Evidence map›Paper›PMID 27449681›Full record

ReviewVaccine2017

Personalized cancer vaccines: Targeting the cancer mutanome.

Xiuli Zhang, Piyush K Sharma, S Peter Goedegebuure, William E Gillanders

Open access · greenAbstract readReview
In one paragraph

Review in Vaccine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Peptide-Based Therapeutics in Cancer Therapy.Molecular biotechnology · 2024
    Review
  9. Review
  10. Treatment Options for Brain Metastases.Current treatment options in oncology · 2024
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Advanced Biomaterials for Cell-Specific Modulation and Restore of Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  17. Anti-cancer peptide-based therapeutic strategies in solid tumors.Cellular & molecular biology letters · 2022
    Article
  18. Review
  19. Review
  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

4 authors at 2 institutions in 1 country.

Xiuli ZhangDepartment of Surgery, Washington University School of Medicine, St. Louis, MO 63110, United States.
Piyush K SharmaDepartment of Surgery, Washington University School of Medicine, St. Louis, MO 63110, United States.
S Peter GoedegebuureDepartment of Surgery, Washington University School of Medicine, St. Louis, MO 63110, United States; Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, United States.
William E GillandersDepartment of Surgery, Washington University School of Medicine, St. Louis, MO 63110, United States; Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, United States. Electronic address: gillandersw@wudosis.wustl.edu.
Washington University in St. Louis · USAlvin J. Siteman Cancer Center

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

The development of next generation sequencing technologies has revolutionized our understanding of how specific genetic events contribute to cancer initiation and progression. Dramatic improvements in instrument design and efficiency, combined with significant cost reductions has permitted a systematic analysis of the mutational landscape in a variety of cancer types. At the same time, a detailed map of the cancer mutanome in individual cancers offers a unique opportunity to develop personalized cancer vaccine strategies targeting neoantigens. Recent studies in both preclinical models and human cancer patients demonstrate that neoantigens (1) are important targets following checkpoint inhibition therapy, (2) have been identified as the target of adoptive T cell therapies, and (3) can be successfully targeted with personalized vaccines. Taken together, these observations provide strong rationale for the clinical translation of personalized cancer vaccines.

Indexed as

Molecular Targeted TherapyMutationAntigen PresentationAntigens, NeoplasmCancer VaccinesCD8-Positive T-LymphocytesClinical Trials as TopicGenetic VectorsHigh-Throughput Nucleotide SequencingHumansImmunotherapyNeoplasmsPeptidesPrecision MedicineReceptors, Antigen, T-CellVaccines, DNAAntigens, NeoplasmCancer VaccinesPeptidesReceptors, Antigen, T-CellVaccines, DNACancer vaccineGenome sequencingNeoantigenPersonalized

Identifiers

PMID27449681
PMCPMC5448976
OpenAlexW2494282274

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.