ArticleOncoTargets and therapy2025
A Rare Histologic Transformation from EGFR-Positive Lung Adenocarcinoma to EGFR-Negative Squamous Cell Carcinoma After EGFR-TKIs Resistance: A Case Report.
Article in OncoTargets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Case reports of a double threat: when cancer and hidden congenital heart defects collide: malignant tamponade unveils a hidden pulmonary venous anomaly.European heart journal. Case reports · 2026Article
- Case Report: squamous transformation after long-term osimertinib in EGFR-mutant lung adenocarcinoma with retained EGFR/TP53 alterations.Frontiers in oncology · 2026Article
- Advances in understanding the mechanisms underlying acquired resistance to third-generation tyrosine kinase inhibitors in non-small cell lung cancer.Frontiers in cell and developmental biology · 2026Review
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Authors and funding
8 authors.
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Abstract
Lung adenocarcinoma (ADC) harboring epidermal growth factor receptor (EGFR) mutations rarely transforms into squamous cell carcinoma (SCC) following resistance to targeted therapy. Here, we present a case of EGFR-positive ADC that transformed into EGFR-negative SCC after developing resistance to EGFR tyrosine kinase inhibitors (TKIs). The patient experienced progressive disease after one cycle of chemotherapy and subsequently underwent five courses of tislelizumab combined with chemotherapy. Although the primary tumor showed a partial response to this combined regimen, intracranial metastases continued to progress, ultimately leading to the patient's death. Notably, the patient survived for 8 months after SCC transformation with immuno-chemotherapy, a significantly longer duration than the previously reported median survival of 3.5 months. This case underscores the occurrence of genomic instability, histological transformation, and dissociated response (DR) following treatment with EGFR-TKIs in EGFR-positive lung ADC. We hypothesize that these phenomena may be driven by tumor heterogeneity and the dynamic variability within the tumor microenvironment (TME).
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