Evidence map›Paper›PMID 41758444›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Unravelling the pathogenesis and therapeutic approaches of pancreatic ductal adenocarcinoma.

Isha Roy, Raman Thakur

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Isha RoyDepartment of Medical Laboratory Sciences, Lovely Professional University, Punjab, 144411, India.
Raman ThakurDepartment of Medical Laboratory Sciences, Lovely Professional University, Punjab, 144411, India. ramanthakurnegwal@gmail.com.ORCID http://orcid.org/0000-0003-1172-4090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the aggressive cancers having high metastasis, late progression and resistance to therapies. PDAC arises from the ductal epithelium of the pancreas. The tumour microenvironment plays a key role in metastasis. One of the reasons behind PDAC being so aggressive as a cancer is that it forms a dense stroma around the neoplastic epithelium, which contributes to further tumour progression, invasion, metastasis and drug resistance. The key components of PDAC include the extracellular matrix (ECM), cancer-associated fibroblasts (CAFs) and vasculature. The dense stroma in the ECM prevents drug penetration into cancer cells, making PDAC more challenging to treat. The oncogenic KRAS mutation is mainly responsible for the initiation, progression, immune evasion and further therapy resistance in this cancer. Despite having a low rate of survival, therapies available for this cancer are now emerging and developing rapidly. There are many more therapies now available for the treatment of PDAC, including immunotherapies, targeted gene therapies, stroma-targeting therapies and novel chemotherapies, which are much more promising in this cancer. This article focuses on the pathogenesis of PDAC and the various recent therapies used to treat it. It further discusses future perspectives in the treatment of this cancer, AI-driven therapies and challenges in this field.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsHumansImmunotherapyTumor MicroenvironmentCAFsImmunotherapiesKRAS genePancreatic cancer

Identifiers

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.