Literature DB >> 24771647

Hsa-miR-31-3p expression is linked to progression-free survival in patients with KRAS wild-type metastatic colorectal cancer treated with anti-EGFR therapy.

Gilles Manceau1, Sandrine Imbeaud2, Raphaële Thiébaut2, François Liébaert2, Karine Fontaine2, Francis Rousseau2, Bérengère Génin2, Delphine Le Corre2, Audrey Didelot2, Marc Vincent2, Jean-Baptiste Bachet2, Benoist Chibaudel2, Olivier Bouché2, Bruno Landi2, Frédéric Bibeau2, Karen Leroy2, Frédérique Penault-Llorca2, Jean-Luc Van Laethem2, Pieter Demetter2, Sabine Tejpar2, Simona Rossi2, Neda Mosakhani2, Pia Osterlund2, Raija Ristamäki2, Virinder Sarhadi2, Sakari Knuutila1, Valérie Boige1, Thierry André2, Pierre Laurent-Puig1.   

Abstract

PURPOSE: To identify microRNAs (miRNA) that predict response to anti-EGFR antibodies in patients with wild-type KRAS metastatic colorectal cancer (mCRC). EXPERIMENTAL
DESIGN: miRNA profiling was performed in a training set of 87 patients with mCRC refractory to chemotherapy treated with anti-EGFR antibodies. This included 33 fresh-frozen (FF) and 35 formalin-fixed paraffin-embedded (FFPE) samples retrospectively collected and 19 prospectively collected FF samples. An independent validation cohort consisting of 19 FF and 26 FFPE prospectively collected samples from patients with mCRC treated with anti-EGFR antibodies was used to confirm our findings.
RESULTS: After screening the expression of 1,145 miRNAs in FF samples from the training set, we identified that hsa-miR-31-3p expression level was significantly associated with progression-free survival (PFS). Statistical models based on miRNA expression discriminated between high and low risk of progression for both FF and FFPE samples. These models were confirmed in the validation cohort for both FF [HR, 4.1; 95% confidence interval (CI), 1.1-15.3; P < 0.04] and FFPE samples (HR, 2.44; 95% CI, 1.1-5.4; P = 0.028). The percentage of variation of RECIST criteria in the validation series was significantly associated with the expression level of hsa-miR-31-3p (r(2) = 0.49; P = 0.0035) and risk status determined by hsa-miR-31-3p expression level (P = 0.02, Kruskal-Wallis rank test). Nomograms were built and validated to predict PFS-depending on hsa-miR-31-3p expression level. Following in vitro studies, we identified 47 genes regulated by hsa-miR-31-3p.
CONCLUSION: Hsa-miR-31-3p seems to be a new mCRC biomarker whose expression level allows for the identification of patients with wild-type KRAS mCRC who are more likely to respond to anti-EGFR therapy. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 24771647     DOI: 10.1158/1078-0432.CCR-13-2750

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  40 in total

1.  Genome-Wide miRNA Analysis Identifies miR-188-3p as a Novel Prognostic Marker and Molecular Factor Involved in Colorectal Carcinogenesis.

Authors:  Martin Pichler; Verena Stiegelbauer; Petra Vychytilova-Faltejskova; Cristina Ivan; Hui Ling; Elke Winter; Xinna Zhang; Matthew Goblirsch; Annika Wulf-Goldenberg; Masahisa Ohtsuka; Johannes Haybaeck; Marek Svoboda; Yoshinaga Okugawa; Armin Gerger; Gerald Hoefler; Ajay Goel; Ondrej Slaby; George Adrian Calin
Journal:  Clin Cancer Res       Date:  2016-09-06       Impact factor: 12.531

2.  MicroRNA-31-3p Is Involved in Substance P (SP)-Associated Inflammation in Human Colonic Epithelial Cells and Experimental Colitis.

Authors:  Kai Fang; Ivy Ka Man Law; David Padua; Aristea Sideri; Vanessa Huang; Christopher G Kevil; Dimitrios Iliopoulos; Charalabos Pothoulakis
Journal:  Am J Pathol       Date:  2017-12-16       Impact factor: 4.307

Review 3.  An update on miRNAs as biological and clinical determinants in colorectal cancer: a bench-to-bedside approach.

Authors:  Wenhao Weng; Junlan Feng; Huanlong Qin; Yanlei Ma; Ajay Goel
Journal:  Future Oncol       Date:  2015       Impact factor: 3.404

4.  Reciprocal regulation between microRNAs and epigenetic machinery in colorectal cancer.

Authors:  Feng Wang; Yanlei Ma; Huamin Wang; Huanlong Qin
Journal:  Oncol Lett       Date:  2017-01-11       Impact factor: 2.967

Review 5.  Mechanisms of Innate and Acquired Resistance to Anti-EGFR Therapy: A Review of Current Knowledge with a Focus on Rechallenge Therapies.

Authors:  Christine M Parseghian; Stefania Napolitano; Jonathan M Loree; Scott Kopetz
Journal:  Clin Cancer Res       Date:  2019-07-01       Impact factor: 12.531

Review 6.  MicroRNAs: Novel immunotherapeutic targets in colorectal carcinoma.

Authors:  Xiang Li; Jing Nie; Qian Mei; Wei-Dong Han
Journal:  World J Gastroenterol       Date:  2016-06-21       Impact factor: 5.742

Review 7.  Epigenetic Alterations in Colorectal Cancer: Emerging Biomarkers.

Authors:  Yoshinaga Okugawa; William M Grady; Ajay Goel
Journal:  Gastroenterology       Date:  2015-07-26       Impact factor: 22.682

Review 8.  Potential biomarkers for anti-EGFR therapy in metastatic colorectal cancer.

Authors:  Jiao Yang; Shuting Li; Biyuan Wang; Yinying Wu; Zheling Chen; Meng Lv; Yayun Lin; Jin Yang
Journal:  Tumour Biol       Date:  2016-07-16

Review 9.  Systematic review of systemic adjuvant, neoadjuvant and perioperative chemotherapy for resectable colorectal-liver metastases.

Authors:  Emily Khoo; Stephen O'Neill; Ewan Brown; Stephen J Wigmore; Ewen M Harrison
Journal:  HPB (Oxford)       Date:  2016-04-20       Impact factor: 3.647

10.  Nomograms for colorectal cancer: A systematic review.

Authors:  Kazushige Kawai; Eiji Sunami; Hironori Yamaguchi; Soichiro Ishihara; Shinsuke Kazama; Hiroaki Nozawa; Keisuke Hata; Tomomichi Kiyomatsu; Junichiro Tanaka; Toshiaki Tanaka; Takeshi Nishikawa; Joji Kitayama; Toshiaki Watanabe
Journal:  World J Gastroenterol       Date:  2015-11-07       Impact factor: 5.742

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