Evidence map›Paper›PMID 27549193›Full record

ArticleGenome biology2016

Comprehensive analyses of tumor immunity: implications for cancer immunotherapy.

Bo Li, Eric Severson, Jean-Christophe Pignon, Haoquan Zhao, Taiwen Li, Jesse Novak, Peng Jiang, Hui Shen, Jon C Aster, Scott Rodig and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,558 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,558citing papers in PubMed, 1 pooled it
38.5field-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

1,558 citing papers in PubMed, 1 synthesis or guideline pooled it, 2,741 citations in OpenAlex.

  1. Pooled it
  2. Systematic Analysis of Tumor Microenvironment Using IOBR.Methods in molecular biology (Clifton, N.J.) · 2027
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  11. Elevated TMC8 expression correlates with CD8Translational cancer research · 2026
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1,498 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 2 countries.

Bo LiDepartment of Biostatistics and Computational Biology, Dana Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.
Eric SeversonDepartment of Biostatistics and Computational Biology, Dana Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.
Jean-Christophe PignonDepartment of Pathology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, 02215, USA.
Haoquan ZhaoDepartment of Biostatistics and Computational Biology, Dana Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.
Taiwen LiState Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, 14 Renmin South Rd 3rd Section, Wuhou, Chengdu, Sichuan, 610041, China.
Jesse NovakDepartment of Pathology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, 02215, USA.
Peng JiangDepartment of Biostatistics and Computational Biology, Dana Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.
Hui ShenCenter for Epigenetics, Van Andel Research Institute, 333 Bostwick Ave N.E., Grand Rapids, MI, 49503, USA.
Jon C AsterDepartment of Pathology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, 02215, USA.
Scott RodigDepartment of Pathology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, 02215, USA.
Sabina SignorettiDepartment of Pathology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St., Boston, MA, 02215, USA.
Jun S LiuDepartment of Statistics, Harvard University, 1 Oxford St., Cambridge, MA, 02138, USA. jliu@stat.harvard.edu.
X Shirley LiuDepartment of Biostatistics and Computational Biology, Dana Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA. xsliu@jimmy.harvard.edu.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USHarvard University · USSichuan University · CNVan Andel Institute · US

Funding

VASCULAR, PULMONARY AND RENAL INJURYT32HL007627 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GIMBRONE, MICHAEL A, MITCHELL, RICHARD N · 1985 to 2019
$12.7M
Developing Informatics Technologies to Model Cancer Gene RegulationU01CA180980 · NCI · DANA-FARBER CANCER INST · PI LIU, XIAOLE SHIRLEY · 2013 to 2015
$1.1M
NCI NIH HHS U01 CA180980NHLBI NIH HHS T32 HL007627
6 · The paper itself

Abstract

backgroundUnderstanding the interactions between tumor and the host immune system is critical to finding prognostic biomarkers, reducing drug resistance, and developing new therapies. Novel computational methods are needed to estimate tumor-infiltrating immune cells and understand tumor-immune interactions in cancers.

resultsWe analyze tumor-infiltrating immune cells in over 10,000 RNA-seq samples across 23 cancer types from The Cancer Genome Atlas (TCGA). Our computationally inferred immune infiltrates associate much more strongly with patient clinical features, viral infection status, and cancer genetic alterations than other computational approaches. Analysis of cancer/testis antigen expression and CD8 T-cell abundance suggests that MAGEA3 is a potential immune target in melanoma, but not in non-small cell lung cancer, and implicates SPAG5 as an alternative cancer vaccine target in multiple cancers. We find that melanomas expressing high levels of CTLA4 separate into two distinct groups with respect to CD8 T-cell infiltration, which might influence clinical responses to anti-CTLA4 agents. We observe similar dichotomy of TIM3 expression with respect to CD8 T cells in kidney cancer and validate it experimentally. The abundance of immune infiltration, together with our downstream analyses and findings, are accessible through TIMER, a public resource at http://cistrome.org/TIMER .

conclusionsWe develop a computational approach to study tumor-infiltrating immune cells and their interactions with cancer cells. Our resource of immune-infiltrate levels, clinical associations, as well as predicted therapeutic markers may inform effective cancer vaccine and checkpoint blockade therapies.

Indexed as

ImmunityBiomarkers, TumorDatabases, GeneticDisease SusceptibilityGene Expression Regulation, NeoplasticGenetic VariationHumansImmune SystemImmunotherapyLymphocytes, Tumor-InfiltratingModels, BiologicalMolecular Targeted TherapyNeoplasmsSignal TransductionBiomarkers, TumorCancer immunityCancer immunotherapiesCancer vaccineCheckpoint blockadeTumor immune infiltration

Identifiers

PMID27549193
PMCPMC4993001
OpenAlexW2507880739

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.