Evidence mapPaperPMID 41545713Full record

ArticleNature cancer2026

Cellular neighborhoods in cancer.

Lichun Ma, Barbara Xiong, Meng Liu, Kai Tan

Abstract read
In one paragraph

Article in Nature cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Beyond DNA damage: 3D tumor models and the integrin mechanobiology of radioresistance.Journal of experimental & clinical cancer research : CR · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. 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

4 authors.

Lichun MaCancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA. lichun.ma@nih.gov.ORCID http://orcid.org/0000-0001-9809-775X
Barbara XiongGraduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-5202-1095
Meng LiuCancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-3521-4116
Kai TanDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. tank1@chop.edu.ORCID http://orcid.org/0000-0002-9104-5567

Funding

Data Analysis UnitU2CCA233285 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI HUNGER, STEPHEN PATRICK, TAN, KAI · 2018 to 2023
$13.2M
Organ Specific Project - HeartU54HL165442 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI PEI, LIMING · 2022 to 2025
$7.6M
Tumor heterogeneity in liver cancerZIABC012079 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MA, LICHUN · 2022 to 2025
$1.9M
Tumor evolution in response to treatmentZIABC012083 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MA, LICHUN · 2022 to 2025
$1.5M
Spatiotemporal evolution and ecological dynamics of acute myeloid leukemia upon chemotherapyF30CA298606 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Barbara Xiong · 2025 to 2026
$110k
Intramural NIH HHS ZIA BC012079Intramural NIH HHS ZIA BC012083NCI NIH HHS F30 CA298606NCI NIH HHS U2C CA233285NHLBI NIH HHS U54 HL165442U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) F30CA298606U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U2CCA233285U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) U54HL165442
6 · The paper itself

Abstract

The concept of cellular neighborhoods, defined as recurring structures within the tissue with characteristic cell compositions and interactions, has transformed our understanding of the complexity and dynamics of tumor ecosystems. Recent advances in spatial omics and computational modeling have enabled high-resolution mapping of these neighborhoods, providing unprecedented insights into their roles in shaping tumor heterogeneity, evolution and therapeutic responses. Despite these advances, a unified framework for interpreting cellular neighborhoods remains lacking. This Perspective synthesizes emerging concepts and insights, focusing on the definition and classification of cellular neighborhoods in cancer, computational methods for identifying and comparing them, and their clinical relevance.

Indexed as

NeoplasmsTumor MicroenvironmentAnimalsComputer SimulationHumansMultiomics

Identifiers

PMID41545713
PMCPMC13080512

What Socratic holds

Textmetadata
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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 Socratic graph.