Evidence map›Paper›PMID 34956967›Full record

ArticleJournal of hepatocellular carcinoma2021

Key Candidate Prognostic Biomarkers Correlated with Immune Infiltration in Hepatocellular Carcinoma.

Zenghua Deng, Kanghua Huang, Dongfang Liu, Nan Luo, Tingting Liu, Long Han, Dexiao Du, Dongbo Lian, Zhaohui Zhong, Jirun Peng

Open access · goldAbstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Structure and mechanism of the KNature communications · 2024
    Article
  5. Article
  6. New insights into T-cell exhaustion in liver cancer: from mechanism to therapy.Journal of cancer research and clinical oncology · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Review
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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 at 3 institutions in 1 country.

Zenghua Deng *Department of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
Kanghua Huang *Department of Radiation Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, People's Republic of China.ORCID 0000-0003-4504-080X
Dongfang LiuDepartment of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
Nan LuoDepartment of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
Tingting LiuDepartment of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
Long HanDepartment of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
Dexiao DuDepartment of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
Dongbo LianDepartment of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
Zhaohui ZhongDepartment of General Surgery, Peking University People's Hospital, Beijing, 100044, People's Republic of China.
Jirun PengDepartment of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
Capital Medical University · CNPeking University · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer, which causes ~800,000 deaths annually world-wide. Immune checkpoint inhibitor (ICI) has reformed cancer therapy and achieved unprecedented results in various malignancies, including HCC. However, the response rate of immunotherapy is very low in HCC. Considereing the complicated and unique immune status in liver, we hypothesize that critical molecules will affect prognosis and correlate with immune context in the tumor microenvironment of HCC.

methodsUsing Kaplan-Meier plotter, GEPIA2 and Integrative Molecular Database of Hepatocellular Carcinoma (HCCDB), survival genes and their prognostic value were estimated in HCC. Based on Tumor Immune Estimation Resource (TIMER), association between survival genes and immune infiltration was examined in HCC. FunRich and STRING were used to analyze gene ontology and protein-protein interaction (PPI) Network, qRT-PCR was used to measure mRNA level of candidates; and a Cell Counting Kit-8 was used to measure proliferation of HCC cell line.

resultsUsing multiple databases, we identified 36 key prognostic genes highly expressed in HCC and associated with poor survival of patients. Meanwhile, the 36 gene signatures correlated with immune infiltration in HCC. Moreover, these genes were significantly associated with exhausted T cells and polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) in HCC. Among the 36 key genes, SKA3, SGOL2, SPINDOC, TEDC2, TMCO3 and NUP205 were highly expressed in tumor samples compared with adjacent normal tissues in our HCC cohort (n=22). Additionally, proliferation of SMMC7721 cell line was inhibited when it interfered with SiRNA of each gene.

conclusionThe 36 genes may serve as potential prognostic biomarkers and molecular targets to ameliorate tumor immune microenvironment (TIME) in HCC and therefore represent a novel avenue for individualized immunotherapy in HCC.

Indexed as

exhausted T cellHCCimmune infiltratesMDSCprognosis

Identifiers

PMID34956967
PMCPMC8694277
OpenAlexW4200587779

What OpenQuestion holds

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Registered trials

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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.