Evidence map›Paper›PMID 37451838›Full record

ArticleAging2023

Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma.

Hong-Sheng Lin, Wen-Peng Pang, Hao Yuan, Yin-Zhi Kong, Fu-Li Long, Rong-Zhen Zhang, Li Yang, Qiao-Ling Fang, Ai-Ping Pan, Xiao-Hui Fan and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

11 authors at 2 institutions in 1 country.

Hong-Sheng LinDepartment of Microbiology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China.
Wen-Peng PangDepartment of Microbiology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China.
Hao YuanDepartment of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China.
Yin-Zhi KongDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China.
Fu-Li LongDepartment of Hepatology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China.
Rong-Zhen ZhangDepartment of Hepatology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China.
Li YangDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China.
Qiao-Ling FangDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China.
Ai-Ping PanDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China.
Xiao-Hui FanDepartment of Microbiology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China.
Ming-Fen LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China.
Guangxi University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA sensors play crucial roles in inflammation and have been indicated to be involved in antitumor or tumorigenesis, while it is still unclear whether DNA sensors have potential roles in the prognosis and immunotherapy of hepatocellular carcinoma (HCC). Herein, The Cancer Genome Atlas and Gene Expression Omnibus databases were used to analyze RNA sequencing data and clinical information. A total of 14 DNA sensors were collected and performed consensus clustering to determine their molecular mechanisms in HCC. Two distinct molecular subtypes (Clusters C1 and C2) were identified and were associated with different overall survival (OS). Immune subtype analysis revealed that C1 was mainly characterized by inflammation, while C2 was characterized by lymphocyte depletion. Immune scoring and immunomodulatory function analysis confirmed the different immune microenvironment of C1 and C2. Notably, significant differences in "Hot Tumor" Immunophenotype were observed between the two subtypes. Moreover, the prognostic model based on DNA sensors is capable of effectively predicting the OS of HCC patients. Besides, the chemotherapeutic drug analysis showed the different sensitivity of two subtypes. Taken together, our study shows that the proposed DNA sensors were a reliable signature to predict the prognosis and immunotherapy response with potential application in the clinical decision and treatment of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsDNAHumansInflammationPrognosisTumor MicroenvironmentDNADNA sensorshepatocellular carcinomaimmune microenvironmentimmunotherapyprognosis

Identifiers

PMID37451838
PMCPMC10415551
OpenAlexW4384296734

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.