Evidence map›Paper›PMID 32015013›Full record

ReviewCancer immunology research2020

Immunotherapy of Pediatric Solid Tumors: Treatments at a Crossroads, with an Emphasis on Antibodies.

Dana L Casey, Nai-Kong V Cheung

Open access · greenAbstract readReview
In one paragraph

Review in Cancer immunology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 74 citations in OpenAlex.

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  13. B7 homolog 3 in pancreatic cancer.World journal of gastroenterology · 2024
    Review
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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

2 authors at 1 institution in 1 country.

Dana L CaseyDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York. cheungn@mskcc.org caseyd1@mskcc.org.
Nai-Kong V CheungDepartment of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York. cheungn@mskcc.org caseyd1@mskcc.org.ORCID 0000-0001-6323-5171
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Dual targeting of tumoral microenvironment and tumoral cells by blocking the IL-33/ST2 pathwayU01CA232491 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI CHEUNG, NAI-KONG V, PACZESNY, SOPHIE · 2018 to 2020
$4.3M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA232491
6 · The paper itself

Abstract

Over the last decade, immunotherapy has rapidly changed the therapeutic landscape and prognosis for many hematologic malignancies and adult solid tumors. Despite this success, immunotherapy for pediatric solid tumors remains in the early stages of development, and significant clinical benefit has yet to be realized, with anti-GD2 for neuroblastoma being the exception. The limited neoepitope expression and paucity of T-cell infiltration into the immunosuppressive tumor microenvironment have hampered current established immunotherapies. Emerging approaches to recruit T cells, to convert phenotypically "cold" into "inflamed" tumors, and to vastly improve therapeutic indices hold exceptional promise. Here, we review these approaches, highlighting the role of the tumor microenvironment and novel antibody platforms to maximize the full clinical potential of immunotherapy in pediatric oncology.

Indexed as

Antibodies, MonoclonalChildHumansImmunologic FactorsImmunotherapyImmunotherapy, AdoptiveNeoplasmsT-LymphocytesTumor MicroenvironmentAntibodies, MonoclonalImmunologic Factors

Identifiers

PMID32015013
PMCPMC7058412
OpenAlexW3003209169

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.