Evidence map›Paper›PMID 12407407›Full record

ReviewNature immunology2002

Natural selection of tumor variants in the generation of "tumor escape" phenotypes.

Hung T Khong, Nicholas P Restifo

Open access · greenAbstract readReview
In one paragraph

Review in Nature immunology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 452 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
452citing papers in PubMed, 3 pooled it
15.1field-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

452 citing papers in PubMed, 3 syntheses or guidelines pooled it, 1,033 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
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  16. Investigating the Consequences of Aneuploidy in Cancer and Normal Tissue.Advances in experimental medicine and biology · 2026
    Review
  17. Article
  18. Article
  19. Review
  20. Article

392 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

2 authors at 1 institution in 1 country.

Hung T KhongNational Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. khong@nih.gov
Nicholas P Restifo
National Institutes of Health · US

Funding

Building on the success of the adoptive immunotherapy of cancerZ01BC010763 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RESTIFO, NICHOLAS P · 2006 to 2008
$6.4M
Intramural NIH HHS Z01 BC010763Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

The idea that tumors must "escape" from immune recognition contains the implicit assumption that tumors can be destroyed by immune responses either spontaneously or as the result of immunotherapeutic intervention. Simply put, there is no need for tumor escape without immunological pressure. Here, we review evidence supporting the immune escape hypothesis and critically explore the mechanisms that may allow such escape to occur. We discuss the idea that the central engine for generating immunoresistant tumor cell variants is the genomic instability and dysregulation that is characteristic of the transformed genome. "Natural selection" of heterogeneous tumor cells results in the survival and proliferation of variants that happen to possess genetic and epigenetic traits that facilitate their growth and immune evasion. Tumor escape variants are likely to emerge after treatment with increasingly effective immunotherapies.

Indexed as

Selection, GeneticAnimalsAntigens, NeoplasmApoptosisCytokinesDisease ProgressionHLA AntigensHumansImmunodominant EpitopesImmunologic SurveillanceImmunotherapyKiller Cells, NaturalMiceModels, ImmunologicalNeoplasmsT-Lymphocytes, CytotoxicAntigens, NeoplasmCytokinesHLA AntigensImmunodominant Epitopes

Identifiers

PMID12407407
PMCPMC1508168
OpenAlexW2051940153

What OpenQuestion holds

Textmetadata
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.