Evidence map›Paper›PMID 39002493›Full record

ReviewLung cancer (Amsterdam, Netherlands)2024

Targeting of drug-tolerant persister cells as an approach to counter drug resistance in non-small cell lung cancer.

Motohiro Izumi, Daniel B Costa, Susumu S Kobayashi

Abstract readReview
In one paragraph

Review in Lung cancer (Amsterdam, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

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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

3 authors.

Motohiro IzumiDepartment of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Daniel B CostaDepartment of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Susumu S KobayashiDepartment of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA. Electronic address: skobayas@bidmc.harvard.edu.

Funding

Unmet needs for specific subsets of EGFR mutated lung cancerR37CA218707 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI COSTA, DANIEL BOTELHO · 2018 to 2024
$2.8M
Role of KAT5 in lung cancerR01CA240257 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KOBAYASHI, SUSUMU · 2020 to 2024
$2.0M
NCI NIH HHS R01 CA240257NCI NIH HHS R37 CA218707
6 · The paper itself

Abstract

The advent of targeted therapies revolutionized treatments of advanced oncogene-driven non-small cell lung cancer (NSCLC). Nonetheless, despite initial dramatic responses, development of drug resistance is inevitable. Although mechanisms underlying acquired resistance, such as on-target mutations, bypass pathways, or lineage transformation, have been described, overcoming drug resistance remains challenging. Recent evidence suggests that drug-tolerant persister (DTP) cells, which are tumor cells tolerant to initial drug exposure, give rise to cells that acquire drug resistance. Thus, the possibility of eradicating cancer by targeting DTP cells is under investigation, and various strategies are proposed. Here, we review overall features of DTP cells, current efforts to define DTP markers, and potential therapeutic strategies to target and eradicate DTP cells in oncogene-driven NSCLC. We also discuss future challenges in the field.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmLung NeoplasmsAnimalsBiomarkers, TumorDrug ToleranceHumansMolecular Targeted TherapyMutationAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID39002493
PMCPMC11305904

What OpenQuestion holds

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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.