Evidence map›Paper›PMID 39001391›Full record

ReviewCancers2024

Personalized Medicine in Pancreatic Cancer: The Promise of Biomarkers and Molecular Targeting with Dr. Michael J. Pishvaian.

Viviana Cortiana, Rabab Hunaid Abbas, Harshal Chorya, Jade Gambill, Diksha Mahendru, Chandler H Park, Yan Leyfman

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Impact of Tumor Genomic Profile on Adjuvant Chemotherapy Efficacy in Resected Pancreatic Adenocarcinoma: Results From the PRODIGE-24/CCTG PA6 Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
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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.

Viviana CortianaDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy.ORCID 0009-0002-8764-9218
Rabab Hunaid AbbasTbilisi State Medical University, 0186 Tbilisi, Georgia.ORCID 0000-0002-5516-6310
Harshal ChoryaMedical College Baroda, Vadodara 390018, India.ORCID 0000-0002-4243-8057
Jade GambillParker University, Dallas, TX 75229, USA.ORCID 0009-0007-4082-9189
Diksha MahendruGlobal Remote Research Scholars Program, St. Paul, MN 55101, USA.
Chandler H ParkNorton Cancer Institute, Louisville, KY 40202, USA.
Yan LeyfmanIcahn School of Medicine at Mount Sinai South Nassau, Oceanside, NY 11572, USA.ORCID 0000-0002-9331-1857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer, with its alarming rising incidence, is predicted to become the second deadliest type of solid tumor by 2040, highlighting the urgent need for improved diagnostic and treatment strategies. Despite medical advancements, the five-year survival rate for pancreatic cancer remains about 14%, dropping further when metastasized. This review explores the promise of biomarkers for early detection, personalized treatment, and disease monitoring. Molecular classification of pancreatic cancer into subtypes based on genetic mutations, gene expression, and protein markers guides treatment decisions, potentially improving outcomes. A plethora of clinical trials investigating different strategies are currently ongoing. Targeted therapies, among which those against CLAUDIN 18.2 and inhibitors of Claudin 18.1, have shown promise. Next-generation sequencing (NGS) has emerged as a powerful tool for the comprehensive genomic analysis of pancreatic tumors, revealing unique genetic alterations that drive cancer progression. This allows oncologists to tailor therapies to target specific molecular abnormalities. However, challenges remain, including limited awareness and uptake of biomarker-guided therapies. Continued research into the molecular mechanisms of pancreatic cancer is essential for developing more effective treatments and improving patient survival rates.

Indexed as

biomarkersearly detectiongenetic mutationsgermline testingnext-generation sequencing (NGS)pancreatic cancerpersonalized medicine

Identifiers

PMID39001391
PMCPMC11240738

What OpenQuestion holds

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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.