Evidence map›Paper›PMID 19332877›Full record

ArticleThe Journal of experimental medicine2009

Self-antigen-specific CD8+ T cell precursor frequency determines the quality of the antitumor immune response.

Gabrielle A Rizzuto, Taha Merghoub, Daniel Hirschhorn-Cymerman, Cailian Liu, Alexander M Lesokhin, Diana Sahawneh, Hong Zhong, Katherine S Panageas, Miguel-Angel Perales, Grégoire Altan-Bonnet and 2 more

Abstract read
In one paragraph

Article in The Journal of experimental medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

69 citing papers in PubMed, 108 citations in OpenAlex.

  1. Trial
  2. Article
  3. The immunology of vitiligo.Nature reviews. Immunology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Immunotherapy in the Context of Aortic Valve Diseases.Cardiovascular drugs and therapy · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

9 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

12 authors at 3 institutions in 2 countries.

Gabrielle A RizzutoDepartments of Medicine and Immunology, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.
Taha Merghoub
Daniel Hirschhorn-Cymerman
Cailian Liu
Alexander M Lesokhin
Diana Sahawneh
Hong Zhong
Katherine S Panageas
Miguel-Angel Perales
Grégoire Altan-Bonnet
Jedd D Wolchok
Alan N Houghton
Institute of Immunology · HRMemorial Sloan Kettering Cancer Center · USCornell University · US

Funding

Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
TUMORICIDAL FUNCTIONS OF T LYMPHOCYTES IN PSMA TUMORSP01CA059350 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI O'REILLY, RICHARD JOHN · 1992 to 2012
$21.4M
TREATMENT OF CANCER PATIENTS WITH THYMIC FACTORSP01CA033049 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI DIVGI, CHAITANYA R. · 1985 to 2009
$19.8M
CLINICAL SCHOLARS BIOMEDICAL RESEARCH TRAINING PROGRAMT32CA009512 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Ping Chi · 1985 to 2026
$6.3M
IMMUNIZATION AGAINST MELANOMA DIFFERENTIATION ANTIGENSR01CA056821 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI WOLCHOK, JEDD D. · 1992 to 2020
$5.7M
Quantitative modeling of the phenotypic variability of individual T cells and theR01AI083408 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI ALTAN-BONNET, GREGOIRE · 2009 to 2012
$1.9M
NCI NIH HHS CA10260NCI NIH HHS P01 CA033049NCI NIH HHS P01 CA059350NCI NIH HHS P01CA33049NCI NIH HHS P01CA59350NCI NIH HHS R01 CA056821NCI NIH HHS R01CA56821NCI NIH HHS T32 CA009512NIAID NIH HHS R01 AI083408NIGMS NIH HHS GM07739NIGMS NIH HHS T32 GM007739
6 · The paper itself

Abstract

A primary goal of cancer immunotherapy is to improve the naturally occurring, but weak, immune response to tumors. Ineffective responses to cancer vaccines may be caused, in part, by low numbers of self-reactive lymphocytes surviving negative selection. Here, we estimated the frequency of CD8(+) T cells recognizing a self-antigen to be <0.0001% ( approximately 1 in 1 million CD8(+) T cells), which is so low as to preclude a strong immune response in some mice. Supplementing this repertoire with naive antigen-specific cells increased vaccine-elicited tumor immunity and autoimmunity, but a threshold was reached whereby the transfer of increased numbers of antigen-specific cells impaired functional benefit, most likely because of intraclonal competition in the irradiated host. We show that cells primed at precursor frequencies below this competitive threshold proliferate more, acquire polyfunctionality, and eradicate tumors more effectively. This work demonstrates the functional relevance of CD8(+) T cell precursor frequency to tumor immunity and autoimmunity. Transferring optimized numbers of naive tumor-specific T cells, followed by in vivo activation, is a new approach that can be applied to human cancer immunotherapy. Further, precursor frequency as an isolated variable can be exploited to augment efficacy of clinical vaccine strategies designed to activate any antigen-specific CD8(+) T cells.

Indexed as

AnimalsAutoantigensAutoimmunityCD8 AntigensCD8-Positive T-LymphocytesCell DivisionHumansMelanomaMelanoma, ExperimentalMiceNeoplasmsReceptors, Antigen, T-Cell, alpha-betaSkin NeoplasmsSpleenAutoantigensCD8 AntigensReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID19332877
PMCPMC2715122
OpenAlexW2144195944

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.