Evidence map›Paper›PMID 33506203›Full record

ReviewNeuro-oncology advances

Clinical correlates for immune checkpoint therapy: significance for CNS malignancies.

Nivedita M Ratnam, Stephen C Frederico, Javier A Gonzalez, Mark R Gilbert

Open access · goldAbstract readReview
In one paragraph

Review in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  3. Omnigene-GutAMB Express · 2024
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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 1 institution in 1 country.

Nivedita M RatnamNeuro-Oncology Branch, CCR, NCI, National Institutes of Health, Bethesda, Maryland, USA.
Stephen C FredericoNeuro-Oncology Branch, CCR, NCI, National Institutes of Health, Bethesda, Maryland, USA.
Javier A GonzalezNeuro-Oncology Branch, CCR, NCI, National Institutes of Health, Bethesda, Maryland, USA.
Mark R GilbertNeuro-Oncology Branch, CCR, NCI, National Institutes of Health, Bethesda, Maryland, USA.
National Institutes of Health · US

Funding

Translational ImmunologyZIABC011714 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILBERT, MARK · 2016 to 2024
$4.0M
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have revolutionized the field of cancer immunotherapy. Most commonly, inhibitors of PD-1 and CTLA4 are used having received approval for the treatment of many cancers like melanoma, non-small-cell lung carcinoma, and leukemia. In contrast, to date, clinical studies conducted in patients with CNS malignancies have not demonstrated promising results. However, patients with CNS malignancies have several underlying factors such as treatment with supportive medications like corticosteroids and cancer therapies including radiation and chemotherapy that may negatively impact response to ICIs. Although many clinical trials have been conducted with ICIs, measures that reproducibly and reliably indicate that treatment has evoked an effective immune response have not been fully developed. In this article, we will review the history of ICI therapy and the correlative biology that has been performed in the clinical trials testing these therapies in different cancers. It is our aim to help provide an overview of the assays that may be used to gauge immunologic response. This may be particularly germane for CNS tumors, where there is currently a great need for predictive biomarkers that will allow for the selection of patients with the highest likelihood of responding.

Indexed as

biomarkersclinical correlatesCNS malignanciesimmune checkpoint inhibitors

Identifiers

PMID33506203
PMCPMC7813206
OpenAlexW3110175514

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.