Evidence map›Paper›PMID 36707424›Full record

ArticleCancer immunology, immunotherapy : CII2023

Using EGFR amplification to stratify recurrent glioblastoma treated with immune checkpoint inhibitors.

Joshua S Friedman, Tomi Jun, Omid Rashidipour, Kuan-Lin Huang, Ethan Ellis, Priyanka Kadaba, Puneet Belani, Kambiz Nael, Nadejda M Tsankova, Robert Sebra and 1 more

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  6. Review
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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

11 authors at 5 institutions in 1 country.

Joshua S FriedmanDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, 10029, USA.
Tomi JunSema4, 333 Ludlow Street, Stamford, CT, 06902, USA.
Omid RashidipourDepartment of Pathology, Icahn School of Medicine at Mount Sinai, NY, 10029, USA.
Kuan-Lin HuangDepartment of Genetics and Genomic Sciences, Center for Transformative Disease Modeling, Tisch Cancer Institute, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, NY, 10029, USA.
Ethan EllisDepartment of Genetics and Genomic Sciences Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai New York, NY, 10029, USA.
Priyanka KadabaDepartment of Radiology, Sutter Health, Santa Rose, CA, 95403, USA.
Puneet BelaniDepartment of Radiology, Icahn School of Medicine at Mount Sinai, NY, 10029, USA.
Kambiz NaelDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Nadejda M TsankovaDepartment of Pathology, Icahn School of Medicine at Mount Sinai, NY, 10029, USA.
Robert SebraSema4, 333 Ludlow Street, Stamford, CT, 06902, USA.
Adília HormigoMontefiore Einstein Cancer Center, Departments of Hematology-Oncology, Neurosurgery and Microbiology & Immunology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, USA. adilia.hormigo@einsteinmed.edu.
Icahn School of Medicine at Mount Sinai · USSema4 (United States) · USAlbert Einstein College of Medicine · USSutter Santa Rosa Regional Hospital · USUniversity of California, Los Angeles · US

Funding

Integrative Approaches for Identifying Causal Gene-Cell Type Pairs of Complex DiseaseR35GM138113 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Kuan-lin Huang · 2020 to 2026
$3.0M
NIGMS NIH HHS R35 GM138113
6 · The paper itself

Abstract

purposeWhile immune checkpoint inhibitors (ICI) have had success with various malignancies, their efficacy in brain cancer is still unclear. Retrospective and prospective studies using PD-1 inhibitors for recurrent glioblastoma (GBM) have not established survival benefit. This study evaluated if ICI may be effective for select patients with recurrent GBM.

methodsThis was a single-center retrospective study of adult patients diagnosed with first recurrence GBM and received pembrolizumab or nivolumab with or without concurrent bevacizumab. Archival tissue was used for immunohistochemistry (IHC) and targeted DNA next-generation sequencing (NGS) analysis.

resultsMedian overall survival (mOS) from initial diagnosis was 24.5 months (range 10-42). mOS from onset of ICI was 10 months (range 1-31) with 75% surviving > 6 months and 46% > 12 months. Additional IHC analysis on tumors from eight patients demonstrated a trend of longer survival after ICI for those with elevated PD-L1 expression. NGS of samples from 15 patients identified EGFR amplification at initial diagnosis and at any time point to be associated with worse survival after ICI (HR 12.2, 95% CI 1.37-108, p = 0.025 and HR 3.92, 95% CI 1.03-14.9, p = 0.045, respectively). This significance was corroborated with previously tested EGFR amplification via in situ hybridization.

conclusionICI did not extend overall survival for recurrent GBM. However, molecular sequencing identified EGFR amplification as associated with worse survival. Prospective studies can validate if EGFR amplification is a biomarker of ICI resistance and determine if its use can stratify responders from non-responders.

Indexed as

Antineoplastic Agents, ImmunologicalGlioblastomaAdultErbB ReceptorsHumansImmune Checkpoint InhibitorsNeoplasm Recurrence, LocalProspective StudiesRetrospective StudiesAntineoplastic Agents, ImmunologicalEGFR protein, humanErbB ReceptorsImmune Checkpoint InhibitorsEGFR amplificationNext-generation sequencingNivolumabPembrolizumabRecurrent glioblastoma

Identifiers

PMID36707424
PMCPMC10992363
OpenAlexW4318323829

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.