Evidence map›Paper›PMID 34568062›Full record

ArticleFrontiers in oncology2021

Tumor Mutation Burden-Associated LINC00638/miR-4732-3p/ULBP1 Axis Promotes Immune Escape

Feng Qi, Xiaojing Du, Zhiying Zhao, Ding Zhang, Mengli Huang, Yuezong Bai, Biwei Yang, Wenxing Qin, Jinglin Xia

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-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

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Deciphering the multifaceted role ofFrontiers in immunology · 2025
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  5. GABPA-Mediated Expression of HPN-AS1 Facilitates Cell Apoptosis and Inhibits Cell Proliferation in Hepatocellular Carcinoma by Promoting eIF4A3 Degradation.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
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  8. Heliyon · 2023
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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

9 authors at 3 institutions in 1 country.

Feng QiLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaojing DuMinhang Branch, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhiying ZhaoLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Ding ZhangThe Medical Department, 3D Medicines Inc., Shanghai, China.
Mengli HuangThe Medical Department, 3D Medicines Inc., Shanghai, China.
Yuezong BaiThe Medical Department, 3D Medicines Inc., Shanghai, China.
Biwei YangLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenxing QinDepartment of Oncology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Jinglin XiaLiver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhongshan Hospital · CNFudan University · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor mutation burden (TMB) is associated with immune infiltration, while its underlying mechanism in hepatocellular carcinoma (HCC) remains unclear. A long noncoding RNA (lncRNA)-related competitive endogenous RNA (ceRNA) network can regulate various tumor behaviors, and research about its correlation with TMB and immune infiltration is warranted. Data were downloaded from TCGA and ArrayExpress databases. Cox analysis and machine learning algorithms were employed to establish a lncRNA-based prognostic model for HCC. We then developed a nomogram model to predict overall survival and odds of death for HCC patients. The association of this prognostic model with TMB and immune infiltration was also analyzed. In addition, a ceRNA network was constructed by using DIANA-LncBasev2 and the starBase database and verified by luciferase reporter and colocalization analysis. Multiplex immunofluorescence was applied to determine the correlation between ULBP1 and PD-L1. An eight-lncRNA (SLC25A30-AS1, HPN-AS1, LINC00607, USP2-AS1, HCG20, LINC00638, MKLN1-AS and LINC00652) prognostic score model was constructed for HCC, which was highly associated with TMB and immune infiltration. Next, we constructed a ceRNA network, LINC00638/miR-4732-3p/ULBP1, that may be responsible for NK cell infiltration in HCC with high TMB. However, patients with high ULBP1 possessed a poorer prognosis. Using multiplex immunofluorescence, we found a significant correlation between ULBP1 and PD-L1 in HCC, and patients with high ULBP1 and PD-L1 had the worst prognosis. In brief, the eight-lncRNA model is a reliable tool to predict the prognosis of HCC patients. The LINC00638/miR-4732-3p/ULBP1 axis may regulate immune escape

Indexed as

hepatocellular carcinomaLINC00638PD-L1tumor mutation burdenULBP1

Identifiers

PMID34568062
PMCPMC8456090
OpenAlexW3197133995

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.