Evidence map›Paper›PMID 32304089›Full record

ArticleHepatology international2020

Identification of prognostic claudins signature in hepatocellular carcinoma from a hepatocyte differentiation model.

Fan-En Kong, Yun-Qiang Tang, Yuan-Feng Gong, Jia-Qiang Mo, Yue Zhao, Mei-Mei Li, Wei Cheng, Hao-Long Li, Wen-Jie Zhu, Shan-Shan Liu and 4 more

Abstract read
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In one paragraph

Article in Hepatology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 24 citations in OpenAlex.

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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

14 authors at 5 institutions in 3 countries.

Fan-En KongAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Yun-Qiang TangAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Yuan-Feng GongAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Jia-Qiang MoDepartment of Hepatopancreatobiliary Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yue ZhaoGeneral, Visceral and Cancer Surgery, University Hospital of Cologne, Cologne, Germany.
Mei-Mei LiAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Wei ChengAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Hao-Long LiAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Wen-Jie ZhuAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Shan-Shan LiuAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Li HuangAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Xin-Yuan GuanAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China.
Ning-Fang MaAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China. ningfma@163.com.
Ming LiuAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, 510095, China. liuming@gzhmu.edu.cn.ORCID http://orcid.org/0000-0003-3222-8715
Guangzhou Medical University · CNGuangzhou Medical University Cancer Hospital · CNGuangzhou University of Chinese Medicine · CNUniversity Hospital Cologne · DEUniversity of Hong Kong · HK

Funding

Guangdong Province Higher Vocational Colleges and Schools Pearl River Scholar Funded Scheme 2018National Natural Science Foundation of China 81702400
6 · The paper itself

Abstract

backgroundLoss of terminal differentiation markers and gain of stem cell-like properties are a major hallmark of cancer malignant progression. Identification of novel biomarkers representing tumor developmental progeny and predictive of patients' prognosis would greatly benefit clinical cancer management.

methodsHuman embryonic stem cells were induced to differentiate into hepatocytes along hepatic lineages. Transcriptomic data from different liver developmental stages were analyzed combining with the RNA-seq data from The Cancer Genome Atlas (TCGA) project. Kaplan-Meier survival analysis and Cox regression analyses were used to analyze the clinical significance in HCC patients.

resultsA shifted expression pattern of claudin (CLDN) family genes were identified to be closely associated with liver development and tumor progression. Claudins with hepatic features were found to be significantly down-regulated and predicted better prognosis in HCC patients. Conversely, another set of claudins with embryonic stem cell features were found to be significantly up-regulated and predicted worse prognosis in HCC patients. A claudin signature score system was further established by combining the two sets of claudin genes. The newly established claudins signature could robustly predict HCC patients' prognosis in the training, testing, and independent validation cohorts.

conclusionsIn the present study, we developed a novel embryonic developmental claudins signature to monitor the extent of tumor dedifferentiation in HCC from an in vitro hepatocyte differentiation model. The claudins signature might present a great potential in predicting prognostic significance in HCC as cell surface biomarkers, and provide novel therapeutic targets for precision oncology further in the clinic.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularChinaClaudinsFemaleGene Expression Regulation, NeoplasticHepatocytesHumansKaplan-Meier EstimateLiver NeoplasmsMalePrognosisProportional Hazards ModelsBiomarkers, TumorClaudinsBiomarkerCancer stem cellsClaudinsDiagnosisEmbryonic developmentHCC differentiationHepatic featurePrognostic significanceSurvivalTumor grade

Identifiers

PMID32304089
OpenAlexW3017347737

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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.