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Precision oncology aims to improve clinical outcome of patients by offering personalized treatment through identifying druggable genomic aberrations within their tumors. This is particularly valid when it comes to offering alternative treatment options for patients with advanced tumors that are chemo-refractory. Patient-derived organoids (PDOs) are 3 dimensional tumoroids that can be expanded ex vivo and are both pheno- and genotypically identical to patients' tumors. Observational studies have shown that PDO-based drug screens can predict treatment response with high sensitivity and specificity. Vlachogiannis G. reported a living biobank of patient-derived organoids (PDOs) from patients with advanced GI cancers enrolled in clinical trials. PDOs can recapitulate patients' clinical response to chemotherapeutic agents. In 19 tumor organoids, the group performed molecular profiling and drug screens and then compared ex vivo organoid responses to anticancer drugs. Drug response to PDO based orthotopic mouse tumor xenografts correlated to the drug response of the patient in clinical trials. Further to the study, there were other retrospective validation studies utilizing PDOs from patients enrolled in clinical trials such as the TUMOROID, CinClare to predict clinical response. Ooft studied PDOs from patients with metastatic colorectal cancers enrolled in the TUMOROID study to predict response to irinotecan-based therapies. Yao generated a organoid biobank of 80 locally advanced rectal cancers. These patients were derived from a phase III study (CinClare) that compared neoadjuvant chemo-radiation using either capecitabine or CAPIRI. Response to chemoradiation in patients matched to that of rectal cancer organoids (sensitivity 78% and specificity 91.9%). In a systematic analysis of 17 studies (9 on advanced GI and pancreatic cancers, one on renal cell cancer and others on miscellaneous cancers), the pooled sensitivity and specificity for discriminating patients with a clinical response through PDO-based drug screen was 0.81 (95%CI 0.69-0.89) and 0.74 (95%CI 0.64-0.82) respectively. Within 4-6 weeks, PDO-based drug screen creates a true personalised platform by predicting patient-specific drug response with high accuracy. Recent technical advancements in growing these PDO 'avatars' from biopsies have made it possible to test suitable anticancer drugs in patients with advanced inoperable tumors, and explore the new possibilities for treatment options that otherwise would be missed by standard conventional therapies. In 2019, our group embarked on PDO research; investigators obtained tissues from patients with advanced/ inoperable solid tumors, and performing drug screens on these PDOs ex vivo. In several patients, investigators were able to identified drugs not otherwise used through sequencing data, and observed remarkable clinical response in patients with PDO responsive tumors. Investigators illustrate with cases that underwent PDO culture and drug screens. [ See appendix ] In the literature, the clinical utility of treatment based on PDO informed drug options has however not been fully established. Investigators therefore propose a phase 2 proof-of-concept clinical trial to evaluate efficacy of NGS/ PDO guided treatment in patients with inoperable or metastatic solid tumors..
Under informed consents, patients undergo tissue sampling (radiologic, endoscopic or surgical excision). DNA is extracted from tissue and sent for whole-exome sequencing (WES), organoid culture and drug testing. DNA mutations in PDO models will be determined using whole-exome sequencing (WES). Mutational burden and driver genes profile will be assessed for similarities to those identified in primary cancers. The genetic data generated will be interpreted for response to FDA-approved molecular targeting drugs. Investigators would study PDO cultures resistant to available chemotherapeutic options. They would be of exceptional value to study sensitivity to targeted agents, providing alternative treatment options for chemo-refractory diseases. Based on past experience, project team has developed a Standard Operational Protocol (SOP) in the area and establish pipeline in integrative analysis with genome data. PDO Culture and Genome-guided Drug Screen.To ensure clinical usefulness of our platform, investigators aim to deliver drug options of each PDO within a meaningful timeframe. In this framework of typically 4-6 weeks, investigators shall generate organoids, study their molecular profile and undertake ex vivo drug screening that would allow us to individualize therapy for each patient. Eligible patients are seen in an MDT board where patients' case history, laboratory and radiologic results are reviewed. With informed consent to trial participation, the patient undergoes tissue sampling to his tumor (by radiologic, endoscopic, or surgical methods). Sampled tumors are then subjected to DNA extraction for whole exome sequencing, organoid culture, and drug screen. This takes between 2- 4 weeks. In the interim period, the patient is allowed to receive a chemotherapy agent, a target agent or hormone therapy between the time of the biopsy and the availability of drug screen results. An MDT will review the drug screen results and recommend the use of a drug with a response in a PDO. When several drugs are shown to be efficacious, the referring oncologist has the final discretion on the choice of chemo- or targeted agent.
Tumor assessments will be performed at baseline, every 8 weeks. Investigators report all adverse events and serious adverse events (SAE) based on the definitions in NCI CTCAE. Investigators report all SAEs to the Joint NTEC-CUHK CREC within 24 hours of their occurrence. Senior physicians at CREC adjudicated all SAEs.
Investigators aim to determine clinical efficacy of NGS/ PDO drug screen guided treatment in patients with inoperable/ advanced solid tumors refractory to conventional chemotherapy. Investigators correlate PDO drug response ex vivo to clinical response in these patients. Our hypothesis is that WES and PDO drug screen can accurately identify candidate drugs that will reduce tumor size and confer benefits in these patients.
Investigators assume a treatment response with standard treatment be around 10%. A PDO and NGS guided treatment will likely improve the response rate to about 30% or more. In the first stage, 10 patients will be accrued, If there is one or fewer response, in these 10 patients, the study will be stopped. Otherwise an additional 19 patients will be accrued for a total of 29. The null hypothesis will be rejected if 6 or more responses are observed in 29 patients. This design yields a type 1 error rate of 0.05 and a power of 80%. Investigators plan to enrol 40 or more patients over a period of 2 years, with the assumption that in about 20% of patients, PDO culture is unsuccessful.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patient-Derived Tumor Organoids (PDO) Guided Therapy | Experimental | Intervention in this study is to perform tissue sampling to patient's tumor which are then subjected to DNA extraction for whole exome sequencing, organoid culture, and drug screen. An MDT board will review the drug screen results and excluded drug choice of poor response. Then the referring oncologist has the final discretion on the choice of chemo- or targeted agent as usual. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Patient-Derived Tumor Organoids | Other | Intervention in this study is to perform tissue sampling to patient's tumor which are then subjected to DNA extraction for whole exome sequencing, organoid culture, and drug screen. An MDT board will review the drug screen results and excluded drug choice of poor response. Then the referring oncologist has the final discretion on the choice of chemo- or targeted agent as usual. |
| Measure | Description | Time Frame |
|---|---|---|
| tumor response | tumor response, partial or complete (>30% reduction in tumor size) | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| rate of partial or complete response | rate of partial or complete response | 6 months |
| rate of progression free survival survival | rate of progression free survival |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| James Lau, MD | Contact | 35051445 | laujyw@surgery.cuhk.edu.hk | |
| Bing Yee SUEN, BHSc | Contact | 35052640 | suenbingyee@cuhk.edu.hk |
| Name | Affiliation | Role |
|---|---|---|
| James Lau | Prince of Wales Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Endoscopy Centre, Prince of Wales Hospital | Recruiting | Hong Kong | N.T. | 123 | Hong Kong |
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in progress
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Intervention in this study is to perform tissue sampling to patient's tumor which are then subjected to DNA extraction for whole exome sequencing, organoid culture, and drug screen. This takes between 2- 4 weeks. In the interim period, the patient is allowed to receive a chemotherapy agent, a target agent or hormone therapy between the time of the biopsy and the availability of drug screen results. An MDT board will review the drug screen results and excluded drug choice of poor response. Then the referring oncologist has the final discretion on the choice of chemo- or targeted agent as usual.
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|
| 6 months |
| rate of overall survival | rate of overall survival | 6 months |
| success rate in PDO culture and drug screen | success rate in PDO culture and drug screen | 6 months |
| rate of grade III/IV toxicities. | rate of grade III/IV toxicities. | 6 months |
| Result |
| van der Velden DL, Hoes LR, van der Wijngaart H, van Berge Henegouwen JM, van Werkhoven E, Roepman P, Schilsky RL, de Leng WWJ, Huitema ADR, Nuijen B, Nederlof PM, van Herpen CML, de Groot DJA, Devriese LA, Hoeben A, de Jonge MJA, Chalabi M, Smit EF, de Langen AJ, Mehra N, Labots M, Kapiteijn E, Sleijfer S, Cuppen E, Verheul HMW, Gelderblom H, Voest EE. The Drug Rediscovery protocol facilitates the expanded use of existing anticancer drugs. Nature. 2019 Oct;574(7776):127-131. doi: 10.1038/s41586-019-1600-x. Epub 2019 Sep 30. |
| 21889923 | Result | Sato T, Stange DE, Ferrante M, Vries RG, Van Es JH, Van den Brink S, Van Houdt WJ, Pronk A, Van Gorp J, Siersema PD, Clevers H. Long-term expansion of epithelial organoids from human colon, adenoma, adenocarcinoma, and Barrett's epithelium. Gastroenterology. 2011 Nov;141(5):1762-72. doi: 10.1053/j.gastro.2011.07.050. Epub 2011 Sep 2. |
| 25957691 | Result | van de Wetering M, Francies HE, Francis JM, Bounova G, Iorio F, Pronk A, van Houdt W, van Gorp J, Taylor-Weiner A, Kester L, McLaren-Douglas A, Blokker J, Jaksani S, Bartfeld S, Volckman R, van Sluis P, Li VS, Seepo S, Sekhar Pedamallu C, Cibulskis K, Carter SL, McKenna A, Lawrence MS, Lichtenstein L, Stewart C, Koster J, Versteeg R, van Oudenaarden A, Saez-Rodriguez J, Vries RG, Getz G, Wessels L, Stratton MR, McDermott U, Meyerson M, Garnett MJ, Clevers H. Prospective derivation of a living organoid biobank of colorectal cancer patients. Cell. 2015 May 7;161(4):933-45. doi: 10.1016/j.cell.2015.03.053. |
| 29472484 | Result | Vlachogiannis G, Hedayat S, Vatsiou A, Jamin Y, Fernandez-Mateos J, Khan K, Lampis A, Eason K, Huntingford I, Burke R, Rata M, Koh DM, Tunariu N, Collins D, Hulkki-Wilson S, Ragulan C, Spiteri I, Moorcraft SY, Chau I, Rao S, Watkins D, Fotiadis N, Bali M, Darvish-Damavandi M, Lote H, Eltahir Z, Smyth EC, Begum R, Clarke PA, Hahne JC, Dowsett M, de Bono J, Workman P, Sadanandam A, Fassan M, Sansom OJ, Eccles S, Starling N, Braconi C, Sottoriva A, Robinson SP, Cunningham D, Valeri N. Patient-derived organoids model treatment response of metastatic gastrointestinal cancers. Science. 2018 Feb 23;359(6378):920-926. doi: 10.1126/science.aao2774. |
| 31597751 | Result | Ooft SN, Weeber F, Dijkstra KK, McLean CM, Kaing S, van Werkhoven E, Schipper L, Hoes L, Vis DJ, van de Haar J, Prevoo W, Snaebjornsson P, van der Velden D, Klein M, Chalabi M, Boot H, van Leerdam M, Bloemendal HJ, Beerepoot LV, Wessels L, Cuppen E, Clevers H, Voest EE. Patient-derived organoids can predict response to chemotherapy in metastatic colorectal cancer patients. Sci Transl Med. 2019 Oct 9;11(513):eaay2574. doi: 10.1126/scitranslmed.aay2574. |
| 31761724 | Result | Yao Y, Xu X, Yang L, Zhu J, Wan J, Shen L, Xia F, Fu G, Deng Y, Pan M, Guo Q, Gao X, Li Y, Rao X, Zhou Y, Liang L, Wang Y, Zhang J, Zhang H, Li G, Zhang L, Peng J, Cai S, Hu C, Gao J, Clevers H, Zhang Z, Hua G. Patient-Derived Organoids Predict Chemoradiation Responses of Locally Advanced Rectal Cancer. Cell Stem Cell. 2020 Jan 2;26(1):17-26.e6. doi: 10.1016/j.stem.2019.10.010. Epub 2019 Nov 21. |
| 33846504 | Result | Wensink GE, Elias SG, Mullenders J, Koopman M, Boj SF, Kranenburg OW, Roodhart JML. Patient-derived organoids as a predictive biomarker for treatment response in cancer patients. NPJ Precis Oncol. 2021 Apr 12;5(1):30. doi: 10.1038/s41698-021-00168-1. |
| 32340843 | Result | Loong HH, Wong AM, Chan DT, Cheung MS, Chow C, Ding X, Chan AK, Johnston PA, Lau JY, Poon WS, Wong N. Patient-derived tumor organoid predicts drugs response in glioblastoma: A step forward in personalized cancer therapy? J Clin Neurosci. 2020 Aug;78:400-402. doi: 10.1016/j.jocn.2020.04.107. Epub 2020 Apr 24. |
| 32929210 | Result | Driehuis E, Kretzschmar K, Clevers H. Establishment of patient-derived cancer organoids for drug-screening applications. Nat Protoc. 2020 Oct;15(10):3380-3409. doi: 10.1038/s41596-020-0379-4. Epub 2020 Sep 14. |
| 2702835 | Result | Simon R. Optimal two-stage designs for phase II clinical trials. Control Clin Trials. 1989 Mar;10(1):1-10. doi: 10.1016/0197-2456(89)90015-9. |
| ID | Term |
|---|---|
| D006528 | Carcinoma, Hepatocellular |
| D015179 | Colorectal Neoplasms |
| ID | Term |
|---|---|
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D008113 | Liver Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D004066 | Digestive System Diseases |
| D008107 | Liver Diseases |
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
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