Evidence map›Paper›PMID 41531168›Full record

ArticleCancer science2026

Neoadjuvant Therapy-Induced Remodeling in Pancreatic Ductal Adenocarcinoma: Multimodal Spatial Analysis and Prognosis.

Xiaofei Zhang, Ruoxin Lan, Danting Li, Yongjun Liu, Sonu Kalyan, Momin Iqbal, Nancy Liu, Jerry Zhang, Iman Hanna, Mala Gupta and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
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

17 authors.

Xiaofei ZhangDepartment of Pathology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.ORCID https://orcid.org/0000-0002-0810-7254
Ruoxin LanDepartment of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Danting LiDepartment of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Yongjun LiuDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.
Sonu KalyanDepartment of Pathology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Momin IqbalDepartment of Pathology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Nancy LiuDepartment of Chemistry, University of Washington School of Medicine, Seattle, Washington, USA.
Jerry ZhangSkyline High School, Sammamish, Washington, USA.
Iman HannaDepartment of Pathology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Mala GuptaDepartment of Pathology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Chaohui L ZhaoDepartment of Pathology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Weiguo LiuDepartment of Pathology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Jonathan MelamedDepartment of Pathology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Michael ShustermanDepartment of Oncology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Jessica WidmerDepartment of Gastroenterology, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
John AllendorfDepartment of Surgery, New York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Yao-Zhong LiuDepartment of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.

Funding

NYU Grossman Long Island School of Medicine Department of Pathology Intradepartmental Research FundUniversity of Wisconsin - Madison RIDE Cancer ScholarshipUW-Madison Department of Pathology Intradepartmental R&D Fund
6 · The paper itself

Abstract

Neoadjuvant therapy (NAT) is increasingly used for pancreatic ductal adenocarcinoma (PDAC); yet most patients only achieve partial response. Pathological treatment response grading focuses on assessing residual tumor burden, often overlooking changes in tumor microenvironment (TME). To address this gap, we compared tumor cells and TME of 13 NAT-naïve and 23 post-NAT PDACs using integrated spatial pathomics and transcriptomics, with validation in an independent single-cell spatial dataset. NAT significantly reduced tumor burden (14.7%-6.2%, p = 0.004), but systemic comparison of 13 cytomorphometric features of tumor cells alone did not reliably distinguish between naïve and NAT cases. In contrast, NAT profoundly remodeled TME by increasing cancer-associated fibroblast (CAF) and CD8

Indexed as

Carcinoma, Pancreatic DuctalNeoadjuvant TherapyPancreatic NeoplasmsCancer-Associated FibroblastsCD8-Positive T-LymphocytesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisSpatial TranscriptomicsTumor Microenvironmentneoadjuvant therapy (NAT)pancreatic ductal adenocarcinoma (PDAC)spatial analysisspatial transcriptomicstumor microenvironment (TME)

Identifiers

PMID41531168
PMCPMC13045342

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.