Evidence map›Paper›PMID 31568700›Full record

ArticleCancer medicine2019

MIR155HG is a prognostic biomarker and associated with immune infiltration and immune checkpoint molecules expression in multiple cancers.

Lirong Peng, Zhanfei Chen, Yiyin Chen, Xiaoqian Wang, Nanhong Tang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

92 citing papers in PubMed, 140 citations in OpenAlex.

  1. Review
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  3. Expression of MIR155HG, LOC283856, KIAA0125, and LOC100190986 as potential prognostic and predictive biomarkers for breast cancer.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
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  10. Genome-wide transcriptome differences associated with perceived discrimination in an urban, community-dwelling middle-aged cohort.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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  18. The recruitment of CD8Cell death discovery · 2024
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32 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Lirong PengDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Zhanfei ChenDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Yiyin ChenDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Xiaoqian WangDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Nanhong TangDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID 0000-0002-3960-4018
Fujian Medical University · CN

Funding

Medical Innovation Project of Fujian Province 2017-CX-19National Clinical Key Specialty Construction Project (General Surgery) of China [2012]649Natural Science Foundation of Fujian Province 2018J01296Scientific and Technological Innovation Joint Capital Projects of Fujian Province 2017Y9100Startup Fund for Scientific Research of Fujian Medical University 2017XQ2022
6 · The paper itself

Abstract

In recent years, immune checkpoint inhibitor has achieved remarkable success in multiple cancer treatment. However, how to pre-judge which patients are suitable for immune checkpoint inhibitor is a difficult problem. We use the existing public bioinformatics database to comprehensively analyze the relationship between clinical data of various cancers with immune checkpoint blocking molecules and long non-coding RNAs (lncRNAs), and try to find the potential predictive value of lncRNA for immunotherapy with checkpoint inhibitors. In this study, we found that: (a) high expression of lncRNA MIR155 host gene (MIR155HG) was closely related to better overall survival (OS) in cholangiocarcinoma (CHOL), lung adenocarcinoma (LUAD), and skin cutaneous melanoma (SKCM), and have better disease-free survival (DFS) in CHOL. Meanwhile, the high level of MIR155HG was associated with poorer OS in glioblastoma multiforme (GBM), kidney renal clear cell carcinoma (KIRC), brain lower grade glioma (LGG), and uveal melanoma (UVM). (b) The expression of MIR155HG was significantly correlated with infiltrating levels of immune cells and immune molecules, especially with immune checkpoint molecules such as programmed cell death protein 1 (PD-1), PD-1 ligand 1 (PD-L1), and cytotoxic T lymphocyte-associated antigen 4 (CTLA4) in most kinds of cancers. (c) Detection of clinical CHOL and liver hepatocellular carcinoma tissues confirmed that there was a strong positive correlation between MIR155HG expression and the levels of CTLA4 and PD-L1. MIR155 host gene can be used as a prognostic marker in multiple cancers, and of great value in predicting the curative effect of immune checkpoint inhibitor therapy owing to it is closely related with immune cells infiltration and immune checkpoint molecules expression.

Indexed as

B7-H1 AntigenBiomarkers, TumorCTLA-4 AntigenDisease-Free SurvivalGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMicroRNAsNeoplasmsPrognosisProgrammed Cell Death 1 ReceptorRNA, Long NoncodingRNA-SeqB7-H1 AntigenBiomarkers, TumorCD274 protein, humanCTLA-4 AntigenCTLA4 protein, humanMicroRNAsMIRN155 microRNA, humanPDCD1 protein, humanProgrammed Cell Death 1 ReceptorRNA, Long Noncodingcancerimmune checkpointlncRNA MIR155HGprognosis

Identifiers

PMID31568700
PMCPMC6885872
OpenAlexW2978810676

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.