Evidence mapPaperPMID 42338763Full record

ReviewDrug design, development and therapy2026

Peptides in the Diagnosis and Treatment of Pancreatic Cancer and Other Pancreatic Diseases from Basic Research to Clinical Translation.

Guangshuo Gan, Xiaonan Zhang, Yao Xu, Kunling Bai, Xiangyun Yan, Deshi Dong, Hong Xiang, Xufeng Tao

Abstract readReview
In one paragraph

Review in Drug design, development and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Guangshuo Gan *Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, People's Republic of China.
Xiaonan Zhang *Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, People's Republic of China.
Yao XuLaboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, People's Republic of China.
Kunling BaiDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, People's Republic of China.
Xiangyun YanDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, People's Republic of China.
Deshi DongDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, People's Republic of China.ORCID 0000-0003-3266-4314
Hong XiangLaboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, People's Republic of China.
Xufeng TaoDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, People's Republic of China.ORCID 0000-0002-4416-2234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptides have emerged as pivotal agents in biomedicine due to their exceptional physicochemical properties, including high binding affinity, minimal immunogenicity, and precise target specificity. This review critically examines recent advancements in peptide-based strategies for pancreatic disorders, encompassing inflammatory conditions (e.g. pancreatitis), metabolic dysfunctions (e.g. diabetes), and notably, pancreatic cancer. We delineate the evolution of peptide therapeutics, emphasizing rational drug design approaches such as backbone cyclization and N-methylation to enhance metabolic stability, complemented by computational methodologies like molecular docking and AI-driven affinity maturation to optimize target engagement. The discussion highlights key innovations, including peptide probes for early diagnostic detection and peptide-drug conjugates for targeted intervention, while evaluating their efficacy in preclinical models and assessing their biosafety profiles. Furthermore, we survey current clinical trials aimed at translating these engineered peptides into clinical applications. Concluding with a perspective on precision medicine, we outline future trajectories necessitating advanced AI-integrated design frameworks and robust clinical validation to accelerate the bench-to-bedside translation of peptide technologies.

Indexed as

Pancreatic DiseasesPancreatic NeoplasmsPeptidesAnimalsDrug DesignHumansTranslational Research, BiomedicalPeptidesclinical translationdiagnosis and therapypancreatic diseasespeptides

Identifiers

PMID42338763
PMCPMC13285915

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.