Literature DB >> 27225591

Gene and MicroRNA Expression Are Predictive of Tumor Response in Rectal Adenocarcinoma Patients Treated With Preoperative Chemoradiotherapy.

Caterina Millino1, Isacco Maretto2, Beniamina Pacchioni1, Maura Digito2, Antonino De Paoli3, Vincenzo Canzonieri4, Edoardo D'Angelo2,5, Marco Agostini2,5,6, Flavio Rizzolio7,8, Antonio Giordano8, Andrea Barina2, Senthilkumar Rajendran2, Giovanni Esposito9, Gerolamo Lanfranchi1, Donato Nitti2, Salvatore Pucciarelli10.   

Abstract

Preoperative chemoradiotherapy (pCRT) followed by surgery is the standard treatment for locally advanced rectal cancer (LARC). However, tumor response to pCRT is not uniform, and there are no effective predictive methods. This study investigated whether specific gene and miRNA expression are associated with tumor response to pCRT. Tissue biopsies were obtained from patients before pCRT and resection. Gene and miRNA expression were analyzed using a one-color microarray technique that compares signatures between responders (R) and non-responders (NR), as measured based on tumor regression grade. Two groups composed of 38 "exploration cohort" and 21 "validation cohort" LARC patients were considered for a total of 32 NR and 27 R patients. In the first cohort, using SAM Two Class analysis, 256 genes and 29 miRNAs that were differentially expressed between the NR and R patients were identified. The anti-correlation analysis showed that the same 8 miRNA interacted with different networks of transcripts. The miR-630 appeared only with the NR patients and was anti-correlated with a single transcript: RAB5B. After PAM, the following eight transcripts were strong predictors of tumor response: TMEM188, ITGA2, NRG, TRAM1, BCL2L13, MYO1B, KLF7, and GTSE1. Using this gene set, an unsupervised cluster analysis was applied to the validation cohort and correctly assigned the patients to the NR or R group with 85.7% accuracy, 90% sensitivity, and 82% specificity. All three parameters reached 100% when both cohorts were considered together. In conclusion, gene and miRNA expression profiles may be helpful for predicting response to pCRT in LARC patients. J. Cell. Physiol. 232: 426-435, 2017.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

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Year:  2016        PMID: 27225591     DOI: 10.1002/jcp.25441

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  19 in total

Review 1.  BCL2L13: physiological and pathological meanings.

Authors:  Fei Meng; Naitong Sun; Dongyan Liu; Jia Jia; Jun Xiao; Haiming Dai
Journal:  Cell Mol Life Sci       Date:  2020-11-17       Impact factor: 9.261

2.  Tumor microRNAs Identified by Small RNA Sequencing as Potential Response Predictors in Locally Advanced Rectal Cancer Patients Treated With Neoadjuvant Chemoradiotherapy.

Authors:  Tana Machackova; Karolina Trachtova; Vladimir Prochazka; Tomas Grolich; Martina Farkasova; Lukas Fiala; Roman Sefr; Igor Kiss; Matej Skrovina; Michal Dosoudil; Ioana Berindan-Neagoe; Marek Svoboda; Ondrej Slaby; Zdenek Kala
Journal:  Cancer Genomics Proteomics       Date:  2020 May-Jun       Impact factor: 4.069

Review 3.  Emerging biomarkers for the combination of radiotherapy and immune checkpoint blockers.

Authors:  Claire Lhuillier; Claire Vanpouille-Box; Lorenzo Galluzzi; Silvia Chiara Formenti; Sandra Demaria
Journal:  Semin Cancer Biol       Date:  2017-12-16       Impact factor: 15.707

Review 4.  DNA damage and mitochondria in cancer and aging.

Authors:  Jaimin Patel; Beverly A Baptiste; Edward Kim; Mansoor Hussain; Deborah L Croteau; Vilhelm A Bohr
Journal:  Carcinogenesis       Date:  2020-12-31       Impact factor: 4.944

5.  Identification of biomarker microRNAs for predicting the response of colorectal cancer to neoadjuvant chemoradiotherapy based on microRNA regulatory network.

Authors:  Yaqun Zhu; Qiliang Peng; Yuxin Lin; Li Zou; Peipei Shen; Feifei Chen; Ming Min; Li Shen; Jiajia Chen; Bairong Shen
Journal:  Oncotarget       Date:  2017-01-10

6.  Abnormal expression of mRNA, microRNA alteration and aberrant DNA methylation patterns in rectal adenocarcinoma.

Authors:  Yang Hua; Xiukun Ma; Xianglong Liu; Xiangfei Yuan; Hai Qin; Xipeng Zhang
Journal:  PLoS One       Date:  2017-03-28       Impact factor: 3.240

7.  MicroRNA molecular profiling identifies potential signaling pathways conferring resistance to chemoradiation in locally-advanced rectal adenocarcinoma.

Authors:  Cory Pettit; Amy Webb; Steve Walston; Moumita Chatterjee; Wei Chen; Wendy Frankel; Carlo Croce; Terence M Williams
Journal:  Oncotarget       Date:  2018-06-22

8.  Preoperative chemoradiotherapy for rectal cancer: the sensitizer role of the association between miR-375 and c-Myc.

Authors:  Raquel Conde-Muiño; Carlos Cano; Victoria Sánchez-Martín; Antonio Herrera; Ana Comino; Pedro P Medina; Pablo Palma; Marta Cuadros
Journal:  Oncotarget       Date:  2017-07-19

9.  Integrated analysis of colorectal cancer microRNA datasets: identification of microRNAs associated with tumor development.

Authors:  Luca Falzone; Letizia Scola; Antonino Zanghì; Antonio Biondi; Antonio Di Cataldo; Massimo Libra; Saverio Candido
Journal:  Aging (Albany NY)       Date:  2018-05-18       Impact factor: 5.682

10.  A Nine-Gene Signature for Predicting the Response to Preoperative Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer.

Authors:  In Ja Park; Yun Suk Yu; Bilal Mustafa; Jin Young Park; Yong Bae Seo; Gun-Do Kim; Jinpyo Kim; Chang Min Kim; Hyun Deok Noh; Seung-Mo Hong; Yeon Wook Kim; Mi-Ju Kim; Adnan Ahmad Ansari; Luigi Buonaguro; Sung-Min Ahn; Chang-Sik Yu
Journal:  Cancers (Basel)       Date:  2020-03-26       Impact factor: 6.639

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