Evidence map›Paper›PMID 32015555›Full record

ReviewNature medicine2020

Single-cell genomic approaches for developing the next generation of immunotherapies.

Ido Yofe, Rony Dahan, Ido Amit

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

71 citing papers in PubMed, 112 citations in OpenAlex.

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  5. Genes · 2026
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11 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Ido YofeDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel.
Rony DahanDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel.ORCID http://orcid.org/0000-0002-8420-7601
Ido AmitDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel. ido.amit@weizmann.ac.il.ORCID http://orcid.org/0000-0003-2968-877X
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent progress in single-cell genomics urges its application in drug development, particularly of cancer immunotherapies. Current immunotherapy pipelines are focused on functional outcome and simple cellular and molecular readouts. A thorough mechanistic understanding of the cells and pathways targeted by immunotherapy agents is lacking, which limits the success rate of clinical trials. A large leap forward can be made if the immunotherapy target cells and pathways are characterized at high resolution before and after treatment, in clinical cohorts and model systems. This will enable rapid development of effective immunotherapies and data-driven design of synergistic drug combinations. In this Perspective, we discuss how emerging single-cell genomic technologies can serve as an engine for target identification and drug development.

Indexed as

AnimalsB7-H1 AntigenBiomarkersCD8-Positive T-LymphocytesClinical Trials as TopicCTLA-4 AntigenDrug DesignDrug IndustryDrug Therapy, CombinationGenomicsHumansImmunologic FactorsImmunotherapyNeoplasmsPhenotypeSingle-Cell AnalysisB7-H1 AntigenBiomarkersCD274 protein, humanCTLA-4 AntigenCTLA4 protein, humanImmunologic Factors

Identifiers

PMID32015555
OpenAlexW3003316051

What OpenQuestion holds

Textmetadata
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.