Evidence map›Paper›PMID 34063238›Full record

ReviewCancers2021

Immune Checkpoint Inhibitors in Prostate Cancer.

Shobi Venkatachalam, Taylor R McFarland, Neeraj Agarwal, Umang Swami

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
11.0field-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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  4. Human Group IIA Secreted Phospholipase AInternational journal of molecular sciences · 2026
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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

4 authors at 2 institutions in 1 country.

Shobi VenkatachalamDepartment of Internal Medicine, Nazareth Hospital, Philadelphia, PA 19152, USA.
Taylor R McFarlandDepartment of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Neeraj AgarwalDepartment of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Umang SwamiDepartment of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0003-3518-0411
University of Utah · USNazareth Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic prostate cancer is a lethal disease with limited treatment options. Immune checkpoint inhibitors have dramatically changed the treatment landscape of multiple cancer types but have met with limited success in prostate cancer. In this review, we discuss the preclinical studies providing the rationale for the use of immunotherapy in prostate cancer and underlying biological barriers inhibiting their activity. We discuss the predictors of response to immunotherapy in prostate cancer. We summarize studies evaluating immune checkpoint inhibitors either as a single agent or in combination with other checkpoint inhibitors or with other agents such as inhibitors of androgen axis, poly ADP-ribose polymerase (PARP), radium-223, radiotherapy, cryotherapy, tumor vaccines, chemotherapy, tyrosine kinase inhibitors, and granulocyte-macrophage colony-stimulating factor. We thereafter review future directions including the combination of immune checkpoint blockade with inhibitors of adenosine axis, bispecific T cell engagers, PSMA directed therapies, adoptive T-cell therapy, and multiple other miscellaneous agents.

Indexed as

immune checkpoint inhibitorsprostate cancer

Identifiers

PMID34063238
PMCPMC8125096
OpenAlexW3158912843

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.