Evidence map›Paper›PMID 42621139›Full record

ReviewiScience2026

The role of FGFR signaling in SCLC and NSCLC: Current insights and therapeutic perspectives.

Beom Chang Kim, Gyu Tae Lee, Minho Jeong, Hyoung Jin Choi, Kee-Beom Kim

Abstract readReview
In one paragraph

Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

5 authors.

Beom Chang KimSchool of Life Science and Biotechnology, College of Natural Sciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Gyu Tae LeeSchool of Life Science and Biotechnology, College of Natural Sciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Minho JeongSchool of Life Science and Biotechnology, College of Natural Sciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Hyoung Jin ChoiSchool of Life Science and Biotechnology, College of Natural Sciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Kee-Beom KimSchool of Life Science and Biotechnology, College of Natural Sciences, Kyungpook National University, Daegu 41566, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains a leading cause of cancer related mortality worldwide and is characterized by marked biological heterogeneity and frequent therapeutic failure. Although lung cancer is broadly classified into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) based on distinct cellular origins and clinical behaviors, both entities rely on aberrant signaling networks to sustain tumor growth and disease progression. Despite advances in biomarker guided therapeutic strategies, approaches centered on individual genetic alterations have shown limited durability, in part due to tumor evolution and cellular plasticity. Among signaling pathways shared across lung cancer subtypes, fibroblast growth factor (FGF) and fibroblast growth factor receptor (FGFR) signaling has been implicated in regulating tumor proliferation, angiogenesis, and adaptive responses to therapy. Here, we argue that the limited clinical success of FGFR-targeted therapies in lung cancer reflects constraints of alteration-centered targeting rather than an absence of biological relevance. We propose that FGFR signaling functions as a context-dependent adaptive node, whose therapeutic significance emerges under selective pressure and acquired resistance.

Indexed as

clinical trialsFGFR signalingFGFR-targeted therapynon-small cell lung cancersmall cell lung cancertherapeutic resistance

Identifiers

PMID42621139
PMCPMC13486901

What OpenQuestion holds

Textmetadata
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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.