Evidence map›Paper›PMID 33864502›Full record

ArticleCancer immunology, immunotherapy : CII2021

Tumor morphology and location associate with immune cell composition in pleomorphic sarcoma.

Rosanna L Wustrack, Evans Shao, Joey Sheridan, Melissa Zimel, Soo-Jin Cho, Andrew E Horvai, Diamond Luong, Serena S Kwek, Lawrence Fong, Ross A Okimoto

Open access · hybridAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Comprehensive Analysis of Tumor Microenvironment Reveals Prognostic ceRNA Network Related to Immune Infiltration in Sarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
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

10 authors at 1 institution in 1 country.

Rosanna L WustrackDepartment of Orthopedic Surgery, University of California, San Francisco, USA.
Evans ShaoDivision of Hematology and Oncology, Department of Medicine, University of California, 513 Parnassus Avenue, HSW1201, San Francisco, CA, 94143, USA.
Joey SheridanDepartment of Orthopedic Surgery, University of California, San Francisco, USA.
Melissa ZimelDepartment of Orthopedic Surgery, University of California, San Francisco, USA.
Soo-Jin ChoDepartment of Pathology, University of California, San Francisco, USA.
Andrew E HorvaiDepartment of Pathology, University of California, San Francisco, USA.
Diamond LuongDivision of Hematology and Oncology, Department of Medicine, University of California, 513 Parnassus Avenue, HSW1201, San Francisco, CA, 94143, USA.
Serena S KwekDivision of Hematology and Oncology, Department of Medicine, University of California, 513 Parnassus Avenue, HSW1201, San Francisco, CA, 94143, USA.
Lawrence FongDivision of Hematology and Oncology, Department of Medicine, University of California, 513 Parnassus Avenue, HSW1201, San Francisco, CA, 94143, USA. Lawrence.fong@ucsf.edu.
Ross A OkimotoDivision of Hematology and Oncology, Department of Medicine, University of California, 513 Parnassus Avenue, HSW1201, San Francisco, CA, 94143, USA. ross.okimoto@ucsf.edu.ORCID http://orcid.org/0000-0002-4467-8476
University of California, San Francisco · US

Funding

Molecular and immune drivers of immunotherapy responsiveness in prostate cancerU01CA233100 · NCI · DANA-FARBER CANCER INST · PI FONG, LAWRENCE, VAN ALLEN, ELIEZER M · 2018 to 2022
$4.2M
Therapeutic rescue of the transcriptional repressor Capicua to inhibit lung cancer metastasisK08CA222625 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OKIMOTO, ROSS · 2018 to 2022
$887k
NCI NIH HHS K08 CA222625NCI NIH HHS K08CA222625NCI NIH HHS U01 CA233100NCI NIH HHS U01CA233100
6 · The paper itself

Abstract

backgroundSoft-tissue sarcomas (STS) are a rare group of mesenchymal malignancies that account for approximately 1% of adult human cancer. Undifferentiated pleomorphic sarcoma (UPS) is one of the most common subtypes of adult STS. Clinical stratification of UPS patients has not evolved for decades and continues to rely on tumor-centric metrics including tumor size and depth. Our understanding of how the tumor microenvironment correlates to these clinicopathologic parameters remains limited.

methodsHere, we performed single-cell flow cytometric immune-based profiling of 15 freshly resected UPS tumors and integrated this analysis with clinical, histopathologic, and outcomes data using both a prospective and retrospective cohort of UPS patients.

resultsWe uncovered a correlation between physiologic and anatomic properties of UPS tumors and the composition of immune cells in the tumor microenvironment. Specifically, we identified an inverse correlation between tumor-infiltrating CD8 + T cells and UPS tumor size; and a positive correlation between tumor-infiltrating CD8 + T cells and overall survival. Moreover, we demonstrate an association between anatomical location (deep or superficial) and frequency of CD4 + PD1

conclusionsOur study provides an immune-based analysis of the tumor microenvironment in UPS patients and describes the different composition of tumor infiltrating lymphocytes based on size and tumor depth.

Indexed as

AgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesRetrospective StudiesSarcomaSoft Tissue NeoplasmsTumor MicroenvironmentImmune-based profilingPleomorphic sarcomaSoft-tissue sarcoma

Identifiers

PMID33864502
PMCPMC8423706
OpenAlexW3153201142

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.