Evidence map›Paper›PMID 40605042›Full record

ArticleJournal of translational medicine2025

Metabolic, transcriptomic, and proteomic adaptations in pancreatic ductal adenocarcinoma-patient derived xenograft models across serial passages.

Pengfei Guo, Haizong Fang, Han Shi, Junrong Zhang, Ge Song, Chongjiu Fan, Xinyu Qiu, Xianchao Lin, Shi Wen, Jianghua Feng and 2 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 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
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  4. Observational
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.

Pengfei Guo *Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, 361005, China.
Haizong Fang *Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
Han ShiDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
Junrong ZhangDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
Ge SongDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, 361005, China.
Chongjiu FanDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
Xinyu QiuDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
Xianchao LinDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
Shi WenDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
Jianghua FengDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, 361005, China. jianghua.feng@xmu.edu.cn.ORCID 0000-0001-8899-2750
Heguang HuangDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China. huangheguang@fjmu.edu.cn.
Tianhong TengDepartment of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China. tianhongteng24@163.com.

Funding

Excellent Young Scholars Cultivation Project of Fujian Medical University Union Hospital 2022XH028Fujian Provincial Health Technology Project 2020GGA037National Natural Science Foundation of China 82103689Natural Science Foundation of Fujian Province 2022J01751United Fujian Provincial Health and Education Project for Tackling the Key Research 2019-WJ-07
6 · The paper itself

Abstract

backgroundPatient-derived xenograft (PDX) models are crucial for tumor biology and therapeutic response evaluations. The metabolic, transcriptomic, and proteomic changes in PDX models derived from pancreatic ductal adenocarcinoma (PDAC) during serial passaging remain poorly understood.

methodsWe established 33 PDX models from 43 PDAC patients and collected 40 benign pancreatic tissues as controls for metabolomic analysis using

resultsPDX tumors closely mirrored primary tumors in metabolic characteristics, maintaining key metabolic features of PDAC with minor variations in amino acid metabolism, particularly glutamine and aspartate levels. PDX-2 and PDX-3 showed dysregulation in aminoacyl-tRNA biosynthesis and glycine, serine, and threonine metabolism. DEGs progressively increased across passages, with later-generation PDX models exhibiting transcriptional dysregulation, including enhanced MAPK signaling activity and reduced immune-related pathway expression. Proteomic analysis identified five consistently altered proteins (ZDHHC20, ZNF644, GNL2, PDGFRB, INO80E), indicative of enhanced signal transduction, cell cycle regulation, and DNA repair. Gene-protein interaction analysis identified four core functional modules involved in protein degradation, DNA repair, ribosome biogenesis, and inflammatory response.

conclusionPDX models undergo adaptive changes during serial passaging while retain primary tumor characteristics, making them a valuable tool for understanding tumor evolution and informing therapeutic strategies, provided that passage-related drift is carefully considered.

Indexed as

Adaptation, PhysiologicalCarcinoma, Pancreatic DuctalPancreatic NeoplasmsProteomeProteomicsTranscriptomeXenograft Model Antitumor AssaysAgedAnimalsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiceMiddle AgedProteomeMulti-omics analysisPancreatic ductal adenocarcinomaPatient-derived xenograft modelsSerial passagingTumor microenvironment

Identifiers

PMID40605042
PMCPMC12224833

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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.