Evidence map›Paper›PMID 28114250›Full record

ReviewCancer journal (Sudbury, Mass.)

New Combination Strategies Using Programmed Cell Death 1/Programmed Cell Death Ligand 1 Checkpoint Inhibitors as a Backbone.

Siwen Hu-Lieskovan, Antoni Ribas

Abstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

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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.

Siwen Hu-LieskovanFrom the Division of Hematology-Oncology, Department of Medicine, Jonsson Comprehensive Cancer Center at the University of California Los Angeles, Los Angeles, CA.
Antoni Ribas

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Repurposing of cancer therapeutics for treatment of patients with COVID-19 diseaseU54CA199090 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HEATH, JAMES R., RIBAS, ANTONI · 2015 to 2020
$11.4M
Next Generation Cancer Immunotherapies to Defeat MelanomaR35CA197633 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTONI RIBAS · 2015 to 2026
$10.4M
TARGETED COMBINATORIAL TREATMENT OF BRAF MELANOMASP01CA168585 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RIBAS, ANTONI · 2013 to 2017
$8.4M
Strategies for Distinguishing Success in Immunotherapy Treatments (PQ20)R01CA170689 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HEATH, JAMES R., RIBAS, ANTONI · 2012 to 2015
$2.5M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001881NCI NIH HHS P01 CA168585NCI NIH HHS R01 CA170689NCI NIH HHS R35 CA197633NCI NIH HHS U54 CA199090
6 · The paper itself

Abstract

The discovery of immune checkpoints and subsequent clinical development of checkpoint inhibitors have revolutionized the field of oncology. The durability of the antitumor immune responses has raised the hope for long-term patient survival and potential cure; however, currently, only a minority of patients respond. Combination strategies to help increase antigen release and T-cell priming, promote T-cell activation and homing, and improve the tumor immune microenvironment, all guided by predictive biomarkers, can help overcome the tumor immune-evasive mechanisms and maximize efficacy to ultimately benefit the majority of patients. Great challenges remain because of the complex underlying biology, unpredictable toxicity, and accurate assessment of response. Carefully designed clinical trials guided by translational studies of paired biopsies will be key to develop reliable predictive biomarkers to choose which patients would most likely benefit from each strategy.

Indexed as

AnimalsB7-H1 AntigenCombined Modality TherapyCTLA-4 AntigenHumansNeoplasmsOncolytic VirotherapyProgrammed Cell Death 1 ReceptorRandomized Controlled Trials as TopicTumor MicroenvironmentB7-H1 AntigenCD274 protein, humanCTLA-4 AntigenCTLA4 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID28114250
PMCPMC5844278

What OpenQuestion holds

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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.