Evidence map›Paper›PMID 32571789›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

Improving the Clinical Significance of Preclinical Immunotherapy Studies through Incorporating Tumor Microenvironment-like Conditions.

Luke Maggs, Soldano Ferrone

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Tumor microenvironment and immunotherapy: from bench to bedside.Medical oncology (Northwood, London, England) · 2025
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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.

Luke MaggsDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Soldano FerroneDepartment of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts. sferrone@mgh.harvard.edu.ORCID 0000-0003-2900-8834
Harvard University · US

Funding

T cell plasticity, fusion proteins and CAR T cell-based immunotherapy of head and neck cancerR01DE028172 · NIDCR · MASSACHUSETTS GENERAL HOSPITAL · PI WANG, XINHUI · 2018 to 2022
$1.9M
IL-15 TRiKES-based specific immunotherapy of pancreatic ductal adenocarcinomaR03CA231766 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FERRONE, CRISTINA R., FERRONE, SOLDANO · 2018 to 2019
$177k
IL-15 TRiKES-based specific immunotherapy of TNBC; resistance mechanismsR03CA216114 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FERRONE, SOLDANO, VALLERA, DANIEL A · 2018 to 2019
$177k
Safety and anti-tumor activity of B7-H3 CAR T cells in TNBCR03CA223886 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DOTTI, GIANPIETRO, FERRONE, SOLDANO · 2018 to 2019
$176k
Adaptive immunotherapy of anaplastic thyroid cancerR03CA239193 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PARANGI, SAREH · 2019 to 2020
$165k
NCI NIH HHS R03 CA216114NCI NIH HHS R03 CA223886NCI NIH HHS R03 CA231766NCI NIH HHS R03 CA239193NIDCR NIH HHS R01 DE028172
6 · The paper itself

Abstract

Frequently, the results generated when testing novel antitumor immunotherapies

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCell Culture TechniquesCell Line, TumorClinical Trials as TopicDrug Screening Assays, AntitumorHumansHydrogen-Ion ConcentrationLab-On-A-Chip DevicesNeoplasmsSpheroids, CellularTumor HypoxiaTumor Microenvironment

Identifiers

PMID32571789
PMCPMC7483623
OpenAlexW3036731465

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.