Registry Study in MSI/dMMR Solid Tumors
Study Details
Study Description
Brief Summary
This study is a multi-center, non-interventional, prospective clinical observational study, aiming to evaluate the effectiveness and safety of subsequent treatment in dMMR/MSI solid tumor patients who have never received ICIs under real-world conditions. Particular attention is paid to the efficacy in populations where treatment plans are adjusted based on ctDNA, and potential predictive or prognostic biomarkers are explored.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
This study plans to enroll patients in the following four cohorts:
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Cohort A: Initially only receiving PD1/PDL1 monotherapy;
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Cohort B: Initially receiving simultaneous blockade of PD1/PDL1 and CTLA4;
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Cohort C: Initially receiving PD1/PDL1 monotherapy combined with chemotherapy or targeted therapy;
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Cohort D: Initially not using ICIs, receiving other standard treatments for this tumor type
To explore the role of ctDNA testing in therapeutic decision-making, patients with the first evaluation of SD in cohort A are divided into two groups: ctDNA testing/intervention group (Group A1) and ctDNA testing/non-intervention group (Group A2). In group A1, if there is no early response to ctDNA, the researchers and the patient will decide to add CTLA4 antibody or other potentially effective treatments after thorough communication. If there is an early response to ctDNA, then continue with PD1/PDL1 monoclonal antibody treatment. Patients in group A2 undergo ctDNA testing, but still continue with PD1/PDL1 monoclonal antibody treatment according to the RECIST v1.1 standard when the first evaluation of SD is made. Meanwhile, explore the role of 1-year ctDNA-MRD in guiding treatment in patients with long-term tumor control, and explore the guiding role of re-biopsy of tumor tissue or ctDNA testing in helping making treatment regimen after progression on ICIs.
Number of Subjects:
• This study will recruit patients nationwide for data collection over a period of 3 years. The plan is to enroll 100 cases in Cohort A, including 25 cases in Group A1 and 25 cases in Group A2; 30 cases in Cohort B; 30 cases in Cohort C; and 30 cases in Cohort D.
Inclusion Criteria:
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Signing an informed consent form and voluntarily joining this study;
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Age ≥18 years old; age should also be ≤75 years old in Cohorts B, C, D;
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Confirmed by histology or cytology as solid malignant tumor and confirmed by immunohistochemistry as dMMR or confirmed by PCR/NGS method as MSI;
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The researcher determines that the patient can receive anti-tumor treatment;
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With evaluable lesions.
Exclusion Criteria:
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Other malignant tumors within 5 years before enrollment, except for cured skin squamous cell carcinoma, basal cell carcinoma, non-muscle invasive bladder cancer, localized low-risk prostate cancer (defined as stage ≤T2a, Gleason score ≤6 points and PSA ≤10 ng/mL at the time of prostate cancer diagnosis (if measured) patients who have undergone radical treatment and have no prostate-specific antigen (PSA) biochemical recurrence can participate in this study), in situ cervical/breast cancer, Lynch syndrome;
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There is evidence that the patient is a pregnant or lactating woman;
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Have previously received immunological checkpoint inhibitors or T cell co-stimulatory drugs, including but not limited to PD1, CTLA4, LAG3 and other immune checkpoint blockers, therapeutic vaccines, etc.; patients exposed to ICIs in perioperative setting are allowed to be enrolled if disease relapse after more than 6 months since the last dose of ICI;
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The researcher judges other situations that are not suitable for inclusion in the study
Study endpoints:
Primary endpoint:
• The primary endpoint of Cohorts A, B, C, and D are: The progression-free survival (PFS) determined by the researcher according to the RECIST 1.1 standard.
Secondary endpoints:
- Efficacy endpoints:
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The secondary endpoints for study Cohorts A, B, C, and D include: the overall survival (OS), objective response rate (ORR), disease control rate (DCR), duration of response (DOR), time to response (TTR), and 6-month and 12-month progression-free survival rate of each treatment group; the OS, PFS, ORR, and DCR of each group's post-progression treatment plan; the proportion of each group using ctDNA-guided treatment.
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In Cohort A, the OS, PFS, ORR, DCR, DOR, TTR, 6-month and 12-month progression-free survival rate of Group A1 (ctDNA detection/intervention group) and Group A2 (ctDNA detection/non-intervention group).
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In patients with long-term disease control under ICIs treatment: the proportion of patients who are MRD-negative after one year, patients who are MRD-negative and stopped medication after one year, patients who are MRD-positive after one year, and patients who are MRD-positive and stopped medication after one year, as well as their OS, PFS, ORR, DCR, 6-month and 12-month progression-free survival rate.
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In patients resistant to ICIs treatment: the proportion of patients who retested tissue or blood genes at progression, as well as the proportion of patients who adjusted treatment plans based on gene testing and their OS, PFS, ORR, DCR, 6-month and 12-month progression-free survival rate.
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The proportion of patients using ctDNA-guided treatment and not using ctDNA-guided treatment, as well as their OS, PFS, ORR, DCR, 6-month and 12-month progression-free survival rate.
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Among each group: patients who are often excluded from clinical trials: their OS, PFS, ORR, DCR, DOR, TTR, 6-month and 12-month progression-free survival rate
- Safety endpoints (Cohort A, B, C, D): incidence of adverse events (AE) during treatment, AE-related discontinuation rate, AE relief rate
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Cohort A Patients will initially receive monotherapy PD1/PDL1 monoclonal antibody therapy. |
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Cohort B Patients will initially receive dual blockade of both PD1/PDL1 and CTLA4 |
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Cohort C Patients will initially receive PD1/PDL1 monoclonal antibody combined with chemotherapy or targeted therapy. |
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Cohort D Patients will receive other standard treatments for this tumor other than ICIs. |
Outcome Measures
Primary Outcome Measures
- Progression-free survival (PFS) determined by the researchers according to the RECIST 1.1 criteria.. [Baseline up to withdrawal of consent, progressive disease, or unacceptable toxicity (whichever occurs first), up to 24 months post-dose]
Progression-free survival (PFS) is defined as the time from the date of the first dose to the earlier of the dates of the first objective documentation of radiographic progressive disease (PD) or death due to any cause.
Secondary Outcome Measures
- Overall survival [Baseline up to withdrawal of consent, progressive disease, or unacceptable toxicity (whichever occurs first), up to 24 months post-dose]
Overall survival (OS) is defined as the time from the date of first dose to the date of death from any cause.
- Overall response rate [Baseline up to withdrawal of consent, progressive disease, or unacceptable toxicity (whichever occurs first), up to 24 months post-dose]
Objective response rate (defined as CR+PR) will be reported based on investigator's evaluation.
- Disease control rate [Baseline up to withdrawal of consent, progressive disease, or unacceptable toxicity (whichever occurs first), up to 24 months post-dose]
Disease control rate (defined as CR+PR+SD) will be reported based on investigator's evaluation.
- Duration of response [Baseline up to withdrawal of consent, progressive disease, or unacceptable toxicity (whichever occurs first), up to 24 months post-dose]
Duration of response (DOR) is defined as the time from the date of the first response to the first objective documentation of radiographic progressive disease (PD) or death due to any cause.
- Treatment-related adverse event [Informed consent to 30 days after last dose of treatment]
A treatment-related adverse event (TRAE) is defined as any adverse event not present prior to the initiation of drug treatment or any adverse event already present that worsens in intensity or frequency following exposure to the drug treatment. TRAEs were graded using National Cancer Institute (NCI)-CTCAE version 5.0.
Eligibility Criteria
Criteria
Inclusion Criteria:
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Sign the informed consent form and voluntarily participate in this study;
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Age ≥ 18 years old; age should also be ≤75 years old in Cohorts B, C, D;
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Histologically or cytologically confirmed to have a solid malignant tumor and confirmed by immunohistochemistry to be dMMR or confirmed by PCR/NGS to be MSI;
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The researcher determines that the patient can receive anti-tumor treatment;
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Have evaluable lesions
Exclusion Criteria:
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Other malignant tumors within 5 years before joining the study, except for cured skin squamous cell carcinoma, basal cell carcinoma, non-muscle invasive bladder cancer, localized low-risk prostate cancer (defined as stage ≤T2a, Gleason score ≤6 points, and prostate cancer diagnosed with PSA ≤10 ng/mL (if measured). Patients who have received radical treatment and have no prostate specific antigen (PSA) biochemical recurrence can participate in this study), cervical/breast carcinoma in situ, and Lynch syndrome;
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Evidence already exists that the patient is a pregnant or lactating woman;
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Previous treatment with immune checkpoint inhibitors or T cell co-stimulatory drugs, including but not limited to PD1, CTLA4, LAG3, and other immune checkpoint blockers, therapeutic vaccines, etc.; patients exposed to ICIs in perioperative setting are allowed to be enrolled if disease relapse after more than 6 months since the last dose of ICIs;
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Other situations deemed by the researcher to be unsuitable for inclusion in the study
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Peking University Cancer Hospital & Institute
Investigators
- Study Director: zhenghang Wang, Peking University Cancer Hospital & Institute
Study Documents (Full-Text)
None provided.More Information
Publications
- Andre T, Shiu KK, Kim TW, Jensen BV, Jensen LH, Punt C, Smith D, Garcia-Carbonero R, Benavides M, Gibbs P, de la Fouchardiere C, Rivera F, Elez E, Bendell J, Le DT, Yoshino T, Van Cutsem E, Yang P, Farooqui MZH, Marinello P, Diaz LA Jr; KEYNOTE-177 Investigators. Pembrolizumab in Microsatellite-Instability-High Advanced Colorectal Cancer. N Engl J Med. 2020 Dec 3;383(23):2207-2218. doi: 10.1056/NEJMoa2017699.
- Bui QL, Mas L, Hollebecque A, Tougeron D, de la Fouchardiere C, Pudlarz T, Alouani E, Guimbaud R, Taieb J, Andre T, Colle R, Cohen R. Treatments after Immune Checkpoint Inhibitors in Patients with dMMR/MSI Metastatic Colorectal Cancer. Cancers (Basel). 2022 Jan 14;14(2):406. doi: 10.3390/cancers14020406.
- Chen M, Wang Z, Liu Z, Liu N, Fang W, Zhang H, Jin X, Li J, Zhao W, Qu H, Song F, Chang Z, Li Y, Tang Y, Xu C, Zhang X, Wang X, Peng Z, Cai J, Li J, Shen L. The Optimal Therapy after Progression on Immune Checkpoint Inhibitors in MSI Metastatic Gastrointestinal Cancer Patients: A Multicenter Retrospective Cohort Study. Cancers (Basel). 2022 Oct 21;14(20):5158. doi: 10.3390/cancers14205158.
- Chida K, Kawazoe A, Kawazu M, Suzuki T, Nakamura Y, Nakatsura T, Kuwata T, Ueno T, Kuboki Y, Kotani D, Kojima T, Taniguchi H, Mano H, Ikeda M, Shitara K, Endo I, Yoshino T. A Low Tumor Mutational Burden and PTEN Mutations Are Predictors of a Negative Response to PD-1 Blockade in MSI-H/dMMR Gastrointestinal Tumors. Clin Cancer Res. 2021 Jul 1;27(13):3714-3724. doi: 10.1158/1078-0432.CCR-21-0401. Epub 2021 Apr 29.
- Hollebecque A, Chung HC, de Miguel MJ, Italiano A, Machiels JP, Lin CC, Dhani NC, Peeters M, Moreno V, Su WC, Chow KH, Galvao VR, Carlsen M, Yu D, Szpurka AM, Zhao Y, Schmidt SL, Gandhi L, Xu X, Bang YJ. Safety and Antitumor Activity of alpha-PD-L1 Antibody as Monotherapy or in Combination with alpha-TIM-3 Antibody in Patients with Microsatellite Instability-High/Mismatch Repair-Deficient Tumors. Clin Cancer Res. 2021 Dec 1;27(23):6393-6404. doi: 10.1158/1078-0432.CCR-21-0261. Epub 2021 Aug 31.
- Kasi PM, Budde G, Krainock M, Aushev VN, Koyen Malashevich A, Malhotra M, Olshan P, Billings PR, Aleshin A. Circulating tumor DNA (ctDNA) serial analysis during progression on PD-1 blockade and later CTLA-4 rescue in patients with mismatch repair deficient metastatic colorectal cancer. J Immunother Cancer. 2022 Jan;10(1):e003312. doi: 10.1136/jitc-2021-003312.
- Le DT, Durham JN, Smith KN, Wang H, Bartlett BR, Aulakh LK, Lu S, Kemberling H, Wilt C, Luber BS, Wong F, Azad NS, Rucki AA, Laheru D, Donehower R, Zaheer A, Fisher GA, Crocenzi TS, Lee JJ, Greten TF, Duffy AG, Ciombor KK, Eyring AD, Lam BH, Joe A, Kang SP, Holdhoff M, Danilova L, Cope L, Meyer C, Zhou S, Goldberg RM, Armstrong DK, Bever KM, Fader AN, Taube J, Housseau F, Spetzler D, Xiao N, Pardoll DM, Papadopoulos N, Kinzler KW, Eshleman JR, Vogelstein B, Anders RA, Diaz LA Jr. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science. 2017 Jul 28;357(6349):409-413. doi: 10.1126/science.aan6733. Epub 2017 Jun 8.
- Luchini C, Bibeau F, Ligtenberg MJL, Singh N, Nottegar A, Bosse T, Miller R, Riaz N, Douillard JY, Andre F, Scarpa A. ESMO recommendations on microsatellite instability testing for immunotherapy in cancer, and its relationship with PD-1/PD-L1 expression and tumour mutational burden: a systematic review-based approach. Ann Oncol. 2019 Aug 1;30(8):1232-1243. doi: 10.1093/annonc/mdz116.
- Luo J, Wu S, Rizvi H, Zhang Q, Egger JV, Osorio JC, Schoenfeld AJ, Plodkowski AJ, Ginsberg MS, Callahan MK, Maher C, Shoushtari AN, Postow MA, Voss MH, Kotecha RR, Gupta A, Raja R, Kris MG, Hellmann MD. Deciphering radiological stable disease to immune checkpoint inhibitors. Ann Oncol. 2022 Aug;33(8):824-835. doi: 10.1016/j.annonc.2022.04.450. Epub 2022 May 6.
- Malla M, Loree JM, Kasi PM, Parikh AR. Using Circulating Tumor DNA in Colorectal Cancer: Current and Evolving Practices. J Clin Oncol. 2022 Aug 20;40(24):2846-2857. doi: 10.1200/JCO.21.02615. Epub 2022 Jul 15.
- Wang Z, Wang X, Xu Y, Li J, Zhang X, Peng Z, Hu Y, Zhao X, Dong K, Zhang B, Gao C, Zhao X, Chen H, Cai J, Bai Y, Sun Y, Shen L. Mutations of PI3K-AKT-mTOR pathway as predictors for immune cell infiltration and immunotherapy efficacy in dMMR/MSI-H gastric adenocarcinoma. BMC Med. 2022 Apr 21;20(1):133. doi: 10.1186/s12916-022-02327-y.
- Wang Z, Zhang Q, Qi C, Bai Y, Zhao F, Chen H, Li Z, Wang X, Chen M, Gong J, Peng Z, Zhang X, Cai J, Chen S, Zhao X, Shen L, Li J. Combination of AKT1 and CDH1 mutations predicts primary resistance to immunotherapy in dMMR/MSI-H gastrointestinal cancer. J Immunother Cancer. 2022 Jun;10(6):e004703. doi: 10.1136/jitc-2022-004703.
- Wang Z, Zhao X, Gao C, Gong J, Wang X, Gao J, Li Z, Wang J, Yang B, Wang L, Zhang B, Zhou Y, Wang D, Li X, Bai Y, Li J, Shen L. Plasma-based microsatellite instability detection strategy to guide immune checkpoint blockade treatment. J Immunother Cancer. 2020 Nov;8(2):e001297. doi: 10.1136/jitc-2020-001297.
- Zhang Q, Luo J, Wu S, Si H, Gao C, Xu W, Abdullah SE, Higgs BW, Dennis PA, van der Heijden MS, Segal NH, Chaft JE, Hembrough T, Barrett JC, Hellmann MD. Prognostic and Predictive Impact of Circulating Tumor DNA in Patients with Advanced Cancers Treated with Immune Checkpoint Blockade. Cancer Discov. 2020 Dec;10(12):1842-1853. doi: 10.1158/2159-8290.CD-20-0047. Epub 2020 Aug 14.
- Zhu M, Jin Z, Hubbard JM. Management of Non-Colorectal Digestive Cancers with Microsatellite Instability. Cancers (Basel). 2021 Feb 6;13(4):651. doi: 10.3390/cancers13040651.
- LGH2023093