Literature DB >> 27177629

Feasibility of novel PPP1R15A and proposed ANXA11 single nucleotide polymorphisms as predictive markers for bevacizumab regimen in metastatic colorectal cancer.

Seon Ae Roh1,2,3, In Ja Park1,2, Yong Sik Yoon1,2,3, Yi Hong Kwon1,3, Jin Hwa Chung1, Tae Won Kim1,4, Dong Hyung Cho5, Byung Ho Lim6, Seon Kyu Kim6, Seon Young Kim6, Yong Sung Kim7, Jin Cheon Kim8,9,10.   

Abstract

PURPOSE: Bevacizumab improves survival in patients with metastatic colorectal cancer (mCRC) under chemotherapy, but few predictive markers have been identified.
METHODS: To investigate chemosensitive single nucleotide polymorphisms (SNPs) of mCRC, we performed exome sequencing and RNA sequencing in 19 patients. A clinical association analysis was performed with the other 116 patients who had received chemotherapy to bevacizumab regimens. In vivo biodistribution studies and [(18)F]FDG-PET imaging were performed on mice bearing human colorectal cancer (HCT116 and SW480) xenografts after injection of bevacizumab with 5-FU, leucovorin, and irinotecan (FOLFIRI).
RESULTS: PPP1R15A rs557806 showed the most significant association with FRB-driven tumor IR in exome sequencing and the highest correlation (r = 0.74) with drug responses in RNA sequencing. Patients homozygous for the reference alleles (GG) of PPP1R15A rs557806 exhibited greater disease control rate and a tendency toward greater objective response rate (ORR) than those with homozygous or heterozygous substitution alleles (GC and CC; P = 0.027 and 0.073, respectively). In xenografted mice, HCT116 clones transfected with the G allele at PPP1R15A rs557806 were more sensitive to bevacizumab regimens than those with the C allele. Tumor volume of xenografts with the G allele was significantly lower than that of xenografts with the C allele (P = 0.004, day 13). [(18)F]FDG uptake decreased to 75 % in HCT116 xenograft-bearing mice with the G allele, whereas [(18)F]FDG uptake was 42 % in mice xenografts with the C allele (P = 0.032). ANXA11 rs1049550, a predictive biomarker of SNP described in our previous study, was validated using the xenograft model. Tumor volume and [(18)F]FDG uptake analyses showed that tumors in the SW480 xenografts expressing the substitution allele (T) at ANXA11 rs1049550 were more susceptible to FOLFIRI plus bevacizumab-induced suppression than those expressing the reference allele (C) (P = 0.001 and 0.026, respectively).
CONCLUSION: ANXA11 rs1049550 and PPP1R15A rs557806 may improve the identification of mCRC patients sensitive to bevacizumab regimens, and further validation is required in large cohorts.

Entities:  

Keywords:  ANXA11; Bevacizumab; Metastatic colorectal cancer; PPP1R15A; Predictive marker

Mesh:

Substances:

Year:  2016        PMID: 27177629     DOI: 10.1007/s00432-016-2177-5

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  24 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

Authors:  Aaron McKenna; Matthew Hanna; Eric Banks; Andrey Sivachenko; Kristian Cibulskis; Andrew Kernytsky; Kiran Garimella; David Altshuler; Stacey Gabriel; Mark Daly; Mark A DePristo
Journal:  Genome Res       Date:  2010-07-19       Impact factor: 9.043

3.  VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing.

Authors:  Daniel C Koboldt; Qunyuan Zhang; David E Larson; Dong Shen; Michael D McLellan; Ling Lin; Christopher A Miller; Elaine R Mardis; Li Ding; Richard K Wilson
Journal:  Genome Res       Date:  2012-02-02       Impact factor: 9.043

4.  Novel chemosensitive single-nucleotide polymorphism markers to targeted regimens in metastatic colorectal cancer.

Authors:  Jin C Kim; Seon Y Kim; Dong H Cho; Ye J Ha; Eun Y Choi; Chan W Kim; Seon A Roh; Tae W Kim; Hyoungseok Ju; Yong S Kim
Journal:  Clin Cancer Res       Date:  2011-01-14       Impact factor: 12.531

Review 5.  Pharmacogenomics of intrinsic and acquired pharmacoresistance in colorectal cancer: Toward targeted personalized therapy.

Authors:  Elena De Mattia; Erika Cecchin; Giuseppe Toffoli
Journal:  Drug Resist Updat       Date:  2015-05-22       Impact factor: 18.500

6.  Vascular endothelial growth factor polymorphisms and clinical outcome in colorectal cancer patients treated with irinotecan-based chemotherapy and bevacizumab.

Authors:  A K Koutras; A G Antonacopoulou; A G Eleftheraki; F-I Dimitrakopoulos; A Koumarianou; I Varthalitis; F Fostira; J Sgouros; E Briasoulis; E Bournakis; D Bafaloukos; I Bompolaki; E Galani; K T Kalogeras; D Pectasides; G Fountzilas; H P Kalofonos
Journal:  Pharmacogenomics J       Date:  2011-08-16       Impact factor: 3.550

Review 7.  Role of bevacizumab in colorectal cancer growth and its adverse effects: a review.

Authors:  Efstathios T Pavlidis; Theodoros E Pavlidis
Journal:  World J Gastroenterol       Date:  2013-08-21       Impact factor: 5.742

8.  dbNSFP v2.0: a database of human non-synonymous SNVs and their functional predictions and annotations.

Authors:  Xiaoming Liu; Xueqiu Jian; Eric Boerwinkle
Journal:  Hum Mutat       Date:  2013-07-10       Impact factor: 4.878

9.  Feasibility of proposed single-nucleotide polymorphisms as predictive markers for targeted regimens in metastatic colorectal cancer.

Authors:  J C Kim; Y J Ha; S A Roh; E Y Choi; Y S Yoon; K P Kim; Y S Hong; T W Kim; D H Cho; S Y Kim; Y S Kim
Journal:  Br J Cancer       Date:  2013-04-11       Impact factor: 7.640

10.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

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1.  Association of single nucleotide polymorphism rs2065955 of the filaggrin gene with susceptibility to Epstein-Barr virus-associated gastric carcinoma and EBV-negative gastric carcinoma.

Authors:  Xiaojing Kuang; Lingling Sun; Shuzhen Liu; Zhenzhen Zhao; Danrui Zhao; Song Liu; Bing Luo
Journal:  Virol Sin       Date:  2016-08-10       Impact factor: 4.327

Review 2.  Annexin Animal Models-From Fundamental Principles to Translational Research.

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3.  Associations of self-reported smoking, cotinine levels and epigenetic smoking indicators with oxidative stress among older adults: a population-based study.

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Journal:  Eur J Epidemiol       Date:  2017-04-22       Impact factor: 8.082

4.  Downregulation of Annexin A11 (ANXA11) Inhibits Cell Proliferation, Invasion, and Migration via the AKT/GSK-3β Pathway in Gastric Cancer.

Authors:  Kelei Hua; Yong Li; Qun Zhao; Liqiao Fan; Bibo Tan; Jianbin Gu
Journal:  Med Sci Monit       Date:  2018-01-07

5.  Exploring the Molecular Mechanism of the Drug-Treated Breast Cancer Based on Gene Expression Microarray.

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Journal:  Biomolecules       Date:  2019-07-15

Review 6.  Pathobiological functions and clinical implications of annexin dysregulation in human cancers.

Authors:  Llara Prieto-Fernández; Sofía T Menéndez; María Otero-Rosales; Irene Montoro-Jiménez; Francisco Hermida-Prado; Juana M García-Pedrero; Saúl Álvarez-Teijeiro
Journal:  Front Cell Dev Biol       Date:  2022-09-28

7.  Cell-free DNA analysis reveals POLR1D-mediated resistance to bevacizumab in colorectal cancer.

Authors:  Qing Zhou; Samantha O Perakis; Peter Ulz; Sumitra Mohan; Jakob M Riedl; Emina Talakic; Sigurd Lax; Martin Tötsch; Gerald Hoefler; Thomas Bauernhofer; Martin Pichler; Armin Gerger; Jochen B Geigl; Ellen Heitzer; Michael R Speicher
Journal:  Genome Med       Date:  2020-02-22       Impact factor: 11.117

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