Evidence map›Paper›PMID 35038126›Full record

ArticleInvestigational new drugs2022

Real-world data of off-label drug use in patients with actionable genomic alterations on next-generation sequencing.

Gabriel Roman Souza, Ahmed Abdalla, Sukeshi Arora, Daruka Mahadevan

Abstract read
PubMed Publisher
In one paragraph

Article in Investigational new drugs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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.

Gabriel Roman SouzaDivision of Hematology and Medical Oncology, Mays Cancer Center, University of Texas Health San Antonio MD Anderson Cancer Center, Texas, USA. romansouza@uthscsa.edu.ORCID http://orcid.org/0000-0001-5498-2351
Ahmed AbdallaDivision of Hematology and Medical Oncology, Mays Cancer Center, University of Texas Health San Antonio MD Anderson Cancer Center, Texas, USA.
Sukeshi AroraDivision of Hematology and Medical Oncology, Mays Cancer Center, University of Texas Health San Antonio MD Anderson Cancer Center, Texas, USA.
Daruka MahadevanDivision of Hematology and Medical Oncology, Mays Cancer Center, University of Texas Health San Antonio MD Anderson Cancer Center, Texas, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction We analyzed the outcomes of patients with advanced cancers in our institution treated with off-label drugs targeting actionable genomic alteration based on next-generation sequencing who did not qualify for clinical trials. Purposes Our study endpoint was objective tumor response or stable disease at 16 weeks or later after treatment initiation. Methods Sixteen patients were included, 8 treated with immune checkpoint inhibitors targeting PD-L1 expression or TP53 mutations and 8 with other drugs. Tumors were analyzed based on PD-L1 expression, TP53 mutation, MSI, TMB, MMR status, and other targetable alterations. Results Of the 16 patients in the intention-to-treat group, no patients had an objective response after 16 weeks. Eleven patients met the primary study endpoint with stable disease, 8 in the immune checkpoint inhibitors group and 3 in the non-immune checkpoint inhibitors group. Using the log-rank test, the p-value for the difference between groups was 0.008. Conclusions In this study with off-label drugs, immune checkpoint inhibitors targeting TP53 mutations or PD-L1 expression were superior to the other drugs. This suggests the possibility of off-label use of anti-cancer drugs based on next-generation sequencing to be beneficial for advanced cancer patients without other therapeutic options.

Indexed as

B7-H1 AntigenLung NeoplasmsBiomarkers, TumorGenomicsHigh-Throughput Nucleotide SequencingHumansImmune Checkpoint InhibitorsMutationOff-Label UseB7-H1 AntigenBiomarkers, TumorImmune Checkpoint InhibitorsCancer drugsImmune checkpoint inhibitorsNext-generation sequencingOff-label drug usePD-L1TP53

Identifiers

PMID35038126
OpenAlexW4225816523

What OpenQuestion holds

Textmetadata
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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.