Evidence map›Paper›PMID 25628948›Full record

ArticleAmerican journal of cancer research2015

Epidermal growth factor receptor pathway polymorphisms and the prognosis of hepatocellular carcinoma.

Wenjia Wang, Xiao-Pin Ma, Zhuqing Shi, Pengyin Zhang, Dong-Lin Ding, Hui-Xing Huang, Hexi Ge Saiyin, Tao-Yang Chen, Pei-Xin Lu, Neng-Jin Wang and 6 more

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 29 citations in OpenAlex.

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  18. High pretreatment neutrophil-lymphocyte ratio predicts recurrence and poor prognosis for combined small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Wenjia WangState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China ; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Epidemiology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Translational Medicine and Prevention, School of Public Health, Fudan University Shanghai, China.
Xiao-Pin MaState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China.
Zhuqing ShiState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China ; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Epidemiology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Translational Medicine and Prevention, School of Public Health, Fudan University Shanghai, China.
Pengyin ZhangState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China ; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Epidemiology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Translational Medicine and Prevention, School of Public Health, Fudan University Shanghai, China.
Dong-Lin DingState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China.
Hui-Xing HuangState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China.
Hexi Ge SaiyinState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China.
Tao-Yang ChenQidong Liver Cancer Institute, Qidong People's Hospital Qidong, Jiangsu, China.
Pei-Xin LuQidong Liver Cancer Institute, Qidong People's Hospital Qidong, Jiangsu, China.
Neng-Jin WangQidong Liver Cancer Institute, Qidong People's Hospital Qidong, Jiangsu, China.
Hongjie YuState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China ; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Epidemiology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Translational Medicine and Prevention, School of Public Health, Fudan University Shanghai, China.
Jielin SunCenter for Cancer Genomics, Wake Forest University School of Medicine Winston-Salem, North Carolina, USA.
S Lilly ZhengCenter for Cancer Genomics, Wake Forest University School of Medicine Winston-Salem, North Carolina, USA.
Long YuState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China ; Institute of Biomedical Science, Fudan University Shanghai, China.
Jianfeng XuState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China ; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Epidemiology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Translational Medicine and Prevention, School of Public Health, Fudan University Shanghai, China ; Fudan Institute of Urology, Huashan Hospital, Fudan University Shanghai, China ; Center for Genomic Cancer Research, North Shore University Health System Evanston, IL, USA.
De-Ke JiangState Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China ; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Epidemiology, School of Life Sciences, Fudan University Shanghai, China ; Center for Genetic Translational Medicine and Prevention, School of Public Health, Fudan University Shanghai, China ; Center for Cancer Genomics, Wake Forest University School of Medicine Winston-Salem, North Carolina, USA.
Wake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The EGFR signaling pathway is important in the control of vital processes in the carcinogenesis of hepatocellular carcinoma (HCC), including cell survival, cell cycle progression, tumor invasion and angiogenesis. In the current study, we aim to assess if genetic variants in the genes of the EGFR signaling pathway are associated with the prognosis of HCC. We genotyped 36 single nucleotide polymorphisms (SNP) in four core genes (EGF, EGFR, VEGF, and VEGFR2) by using DNA from blood samples of 363 HCC patients with surgical resection. The associations between genotypes and overall survival (OS) and disease-free survival (DFS) were estimated using the Kaplan-Meier method. Hazard ratios (HRs) and 95% confident intervals (CIs) were estimated for the multivariate survival analyses by Cox proportional hazards regression models, adjusting for age, gender, family history, HBsAg and AFP. We found that five SNPs in the VEGFR2 gene were significantly associated with clinical outcomes of HCC patients. Among them, four SNPs (rs7692791, rs2305948, rs13109660, rs6838752) were associated with OS (p=0.035, 0.038, 0.029 and 0.028, respectively), and two SNPs (rs7692791 and rs2034965) were associated with DFS (p=0.039 and 0.017, respectively). Particularly, rs7692791 TT genotype was associated with both reduced OS (p=0.037) and DFS (p=0.043). However, only one SNP rs2034965 with the AA genotype was shown to be an independent effect on DFS (p=0.009) in the multivariate analysis. None of the other 31 polymorphisms or 9 haplotypes attained from the four genes was significantly associated with OS or DFS. Our results illustrated the potential use of VEGFR2 polymorphisms as prognostic markers for HCC patients.

Indexed as

EGFEGFRgenetic polymorphismsHepatocellular carcinomasurvivalVEGFVEGFR2

Identifiers

PMID25628948
PMCPMC4300692
OpenAlexW1540590525

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.