Evidence map›Paper›PMID 42646625›Full record

ArticleMedical sciences (Basel, Switzerland)2026

De Novo Actionable Genomic Alterations in High-Grade Pulmonary Neuroendocrine Carcinomas: Therapeutic Implications of Targeted Treatment.

Ari Raphael, Nir Peled, Roni Gillis, Hovav Nechushtan, Walid Shalata, Elizabeth Dudnik

Abstract readMulticenter Study
In one paragraph

Article in Medical sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ari RaphaelDavidoff Cancer Center, Rabin Medical Center, Petah Tikva 4941492, Israel.
Nir PeledHelmsley Cancer Center, Shaare Zedek Medical Center, Jerusalem 9103102, Israel.
Roni GillisHelmsley Cancer Center, Shaare Zedek Medical Center, Jerusalem 9103102, Israel.ORCID 0000-0001-6226-2573
Hovav NechushtanFaculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.ORCID 0000-0003-3411-800X
Walid ShalataThe Legacy Heritage Cancer Center and Dr. Larry Norton Institute, Soroka University Medical Center, Beer-Sheva 8410101, Israel.ORCID 0000-0002-7570-4550
Elizabeth DudnikJoyce & Irving Goldman Medical School, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel.ORCID 0000-0001-6971-3576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesHigh-grade pulmonary neuroendocrine carcinoma (HGNEC-L), including SCLC and LCNEC, is aggressive and usually treated according to SCLC paradigms. The clinical relevance of de novo actionable genomic alterations (AGA) remains incompletely defined.

methodsWe performed a retrospective multicenter analysis of advanced HGNEC-L with de novo AGA, assessing rwORR, rwDCR, rwPFS, and OS. Findings were contextualized by a structured literature review and exploratory pooled reconstructed-IPD Cox analysis, with targeted therapy modeled as a source-stratified time-dependent covariate.

resultsTen patients from four tertiary centers were included. Most were women (90.0%) and never-smokers (70.0%); histology was LCNEC in 60.0% and SCLC/mixed SCLC in 40.0%. AGA included

conclusionsDe novo AGA-positive HGNEC-L represents a clinically relevant subgroup with potential sensitivity to genotype-matched targeted therapy, supporting comprehensive molecular profiling and early targeted therapy consideration.

Indexed as

Carcinoma, NeuroendocrineLung NeoplasmsAgedFemaleGenomicsHumansMaleMiddle AgedMolecular Targeted TherapyMutationRetrospective StudiesALKEGFRhigh-grade neuroendocrine carcinomaLCNECSCLCtargeted therapy

Identifiers

PMID42646625
PMCPMC13515143

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Registered trials

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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.