ReviewCancer control : journal of the Moffitt Cancer Center
Baseline Uncommon EGFR Mutations in Non-Small-Cell Lung Cancer: Structure-Function Classification and Clinical Evidence Interpretation.
Review in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this narrative review, we examine baseline uncommon epidermal growth factor receptor (EGFR) mutations in non-small-cell lung cancer (NSCLC) through a structure-function classification framework and clinical evidence interpretation. Baseline uncommon EGFR mutations are molecularly heterogeneous, and exon-based classification alone cannot fully capture their structural diversity or variable sensitivity to EGFR-targeted therapy. By relating kinase-domain conformation to therapeutic sensitivity, structure-function classification offers a biologically grounded lens for interpreting this heterogeneity alongside sequence-based classification. This review focuses on baseline uncommon EGFR mutations, including EGFR exon 20 insertion (ex20ins) mutations, P-loop and αC-helix-compressing (PACC) mutations, and classical-like and long-tail non-ex20ins variants, while distinguishing them from acquired resistance alterations after EGFR tyrosine kinase inhibitor (EGFR-TKI) exposure. Typical loop-region ex20ins mutations can impose steric constraints near the ATP-binding pocket and are generally associated with limited activity of conventional EGFR-TKIs. Among ex20ins-directed approaches, amivantamab plus carboplatin-pemetrexed chemotherapy is supported by mature randomized first-line evidence in approved and accessible settings; oral ex20ins-directed EGFR-TKIs require interpretation according to treatment line, regulatory context, study design, and follow-up maturity. For PACC mutations, EGFR-TKI activity has been reported mainly in selected recurrent variants, whereas evidence remains uneven across agents, variants, compound mutations, and less common PACC-related alterations. Among classical-like and long-tail non-ex20ins variants, L861Q illustrates how clinically defined cohorts may combine mutations with distinct structural and pharmacologic profiles, whereas long-tail alterations remain dependent on limited variant-level evidence. Overall, the evidence base remains heterogeneous, spanning randomized trials, single-arm studies, retrospective cohorts, real-world datasets, conference abstracts, and early clinical reports. Taken together, the evidence supports a structure-informed approach to baseline uncommon EGFR-mutant NSCLC, while treatment interpretation and clinical application should remain grounded in evidence level, clinical context, and treatment availability. Prospective subtype-stratified studies, consistent evidence grading, and standardized molecular reporting with structure-informed annotations are needed to improve clinical interpretation and inform treatment strategies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.