Evidence map›Paper›PMID 39082649›Full record

ArticleBriefings in bioinformatics2024

Identifying cell type-specific transcription factor-mediated activity immune modules reveal implications for immunotherapy and molecular classification of pan-cancer.

Feng Li, Jingwen Wang, Mengyue Li, Xiaomeng Zhang, Yongjuan Tang, Xinyu Song, Yifang Zhang, Liying Pei, Jiaqi Liu, Chunlong Zhang and 3 more

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Feng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Jingwen WangCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Mengyue LiCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Xiaomeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Yongjuan TangCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Xinyu SongCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Yifang ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Liying PeiCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Jiaqi LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.
Chunlong ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.ORCID 0000-0002-1164-8182
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.ORCID 0000-0002-9794-2648
Yanjun XuCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.ORCID 0000-0002-6552-4476
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, 157 Baojian Road, Harbin, China.ORCID 0000-0002-3709-3656

Funding

China Brain Project 2021ZD0202403China Postdoctoral Science Foundation 2019 M661295China Postdoctoral Science Special Foundation 2020 T130162Heilongjiang Touyan Innovation Team ProgramNational Natural Science Foundation of China 62172131Natural Science Foundation of Heilongjiang Province LH2022F042
6 · The paper itself

Abstract

Systematic investigation of tumor-infiltrating immune (TII) cells is important to the development of immunotherapies, and the clinical response prediction in cancers. There exists complex transcriptional regulation within TII cells, and different immune cell types display specific regulation patterns. To dissect transcriptional regulation in TII cells, we first integrated the gene expression profiles from single-cell datasets, and proposed a computational pipeline to identify TII cell type-specific transcription factor (TF) mediated activity immune modules (TF-AIMs). Our analysis revealed key TFs, such as BACH2 and NFKB1 play important roles in B and NK cells, respectively. We also found some of these TF-AIMs may contribute to tumor pathogenesis. Based on TII cell type-specific TF-AIMs, we identified eight CD8+ T cell subtypes. In particular, we found the PD1 + CD8+ T cell subset and its specific TF-AIMs associated with immunotherapy response. Furthermore, the TII cell type-specific TF-AIMs displayed the potential to be used as predictive markers for immunotherapy response of cancer patients. At the pan-cancer level, we also identified and characterized six molecular subtypes across 9680 samples based on the activation status of TII cell type-specific TF-AIMs. Finally, we constructed a user-friendly web interface CellTF-AIMs (http://bio-bigdata.hrbmu.edu.cn/CellTF-AIMs/) for exploring transcriptional regulatory pattern in various TII cell types. Our study provides valuable implications and a rich resource for understanding the mechanisms involved in cancer microenvironment and immunotherapy.

Indexed as

ImmunotherapyNeoplasmsTranscription FactorsCD8-Positive T-LymphocytesComputational BiologyGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingTranscription Factorssingle celltranscriptional regulationtranscription factortumor microenvironment

Identifiers

PMID39082649
PMCPMC11289680

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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.