Evidence map›Paper›PMID 30290139›Full record

ReviewCell2018

A Paradigm Shift in Cancer Immunotherapy: From Enhancement to Normalization.

Miguel F Sanmamed, Lieping Chen

Erratum issuedOpen access · bronzeAbstract readReview
In one paragraph

Review in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 732 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
732citing papers in PubMed, 6 pooled it
54.3field-weighted citation impact, top 1% 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

732 citing papers in PubMed, 6 syntheses or guidelines pooled it, 1,416 citations in OpenAlex.

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672 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Miguel F SanmamedDepartment of Immunobiology and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA.
Lieping ChenDepartment of Immunobiology and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA. Electronic address: lieping.chen@yale.edu.
Yale University · US

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI DAVID L RIMM · 1985 to 2026
$85.0M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Shuangge Ma · 2015 to 2026
$31.1M
NCI NIH HHS P30 CA016359NCI NIH HHS P50 CA196530
6 · The paper itself

Abstract

Harnessing an antitumor immune response has been a fundamental strategy in cancer immunotherapy. For over a century, efforts have primarily focused on amplifying immune activation mechanisms that are employed by humans to eliminate invaders such as viruses and bacteria. This "immune enhancement" strategy often results in rare objective responses and frequent immune-related adverse events (irAEs). However, in the last decade, cancer immunotherapies targeting the B7-H1/PD-1 pathway (anti-PD therapy), have achieved higher objective response rates in patients with much fewer irAEs. This more beneficial tumor response-to-toxicity profile stems from distinct mechanisms of action that restore tumor-induced immune deficiency selectively in the tumor microenvironment, here termed "immune normalization," which has led to its FDA approval in more than 10 cancer indications and facilitated its combination with different therapies. In this article, we wish to highlight the principles of immune normalization and learn from it, with the ultimate goal to guide better designs for future cancer immunotherapies.

Indexed as

B7-H1 AntigenCombined Modality TherapyCTLA-4 AntigenHumansImmunotherapyNeoplasmsProgrammed Cell Death 1 ReceptorTumor MicroenvironmentB7-H1 AntigenCTLA-4 AntigenPDCD1 protein, humanProgrammed Cell Death 1 ReceptorB7-H1cancerimmunotherapynormalizationPD-1PD-L1

Identifiers

PMID30290139
PMCPMC6538253
OpenAlexW2894717949

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.