Literature DB >> 22941172

The survival impact of XPA and XPC genetic polymorphisms on patients with esophageal squamous cell carcinoma.

Pei-Wen Yang1, Ching-Yueh Hsieh, Fang-Tzu Kuo, Pei-Ming Huang, Hsao-Hsun Hsu, Shuenn-Wen Kuo, Jin-Shing Chen, Jang-Ming Lee.   

Abstract

BACKGROUND: The purpose of this study was to investigate the association between survival outcome of esophageal cancer patients and the genetic variants in xeroderma pigmentosum groups A (XPA) and C (XPC), 2 important molecules in the nucleotide excision pathway for DNA repair.
METHODS: A total of 501 patients with a diagnosis of esophageal squamous cell carcinoma (ESCC) were enrolled in the study. The genetic variants of XPA in 5'UTR and those of XPC at exon 15 K939Q were analyzed with the TaqMan assay from the genomic DNA of peripheral leukocytes and correlated to the posttreatment survival outcome.
RESULTS: Patients with XPA 5'UTR A/G and XPC K939Q C/C genotypes were found to be imposed with a higher risk of mortality after treatment compared with patients with wild-type homozygous genotypes [adjusted HR (95 % CI) of death being 1.36 (1.06-1.74) and 1.34 (0.97-1.83), respectively]. Cox's multivariate analysis detected a statistically significant increased trend in risk of mortality with the accumulation of any of these 2 unfavorable genotypes compared with patients with other genotypes [adjusted HR (95 % CI) = 1.29 (1.08-1.53), P = .005]. The effect was more pronounced in the population treated with esophagectomy (P = .023) and undergoing concurrent neoadjuvant chemoradiotherapy (CCRT) (P = .002).
CONCLUSIONS: The hereditary genetic variants in XPA and XPC can serve as independent predictors of the clinical outcome of patients with ESCC, especially in those who are treated with esophagectomy and undergo chemoradiation.

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Year:  2012        PMID: 22941172     DOI: 10.1245/s10434-012-2622-x

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  14 in total

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Journal:  Pharmacogenomics J       Date:  2017-06-13       Impact factor: 3.550

2.  Genetic prediction of long-term survival after neoadjuvant chemoradiation in locally advanced esophageal cancer.

Authors:  M Gusella; S Giacopuzzi; L Bertolaso; A Zanoni; E Pezzolo; Y Modena; D Menon; P Paganin; J Weindelmayer; G Crepaldi; G De Manzoni; F Pasini
Journal:  Pharmacogenomics J       Date:  2016-03-01       Impact factor: 3.550

Review 3.  Germline and somatic genetic predictors of pathological response in neoadjuvant settings of rectal and esophageal cancers: systematic review and meta-analysis.

Authors:  L E Salnikova; D S Kolobkov
Journal:  Pharmacogenomics J       Date:  2015-06-30       Impact factor: 3.550

Review 4.  Translational research in thoracic surgery-the National Taiwan University Hospital experience.

Authors:  Mong-Wei Lin; Pei-Wen Yang; Jang-Ming Lee
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6.  What's your poison? Impact of individual repair capacity on the outcomes of genotoxic therapies in cancer. Part II - information content and validity of biomarkers for individual repair capacity in the assessment of outcomes of anticancer therapy.

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7.  MicroRNA-346 facilitates cell growth and metastasis, and suppresses cell apoptosis in human non-small cell lung cancer by regulation of XPC/ERK/Snail/E-cadherin pathway.

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8.  Decomposing the subclonal structure of tumors with two-way mixture models on copy number aberrations.

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Journal:  PLoS One       Date:  2018-12-12       Impact factor: 3.240

Review 9.  A systematic review and meta-analysis of somatic and germline DNA sequence biomarkers of esophageal cancer survival, therapy response and stage.

Authors:  J M Findlay; M R Middleton; I Tomlinson
Journal:  Ann Oncol       Date:  2014-09-11       Impact factor: 32.976

10.  Visible-absorption spectroscopy as a biomarker to predict treatment response and prognosis of surgically resected esophageal cancer.

Authors:  Pei-Wen Yang; I-Jen Hsu; Chun-Wei Chang; Yu-Chia Wang; Ching-Yueh Hsieh; Kuan-Hui Shih; Li-Fan Wong; Nai-Yu Shih; Min-Shu Hsieh; Max Ti-Kuang Hou; Jang-Ming Lee
Journal:  Sci Rep       Date:  2016-09-14       Impact factor: 4.379

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