Evidence map›Paper›PMID 32265933›Full record

ReviewFrontiers in immunology2020

Single-Cell Approaches to Profile the Response to Immune Checkpoint Inhibitors.

Lara Gibellini, Sara De Biasi, Camillo Porta, Domenico Lo Tartaro, Roberta Depenni, Giovanni Pellacani, Roberto Sabbatini, Andrea Cossarizza

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Redistribution of CD8+ T cell subsets in metastatic renal cell carcinoma patients treated with anti-PD-1 therapy.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022
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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

8 authors.

Lara GibelliniDepartment of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy.
Sara De BiasiDepartment of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy.
Camillo PortaDepartment of Internal Medicine and Therapeutics, Division of Translational Oncology, IRCCS Istituti Clinici Scientifici Maugeri, University of Pavia, Pavia, Italy.
Domenico Lo TartaroDepartment of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy.
Roberta DepenniDepartment of Oncology, Hematology, University of Modena and Reggio Emilia, Modena, Italy.
Giovanni PellacaniDepartment of Surgery, Medicine, Dentistry and Morphological Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Roberto SabbatiniDepartment of Oncology, Hematology, University of Modena and Reggio Emilia, Modena, Italy.
Andrea CossarizzaDepartment of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel treatments based upon the use of immune checkpoint inhibitors have an impressive efficacy in different types of cancer. Unfortunately, most patients do not derive benefit or lasting responses, and the reasons for the lack of therapeutic success are not known. Over the past two decades, a pressing need to deeply profile either the tumor microenvironment or cells responsible for the immune response has led investigators to integrate data obtained from traditional approaches with those obtained with new, more sophisticated, single-cell technologies, including high parameter flow cytometry, single-cell sequencing and high resolution imaging. The introduction and use of these technologies had, and still have a prominent impact in the field of cancer immunotherapy, allowing delving deeper into the molecular and cellular crosstalk between cancer and immune system, and fostering the identification of predictive biomarkers of response. In this review, besides the molecular and cellular cancer-immune system interactions, we are discussing how cutting-edge single-cell approaches are helping to point out the heterogeneity of immune cells in the tumor microenvironment and in blood.

Indexed as

AnimalsAntineoplastic AgentsBiomarkers, PharmacologicalFlow CytometryHumansImmune Checkpoint InhibitorsImmune SystemImmunotherapyMonitoring, ImmunologicNeoplasmsPrognosisSequence Analysis, DNASingle-Cell AnalysisAntineoplastic AgentsBiomarkers, PharmacologicalImmune Checkpoint Inhibitorscancerimmune checkpointimmune systemimmunotherapysingle-cell technologies

Identifiers

PMID32265933
PMCPMC7100547

What OpenQuestion holds

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Registered trials

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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.