Evidence map›Paper›PMID 26193342›Full record

ArticleNature medicine2015

The prognostic landscape of genes and infiltrating immune cells across human cancers.

Andrew J Gentles, Aaron M Newman, Chih Long Liu, Scott V Bratman, Weiguo Feng, Dongkyoon Kim, Viswam S Nair, Yue Xu, Amanda Khuong, Chuong D Hoang and 4 more

Abstract read
In one paragraph

Article in Nature medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,099 papers.

0numbers the graph read from it
0cells of the map it votes in
2,099citing 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

2,099 citing papers in PubMed.

  1. CD27 Agonist Antibodies Mediate Clinical Responses through Intratumoral Stimulation in B-cell Malignancies: Multicenter RiVa Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Trial
  2. Neutrophils in cancer.Nature reviews. Cancer · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Targeting T follicular helper cells for lifelong health.Nature reviews. Drug discovery · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Prognostic Value of FST and Relevance to Immune Infiltration in Head and Neck Squamous Cell Carcinoma.World journal of otorhinolaryngology - head and neck surgery · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. HIF1AJournal for immunotherapy of cancer · 2026
    Article
  17. Article
  18. γδ T cells in colorectal and liver cancer.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  19. Review
  20. Review

2,039 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

14 authors.

Andrew J Gentles *Center for Cancer Systems Biology (CCSB), Stanford University, Stanford, California, USA.
Aaron M Newman *Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.
Chih Long LiuInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.
Scott V BratmanInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.
Weiguo FengInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.
Dongkyoon KimInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.
Viswam S NairDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, Stanford University, Stanford, California, USA.
Yue XuDepartment of Cardiothoracic Surgery, Division of Thoracic Surgery, Stanford University, Stanford, California, USA.
Amanda KhuongDepartment of Cardiothoracic Surgery, Division of Thoracic Surgery, Stanford University, Stanford, California, USA.
Chuong D HoangDepartment of Cardiothoracic Surgery, Division of Thoracic Surgery, Stanford University, Stanford, California, USA.
Maximilian DiehnInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.
Robert B WestDepartment of Pathology, Stanford University, Stanford, California, USA.
Sylvia K PlevritisCenter for Cancer Systems Biology (CCSB), Stanford University, Stanford, California, USA.
Ash A AlizadehCenter for Cancer Systems Biology (CCSB), Stanford University, Stanford, California, USA.

Funding

Leveraging innovative technologies in basic and clinical cancer researchT32CA009302 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI, Aaron M Newman · 1985 to 2026
$19.1M
MODELING THE ROLE OF PROGRESSION IN FOLLICULAR LYMPHOMAU54CA149145 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2010 to 2014
$12.1M
Modeling the Molecular Determinants of Induced Anti-Tumor Immune Responses in Mantle Cell LymphomaU01CA194389 · NCI · STANFORD UNIVERSITY · PI ALIZADEH, ASH ARASH, DAVIS, MARK MORRIS · 2015 to 2019
$3.1M
Clinically-Relevant Regulatory Networks in the Lung Tumor MicroenvironmentU01CA154969 · NCI · STANFORD UNIVERSITY · PI CLARKE, MICHAEL, PLEVRITIS, SYLVIA KATINA · 2011 to 2015
$2.8M
Noninvasive monitoring of lung cancer patients treated with radiotherapyR01CA188298 · NCI · STANFORD UNIVERSITY · PI ALIZADEH, ASH ARASH, DIEHN, MAXIMILIAN · 2015 to 2019
$1.8M
NCI NIH HHS 5T32 CA09302-35NCI NIH HHS R01 CA188298NCI NIH HHS T32 CA009302NCI NIH HHS U01 CA154969NCI NIH HHS U01CA154969NCI NIH HHS U01 CA194389NCI NIH HHS U54 CA149145
6 · The paper itself

Abstract

Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of clinical outcomes. However, existing data sets are fragmented and difficult to analyze systematically. Here we present a pan-cancer resource and meta-analysis of expression signatures from ∼18,000 human tumors with overall survival outcomes across 39 malignancies. By using this resource, we identified a forkhead box MI (FOXM1) regulatory network as a major predictor of adverse outcomes, and we found that expression of favorably prognostic genes, including KLRB1 (encoding CD161), largely reflect tumor-associated leukocytes. By applying CIBERSORT, a computational approach for inferring leukocyte representation in bulk tumor transcriptomes, we identified complex associations between 22 distinct leukocyte subsets and cancer survival. For example, tumor-associated neutrophil and plasma cell signatures emerged as significant but opposite predictors of survival for diverse solid tumors, including breast and lung adenocarcinomas. This resource and associated analytical tools (http://precog.stanford.edu) may help delineate prognostic genes and leukocyte subsets within and across cancers, shed light on the impact of tumor heterogeneity on cancer outcomes, and facilitate the discovery of biomarkers and therapeutic targets.

Indexed as

HumansLymphocytes, Tumor-InfiltratingNeoplasmsNeutrophil InfiltrationPlasma CellsPrognosis

Identifiers

PMID26193342
PMCPMC4852857

What OpenQuestion holds

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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.