Evidence map›Paper›PMID 21826083›Full record

ReviewNature reviews. Clinical oncology2011

Cancer immunology--analysis of host and tumor factors for personalized medicine.

Shuji Ogino, Jérôme Galon, Charles S Fuchs, Glenn Dranoff

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed, 4 pooled it
–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

179 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Expression profiling of archival tumors for long-term health studies.Clinical cancer research : an official journal of the American Association for Cancer Research · 2012
    Pooled it
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  7. Predictive and prognostic roles of BRAF mutation in stage III colon cancer: results from intergroup trial CALGB 89803.Clinical cancer research : an official journal of the American Association for Cancer Research · 2012
    Trial
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119 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

4 authors.

Shuji OginoDana-Farber Cancer Institute, Brigham and Women's Hospital and Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215, USA. shuji_ogino@dfci.harvard.edu
Jérôme Galon
Charles S Fuchs
Glenn Dranoff

Funding

Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
Targeting MFG-E8 as Melanoma ImmunotherapyR01CA143083 · NCI · DANA-FARBER CANCER INST · PI DRANOFF, GLENN · 2010 to 2014
$1.6M
NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA143083NCI NIH HHS R01 CA151993
6 · The paper itself

Abstract

Immune cells in the tumor microenvironment have an important role in regulating tumor progression. Therefore, stimulating immune reactions to tumors can be an attractive therapeutic and prevention strategy. Cancer cells and host cells constantly interact with each other in the tumor microenvironment; thus, cancer immunology is an interdisciplinary area where integrated analysis of both host and tumor factors is needed. Cancer represents a heterogeneous group of diseases with different genetic and epigenetic alterations; therefore, molecular classification of cancer (for example lung, prostate and breast cancers) is an important component in clinical decision making. However, most studies on antitumor immunity and clinical outcome lack analysis of tumor molecular biomarkers. In this Review, we discuss colorectal cancer as a prototypical example of cancer. Common molecular classifiers of colon cancer include KRAS, BRAF and PIK3CA mutations, microsatellite instability, LINE-1 methylation, and CpG island methylator phenotype. Since tumor molecular features and immune reactions are inter-related, a comprehensive assessment of these factors is critical. Examining the effects of tumor-host interactions on clinical outcome and prognosis represents an evolving interdisciplinary field of molecular pathological epidemiology. Pathological immunity evaluation may provide information on prognosis and help identify patients who are more likely to benefit from immunotherapy.

Indexed as

Precision MedicineHumansNeoplasm ProteinsNeoplasmsNeoplasm Proteins

Identifiers

PMID21826083
PMCPMC3227751

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.