Evidence map›Paper›PMID 40051490›Full record

ReviewHealth science reports2025

Potential of Proliferative Markers in Pancreatic Cancer Management: A Systematic Review.

Aryan Salahi-Niri, Paniz Zarand, Negar Mansouri, Parvaneh Rastgou, Omid Yazdani, Romina Esbati, Fatemeh Shojaeian, Behnaz Jahanbin, Zhaleh Mohsenifar, Hamid Asadzadeh Aghdaei and 2 more

Abstract readReview
In one paragraph

Review in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Aryan Salahi-NiriResearch, Institute for Gastroenterology and Liver Diseases Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID 0000-0002-6772-0972
Paniz ZarandResearch, Institute for Gastroenterology and Liver Diseases Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-0643-4059
Negar MansouriResearch, Institute for Gastroenterology and Liver Diseases Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0009-0007-4388-2540
Parvaneh RastgouSchool of Medicine Tabriz University of Medical Sciences Tabriz Iran.
Omid YazdaniResearch, Institute for Gastroenterology and Liver Diseases Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-0798-3308
Romina EsbatiResearch, Institute for Gastroenterology and Liver Diseases Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-7161-5948
Fatemeh ShojaeianSidney Kimmel Comprehensive Cancer Research Center Johns Hopkins School of Medicine Baltimore Maryland USA.ORCID https://orcid.org/0000-0001-5972-9953
Behnaz JahanbinCancer Institute, Pathology Department, Imam Khomeini Hospital Complex Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-2762-5591
Zhaleh MohsenifarDepartment of Pathology, Ayatollah Taleghani Educational Hospital, Faculty of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-7766-7570
Hamid Asadzadeh AghdaeiResearch, Institute for Gastroenterology and Liver Diseases Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0001-5589-8856
Farid Azmoudeh ArdalanPathology and Laboratory Medicine Department, Imam Khomeini Hospital Complex Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0003-4701-0532
Seyed Amir Ahmad Safavi-NainiResearch, Institute for Gastroenterology and Liver Diseases Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0001-9295-9283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Pancreatic cancer is an aggressive malignancy with poor prognosis and limited treatment options. Chemotherapy remains a primary therapeutic approach, but patient responses vary significantly, emphasizing the need for reliable biomarkers. This review explores the potential role of proliferative markers, including Ki-67, PCNA, Cyclin D1, and PHH3, as predictive and prognostic indicators in pancreatic cancer management, aiming to enhance personalized treatment strategies. Methods: We conducted a narrative review by searching Scopus, PubMed, and Google Scholar for studies focusing on Ki-67, PCNA, Cyclin D1, and PHH3 in relation to pancreatic cancer and chemotherapy. The literature was reviewed to evaluate the role of these markers in predicting chemotherapy response, tumor progression, and overall patient survival. Results: The review highlights the clinical significance of these markers. Ki-67 and PCNA are associated with cell proliferation, while Cyclin D1 regulates cell cycle progression and PHH3 is linked to mitotic activity. High expression levels of these markers often correlate with increased tumor aggressiveness and poorer patient outcomes. Moreover, they show promise in predicting chemotherapy response, which can inform tailored therapeutic strategies. However, challenges remain, including standardization of detection methods and determination of optimal cutoff values. Conclusion: Proliferative markers such as Ki-67, PCNA, Cyclin D1, and PHH3 hold potential as predictive and prognostic tools in pancreatic cancer management. Their integration into clinical practice could improve the accuracy of treatment decisions and enhance patient outcomes. Further research and validation are necessary to overcome existing challenges and optimize their application in personalized oncology.

Indexed as

Cyclin D1Ki‐67pancreatic cancerPCNAproliferative markers

Identifiers

PMID40051490
PMCPMC11882395

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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.