Evidence map›Paper›PMID 42028237›Full record

ArticleComputational and structural biotechnology journal2026

MUC13-Associated Molecular Interactome in Pancreatic Cancer.

Anupam Dhasmana, Swati Dhasmana, Rajasekhar Baru, Abigail Gomez, Shafiul Haque, Sheema Khan, Murali M Yallapu, Subhash C Chauhan

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Anupam DhasmanaDivision of Immunology and Microbiology, Department of Medicine and Oncology, ISU, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.ORCID https://orcid.org/0000-0002-8042-940X
Swati DhasmanaDivision of Immunology and Microbiology, Department of Medicine and Oncology, ISU, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
Rajasekhar BaruDivision of Immunology and Microbiology, Department of Medicine and Oncology, ISU, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
Abigail GomezDivision of Immunology and Microbiology, Department of Medicine and Oncology, ISU, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
Shafiul HaqueDepartment of Nursing, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.ORCID https://orcid.org/0000-0002-2989-121X
Sheema KhanDivision of Immunology and Microbiology, Department of Medicine and Oncology, ISU, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
Murali M YallapuDivision of Immunology and Microbiology, Department of Medicine and Oncology, ISU, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.
Subhash C ChauhanDivision of Immunology and Microbiology, Department of Medicine and Oncology, ISU, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucin-13 (MUC13) has emerged as a critical molecular player involved in tumorigenesis, cancer progression, metastasis, and evasion of immune surveillance, including in pancreatic cancer. In this report, we identified MUC13 molecular interactome using an integrated immunoprecipitation and liquid chromatography-mass spectrometry (accession no. of protein data JPST004189) approach combined with systems network biology to determine its plausible functional protein-protein interaction network and associated oncogenic mechanisms. This study reveals a total of 54 key MUC13 interactor proteins (including cyclin-dependent kinase 1, catenin delta 1, Caludin-1, ErbB3-binding protein 1, basic transcription factor 3, tight junction protein 1, etc.). Interestingly, the majority of these interacting proteins is associated with oncogenic and immune checkpoint pathways. These proteins participate in the regulation of programmed cell death protein 1/programmed cell death ligand 1, T cell receptor signaling, and posttranslational protein processing and modifications in the endoplasmic reticulum. In addition, this study suggests that MUC13 may be involved in other cellular processes such as apoptosis, autophagy, senescence, calcium signaling, microRNA activity, lysosomal function, and diabetic cardiomyopathy. Taken together, this study provides the first comprehensive elucidation of the MUC13-associated molecular interactome, which may contribute to pancreatic cancer progression and metastasis. These findings may facilitate the development of new strategies to inhibit pancreatic cancer progression via disrupting MUC13-associated oncogenic molecular network.

Identifiers

PMID42028237
PMCPMC13100349

What OpenQuestion holds

Textmetadata
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.