Evidence map›Paper›PMID 39005682›Full record

ArticleAmerican journal of cancer research2024

Prateeti Srivastava, Vijesh Kumar Yadav, Tzu-Hao Chang, Emily Chia-Yu Su, Bashir Lawal, Alexander Th Wu, Hsu-Shan Huang

Abstract read
In one paragraph

Article in American journal of cancer research, 2024. 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. Article
  2. Article
  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

7 authors.

Prateeti SrivastavaThe Program for Translational Medicine, Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University Taipei 110, Taiwan.
Vijesh Kumar YadavDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Shuang Ho Hospital New Taipei 23561, Taiwan.
Tzu-Hao ChangGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University Taipei 110, Taiwan.
Emily Chia-Yu SuGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University Taipei 110, Taiwan.
Bashir LawalUPMC Hillman Cancer Center, University of Pittsburgh Pittsburgh, PA 15232, USA.
Alexander Th WuThe Program for Translational Medicine, Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University Taipei 110, Taiwan.
Hsu-Shan HuangGraduate Institute of Medical Sciences, National Defense Medical Center Taipei 114, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic adenocarcinoma (PAAD), known as one of the deadliest cancers, is characterized by a complex tumor microenvironment, primarily comprised of cancer-associated fibroblasts (CAFs) in the extracellular matrix. These CAFs significantly alter the matrix by interacting with hyaluronic acid (HA) and the enzyme hyaluronidase, which degrades HA - an essential process for cancer progression and spread. Despite the critical role of this interaction, the specific functions of CAFs and hyaluronidase in PAAD development are not fully understood. Our study investigates this interaction and assesses NSC777201, a new anti-cancer compound targeting hyaluronidase. This research utilized computational methods to analyze gene expression data from the Gene Expression Omnibus (GEO) database, specifically GSE172096, comparing gene expression profiles of cancer-associated and normal fibroblasts. We conducted in-house sequencing of pancreatic cancer cells treated with NSC777201 to identify differentially expressed genes (DEGs) and performed functional enrichment and pathway analysis. The identified DEGs were further validated using the TCGA-PAAD and Human Protein Atlas (HPA) databases for their diagnostic, prognostic, and survival implications, accompanied by Ingenuity Pathway Analysis (IPA) and molecular docking of NSC777201,

Indexed as

CAFsNSC777201Pancreatic adenocarcinomatransmembrane protein 2 (TMEM2)tumor microenvironment

Identifiers

PMID39005682
PMCPMC11236765

What Socratic holds

Textmetadata
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.