Evidence map›Paper›PMID 21952290›Full record

ReviewCancer journal (Sudbury, Mass.)

Vaccines targeting cancer stem cells: are they within reach?

Madhav V Dhodapkar, Kavita M Dhodapkar

Abstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Harnessing shared antigens and T-cell receptors in cancer: Opportunities and challenges.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  7. Article
  8. 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

2 authors.

Madhav V DhodapkarDepartments of Medicine, Immunobiology and Pediatrics, Yale University, New Haven, CT, USA. madhav.dhodapkar@yale.edu
Kavita M Dhodapkar

Funding

Anti-Tumor immunity in myelomaR01CA106802 · NCI · YALE UNIVERSITY · PI DHODAPKAR, MADHAV V · 2004 to 2016
$3.3M
Targeting myeloma via dendritic cellsR01CA109465 · NCI · YALE UNIVERSITY · PI DHODAPKAR, MADHAV V · 2005 to 2009
$1.6M
Immunity to stem cell antigens in preneoplastic gammopathyR01CA135110 · NCI · YALE UNIVERSITY · PI DHODAPKAR, MADHAV V · 2008 to 2013
$1.6M
NCI NIH HHS R01 CA106802NCI NIH HHS R01 CA109465NCI NIH HHS R01 CA135110
6 · The paper itself

Abstract

Increased appreciation of intraclonal heterogeneity of tumors in the past decade has led to the resurgence of the cancer stem cell hypothesis. This hypothesis also has potential implications for immunologic approaches targeting cancer, and it has been suggested that vaccines targeting cancer stem cells may be essential for durable antitumor immunity. Recent studies have provided novel insights into the nature of antigenic targets expressed on putative cancer stem cells and the capacity of both the innate and the adaptive immune system to target these cells, as well as the associated challenges. While the phenotypic properties of cancer stem cells may be plastic, their stemness and capacity for self-renewal may depend on a limited set of genes. Several of these genes overlap with those regulating stemness in embryonal stem cells and are also emerging as potential oncogenes in some cancers. Immunologic approaches targeting stemness-associated pathways in cancer may provide an important strategy for the prevention of diverse cancers, including those occurring in the context of regenerative therapies.

Indexed as

Cancer VaccinesHumansImmunity, InnateImmunotherapyNeoplasmsNeoplastic Stem CellsPluripotent Stem CellsCancer Vaccines

Identifiers

PMID21952290
PMCPMC3224821

What OpenQuestion holds

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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.