Evidence map›Paper›PMID 38429415›Full record

ArticleNature cancer2024

Sarcoma microenvironment cell states and ecosystems are associated with prognosis and predict response to immunotherapy.

Ajay Subramanian, Neda Nemat-Gorgani, Timothy J Ellis-Caleo, David G P van IJzendoorn, Timothy J Sears, Anish Somani, Bogdan A Luca, Maggie Y Zhou, Martina Bradic, Ileana A Torres and 15 more

Open access · greenAbstract read
In one paragraph

Article in Nature cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
18.9field-weighted citation impact, top 1% of its field
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Loss of NCCRP1 overcomes immune evasion in lung adenocarcinoma.Journal for immunotherapy of cancer · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Association of Circulating T Cell and Tumor Microenvironment Profiles with Immune Checkpoint Blockade Outcomes in Sarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  12. Article
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  14. Article
  15. Review
  16. Article
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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

25 authors at 2 institutions in 1 country.

Ajay Subramanian *Department of Radiation Oncology, Stanford University, Stanford, CA, USA.ORCID 0000-0001-7892-886X
Neda Nemat-Gorgani *Department of Radiation Oncology, Stanford University, Stanford, CA, USA.
Timothy J Ellis-Caleo *Department of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3217-8335
David G P van IJzendoornDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-2249-5919
Timothy J SearsDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4868-1509
Anish SomaniDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA.
Bogdan A LucaDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.
Maggie Y ZhouDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA.
Martina BradicMarie-Josee and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ileana A TorresDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA.
Eniola OladipoDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA.
Christin NewDepartment of Orthopedic Surgery, Stanford University, Stanford, CA, USA.
Deborah E KenneyDepartment of Orthopedic Surgery, Stanford University, Stanford, CA, USA.
Raffi S AvedianDepartment of Orthopedic Surgery, Stanford University, Stanford, CA, USA.
Robert J SteffnerDepartment of Orthopedic Surgery, Stanford University, Stanford, CA, USA.
Michael S BinkleyDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA.
David G MohlerDepartment of Orthopedic Surgery, Stanford University, Stanford, CA, USA.
William D TapDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sandra P D'AngeloDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-3736-3783
Matt van de RijnDepartment of Pathology, Stanford University, Stanford, CA, USA.
Kristen N GanjooDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA.
Nam Q BuiDivision of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA.
Gregory W CharvilleDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-2774-2704
Aaron M NewmanDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.ORCID 0000-0002-1857-8172
Everett J ModingDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA. emoding@stanford.edu.ORCID 0000-0001-7913-5351
Stanford University · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Non-invasive characterization of human soft tissue sarcoma response to radiation therapyK08CA255425 · NCI · STANFORD UNIVERSITY · PI MODING, EVERETT JAMES · 2022 to 2025
$1.0M
Ultra high throughput sequencer for sustaining and enhancing multi-scale genomic studiesS10OD025212 · OD · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2018 to 2018
$600k
Computer ClusterS10OD021763 · OD · STANFORD UNIVERSITY · PI JI, HANLEE P · 2016 to 2016
$481k
Department of Defense W81XWH-22-1-0161NCI NIH HHS K08 CA255425NCI NIH HHS K08CA25542501NCI NIH HHS P30 CA008748NIH HHS S10 OD021763NIH HHS S10 OD025212
6 · The paper itself

Abstract

Characterization of the diverse malignant and stromal cell states that make up soft tissue sarcomas and their correlation with patient outcomes has proven difficult using fixed clinical specimens. Here, we employed EcoTyper, a machine-learning framework, to identify the fundamental cell states and cellular ecosystems that make up sarcomas on a large scale using bulk transcriptomes with clinical annotations. We identified and validated 23 sarcoma-specific, transcriptionally defined cell states, many of which were highly prognostic of patient outcomes across independent datasets. We discovered three conserved cellular communities or ecotypes associated with underlying genomic alterations and distinct clinical outcomes. We show that one ecotype defined by tumor-associated macrophages and epithelial-like malignant cells predicts response to immune-checkpoint inhibition but not chemotherapy and validate our findings in an independent cohort. Our results may enable identification of patients with soft tissue sarcomas who could benefit from immunotherapy and help develop new therapeutic strategies.

Indexed as

ImmunotherapySarcomaTumor MicroenvironmentGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsMachine LearningPrognosisTranscriptomeTumor-Associated MacrophagesImmune Checkpoint Inhibitors

Identifiers

PMID38429415
PMCPMC11058033
OpenAlexW4392356289

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.