705 | United States |
| Texas Oncology-Beaumont, Mamie McFaddin Ward Cancer Center | Beaumont | Texas | 77702 | United States |
| Texas Oncology-Bedford | Bedford | Texas | 76022 | United States |
| Texas Oncology-Medical City Dallas | Dallas | Texas | 75230 | United States |
| Texas Oncology-Dallas Presbyterian Hospital | Dallas | Texas | 75231 | United States |
| Texas Oncology-Baylor Charles A. Sammons Cancer Center | Dallas | Texas | 75246 | United States |
| Texas Oncology-Denton South | Denton | Texas | 76210 | United States |
| Texas Oncology-Fort Worth | Fort Worth | Texas | 76104 | United States |
| Texas Oncology-Memorial City | Houston | Texas | 77024 | United States |
| Texas Oncology-Lewisville | Lewisville | Texas | 75067 | United States |
| Texas Oncology-Mesquite | Mesquite | Texas | 75150 | United States |
| Texas Oncology-Midland Allison Cancer Center | Midland | Texas | 79701 | United States |
| Texas Oncology, P.A. - Plano | Plano | Texas | 92270 | United States |
| Cancer Care Centers of South Texas | San Antonio | Texas | 78217 | United States |
| Texas Oncology - Sherman | Sherman | Texas | 75090 | United States |
| Texas Oncology-Tyler | Tyler | Texas | 75702 | United States |
| University of Virginia | Charlottesville | Virginia | 22908 | United States |
| Virginia Oncology Associates | Norfolk | Virginia | 23502 | United States |
| Oncology and Hematology Associates of Southwest Virginia, Inc., DBA Blue Ridge Cancer Care | Salem | Virginia | 24153 | United States |
| Virginia Mason Medical Center | Seattle | Washington | 98101 | United States |
| Seattle Cancer Care Alliance | Seattle | Washington | 98109 | United States |
| Cancer Care Northwest | Spokane | Washington | 99202 | United States |
| Yakima Valley Memorial Hospital/North Star Lodge | Yakima | Washington | 98902 | United States |
| Cancer TEAM Bellin Health | Green Bay | Wisconsin | 54313 | United States |
| Institut Jules Bordet | Brussels | 2-2-541-72-26 | Belgium |
| GHdC - Site Notre Dame | Charleroi | 6000 | Belgium |
| Universtair Ziekenhuis Antwerpen | Edegem | 2650 | Belgium |
| UZ Gent Medische Oncologie | Ghent | 9000 | Belgium |
| UZ Leuven, Campus Gasthuisberg, trialbureau Algemene Medische Oncologie | Leuven | 3000 | Belgium |
| Centre Hospitalier Universitaire de Liège- Site du Sart Tilman | Liège | 4000 | Belgium |
| Centre Hospitalier Universitaire Ambroise Paré | Mons | 7000 | Belgium |
| GZA Ziekenhuizen, Campus St Augustinus, CLINICAL TRIALS ONCOLOGY | Wilrijk | 2610 | Belgium |
| British Columbia Cancer Agency | Vancouver | British Columbia | V5Z 4E6 | Canada |
| Odette Cancer Centre OCC Clinical Research | Toronto | Ontario | M4N 3M5 | Canada |
| Princess Margaret Hospital | Toronto | Ontario | M5G 2M9 | Canada |
| CHUM-Hopital Notre-Dame | Montreal | Quebec | H2L 4M1 | Canada |
| MUHC- Montreal General Hospital | Montreal | Quebec | H3G1A4 | Canada |
| Hôpital Charles-LeMoyne - CICM | Québec | J4V 2H1 | Canada |
| Institut Bergonie Service Oncologie Médicale | Bordeaux | 33076 | France |
| Sorecoh | Le Mans | 72000 | France |
| Centre Oscar Lambret | Lille | 59020 | France |
| Institut Paoli Calmettes, Service Pharmacie | Marseille | 13273 | France |
| Centra Regional de Lutte contre le Cancer | Montpellier | 34298 | France |
| Institut Curie, UGEC | Paris | 75005 | France |
| Hopital Tenon Service oncologie médicale | Paris | 75020 | France |
| Centre Régional de Lutte Contre le Cancer Nantes Atlantique René Gauducheau | Saint-Herblain | 44805 | France |
| Institut de Cancérologie Gustave Roussy | Villejuif | 94805 | France |
| Klinikum St. Marien Amberg | Amberg | Germany |
| Onkoplus | Berlin | 14195 | Germany |
| Oncoresearch | Dortmund | Germany |
| Universitaetsklinikum Erlangen | Erlangen | 91054 | Germany |
| Wilhelm-Anton-Hospital gGmbH | Goch | 47574 | Germany |
| Universitaetsklinikum Heidelberg | Heidelberg | 69120 | Germany |
| Universitaetsklinikum Ulm, Frauenklinik | Ulm | 89075 | Germany |
| Istituto tumori Giovanni Paolo II-ospedale oncologico, Oncologia Medica e Sperimentale | Bari | 700124 | Italy |
| Via Olgettina | Milan | 20132 | Italy |
| Azienda Ospedaliero Universitaria Pisana, U.O. Oncologia Medica | Pisa | 56126 | Italy |
| Oncologia Ospedale Infermi- Viale | Rimini | 47923 | Italy |
| Istituto Nazionale tumori Regina Elena IRCCS | Roma | 144 | Italy |
| VUmc | Amsterdam | 1081 | Netherlands |
| MUMC | Maastricht | 6229 | Netherlands |
| Tweesteden Ziekenhuis | Tilburg | Netherlands |
| Leningrad Regional Oncology Dispensary | Kuz'molovskiy | 188663 | Russia |
| State Institution "Russian Oncology Research Centre named after N.N. Blokhin RAMS" | Moscow | 115478 | Russia |
| Non-state Health Institution "Dorozhnaya Clinical Hospital of OAO "Russian Railways" | Saint Petersburg | 195271 | Russia |
| St. Petersburg State Budget Healthcare Institution "City Clinical Oncology Dispensary" | Saint Petersburg | 197022 | Russia |
| Scientific Research Oncology Institute named after N.N. Petrov | Saint Petersburg | 197758 | Russia |
| Chungbuk National University Hospital | Cheongju-si | North Chungcheong | 361-711 | South Korea |
| Samsung Medical Center | Irwon-dong | Seoul | 135-710 | South Korea |
| Hematology-oncology Department, Ajou University Hospital | Sŏwŏn | Suwon | 443-721 | South Korea |
| Seoul National University Bundang Hospital | Gyeonggi-do | 463-707 | South Korea |
| Hematology-oncology Department, Ewha Womans University Mokdong Hospital | Seoul | 120-750 | South Korea |
| Severance Hospital, Yonsei University Health System | Seoul | 120-752 | South Korea |
| Asan Medical Center | Seoul | 138-736 | South Korea |
| Seoul National University Hospital, | Soeul | 110-744 | South Korea |
| Hospital Vall d'Hebron | Barcelona | 08035 | Spain |
| ICO l´Hospitalet - Hospital Duran i Reynals | Barcelona | 08908 | Spain |
| Hospital Universitari Arnau de Vilanova | Lleida | 25198 | Spain |
| Hospital General Universitario Gregorio Marañon | Madrid | 28007 | Spain |
| MD Anderson Cancer Center Arturo | Madrid | 28033 | Spain |
| Hospital Universitario Ramón y Cajal | Madrid | 28034 | Spain |
| Hospital Sant Joan de Reus | Tarragona | 43204 | Spain |
| Clinical Trials Unit, Velindre Cancer Centre | Cardiff | CF14 2TL | United Kingdom |
| Beaston Oncology Center | Glasgow | G12 ONY | United Kingdom |
| St James University Hospital | Leeds | LS97TF | United Kingdom |
| NCRN | London | EC1A 7BE | United Kingdom |
| The Christie Hospitals NHS Foundation Trust | Manchester | M20 4BX | United Kingdom |
| Nottingham City Hospital | Nottingham | NG5 1PB | United Kingdom |
| Cancer Clinical Trials Centre, Weston Park Hospital | Sheffield | S10 2SJ | United Kingdom |
| 28360015 | Derived | Twelves C, Cortes J, O'Shaughnessy J, Awada A, Perez EA, Im SA, Gomez-Pardo P, Schwartzberg LS, Dieras V, Yardley DA, Potter DA, Mailliez A, Moreno-Aspitia A, Ahn JS, Zhao C, Hoch U, Tagliaferri M, Hannah AL, Rugo HS. Health-related quality of life in patients with locally recurrent or metastatic breast cancer treated with etirinotecan pegol versus treatment of physician's choice: Results from the randomised phase III BEACON trial. Eur J Cancer. 2017 May;76:205-215. doi: 10.1016/j.ejca.2017.02.011. Epub 2017 Mar 27. |
| 26482278 | Derived | Perez EA, Awada A, O'Shaughnessy J, Rugo HS, Twelves C, Im SA, Gomez-Pardo P, Schwartzberg LS, Dieras V, Yardley DA, Potter DA, Mailliez A, Moreno-Aspitia A, Ahn JS, Zhao C, Hoch U, Tagliaferri M, Hannah AL, Cortes J. Etirinotecan pegol (NKTR-102) versus treatment of physician's choice in women with advanced breast cancer previously treated with an anthracycline, a taxane, and capecitabine (BEACON): a randomised, open-label, multicentre, phase 3 trial. Lancet Oncol. 2015 Nov;16(15):1556-1568. doi: 10.1016/S1470-2045(15)00332-0. Epub 2015 Oct 22. |
Treatment of Physician's Choice (TPC): One of the following Treatment of Physician Choice will be administered per standard of care:
eribulin ixabepilone vinorelbine gemcitabine paclitaxel docetaxel or nab-paclitaxel
| COMPLETED |
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| NOT COMPLETED |
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| ID | Title | Description |
|---|---|---|
| BG000 | NKTR-102 | NKTR-102: 145 mg/m2 NKTR-102 will be delivered q21day as a 90 minute intravenous (IV) infusion on day 1 of each treatment cycle. |
| BG001 | Physician's Treatment of Choice | Treatment of Physician's Choice (TPC): One of the following Treatment of Physician Choice will be administered per standard of care: eribulin ixabepilone vinorelbine gemcitabine paclitaxel docetaxel or nab-paclitaxel |
| 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, Categorical | Count of Participants | Participants |
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| Age, Continuous | Mean | Standard Deviation | years |
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| Sex: Female, Male | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Primary | Kaplan-Meier Estimate of Overall Survival: Intention to Treat (ITT) Population | Duration of OS was defined as the time from the date of randomisation to the date of death due to any cause. Subjects were followed until their date of death, loss to follow-up, withdrawal of consent for further follow-up for survival, or final database closure. OS was determined using the ITT population which included all subjects randomized into 1 of the 2 treatment arms. Subjects who were lost-to-follow-up or were not known to have died were censored at last date they were shown to be alive. Subjects who did not have any follow-up since the date of randomization were censored at the date of randomization. | Posted | Median | 95% Confidence Interval | Months | 36 Months |
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| Secondary | Kaplan-Meier Estimate of Progression-Free Survival (PFS): ITT Population | PFS was defined as the time from the date of randomization to the earliest date of disease progression (assessed by the investigator according to RECIST version 1.1) or death due to any cause. PFS was determined using the ITT population which included all subjects randomized into 1 of the 2 treatment arms. For subjects whose disease did not progress or who did not die, the PFS time was censored at the time of the last tumor assessment that demonstrated lack of disease progression. For subjects who received new anti-cancer therapy, the PFS time was censored at the start of the new anti-cancer therapy. | Posted | Median | 95% Confidence Interval | Months | Up to 38 months. |
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| Secondary | Clinical Benefit Rate (CBR): ITT Population | CBR was defined as the proportion of subjects with a CR, PR, or stable disease (SD) for at least 6 months (≥ 182 days). | Posted | Number | 95% Confidence Interval | percentage of subjects | Up to 38 months. |
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| Secondary | Duration of Response (DOR): Efficacy Evaluable Population | DOR was defined as the time from first documented CR or PR until the earliest evidence of disease progression or death from any cause. Subjects who were alive without documented disease progression per RECIST version 1.1 were censored at the date of last tumor assessment without disease progression or start of new anti-cancer therapy for the study disease. | The population analyzed for this outcome measure solely comprised of patients who achieved CR or PR per RECIST. | Posted | Median | 95% Confidence Interval | Months | Up to 38 months. |
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| Secondary | Incidence of Dose Reductions: Safety Population | Proportion of subjects who had a reduction in dose. | Posted | Number | percentage of subjects | Up to 38 months. |
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| Secondary | Quality of Life Questionnaire-Core 30 (QLQ-C30) Individual Scale, Overall Score: ITT Population | The QLQ-C30 is composed of 5 multi-item functional scales (physical, role, social, emotional and cognitive functioning), a global health status/QoL scale, 3 symptom scales (fatigue, nausea/vomiting, and pain), and 6 single items (financial impact, appetite loss, diarrhoea, constipation, insomnia and dyspnoea). Most items are scaled 1 to 4 (1 = not at all, 2 = a little, 3 = quite a bit, 4 = very much) except the items contributing to the global health status/QoL, which are 7-point questions (1 = very poor to 7 = excellent). Raw scores were transformed using a linear transformation to standardize the results so that scores range from 0 to 100. n=number of subjects who completed each individual scale. Note that for scores measuring function, a higher score represented a higher "better" level of functioning, while for scores measuring symptoms, a higher score represented a lower "worse" level of symptoms. | 429 (ITT Population) 423 (ITT Population) | Posted | Mean | Standard Deviation | units on a scale | Up to 39 months |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary | QLQ-C30 Individual Scale, Change Over Time: ITT Population | The QLQ-C30 is composed of 5 multi-item functional scales (physical, role, social, emotional and cognitive functioning), a global health status/QoL scale, 3 symptom scales (fatigue, nausea/vomiting, and pain), and 6 single items (financial impact, appetite loss, diarrhea, constipation, insomnia and dyspnea). Most items are scaled 1 to 4 (1 = not at all, 2 = a little, 3 = quite a bit, 4 = very much) except the items contributing to the global health status/QoL, which are 7-point questions (from 1 = very poor to 7 = excellent). Raw scores were transformed using a linear transformation to standardize the results so that scores range from 0 to 100. n=number of subjects who completed each individual scale. Note that for scores measuring function, a higher score represented a higher "better" level of functioning, while for scores measuring symptoms, a higher score represented a lower "worse" level of symptoms. | 429 (ITT Population) 423 (ITT Population) | Posted | Mean | Standard Deviation | units on a scale | From Baseline to Week 8, Week 16, Week 24, Week 32, Week 40, Week 48, Week 56. |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary | Quality of Life Questionnaire-breast Cancer-specific Module (BR23) Score Value: ITT Population | The QLQ-BR23 incorporates 5 multi-item scales to assess systemic therapy side effects, arm symptoms, breast symptoms, body image and sexual functioning, and 3 single items to assess sexual enjoyment, upset by hair loss and future perspective. Most items were scaled one to four except the items contributing to the global health status/QoL, which were seven-point questions. Raw scores were transformed using a linear transformation to standardize the results so that scores ranged from 0-100. Note that for scores measuring function, a higher score represented a higher "better" level of functioning, while for scores measuring symptoms, a higher score represented a lower "worse" level of symptoms. | 429 (ITT Population) 423 (ITT Population) | Posted | Mean | Standard Deviation | units on a scale | Baseline |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary | BR23 Score Change Over Time: ITT Population | The QLQ-BR23 incorporates 5 multi-item scales to assess systemic therapy side effects, arm symptoms, breast symptoms, body image and sexual functioning, and 3 single items assess sexual enjoyment, upset by hair loss and future perspective. Most items were scaled one to four except the items contributing to the global health status/QoL, which were seven-point questions. Raw scores were transformed using a linear transformation to standardize the results so that scores ranged from 0-100. Note that for scores measuring function, a higher score represented a higher "better" level of functioning, while for scores measuring symptoms, a higher score represented a lower "worse" level of symptoms. | 429 (ITT Population) 423 (ITT Population) | Posted | Mean | Standard Deviation | units on a scale | Up to 38 months. |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary | Population Mean ± Standard Deviation (SD) Area Under the Concentration-Time Curve (AUC) for NKTR-102 and Metabolites After Multiple Administration of 145 mg/m^2 NKTR-102 [25] | Plasma concentrations of NKTR-102 and its major metabolites irinotecan, SN38, SN38G, and APC were measured using validated analytical methods. The population pharmacokinetic (PK) model-derived mean AUC values were computed by integration from t = 0 (start of first dose) to 21 days after the last dose. Integration was implemented using a separate compartment defined as the amount of drug or metabolite in the central compartment divided by the model-estimated volume of distribution. | Posted | Mean | Standard Deviation | μg·h/mL | Up to 38 months. |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary | Population Mean ± SD Maximum Plasma Concentration (Cmax) for NKTR-102 and Metabolites After Multiple Administration of 145 mg/m^2 NKTR-102 [26] | Plasma concentrations of NKTR-102 and its major metabolites irinotecan, SN38, SN38G, and APC were measured using validated analytical methods. The population PK model-derived mean Cmax values were computed by integration from t = 0 (start of first dose) to 21 days after the last dose. Integration was implemented using a separate compartment defined as the amount of drug or metabolite in the central compartment divided by the model-estimated volume of distribution. | Posted | Mean | Standard Deviation | ng/mL | Up to 38 months. |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary | Population Mean ± SD Elimination Half-life (t½) for NKTR-102 After Multiple Administration of 145 mg/m^2 NKTR-102 [27] | Plasma concentrations of NKTR-102 and its major metabolites irinotecan, SN38, SN38G, and APC were measured using validated analytical methods. The population PK model-derived mean t½ values were computed by integration from t = 0 (start of first dose) to 21 days after the last dose. Integration was implemented using a separate compartment defined as the amount of drug or metabolite in the central compartment divided by the model-estimated volume of distribution. The t½ of all analytes was primarily driven by NKTR-102. Thus, the NKTR-102 t½ of 37 days also applies to all NKTR-102 metabolites. | Posted | Mean | Standard Deviation | days | Up to 38 months. |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary | Objective Response Rate (ORR): Efficacy Evaluable Population | ORR was defined as the proportion of subjects with a complete response (CR) or a partial response (PR), assessed by the investigator based on Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 The analyses were performed for subjects in the efficacy evaluable population who had measurable disease as determined by the investigator at baseline. | Posted | Number | 95% Confidence Interval | percentage of subjects | Up to 38 months. |
|
|
Up to 38 months.
Safety Population NKTR-102 = 425; TPC = 406
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 | NKTR-102 | NKTR-102: 145 mg/m2 NKTR-102 will be delivered q21day as a 90 minute intravenous (IV) infusion on day 1 of each treatment cycle. | 323 | 425 | 128 | 425 | 417 | 425 |
| EG001 | Physician's Treatment of Choice | Treatment of Physician's Choice (TPC): One of the following Treatment of Physician Choice will be administered per standard of care: eribulin ixabepilone vinorelbine gemcitabine paclitaxel docetaxel or nab-paclitaxel | 322 | 406 | 129 | 406 | 404 | 406 |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Aortic stenosis | Vascular disorders | Non-systematic Assessment |
| ||
| Embolism | Vascular disorders | Non-systematic Assessment |
| ||
| Hypotension | Vascular disorders | Non-systematic Assessment |
| ||
| Lymphoedema | Vascular disorders | Non-systematic Assessment |
| ||
| Metastases to central nervous system | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Metastases to meninges | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Metastatic pain | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Malignant pleural effusion | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Breast cancer | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Cancer pain | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Metastases to bone | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Metastases to liver | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Metastases to spine | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Myelodysplastic syndrome | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Ovarian cancer | Neoplasms benign, malignant and unspecified (incl cysts and polyps) | Non-systematic Assessment |
| ||
| Pyrexia | General disorders | Non-systematic Assessment |
| ||
| General physical health deterioration | General disorders | Non-systematic Assessment |
| ||
| Asthenia | General disorders | Non-systematic Assessment |
| ||
| Chest pain | General disorders | Non-systematic Assessment |
| ||
| Fatigue | General disorders | Non-systematic Assessment |
| ||
| Multi-organ failure | General disorders | Non-systematic Assessment |
| ||
| Non-cardiac chest pain | General disorders | Non-systematic Assessment |
| ||
| Oedema peripheral | General disorders | Non-systematic Assessment |
| ||
| Pain | General disorders | Non-systematic Assessment |
| ||
| Generalised oedema | General disorders | Non-systematic Assessment |
| ||
| Malaise | General disorders | Non-systematic Assessment |
| ||
| Bipolar disorder | Psychiatric disorders | Non-systematic Assessment |
| ||
| Confusional state | Psychiatric disorders | Non-systematic Assessment |
| ||
| Pelvic pain | Reproductive system and breast disorders | Non-systematic Assessment |
| ||
| Femoral neck fracture | Injury, poisoning and procedural complications | Non-systematic Assessment |
| ||
| Infusion related reaction | Injury, poisoning and procedural complications | Non-systematic Assessment |
| ||
| Rib fracture | Injury, poisoning and procedural complications | Non-systematic Assessment |
| ||
| Stress fracture | Injury, poisoning and procedural complications | Non-systematic Assessment |
| ||
| Subdural haemorrhage | Injury, poisoning and procedural complications | Non-systematic Assessment |
| ||
| Wound dehiscence | Injury, poisoning and procedural complications | Non-systematic Assessment |
| ||
| Neutrophil count decreased | Investigations | Non-systematic Assessment |
| ||
| Blood bilirubin increased | Investigations | Non-systematic Assessment |
| ||
| Clostridium test positive | Investigations | Non-systematic Assessment |
| ||
| Pericardial effusion | Cardiac disorders | Non-systematic Assessment |
| ||
| Acute coronary syndrome | Cardiac disorders | Non-systematic Assessment |
| ||
| Atrial fibrillation | Cardiac disorders | Non-systematic Assessment |
| ||
| Cardiac failure | Cardiac disorders | Non-systematic Assessment |
| ||
| Cardiac failure congestive | Cardiac disorders | Non-systematic Assessment |
| ||
| Cardiac tamponade | Cardiac disorders | Non-systematic Assessment |
| ||
| Mitral valve incompetence | Cardiac disorders | Non-systematic Assessment |
| ||
| Sinus arrest | Cardiac disorders | Non-systematic Assessment |
| ||
| Sinus bradycardia | Cardiac disorders | Non-systematic Assessment |
| ||
| Sinus tachycardia | Cardiac disorders | Non-systematic Assessment |
| ||
| Supraventricular tachycardia | Cardiac disorders | Non-systematic Assessment |
| ||
| Tachycardia | Cardiac disorders | Non-systematic Assessment |
| ||
| Ventricular fibrillation | Cardiac disorders | Non-systematic Assessment |
| ||
| Pleural effusion | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Dyspnoea | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Respiratory failure | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Pulmonary embolism | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Hypoxia | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Pneumothorax | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Acute respiratory failure | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Chronic obstructive pulmonary disease | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Lung infiltration | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Pleurisy | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Pulmonary hypertension | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Respiratory distress | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Febrile neutropenia | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Anaemia | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Pancytopenia | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Coagulopathy | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Idiopathic thrombocytopenic purpura | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Microangiopathic haemolytic anaemia | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Neutropenia | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Syncope | Nervous system disorders | Non-systematic Assessment |
| ||
| Brain oedema | Nervous system disorders | Non-systematic Assessment |
| ||
| Headache | Nervous system disorders | Non-systematic Assessment |
| ||
| Hepatic encephalopathy | Nervous system disorders | Non-systematic Assessment |
| ||
| Cerebrovascular accident | Nervous system disorders | Non-systematic Assessment |
| ||
| Cholinergic syndrome | Nervous system disorders | Non-systematic Assessment |
| ||
| Convulsion | Nervous system disorders | Non-systematic Assessment |
| ||
| Dizziness | Nervous system disorders | Non-systematic Assessment |
| ||
| Dysgraphia | Nervous system disorders | Non-systematic Assessment |
| ||
| Gliosis | Nervous system disorders | Non-systematic Assessment |
| ||
| Hydrocephalus | Nervous system disorders | Non-systematic Assessment |
| ||
| Neuralgia | Nervous system disorders | Non-systematic Assessment |
| ||
| Paraesthesia | Nervous system disorders | Non-systematic Assessment |
| ||
| Peripheral motor neuropathy | Nervous system disorders | Non-systematic Assessment |
| ||
| Spinal chord compression | Nervous system disorders | Non-systematic Assessment |
| ||
| Retinal detachment | Eye disorders | Non-systematic Assessment |
| ||
| Retinal vein occlusion | Eye disorders | Non-systematic Assessment |
| ||
| Vertigo | Ear and labyrinth disorders | Non-systematic Assessment |
| ||
| Diarrhoea | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Vomiting | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Ascites | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Nausea | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Abdominal pain | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Abdominal pain upper | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Colitis | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Constipation | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Enterocolitis | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Gastritis | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Abdominal discomfort | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Abdominal distension | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Colonic obstruction | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Dyspepsia | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Enteritis | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Gastrointestinal haemorrhage | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Gastrointestinal hypomotility | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Hiatus hernia | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Ileitis | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Ileus | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Intestinal obstruction | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Oesophagitis | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Hepatic failure | Hepatobiliary disorders | Non-systematic Assessment |
| ||
| Bile duct obstruction | Hepatobiliary disorders | Non-systematic Assessment |
| ||
| Bile duct stenosis | Hepatobiliary disorders | Non-systematic Assessment |
| ||
| Cholangitis | Hepatobiliary disorders | Non-systematic Assessment |
| ||
| Hepatomegaly | Hepatobiliary disorders | Non-systematic Assessment |
| ||
| Portal vein thrombosis | Hepatobiliary disorders | Non-systematic Assessment |
| ||
| Renal failure acute | Renal and urinary disorders | Non-systematic Assessment |
| ||
| Renal failure | Renal and urinary disorders | Non-systematic Assessment |
| ||
| Urinary incontinence | Renal and urinary disorders | Non-systematic Assessment |
| ||
| Subcutaneous emphysema | Skin and subcutaneous tissue disorders | Non-systematic Assessment |
| ||
| Bone pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Back pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Pain in extremity | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Pathological fracture | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Flank pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Groin pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Muscular weakness | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Musculoskeletal chest pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Spinal osteoarthritis | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Osteoporotic fracture | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Hypercalcaemia of malignancy | Endocrine disorders | Non-systematic Assessment |
| ||
| Hypothyroidism | Endocrine disorders | Non-systematic Assessment |
| ||
| Dehydration | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Hypercalcaemia | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Hypokalaemia | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Hyperkalaemia | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Decreased appetite | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Fluid overload | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Hyponatraemia | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Hypophosphataemia | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Type 2 diabetes mellitus | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Pneumonia | Infections and infestations | Non-systematic Assessment |
| ||
| Urinary tract infection | Infections and infestations | Non-systematic Assessment |
| ||
| Bronchitis | Infections and infestations | Non-systematic Assessment |
| ||
| Cellulitis | Infections and infestations | Non-systematic Assessment |
| ||
| Device related infection | Infections and infestations | Non-systematic Assessment |
| ||
| Lower respiratory tract infection | Infections and infestations | Non-systematic Assessment |
| ||
| Lung infection | Infections and infestations | Non-systematic Assessment |
| ||
| Sepsis | Infections and infestations | Non-systematic Assessment |
| ||
| Escherichia sepsis | Infections and infestations | Non-systematic Assessment |
| ||
| Gastroenteritis | Infections and infestations | Non-systematic Assessment |
| ||
| Septic shock | Infections and infestations | Non-systematic Assessment |
| ||
| Urosepsis | Infections and infestations | Non-systematic Assessment |
| ||
| Wound infection | Infections and infestations | Non-systematic Assessment |
| ||
| Abscess intestinal | Infections and infestations | Non-systematic Assessment |
| ||
| Acute haemorrhagic conjunctivitis | Infections and infestations | Non-systematic Assessment |
| ||
| Bacteraemia | Infections and infestations | Non-systematic Assessment |
| ||
| Breast infection | Infections and infestations | Non-systematic Assessment |
| ||
| Herpes simplex | Infections and infestations | Non-systematic Assessment |
| ||
| Herpes zoster | Infections and infestations | Non-systematic Assessment |
| ||
| Influenza | Infections and infestations | Non-systematic Assessment |
| ||
| Klebsiella infection | Infections and infestations | Non-systematic Assessment |
| ||
| Moraxella infection | Infections and infestations | Non-systematic Assessment |
| ||
| Neutropenic sepsis | Infections and infestations | Non-systematic Assessment |
| ||
| Oral herpes | Infections and infestations | Non-systematic Assessment |
| ||
| Parainfluenzae virus infection | Infections and infestations | Non-systematic Assessment |
| ||
| Pharyngitis | Infections and infestations | Non-systematic Assessment |
| ||
| Pyelonephritis | Infections and infestations | Non-systematic Assessment |
| ||
| Streptococcal sepsis | Infections and infestations | Non-systematic Assessment |
| ||
| Wound infection staphylococcal | Infections and infestations | Non-systematic Assessment |
|
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Weight decreased | Investigations | Non-systematic Assessment |
| ||
| Neutrophil count decreased | Investigations | Non-systematic Assessment |
| ||
| Aspartate aminotransferase increased | Investigations | Non-systematic Assessment |
| ||
| Dyspnoea | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Cough | Respiratory, thoracic and mediastinal disorders | Non-systematic Assessment |
| ||
| Neutropenia | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Anaemia | Blood and lymphatic system disorders | Non-systematic Assessment |
| ||
| Dizziness | Nervous system disorders | Non-systematic Assessment |
| ||
| Dysgeusia | Nervous system disorders | Non-systematic Assessment |
| ||
| Neuropathy peripheral | Nervous system disorders | Non-systematic Assessment |
| ||
| Vision blurred | Eye disorders | Non-systematic Assessment |
| ||
| Fatigue | General disorders | Non-systematic Assessment |
| ||
| Asthenia | General disorders | Non-systematic Assessment |
| ||
| Pyrexia | General disorders | Non-systematic Assessment |
| ||
| Oedema peripheral | General disorders | Non-systematic Assessment |
| ||
| Insomnia | Psychiatric disorders | Non-systematic Assessment |
| ||
| Anxiety | Psychiatric disorders | Non-systematic Assessment |
| ||
| Nausea | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Diarrhoea | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Vomiting | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Constipation | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Abdominal pain | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Abdominal pain upper | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Dyspepsia | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Stomatitis | Gastrointestinal disorders | Non-systematic Assessment |
| ||
| Alopecia | Skin and subcutaneous tissue disorders | Non-systematic Assessment |
| ||
| Rash | Skin and subcutaneous tissue disorders | Non-systematic Assessment |
| ||
| Myalgia | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Back pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Arthralgia | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Pain in extremity | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Bone pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Musculoskeletal pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Muscle spasms | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Musculoskeletal chest pain | Musculoskeletal and connective tissue disorders | Non-systematic Assessment |
| ||
| Decreased appetite | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Hypokalaemia | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Dehydration | Metabolism and nutrition disorders | Non-systematic Assessment |
| ||
| Urinary tract infection | Infections and infestations | Non-systematic Assessment |
| ||
| Upper respiratory tract infection | Infections and infestations | Non-systematic Assessment |
|
There are restrictions to the PI's rights to discuss or publish trial results.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Alison Hannah, MD | Nektar | AHannah@nektar.com |
| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
Not provided
Not provided
| ID | Term |
|---|---|
| C581703 | etirinotecan pegol |
Not provided
Not provided
Not provided
| >=65 years |
|
| Male |
|
| South Korea |
|
| Netherlands |
|
| Belgium |
|
| United States |
|
| Italy |
|
| United Kingdom |
|
| France |
|
| Germany |
|
| Spain |
|
| Russia |
|
| Participants |
|
|
|
|
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| Units | Counts |
|---|---|
| Participants |
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| Units | Counts |
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| Participants |
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