Evidence map›Paper›PMID 34502325›Full record

ReviewInternational journal of molecular sciences2021

Peripheral Blood-Based Biomarkers for Immune Checkpoint Inhibitors.

Ho Jung An, Hong Jae Chon, Chan Kim

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
7.2field-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

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

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  11. Programmed Cell Death Protein 1-Interleukin-2 Bispecific Agents for Cancer Therapy.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
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10 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 2 institutions in 1 country.

Ho Jung AnDepartment of Medical Oncology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Hong Jae ChonMedical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Korea.ORCID 0000-0002-6979-5812
Chan KimMedical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Korea.ORCID 0000-0001-9780-6155
CHA University Bundang Medical Center · KRThe Catholic University of Korea St. Vincent's Hospital · KR

Funding

Korea Medical Device Development Fund KMDF202012D21-01National Research Foundation of Korea 2020R1A2C2004530National Research Foundation of Korea 2020R1C1C1010722
6 · The paper itself

Abstract

As cancer immunotherapy using immune checkpoint inhibitors (ICIs) is rapidly evolving in clinical practice, it is necessary to identify biomarkers that will allow the selection of cancer patients who will benefit most or least from ICIs and to longitudinally monitor patients' immune responses during treatment. Various peripheral blood-based immune biomarkers are being identified with recent advances in high-throughput multiplexed analytical technologies. The identification of these biomarkers, which can be easily detected in blood samples using non-invasive and repeatable methods, will contribute to overcoming the limitations of previously used tissue-based biomarkers. Here, we discuss the potential of circulating immune cells, soluble immune and inflammatory molecules, circulating tumor cells and DNA, exosomes, and the blood-based tumor mutational burden, as biomarkers for the prediction of immune responses and clinical benefit from ICI treatment in patients with advanced cancer.

Indexed as

AnimalsBiomarkers, TumorHumansImmune Checkpoint InhibitorsNeoplasmsNeoplastic Cells, CirculatingPrognosisBiomarkers, TumorImmune Checkpoint Inhibitorsbiomarkercancer immunotherapyimmune checkpoint inhibitorperipheral blood

Identifiers

PMID34502325
PMCPMC8430528
OpenAlexW3196370604

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.