Evidence map›Paper›PMID 41016829›Full record

ArticleIET systems biology

Integrative Analysis of TLS-Associated Gene Signatures, Immune Infiltration and Drug Sensitivity in Pancreatic Cancer.

Mengzhou Gao, Guohui Li, Xin Wang, Xueyun Wang, Danning Tang, Xiang Ao, An Luo, Zhenguo Wen, Teng Wang, Zhaojun Jia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IET systems biology. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

10 authors.

Mengzhou GaoBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Guohui LiBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Xin WangBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Xueyun WangBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Danning TangBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Xiang AoSchool of Basic Medicine, Qingdao University, Qingdao, China.
An LuoBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Zhenguo WenBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Teng WangBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Zhaojun JiaBeijing Key Laboratory of Enze Biomass Fine Chemicals, College of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.ORCID 0009-0004-9300-2431

Funding

Beijing Municipal Education CommissionR&D Program of Beijing Municipal Education Commission KM202210017010
6 · The paper itself

Abstract

Pancreatic adenocarcinoma (PAAD) remains highly lethal because of chemotherapy resistance and immunosuppressive microenvironments. Tertiary lymphoid structures (TLSs) were analysed in PAAD to develop personalised therapeutic strategies. Nine TLS-related genes (CCR6, CD1d, CD79B, CETP, EIF1AY, LAT, PTGDS, RBP5 and SKAP1) were selected for integrative analysis of TLS status in relation to clinical outcomes, immune cell infiltration, tumour mutational burden (TMB) and drug resistance. High TLS scores (TLS_H) were associated with improved overall survival (OS) and progression-free survival (PFS), independent of age or tumour grade. Twelve immune cell types differed across TLSs. Single-cell RNA-seq analysis revealed that the 9 TLS-related genes were enriched in distinct immune cell populations. Combining TLS and TMB improved survival prediction. Notably, the TLS_H group demonstrated enhanced sensitivity to chemotherapeutics including AZD8055, axitinib, vorinostat, nilotinib, camptothecin and paclitaxel. Real-time fluorescent quantitative PCR (RT-qPCR) validation in Mia PaCa2 and Jurkat cells indicated that LAT, RBP5 and SKAP1 may play important roles in modulating sensitivity to these chemotherapeutics. These findings establish TLS as a potential biomarker for PAAD, enabling personalised chemotherapy selection by integrating immune contexture and genomic drivers to improve clinical outcomes.

Indexed as

Drug Resistance, NeoplasmPancreatic NeoplasmsTranscriptomeAntineoplastic AgentsCell Line, TumorGene Expression Regulation, NeoplasticHumansSingle-Cell AnalysisTumor MicroenvironmentAntineoplastic Agentsbioinformaticschemotherapy resistancepancreatic cancertertiary lymphoid structurestumour mutational burden

Identifiers

PMID41016829
PMCPMC12476925

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.