Evidence map›Paper›PMID 31166985›Full record

ArticlePloS one2019

Understanding heterogeneous tumor microenvironment in metastatic melanoma.

Yiyi Yan, Alexey A Leontovich, Michael J Gerdes, Keyur Desai, Jinhong Dong, Anup Sood, Alberto Santamaria-Pang, Aaron S Mansfield, Chrystal Chadwick, Rong Zhang and 4 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. SubvertingBiology · 2024
    Review
  6. Article
  7. Article
  8. Exploiting Unique Features of Microneedles to Modulate Immunity.Advanced materials (Deerfield Beach, Fla.) · 2023
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Cancers · 2021
    Article
  18. Review
  19. Article
  20. 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

14 authors.

Yiyi YanDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID 0000-0002-9238-4325
Alexey A LeontovichDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America.
Michael J GerdesDiagnostics, Imaging and Biomedical Technologies, GE Global Research Center, Niskayuna, New York, United States of America.
Keyur DesaiDiagnostics, Imaging and Biomedical Technologies, GE Global Research Center, Niskayuna, New York, United States of America.
Jinhong DongClinical Immunology and Immunotherapeutics, Mayo Clinic, Rochester, Minnesota, United States of America.
Anup SoodDiagnostics, Imaging and Biomedical Technologies, GE Global Research Center, Niskayuna, New York, United States of America.
Alberto Santamaria-PangDiagnostics, Imaging and Biomedical Technologies, GE Global Research Center, Niskayuna, New York, United States of America.
Aaron S MansfieldDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota, United States of America.ORCID 0000-0002-9483-6903
Chrystal ChadwickDiagnostics, Imaging and Biomedical Technologies, GE Global Research Center, Niskayuna, New York, United States of America.
Rong ZhangDiagnostics, Imaging and Biomedical Technologies, GE Global Research Center, Niskayuna, New York, United States of America.
Wendy K NevalaDivision of Hematology, Mayo Clinic, Rochester, Minnesota, United States of America.
Thomas J FlotteDivision of Anatomic Pathology and Division of Dermatopathology and Cutaneous Immunopathology, Mayo Clinic, Rochester, Minnesota, United States of America.
Fiona GintyDiagnostics, Imaging and Biomedical Technologies, GE Global Research Center, Niskayuna, New York, United States of America.
Svetomir N MarkovicDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota, United States of America.

Funding

Paul Calabresi Program in Clinical/Translational Research at Mayo ClinicK12CA090628 · NCI · MAYO CLINIC ROCHESTER · PI WEROHA, SARAVUT · 2001 to 2025
$19.7M
Validation of a single cell multiplexed in-situ biomarker analysis platform for pR01CA174377 · NCI · GENERAL ELECTRIC GLOBAL RESEARCH CTR · PI COFFEY, ROBERT J., GERDES, MICHAEL · 2012 to 2016
$3.7M
NCI NIH HHS K12 CA090628NCI NIH HHS R01 CA174377
6 · The paper itself

Abstract

A systemic analysis of the tumor-immune interactions within the heterogeneous tumor microenvironment is of particular importance for understanding the antitumor immune response. We used multiplexed immunofluorescence to elucidate cellular spatial interactions and T-cell infiltrations in metastatic melanoma tumor microenvironment. We developed two novel computational approaches that enable infiltration clustering and single cell analysis-cell aggregate algorithm and cell neighborhood analysis algorithm-to reveal and to compare the spatial distribution of various immune cells relative to tumor cell in sub-anatomic tumor microenvironment areas. We showed that the heterogeneous tumor human leukocyte antigen-1 expressions differently affect the magnitude of cytotoxic T-cell infiltration and the distributions of CD20+ B cells and CD4+FOXP3+ regulatory T cells within and outside of T-cell infiltrated tumor areas. In a cohort of 166 stage III melanoma samples, high tumor human leukocyte antigen-1 expression is required but not sufficient for high T-cell infiltration, with significantly improved overall survival. Our results demonstrate that tumor cells with heterogeneous properties are associated with differential but predictable distributions of immune cells within heterogeneous tumor microenvironment with various biological features and impacts on clinical outcomes. It establishes tools necessary for systematic analysis of the tumor microenvironment, allowing the elucidation of the "homogeneous patterns" within the heterogeneous tumor microenvironment.

Indexed as

Tumor MicroenvironmentCell AggregationGene Expression Regulation, NeoplasticHistocompatibility Antigens Class IHumansMelanomaNeoplasm MetastasisSingle-Cell AnalysisHistocompatibility Antigens Class I

Identifiers

PMID31166985
PMCPMC6550385

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.