Evidence map›Paper›PMID 37736789›Full record

ArticleJournal of cancer research and clinical oncology2023

Construction of an anoikis‒related prognostic signature to predict immunotherapeutic response and prognosis in hepatocellular carcinoma.

Chen Xiong, Guoqiang Pan, Hanchao Wang, Guangxiao Meng, Lunjie Yan, Ruizhe Li, Yuchuan Yan, Yafei Yang, Xiao Zhang, Chuncheng Yang and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

12 authors at 2 institutions in 1 country.

Chen XiongDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Guoqiang PanDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Hanchao WangInstitute for Financial Studies, Shandong University, Jinan, 250100, China.
Guangxiao MengDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Lunjie YanDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Ruizhe LiDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Yuchuan YanDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Yafei YangDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Xiao ZhangDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Chuncheng YangDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China.
Zhaoru DongDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China. dongzhaoru0911@163.com.
Tao LiDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250100, China. litao7706@163.com.ORCID http://orcid.org/0000-0002-5108-1774
Qilu Hospital of Shandong University · CNShandong University · CN

Funding

China Postdoctoral Science Foundation 2022T150385Jinan University Innovation Team Independent Training Fund 2020GXRC023Major basic research of Shandong Provincial Natural Science Foundation ZR202105070027National Natural Science Foundation of China 82172647, 82073200, 81874178Shandong Provincial Taishan Scholars Expert Program tstp20221158
6 · The paper itself

Abstract

purposeAnoikis resistance is an important inducer of tumor metastasis. The role of anoikis-related genes (ARGs) in hepatocellular carcinoma (HCC) remains unclear.

methodsA list of ARGs was obtained and regression analysis was employed to assemble an anoikis-related prognostic signature and risk score formula from mRNA data and clinical prognostic data downloaded from The Cancer Genome Atlas database. Quantitative real-time PCR (qRT-PCR) was performed on clinical samples to validate the selected ARGs expressions. Kaplan‒Meier curves, ROC curves, and Cox regression analyses were used to demonstrated the prognostic value of this signature. Biological functional enrichment analysis and immune infiltration analysis were utilized to analyze the differences in potential biological functions, immune cell infiltration, immune functions, and immunotherapeutic responses.

resultsA prognostic signature based on 6 ARGs and corresponding prognostic nomogram were established. Our qRT-PCR results showed a higher expression of 6 ARGs in HCC tissues (p value < 0.05). Kaplan‒Meier curves, ROC curves, and Cox regression analyses demonstrated good prognostic value of the signature in HCC (p value < 0.05). Significant differences between the enriched biological functions and immune landscapes of patients in different risk groups were discovered (p value < 0.05). In addition, patients with higher risk scores possibly had poor therapeutic response to transhepatic arterial chemotherapy and embolization or sorafenib, but their responses to immunotherapy might be more effective.

conclusionA successful anoikis-related prognostic signature and corresponding clinical nomogram were established, which might facilitate better predictions of prognosis and therapeutic responses for HCC patients.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAnoikisHumansImmunotherapyPrognosisAnoikisHepatocellular carcinomaImmunotherapyPrognosticSignature

Identifiers

PMID37736789
PMCPMC11797789
OpenAlexW4386944081

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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.