Evidence map›Paper›PMID 37259805›Full record

ReviewMolecular cancer therapeutics2023

Predicting the Abscopal Effect: Associated Tumor Histologic Subtypes and Biomarkers.

Blessie Elizabeth Nelson, Jacob J Adashek, Aakash Akshay Sheth, Vivek Subbiah

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular cancer therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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 3 institutions in 1 country.

Blessie Elizabeth NelsonDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-8227-638X
Jacob J AdashekDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins Hospital, Baltimore, Maryland.ORCID 0000-0003-4272-312X
Aakash Akshay ShethDepartment of Medicine, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-0442-3233
Vivek SubbiahDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-6064-6837
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Discovery of the next-generation RET-targeted drugs based on nicotinamide scaffoldR01CA273168 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FUNDA MERIC-BERNSTAM, Herman O Sintim · 2022 to 2026
$2.9M
Blocking tumor progression in therapy-responsive RET aberration-associated cancerR01CA242845 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI AHNERT, JORDI RODON, MOOERS, BLAINE H. M. · 2020 to 2024
$1.9M
Informatics to enable routine personalized cancer therapyU01CA180964 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BERNSTAM, ELMER V., MERIC-BERNSTAM, FUNDA · 2013 to 2015
$964k
NCATS NIH HHS UL1 TR000371NCI NIH HHS P30 CA016672NCI NIH HHS P30CA016672NCI NIH HHS R01 CA242845NCI NIH HHS R01CA242845NCI NIH HHS R01 CA273168NCI NIH HHS R01CA273168NCI NIH HHS U01 CA180964
6 · The paper itself

Abstract

Radiotherapy is a pillar of cancer treatment, which has historically been used primarily to treat localized disease with curative intent. With the increasing role of radiotherapy for metastatic disease and rapid integration of immunotherapy into the standard of care for various cancers, it has been observed that local radiation to one malignant site can lead to shrinkage of tumors at other sites, a phenomenon termed the "abscopal effect." Historically, there was little mechanistic elucidation as to how this phenomenon occurs. However, multiple groups have recently identified associated immuno-prognostic factors, such as high post-radiotherapy absolute lymphocyte count, neoantigens, myeloid-derived suppressor cells, and NK cells. The concomitant use of immunotherapy with radiotherapy has been documented to induce the abscopal effect. As immunotherapies continue to be incorporated into most cancer treatment approaches, understanding which patients are more likely to benefit from an abscopal effect may allow for optimization of both systemic and radiotherapeutic strategies. This review highlights the tumor histologic subtypes and biomarkers of the greatest utility for the recognition and identification of patients likely to benefit from the abscopal effect.

Indexed as

NeoplasmsRadiation OncologyBiomarkersCombined Modality TherapyHumansImmunotherapyBiomarkers

Identifiers

PMID37259805
PMCPMC10233357
OpenAlexW4378952022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.