Evidence map›Paper›PMID 23097673›Full record

ReviewClinical & developmental immunology2012

Immunotherapy of cancer: reprogramming tumor-immune crosstalk.

Kyle K Payne, Amir A Toor, Xiang-Yang Wang, Masoud H Manjili

Open access · goldAbstract readReview
In one paragraph

Review in Clinical & developmental immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Cancer immunotherapy: a promising dawn in cancer research.American journal of blood research · 2020
    Review
  2. Article
  3. Article
  4. 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 1 institution in 1 country.

Kyle K PayneDepartment of Microbiology & Immunology, Massey Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA.
Amir A Toor
Xiang-Yang Wang
Masoud H Manjili
Virginia Commonwealth University · US

Funding

Large Stress Proteins in Biology and MedicineR01CA154708 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI WANG, XIANG-YANG SHAWN · 2011 to 2015
$1.5M
Scavenger Receptor-A and Immune RegulationR01CA129111 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI WANG, XIANG-YANG SHAWN · 2007 to 2011
$1.2M
NCI NIH HHS R01 CA129111NCI NIH HHS R01 CA154708
6 · The paper itself

Abstract

The advancement of cancer immunotherapy faces barriers which limit its efficacy. These include weak immunogenicity of the tumor, as well as immunosuppressive mechanisms which prevent effective antitumor immune responses. Recent studies suggest that aberrant expression of cancer testis antigens (CTAs) can generate robust antitumor immune responses, which implicates CTAs as potential targets for immunotherapy. However, the heterogeneity of tumor cells in the presence and quantity of CTA expression results in tumor escape from CTA-specific immune responses. Thus, the ability to modulate the tumor cell epigenome to homogenously induce expression of such antigens will likely render the tumor more immunogenic. Additionally, emerging studies suggest that suppression of antitumor immune responses may be overcome by reprogramming innate and adaptive immune cells. Therefore, this paper discusses recent studies which address barriers to successful cancer immunotherapy and proposes a strategy of modulation of tumor-immune cell crosstalk to improve responses in carcinoma patients.

Indexed as

AnimalsAntigens, NeoplasmHumansImmunotherapyNeoplasmsTumor EscapeAntigens, Neoplasm

Identifiers

PMID23097673
PMCPMC3477552
OpenAlexW2039138842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.