Evidence map›Paper›PMID 36980526›Full record

ReviewCancers2023

Mucins as Potential Biomarkers for Early Detection of Cancer.

Shailendra K Gautam, Parvez Khan, Gopalakrishnan Natarajan, Pranita Atri, Abhijit Aithal, Apar K Ganti, Surinder K Batra, Mohd W Nasser, Maneesh Jain

Open access · goldFull text readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. MUC15 Ectodomain Architecture Regulates Integrin Clustering to Control Cancer Metastasis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Mucin 5AC Promotes Breast Cancer Brain Metastasis through cMET/CD44v6.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Thrombus formation in cancer patients using autopsy materials: an immunohistochemical analysis.International journal of clinical and experimental pathology · 2025
    Article
  18. Review
  19. Article
  20. Review
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 1 country.

Shailendra K GautamDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Parvez KhanDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Gopalakrishnan NatarajanDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Pranita AtriDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Abhijit AithalDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Apar K GantiFred & Pamela Buffett Cancer Center, Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0000-0003-3724-2671
Surinder K BatraDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0000-0001-9470-9317
Mohd W NasserDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0000-0003-2070-4972
Maneesh JainDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0000-0002-2020-3687
University of Nebraska Medical Center · USVA Nebraska Western Iowa Health Care System · US

Funding

Pancreatic Cancer Detection ConsortiumU01CA210240 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Michael A. Hollingsworth · 2017 to 2026
$12.9M
Validation of biomarkers for risk prediction and early diagnosis of Pancreatic AdenocarcinomaU01CA200466 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Surinder K. Batra, Randall Brand · 2016 to 2026
$11.3M
Project 3: MUC16-Mediated Metabolic Reprograming Induces PC MetastasisP01CA217798 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI THAYER, SARAH P · 2018 to 2022
$8.1M
Modulation of Tumor Microenvironment for Improved Therapy of Pancreatic CancerR01CA247471 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BATRA, SURINDER K., JAIN, MANEESH · 2020 to 2024
$2.8M
Nanovaccine platforms to combat pancreatic cancerU01CA213862 · NCI · IOWA STATE UNIVERSITY · PI JAIN, MANEESH, NARASIMHAN, BALAJI · 2017 to 2021
$2.7M
Novel approach to attenuate small cell lung cancer growth and metastasisR01CA218545 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI NASSER, MOHD WASIM · 2018 to 2022
$2.6M
Targeting MUC5AC mucin in breast cancer brain metastasisR01CA241752 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI NASSER, MOHD WASIM · 2021 to 2025
$2.3M
Targeted Radiation Therapy for Pancreatic CancerR01CA195586 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BATRA, SURINDER K., JAIN, MANEESH · 2015 to 2019
$2.2M
Rac1 GTPase in tumorigenesis and progression of pancreatic cancerR01CA206444 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BATRA, SURINDER K., OUELLETTE, MICHEL M · 2016 to 2020
$1.9M
MUC4/16 assay for the early diagnosis and management of benign and malignant pancreatic diseasesR44DK117472 · NIDDK · SANGUINE DIAGNOSTICS AND THERAPEUTICS · PI JAIN, MANEESH, SASSON, AARON R · 2017 to 2019
$1.5M
Role of MUC5AC in promoting CNS metastasis in Non-Small Cell Lung CancerI01BX004676 · VA · OMAHA VA MEDICAL CENTER · PI GANTI, APAR KISHOR · 2020 to 2023
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BLRD VA I01 BX004676NCI NIH HHS P01 CA217798NCI NIH HHS R01 CA195586NCI NIH HHS R01 CA206444NCI NIH HHS R01 CA218545NCI NIH HHS R01 CA241752NCI NIH HHS R01 CA247471NCI NIH HHS U01 CA200466NCI NIH HHS U01 CA210240NCI NIH HHS U01 CA213862NIDDK NIH HHS R44 DK117472
6 · The paper itself

Abstract

Early detection significantly correlates with improved survival in cancer patients. So far, a limited number of biomarkers have been validated to diagnose cancers at an early stage. Considering the leading cancer types that contribute to more than 50% of deaths in the USA, we discuss the ongoing endeavors toward early detection of lung, breast, ovarian, colon, prostate, liver, and pancreatic cancers to highlight the significance of mucin glycoproteins in cancer diagnosis. As mucin deregulation is one of the earliest events in most epithelial malignancies following oncogenic transformation, these high-molecular-weight glycoproteins are considered potential candidates for biomarker development. The diagnostic potential of mucins is mainly attributed to their deregulated expression, altered glycosylation, splicing, and ability to induce autoantibodies. Secretory and shed mucins are commonly detected in patients' sera, body fluids, and tumor biopsies. For instance, CA125, also called MUC16, is one of the biomarkers implemented for the diagnosis of ovarian cancer and is currently being investigated for other malignancies. Similarly, MUC5AC, a secretory mucin, is a potential biomarker for pancreatic cancer. Moreover, anti-mucin autoantibodies and mucin-packaged exosomes have opened new avenues of biomarker development for early cancer diagnosis. In this review, we discuss the diagnostic potential of mucins in epithelial cancers and provide evidence and a rationale for developing a mucin-based biomarker panel for early cancer detection.

Indexed as

autoantibodiesearly cancer detectionexosomesliquid biopsiesmucin biomarker

Identifiers

PMID36980526
PMCPMC10046558
OpenAlexW4323568184

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read38
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.