Evidence map›Paper›PMID 26342008›Full record

ReviewCancer immunology research2015

Neoepitopes of Cancers: Looking Back, Looking Ahead.

Pramod K Srivastava

Open access · bronzeAbstract readReview
In one paragraph

Review in Cancer immunology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

48 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Cancer Vaccines: A Novel Revolutionized Approach to Cancer Therapy.Indian journal of clinical biochemistry : IJCB · 2025
    Review
  5. Review
  6. Vaccine approaches to treat urothelial cancer.Human vaccines & immunotherapeutics · 2024
    Review
  7. Review
  8. Review
  9. Tumor neoantigens and tumor immunotherapies.Aging medicine (Milton (N.S.W)) · 2024
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article
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

1 author at 1 institution in 1 country.

Pramod K SrivastavaCarole and Ray Neag Comprehensive Cancer Center and the Department of Immunology, University of Connecticut School of Medicine, Farmington, Connecticut. Srivastava@uchc.edu.
University of Connecticut · US

Funding

RECEPTOR FOR GP96 ON MACROPHAGES AND DENDRITIC CELLSR01CA084479 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI SRIVASTAVA, PRAMOD K. · 2000 to 2008
$2.4M
NCI NIH HHS R01 CA084479
6 · The paper itself

Abstract

The search for specificity in cancers has been a holy grail in cancer immunology. Cancer geneticists have long known that cancers harbor transforming and other mutations. Immunologists have long known that inbred mice can be immunized against syngeneic cancers, indicating the existence of cancer-specific antigens. With the technological advances in high-throughput DNA sequencing and bioinformatics, the genetic and immunologic lines of inquiry are now converging to provide definitive evidence that human cancers are vastly different from normal tissues at the genetic level, and that some of these differences are recognized by the immune system. The very vastness of genetic changes in cancers now raises different question. Which of the many cancer-specific genetic (genomic) changes are actually recognized by the immune system, and why? New observations are now beginning to probe these vital issues with unprecedented resolution and are informing a new generation of studies in human cancer immunotherapy.

Indexed as

Antigens, NeoplasmCD4-Positive T-LymphocytesGenes, MHC Class IHumansImmunotherapyMutationNeoplasmsAntigens, Neoplasm

Identifiers

PMID26342008
PMCPMC6722432
OpenAlexW2125315731

What OpenQuestion holds

Textmetadata
LicenceTDM
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.