Literature DB >> 26260776

Prediction of response to preoperative chemoradiotherapy and establishment of individualized therapy in advanced rectal cancer.

Toshihiro Nakao1, Takashi Iwata1, Masanori Hotchi1, Kozo Yoshikawa1, Jun Higashijima1, Masaaki Nishi1, Chie Takasu1, Shohei Eto1, Hiroki Teraoku1, Mitsuo Shimada1.   

Abstract

Preoperative chemoradiotherapy (CRT) has become the standard treatment for patients with locally advanced rectal cancer. However, no specific biomarker has been identified to predict a response to preoperative CRT. The aim of the present study was to assess the gene expression patterns of patients with advanced rectal cancer to predict their responses to preoperative CRT. Fifty-nine rectal cancer patients were subjected to preoperative CRT. Patients were randomly assigned to receive CRT with tegafur/gimeracil/oteracil (S-1 group, n=30) or tegafur-uracil (UFT group, n=29). Gene expression changes were studied with cDNA and miRNA microarray. The association between gene expression and response to CRT was evaluated. cDNA microarray showed that 184 genes were significantly differentially expressed between the responders and the non‑responders in the S-1 group. Comparatively, 193 genes were significantly differentially expressed in the responders in the UFT group. TBX18 upregulation was common to both groups whereas BTNL8, LOC375010, ADH1B, HRASLS2, LOC284232, GCNT3 and ALDH1A2 were significantly differentially lower in both groups when compared with the non-responders. Using miRNA microarray, we found that 7 and 16 genes were significantly differentially expressed between the responders and non-responders in the S-1 and UFT groups, respectively. miR-223 was significantly higher in the responders in the S-1 group and tended to be higher in the responders in the UFT group. The present study identified several genes likely to be useful for establishing individualized therapies for patients with rectal cancer.

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Year:  2015        PMID: 26260776     DOI: 10.3892/or.2015.4196

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  10 in total

1.  The potential predictive value of DEK expression for neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.

Authors:  J Martinez-Useros; I Moreno; M J Fernandez-Aceñero; M Rodriguez-Remirez; A Borrero-Palacios; A Cebrian; T Gomez Del Pulgar; L Del Puerto-Nevado; W Li; A Puime-Otin; N Perez; M S Soengas; J Garcia-Foncillas
Journal:  BMC Cancer       Date:  2018-02-06       Impact factor: 4.430

2.  The Role of Neutrophil-to-lymphocyte Ratio on the Effect of CRT for Patients With Rectal Cancer.

Authors:  Daichi Ishikawa; Masaaki Nishi; Chie Takasu; Hideya Kashihara; Takuya Tokunaga; Jun Higashijima; Kozo Yoshikawa; Mitsuo Shimada
Journal:  In Vivo       Date:  2020 Mar-Apr       Impact factor: 2.155

3.  The effect of circulating miR-223 on surveillance of different cancers: a meta-analysis.

Authors:  Yunfeng Zhang; Jinbo Lin; Wenjie Huang; Yong Cao; Yi Liu; Tieqiang Wang; Weiyi Zhong; Dongli Wang; Rongrong Mao; Xiaoliang Chen
Journal:  Onco Targets Ther       Date:  2017-06-28       Impact factor: 4.147

4.  The role of glycosyltransferase enzyme GCNT3 in colon and ovarian cancer prognosis and chemoresistance.

Authors:  Lara P Fernández; Ruth Sánchez-Martínez; Teodoro Vargas; Jesús Herranz; Roberto Martín-Hernández; Marta Mendiola; David Hardisson; Guillermo Reglero; Jaime Feliu; Andrés Redondo; Ana Ramírez de Molina
Journal:  Sci Rep       Date:  2018-05-31       Impact factor: 4.379

5.  Laparoscopic versus conventional open surgery in T4 rectal cancer: A case-control study.

Authors:  Xubing Zhang; Qingbin Wu; Tao Hu; Chaoyang Gu; Liang Bi; Ziqiang Wang
Journal:  J Minim Access Surg       Date:  2019 Jan-Mar       Impact factor: 1.407

6.  Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian Networks.

Authors:  Sung Bae Park; Chun Kee Chung; Efrain Gonzalez; Changwon Yoo
Journal:  J Bone Metab       Date:  2018-11-30

7.  Development of a long non-coding RNA signature for prediction of response to neoadjuvant chemoradiotherapy in locally advanced rectal adenocarcinoma.

Authors:  Lorenzo Ferrando; Gabriella Cirmena; Anna Garuti; Stefano Scabini; Federica Grillo; Luca Mastracci; Edoardo Isnaldi; Ciro Marrone; Roberta Gonella; Roberto Murialdo; Roberto Fiocca; Emanuele Romairone; Alberto Ballestrero; Gabriele Zoppoli
Journal:  PLoS One       Date:  2020-02-05       Impact factor: 3.240

Review 8.  Predicting response to neoadjuvant chemoradiotherapy in rectal cancer: from biomarkers to tumor models.

Authors:  Moying Li; Qiyun Xiao; Nachiyappan Venkatachalam; Ralf-Dieter Hofheinz; Marlon R Veldwijk; Carsten Herskind; Matthias P Ebert; Tianzuo Zhan
Journal:  Ther Adv Med Oncol       Date:  2022-02-21       Impact factor: 8.168

9.  Potential of miR-21 to Predict Incomplete Response to Chemoradiotherapy in Rectal Adenocarcinoma.

Authors:  Susana Ourô; Cláudia Mourato; Sónia Velho; André Cardador; Marisa P Ferreira; Diogo Albergaria; Rui E Castro; Rui Maio; Cecília M P Rodrigues
Journal:  Front Oncol       Date:  2020-10-27       Impact factor: 6.244

Review 10.  The Role of Micro-RNAs and Circulating Tumor Markers as Predictors of Response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer.

Authors:  Fatima Domenica Elisa De Palma; Gaetano Luglio; Francesca Paola Tropeano; Gianluca Pagano; Maria D'Armiento; Guido Kroemer; Maria Chiara Maiuri; Giovanni Domenico De Palma
Journal:  Int J Mol Sci       Date:  2020-09-24       Impact factor: 5.923

  10 in total

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