Evidence map›Paper›PMID 29896284›Full record

ArticleJournal of Cancer2018

Development Of A Three-Gene Prognostic Signature For Hepatitis B Virus Associated Hepatocellular Carcinoma Based On Integrated Transcriptomic Analysis.

Yao Yang, Qian Lu, Xuejun Shao, Banghui Mo, Xuqiang Nie, Wei Liu, Xianhua Chen, Yuan Tang, Youcai Deng, Jun Yan

Abstract read
In one paragraph

Article in Journal of Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

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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

10 authors.

Yao YangInstitute of Materia Medica, College of Pharmacy, Army Medical University (Third Military Medical University), Chongqing 400038, China.
Qian LuCenter of Hepatobiliary Pancreatic Disease, Beijing Tsinghua Changgung Hospital, Beijing 102218, China.
Xuejun ShaoBrigade 315th of Territorial Defense Force, Chinese People's Liberation Army Ground Force, Xishuangbanna District, Yunan 666200, China.
Banghui MoInstitute of Materia Medica, College of Pharmacy, Army Medical University (Third Military Medical University), Chongqing 400038, China.
Xuqiang NieInstitute of Materia Medica, College of Pharmacy, Army Medical University (Third Military Medical University), Chongqing 400038, China.
Wei LiuHealth Physical Examination Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China.
Xianhua ChenDiagnosis and Treatment Center for Servicemen, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China.
Yuan TangInstitute of Materia Medica, College of Pharmacy, Army Medical University (Third Military Medical University), Chongqing 400038, China.
Youcai DengInstitute of Materia Medica, College of Pharmacy, Army Medical University (Third Military Medical University), Chongqing 400038, China.
Jun YanCenter of Hepatobiliary Pancreatic Disease, Beijing Tsinghua Changgung Hospital, Beijing 102218, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integration of public genome-wide gene expression data together with Cox regression analysis is a powerful weapon to identify new prognostic gene signatures for cancer diagnosis and prognosis. Hepatitis B virus (HBV) is a major cause of hepatocellular carcinoma (HCC), however, it remains largely unknown about the specific gene prognostic signature of HBV-associated HCC. Using Robust Rank Aggreg (RRA) method to integrate seven whole genome expression datasets, we identified 82 up-regulated genes and 577 down-regulated genes in HBV-associated HCC patients. Combination of several enrichment analysis, univariate and multivariate Cox proportional hazards regression analysis, we revealed that a three-gene (SPP2, CDC37L1, and ECHDC2) prognostic signature could act as an independent prognostic indicator for HBV-associated HCC in both the discovery cohort and the internal testing cohort. Gene set enrichment analysis showed that the high-risk group with lower expression levels of the three genes was enriched in bladder cancer and cell cycle pathway, whereas the low-risk group with higher expression levels of the three genes was enriched in drug metabolism-cytochrome P450, PPAR signaling pathway, fatty acid and histidine metabolisms. This indicates that patients of HBV-associated HCC with higher expression of these three genes may preserve relatively good hepatic cellular metabolism and function, which may also protect HCC patients from persistent drug toxicity in response to various medication. Our findings suggest a three-gene prognostic model that serves as a specific prognostic signature for HBV-associated HCC.

Indexed as

Hepatitis B virus associated hepatocellular carcinomaHub genesOverall survival.Prognostic signatureRobust Rank Aggreg analysis

Identifiers

PMID29896284
PMCPMC5995946

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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.