Evidence map›Paper›PMID 42411636›Full record

ReviewCancer biology & therapy2026

Integrative single-cell and spatial transcriptomic approaches to decipher the tumor microenvironment and therapeutic resistance in pancreatic cancer.

Mengting Luo, Feng Shen, Wanli Xu, Christopher Corpe, Jin Wang

Abstract readReview
In one paragraph

Review in Cancer biology & 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

5 authors.

Mengting LuoCentral Laboratory, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, People's Republic of China.ORCID 0009-0000-7553-8102
Feng ShenDepartment of Medical Oncology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, People's Republic of China.
Wanli XuCentral Laboratory, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, People's Republic of China.
Christopher CorpeDepartment of Nutritional Sciences, King's College London, London, United Kingdom.
Jin WangCentral Laboratory, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, People's Republic of China.ORCID 0000-0002-0062-2489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is among the most aggressive human malignancies and has an extremely poor prognosis. Its progression is largely driven by a highly complex and immunosuppressive tumor microenvironment (TME), highlighting the urgent need for a deeper understanding of its molecular mechanisms. Recent advances in single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have provided unprecedented opportunities to dissect cellular heterogeneity, spatial organization, and gene expression dynamics within the TME. In this review, we summarize the major scRNA-seq and ST technologies and their unique strengths in cancer research and highlight their integrated applications in revealing PDAC heterogeneity, stromal-immune interactions, and mechanisms of therapeutic resistance. We further discuss how these approaches can inform biomarker discovery and guide the development of novel therapeutic strategies. Together, these findings suggest that integrated single-cell and spatial transcriptomics offers transformative potential to advance precision oncology and improve outcomes for patients with pancreatic cancer.

Indexed as

Carcinoma, Pancreatic DuctalDrug Resistance, NeoplasmPancreatic NeoplasmsSingle-Cell AnalysisTumor MicroenvironmentAnimalsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsTranscriptomePancreatic cancerresistancescRNA-seqspatial transcriptomicsTME

Identifiers

PMID42411636
PMCPMC13348943

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Registered trials

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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.