Colorectal Cancer Clinical Trial
— PDOOfficial title:
Prospective Clinical Validation of Next Generation Sequencing (NGS) and Patient-Derived Tumor Organoids (PDO) Guided Therapy in Patients With Advanced/ Inoperable Solid Tumors
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..
Status | Not yet recruiting |
Enrollment | 40 |
Est. completion date | February 1, 2028 |
Est. primary completion date | February 1, 2027 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 100 Years |
Eligibility | Inclusion Criteria: - patients with metastatic, inoperable or advanced solid tumors who are refractory to at least one standard chemo- or targeted drugs. - The disease is accessible for a biopsy (radiologic or endoscopic) or resection of a metastatic site. - These patients are seen at a multidisciplinary tumor board meeting prior to referrals. - aged >18 years, able to provide written consents to trial participation, - with an Eastern cooperative oncology group performance status of 0 or 1, - with measurable disease in accordance with response evaluation criteria in solid tumors (RECIST) version 1.1. - deem suitable for standard chemo-therapy; i.e. with a normal neutrophil count, hemoglobin > 9g/dl, serum creatinine, <1.5 x upper limit of normal, bilirubin < 1.5 x normal, Aspartate and alanine aminotransferases (<3 x ULN or <5x - those with liver metastasis) and with an ejection Fraction >50% of normal on echocardiography. Exclusion Criteria: - unable to provide informed consent |
Country | Name | City | State |
---|---|---|---|
Hong Kong | Endoscopy Centre, Prince of Wales Hospital | Hong Kong | N.t. |
Lead Sponsor | Collaborator |
---|---|
Chinese University of Hong Kong |
Hong Kong,
. De Souza, N. Organoids. Nat. Methods 15, 23 (2018).
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. Erratum In: Nat Protoc. 2021 Dec;16(12):5739. — View Citation
Li M, Izpisua Belmonte JC. Organoids - Preclinical Models of Human Disease. N Engl J Med. 2019 Feb 7;380(6):569-579. doi: 10.1056/NEJMra1806175. No abstract available. — View Citation
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;78:400-4 — View Citation
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, Cleve — View Citation
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. Gastroenterolo — View Citation
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. — View Citation
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, Car — View Citation
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 L — View Citation
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, — View Citation
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. — View Citation
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 Chemoradia — View Citation
* Note: There are 12 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | tumor response | tumor response, partial or complete (>30% reduction in tumor size) | 6 months | |
Secondary | rate of partial or complete response | rate of partial or complete response | 6 months | |
Secondary | rate of progression free survival survival | rate of progression free survival | 6 months | |
Secondary | rate of overall survival | rate of overall survival | 6 months | |
Secondary | success rate in PDO culture and drug screen | success rate in PDO culture and drug screen | 6 months | |
Secondary | rate of grade III/IV toxicities. | rate of grade III/IV toxicities. | 6 months |
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