Evidence map›Paper›PMID 28126714›Full record

ArticleCancer research2017

Systematic Pan-Cancer Analysis Reveals Immune Cell Interactions in the Tumor Microenvironment.

Frederick S Varn, Yue Wang, David W Mullins, Steven Fiering, Chao Cheng

Abstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 2% 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

114 citing papers in PubMed, 1 synthesis or guideline pooled it, 159 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. CXCL13-CXCR5 signaling in CD8Cancer immunology, immunotherapy : CII · 2026
    Article
  4. CXCL13-CXCR5 Signaling in CD8bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Advances in Colorectal Cancer Cell Biology and Clonal Evolution.International journal of molecular sciences · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. MCT4 is an independent prognostic factor and affects immune cell infiltration in patients with colorectal liver oligometastases.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

54 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Frederick S VarnDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Yue WangDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
David W MullinsDepartment of Medical Education, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Steven FieringDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Chao ChengDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. chao.cheng@dartmouth.edu.
Dartmouth College · US

Funding

SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
Quantitative Biology Research InstituteP20GM103534 · NIGMS · DARTMOUTH COLLEGE · PI AMOS, CHRISTOPHER I. · 2012 to 2016
$8.6M
Molecular and Cellular Biology at DartmouthT32GM008704 · NIGMS · DARTMOUTH COLLEGE · PI COMPTON, DUANE A. · 1998 to 2018
$6.8M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceKL2TR001088 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$3.3M
NCATS NIH HHS KL2 TR001088NCATS NIH HHS UL1 TR001086NIGMS NIH HHS P20 GM103534NIGMS NIH HHS T32 GM008704
6 · The paper itself

Abstract

With the recent advent of immunotherapy, there is a critical need to understand immune cell interactions in the tumor microenvironment in both pan-cancer and tissue-specific contexts. Multidimensional datasets have enabled systematic approaches to dissect these interactions in large numbers of patients, furthering our understanding of the patient immune response to solid tumors. Using an integrated approach, we inferred the infiltration levels of distinct immune cell subsets in 23 tumor types from The Cancer Genome Atlas. From these quantities, we constructed a coinfiltration network, revealing interactions between cytolytic cells and myeloid cells in the tumor microenvironment. By integrating patient mutation data, we found that while mutation burden was associated with immune infiltration differences between distinct tumor types, additional factors likely explained differences between tumors originating from the same tissue. We concluded this analysis by examining the prognostic value of individual immune cell subsets as well as how coinfiltration of functionally discordant cell types associated with patient survival. In multiple tumor types, we found that the protective effect of CD8

Indexed as

Biomarkers, TumorCD8-Positive T-LymphocytesCell CommunicationGene Expression ProfilingHumansMacrophagesNeoplasmsNeoplasm StagingSurvival RateTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID28126714
PMCPMC5798883
OpenAlexW2582414407

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.