Evidence map›Paper›PMID 36828119›Full record

ArticleJournal of advanced research2024

CEACAM7 expression contributes to early events of pancreatic cancer.

Anupam Dhasmana, Swati Dhasmana, Sudhir Kotnala, Partha Laskar, Sheema Khan, Shafiul Haque, Meena Jaggi, Murali M Yallapu, Subhash C Chauhan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advanced research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. MUC13-Associated Molecular Interactome in Pancreatic Cancer.Computational and structural biotechnology journal · 2026
    Article
  3. Exploring the interactions of integrins and CEACAM6 (Review).Experimental and therapeutic medicine · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

9 authors at 2 institutions in 5 countries.

Anupam DhasmanaDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; Himalayan School of Biosciences and Cancer Research Institute, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Dehradun, India.
Swati DhasmanaDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA.
Sudhir KotnalaDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA.
Partha LaskarDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA.
Sheema KhanDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA.
Shafiul HaqueResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia; Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates; Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon.
Meena JaggiDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA.
Murali M YallapuDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA.
Subhash C ChauhanDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA; South Texas Center of Excellence in Cancer Research, School of Medicine, University of Texas Rio Grande Valley, McAllen, USA. Electronic address: subhash.chauhan@utrgv.edu.
The University of Texas Rio Grande Valley · USJazan University · SA

Funding

MUC13 Mucin in Colorectal Cancer Health DisparityR01CA204552 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2020
$1.7M
Development of Targeted Nanotechnology Platform for Pancreatic CancerR01CA206069 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
Targeted Nanotherapy for Pancreatic CancerR01CA210192 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
miR-205 Nanoparticle system circumvents docetaxel resistance in prostate cancerSC1GM139727 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI YALLAPU, MURALI MOHAN · 2021 to 2024
$1.5M
NCI NIH HHS R01 CA204552NCI NIH HHS R01 CA206069NCI NIH HHS R01 CA210192NIGMS NIH HHS SC1 GM139727
6 · The paper itself

Abstract

backgroundThe trends of pancreatic cancer (PanCa) incidence and mortality are on rising pattern, and it will be a second leading cause of cancer related deaths by 2030. Pancreatic ductal adenocarcinoma (PDAC), major form of PanCa, exhibits a grim prognosis as mortality rate is very close to the incidence rate, due to lack of early detection methods and effective therapeutic regimen. Considering this alarming unmet clinic need, our team has identified a novel oncogenic protein, carcinoembryonic antigen-related cell adhesion molecule 7 (CEACAM7), that can be useful for spotting early events of PDAC. METHODOLOGY: This study includes bioinformatics pre-screening using publicly available cancer databases followed by molecular biology techniques in PDAC progressive cell line panel and human tissues to evaluate CEACAM7 expression in early events of pancreatic cancer.

resultsPanCa gene and protein expression analysis demonstrated the significantly higher expression of CEACAM7 in PDAC, compared to other cancers and normal pancreas. Overall survival analysis demonstrated an association between the higher expression of CEACAM7 and poor patients' prognosis with high hazard ratio. Additionally, in a performance comparison analysis CEACAM7 outperformed S100A4 in relation to PDAC. We also observed an increase of CEACAM7 in PDAC cell line panel model. However, poorly differentiated, and normal cell lines did not show any expression. Human tissue analysis also strengthened our data by showing strong and positive IHC staining in early-stage tumors.

conclusionOur observations clearly cite that CEACAM7 can serve as a potential early diagnostic and/or prognostic marker of PDAC and may also potentiate the sensitivity of the existing biomarker panel of PDAC. However, further studies are warranted to determine its clinical significance.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkers, TumorCarcinoembryonic AntigenCell Adhesion MoleculesGPI-Linked ProteinsHumansPrognosisBiomarkers, TumorCarcinoembryonic AntigenCEACAM7 protein, humanCell Adhesion MoleculesGPI-Linked ProteinsCEACAM7Early detection biomarkerPancreatic cancerPDACTumor grading & bioinformatics

Identifiers

PMID36828119
PMCPMC10770095
OpenAlexW4321602050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.