Personalizing Colorectal Cancer Medicine (ImmuCol2)
Study Details
Study Description
Brief Summary
Colorectal cancers are the leading cancers for both sexes combined. They represent 15-20% of all cancers. This cancer has a severe prognosis, the survival rate at 5 years is around 55% and in France it is estimated, all colorectal cancers are responsible for an annual mortality of 15,000 patients. The prognosis of colon cancer knows no significant improvement.
The treatment of colon cancer is surgical. It is intended for removal of colonic segment bearing the tumor with margins of healthy colon. The therapeutic attitude following the surgery is essentially driven by histopathology of the tumor. Adjuvant chemotherapy for all patients with localized stage II provides no benefit because the effectiveness of chemotherapy is limited and vulnerable to systemic toxicity. However, nearly 30% of patients with stage II disease will have a recurrence / metastasis. These patients could benefit from adjuvant chemotherapy.
Intense research efforts have been made to identify markers predictive of relapse. Over thirty biological markers (eg. Mutations, deletions, chromosomal instability, ...) were highlighted. None of them has so far sufficient prognostic value (independent of TNM) to justify routine application in clinical practice in order to adapt the treatment of patients.
The identification of new prognostic markers is a major issue for colorectal cancer. We showed that the intratumoral density memory T lymphocytes (CD45RO) and cytotoxic (CD8) strongly influenced the clinical outcome of patients. We have developed and validated a "immunoscore" technique intratumoral immune quantification and creates a platform to facilitate the clinical immuno transfer.
We are currently conducting a large international retrospective study (22 centers,> 9000 patients) with promotion of cancer immunotherapy Company (SITC) to validate the method "immunoscore." At the same time, we are conducting a prospective multicenter study "ImmuCol" (National PHRC) to validate the prognostic value of "immunoscore" in colorectal cancer stage I-IV. The goal of inclusion has been achieved, as 420 patients were included for 18 months. Clinical follow-up will be 3 years after surgery.
The program ImmuCol2 research takes advantage of the ImmuCol study to extend the investigation beyond the immunoscore to define the combination of interest, prognostic and theranostic parameters at diagnosis and during the clinical course patients with an objective of personalized medicine.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
Detailed Description
The project aims:
(i) to combine at time of diagnosis the immunoscore with parameters related to the patient, its tumor and the associated microenvironment (ii) to detect events occurring during the follow up period that could modify the initial prognosis and lead to a repositioning of the patient, to move towards a dynamic personalized medicine.
(iii) to explore the Theranostic aspect of the parameters monitored at the time of diagnosis for patients with colonic cancers treated with adjuvant chemotherapy.
To this end we will investigate:
-
Tumor's features:
-
We will determine the microsatellite instability status and search for mutations of 46 genes (ABL1, AKT1, ALK, APC, ATM, BRAF, CCDH1, CDKN2A, CSF1R, CTNNB, EGFR, ERBB2, ERBB4, EZH2, FBXW7, FGFR1, FGFR2, FGFR3, FLT3, GNA11, GNAQ, GNAS, HNF1A, HRAS, IDH1, IDH2, JAK2, JAK3, KDR, KIT, KRAS, NOTCH1, NPM1, NRAS, PDGFRA, PDGFRA, PIK3CA, PTEN, PTPN11, RB1, RET, SMAD4, SMARCB1, SMO, STK11, TP53, VHL) by next generation sequencing (NGS).
-
Tumor immune microenvironment features:
-
24 immune related genes, 24 miRNA and co-inihibitory molecules (PD1, PD1-L, LAG-3, TIM3, CTLA-4) will be explored on tumor samples.
-
Systemic disorders:
-
Autoimmunity, allergy or inflammatory diseases will be sought with a dedicated questionnaire filled out by the patient and a serum examination for the screening of immune disorders at the time of diagnosis and during the survey.
-
The nutritional status (% of weight loss) and the deficiencies in vitamins, folic acid, trace elements and thyroid hormones that synergise with immune cells will be determined at the time of diagnosis.
-
Psychological status:
-
The impact of the psychological profile of the patient will be investigated with a dedicated questionnaire, given at the time of diagnosis and every six months.
-
Data mining to achieve a dynamic personalized medicine:
The integration and statistical analysis of heterogeneous data types (clinical and different experimental data) will be performed using with tranSMART, an open source platform and with bioinformatic tools (TMEdb, ClueGO, CluePedia, Genesis) developed by participant teams.
Study Design
Outcome Measures
Primary Outcome Measures
- Relapse in relation with the immunoscore determined on a tumor section and criteria defined in the monitoring of patients [3 years]
This primary outcome (relapse) will be correlated to the immunoscore and several criteria (dysimmune systemic criteria, malnutrition, vitamin deficiencies in micronutrients, psychological criteria) in order to evaluate their pronostic impact. The measure is a composite outcome.
Secondary Outcome Measures
- Relapse in relation with the immune component cancers beyond immunoscore [Every 3 months during 2 years and every 6 months during the third year]
The primary outcome (relapse) will be correlated to the expression of immune molecules associated with activation or inhibition of T lymphocyte and by in situ analysis of the expression level of immune genes. A comparison of the prognostic performance of these parameters will be performed. These parameters will then be analyzed in combination with immunoscore to determine the optimal combination of immune parameters with prognostic and theranostic target.
- Relapse in relation with the immunoscore on biopsies [Every 3 months during 2 years and every 6 months during the third year]
The primary outcome (relapse) will be correlated to the immunoscore and expression of immune genes determined on biopsies performed for diagnosis purpose
Eligibility Criteria
Criteria
Inclusion Criteria:
-
Adult patient with newly diagnosed colon cancer
-
Patient with signed informed consent
-
Patient follow-up during the first three years made in the recruiting center
Exclusion Criteria:
- Adjuvant treatment (chemotherapy) started at the time of inclusion
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Hopital de Besançon (CHU) | Besançon | France | 25000 | |
2 | Hopital Avicenne | Bobigny | France | 93000 | |
3 | CHU de Bordeaux | Bordeaux | France | 33000 | |
4 | Institut Bergonié Bordeaux | Bordeaux | France | 33000 | |
5 | Hopital Beaujon | Clichy | France | 92110 | |
6 | Hopital de Dijon (CHU) | Dijon | France | 21000 | |
7 | Hopital Europeen Georges Pompidou (HEGP) | Paris | France | 75015 | |
8 | Hopital de Poitiers (CHU) | Poitiers | France | 86000 | |
9 | Hopital Charles Nicolle (CHU) | Rouen | France | 76000 |
Sponsors and Collaborators
- Assistance Publique - Hôpitaux de Paris
- Ministry of Health, France
Investigators
- Principal Investigator: Franck Pages, Professor (MD-PHD), AP-HP; Paris Descartes University
Study Documents (Full-Text)
None provided.More Information
Publications
- Bindea G, Mlecnik B, Tosolini M, Kirilovsky A, Waldner M, Obenauf AC, Angell H, Fredriksen T, Lafontaine L, Berger A, Bruneval P, Fridman WH, Becker C, Pagès F, Speicher MR, Trajanoski Z, Galon J. Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer. Immunity. 2013 Oct 17;39(4):782-95. doi: 10.1016/j.immuni.2013.10.003.
- Dalerba P, Maccalli C, Casati C, Castelli C, Parmiani G. Immunology and immunotherapy of colorectal cancer. Crit Rev Oncol Hematol. 2003 Apr;46(1):33-57. Review.
- Dunn GP, Bruce AT, Ikeda H, Old LJ, Schreiber RD. Cancer immunoediting: from immunosurveillance to tumor escape. Nat Immunol. 2002 Nov;3(11):991-8. Review.
- Fridman WH, Pagès F, Sautès-Fridman C, Galon J. The immune contexture in human tumours: impact on clinical outcome. Nat Rev Cancer. 2012 Mar 15;12(4):298-306. doi: 10.1038/nrc3245. Review.
- Galon J, Costes A, Sanchez-Cabo F, Kirilovsky A, Mlecnik B, Lagorce-Pagès C, Tosolini M, Camus M, Berger A, Wind P, Zinzindohoué F, Bruneval P, Cugnenc PH, Trajanoski Z, Fridman WH, Pagès F. Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science. 2006 Sep 29;313(5795):1960-4.
- Galon J, Mlecnik B, Bindea G, Angell HK, Berger A, Lagorce C, Lugli A, Zlobec I, Hartmann A, Bifulco C, Nagtegaal ID, Palmqvist R, Masucci GV, Botti G, Tatangelo F, Delrio P, Maio M, Laghi L, Grizzi F, Asslaber M, D'Arrigo C, Vidal-Vanaclocha F, Zavadova E, Chouchane L, Ohashi PS, Hafezi-Bakhtiari S, Wouters BG, Roehrl M, Nguyen L, Kawakami Y, Hazama S, Okuno K, Ogino S, Gibbs P, Waring P, Sato N, Torigoe T, Itoh K, Patel PS, Shukla SN, Wang Y, Kopetz S, Sinicrope FA, Scripcariu V, Ascierto PA, Marincola FM, Fox BA, Pagès F. Towards the introduction of the 'Immunoscore' in the classification of malignant tumours. J Pathol. 2014 Jan;232(2):199-209. doi: 10.1002/path.4287. Review.
- Jass JR. Lymphocytic infiltration and survival in rectal cancer. J Clin Pathol. 1986 Jun;39(6):585-9.
- Mlecnik B, Tosolini M, Kirilovsky A, Berger A, Bindea G, Meatchi T, Bruneval P, Trajanoski Z, Fridman WH, Pagès F, Galon J. Histopathologic-based prognostic factors of colorectal cancers are associated with the state of the local immune reaction. J Clin Oncol. 2011 Feb 20;29(6):610-8. doi: 10.1200/JCO.2010.30.5425. Epub 2011 Jan 18.
- Myron Kauffman H, McBride MA, Cherikh WS, Spain PC, Marks WH, Roza AM. Transplant tumor registry: donor related malignancies. Transplantation. 2002 Aug 15;74(3):358-62.
- Pagès F, Berger A, Camus M, Sanchez-Cabo F, Costes A, Molidor R, Mlecnik B, Kirilovsky A, Nilsson M, Damotte D, Meatchi T, Bruneval P, Cugnenc PH, Trajanoski Z, Fridman WH, Galon J. Effector memory T cells, early metastasis, and survival in colorectal cancer. N Engl J Med. 2005 Dec 22;353(25):2654-66.
- Pagès F, Galon J, Dieu-Nosjean MC, Tartour E, Sautès-Fridman C, Fridman WH. Immune infiltration in human tumors: a prognostic factor that should not be ignored. Oncogene. 2010 Feb 25;29(8):1093-102. doi: 10.1038/onc.2009.416. Epub 2009 Nov 30. Review.
- Pagès F, Kirilovsky A, Mlecnik B, Asslaber M, Tosolini M, Bindea G, Lagorce C, Wind P, Marliot F, Bruneval P, Zatloukal K, Trajanoski Z, Berger A, Fridman WH, Galon J. In situ cytotoxic and memory T cells predict outcome in patients with early-stage colorectal cancer. J Clin Oncol. 2009 Dec 10;27(35):5944-51. doi: 10.1200/JCO.2008.19.6147. Epub 2009 Oct 26.
- Phillips SM, Banerjea A, Feakins R, Li SR, Bustin SA, Dorudi S. Tumour-infiltrating lymphocytes in colorectal cancer with microsatellite instability are activated and cytotoxic. Br J Surg. 2004 Apr;91(4):469-75.
- Saltz LB, Kelsen DP. Adjuvant treatment of colorectal cancer. Annu Rev Med. 1997;48:191-202. Review.
- NI13017