Evidence map›Paper›PMID 35429774›Full record

ArticleCurrent opinion in immunology2022

Editorial overview: Vaccines: Reinvigorating therapeutic cancer vaccines.

Camila Robles-Oteiza, Catherine J Wu

Open access · greenAbstract readEditorial
In one paragraph

Article in Current opinion in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 at 2 institutions in 1 country.

Camila Robles-OteizaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Catherine J WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA. Electronic address: cwu@partners.org.
Broad Institute · USDana-Farber Cancer Institute · US

Funding

Personal tumor neoantigens for immunity against chronic lymphocytic leukemiaR01CA155010 · NCI · DANA-FARBER CANCER INST · PI Catherine Ju-Ying Wu · 2011 to 2026
$9.6M
Investigating Immune Responses to Neoantigen Cancer Vaccines using In Vivo Functionalized LineageK00CA245819 · NCI · DANA-FARBER CANCER INST · PI ROBLES-OTEIZA, CAMILA · 2022 to 2025
$377k
NCI NIH HHS K00 CA245819NCI NIH HHS R01 CA155010
6 · The paper itself

Abstract

Lessons learned from the rapid deployment of vaccines during the COVID-19 pandemic are reinvigorating the cancer vaccine field. Using delivery platforms including mRNA and synthetic long peptides, recent clinical trials have demonstrated that cancer vaccines are safe, feasible, and can be associated with the generation of antigen-specific memory T cells and, in some cases, durable clinical responses. Despite these advances, fundamental questions remain regarding the optimal delivery platforms and antigen targets to use in cancer vaccines. Ongoing and future studies that harness advances in the identification of novel sources of antigens, the prediction of immunogenic antigens, and the use of single-cell technologies to profile antigen-specific T cells will hopefully reveal correlates with clinical outcomes and provide a mechanistic basis for future progress.

Indexed as

Cancer VaccinesCOVID-19NeoplasmsHumansPandemicsRNA, MessengerCancer VaccinesRNA, Messenger

Identifiers

PMID35429774
PMCPMC9612210
OpenAlexW4223903587

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.