EGFR mutation

P2, N=25, Recruiting, National Cancer Institute (NCI) | N=14 --> 25

P2, N=60, Recruiting, MedSIR | Trial primary completion date: Apr 2024 --> Dec 2025

Thus, we conclude that hedgehog regulates the cytotoxic sensitivity of NSCLC cells to TP4 by protecting against mitochondrial dysfunction and suppressing oxidative stress. These findings suggest that combined treatment of vismodegib and TP4 may be a promising therapeutic strategy for NSCLC.

P1/2, N=315, Active, not recruiting, Dizal Pharmaceuticals | Recruiting --> Active, not recruiting | Trial completion date: Jul 2024 --> Jul 2025 | Trial primary completion date: Oct 2023 --> Jul 2024

Erlotinib or osimertinib with selinexor in EGFR-mutant cells and trametinib plus selinexor in KRAS mutant abolish tumor cell proliferation. Selinexor with a PD-1 inhibitor with or without trametinib abrogates the tumor growth in the murine Lewis lung cancer model. An in-depth exploration of the functions of HMGB1 mRNA and protein is expected to uncover new potential targets and provide a basis for treating metastatic NSCLC in combination with ICI.

P1/2, N=28, Active, not recruiting, National Cancer Institute (NCI) | Recruiting --> Active, not recruiting | Trial completion date: Jun 2024 --> Jun 2025 | Trial primary completion date: Jun 2024 --> Jun 2025

P1/2, N=48, Active, not recruiting, Dana-Farber Cancer Institute | Trial completion date: Apr 2025 --> Apr 2026 | Trial primary completion date: Apr 2024 --> Apr 2025

The combined classifier, incorporating sub-region analysis and clinical parameters, demonstrated further improvement with an accuracy of 77.5%, AUC of 0.807, sensitivity of 77.5%, specificity of 77.5%, and NPV of 77.5%. The study suggests that sub-region-based 18F-FDG PET/CT radiomics enhances EGFR mutation prediction in solid lung adenocarcinoma, providing a practical and cost-efficient alternative to invasive EGFR testing.

Afatinib is effective for locally advanced metastatic NSCLC with uncommon EGFR mutations. Patients with G719X, compound G719X-S768I mutations, and tolerated doses of 20 or 30 mg had a longer median TTF than those with other mutations.

No abstract available

EGFR-TKIs showed great efficacy in terms of responses and survival in patients harboring exon 18 EGFR rare mutations. This may justify the use of targeted therapies as a potential treatment strategy for these patients.

Mutation profiles differed by histological type and metastases status and were significantly associated with PD-L1 expression. In the context of limited resources, our results may help prioritize patient for testing when tissue material and funding is limited.

Eventually, seven machine-learning (ML) algorithms were employed to evaluate the predictive accuracy of clinical, genomic, transcriptomic, and TCR repertoire data on DFS, showing that clinical and RNA features combination in the random forest (RF) algorithm, with area under the curve (AUC) of 97.5% and 83.3% in the training and testing cohort, respectively, significantly outperformed other methods. This study comprehensively profiled the genomic, transcriptomic, and TCR repertoire spectrums of Chinese early-stage Ns-NSCLC, shedding light on biological underpinnings and candidate biomarkers for prognosis development.

No abstract available

P2, N=85, Completed, M.D. Anderson Cancer Center | Active, not recruiting --> Completed | Trial completion date: Sep 2024 --> May 2024 | Trial primary completion date: Sep 2024 --> May 2024

Currently, the optimal treatment of metaplastic breast cancer remains uncertain. This article provides a comprehensive review on the clinical features, molecular characteristics, invasion and metastasis patterns, and prognosis of metaplastic breast cancer, as well as recent advancements in treatment strategies.

The use of radiomics-based methods for early discrimination of EGFR mutation status in NSCLC demonstrates relatively high accuracy. However, the influence of clinical variables cannot be overlooked in this process. In addition, future studies should also pay attention to the accuracy of radiomics in identifying mutation status of other genes in EGFR.

Finally, the HCC827 gefitinib-resistant cells showed increased secretion of the EMT inducer transforming growth factor (TGF)-β1, whose inhibition was able to partially restore gefitinib sensitivity. These data provide evidence that different levels of exposure to EGFR-TKIs in tumor masses might promote different mechanisms of acquired resistance.

All other women were diagnosed with stages III or IV of lung cancer. This indicates that the later stages of cancer contribute more cfDNA in plasma, making extraction less complicated.

Although both techniques were specific, Ki had a greater specificity than SUVmax when the cut-off value was set at 0.0250 ml/g/min for the differential diagnosis of lung cancer. At a cut-off value of 0.0350 ml/g/min, there was a 0.710 sensitivity for EGFR status prediction. If EGFR testing is not available for a patient, dynamic imaging could be a valuable non-invasive screening method.

No abstract available

No abstract available

No abstract available

Contrary to previous studies, our representative pediatric GC study provides evidence that GC has a strong predilection to arise on the background of specific molecular features (especially pedHGG_RTK2, pedHGG_A/B, EGFR and BCOR mutations, chromosome 6 rearrangements).

P=N/A, N=800, Recruiting, University of California, Davis | Trial completion date: Jun 2024 --> Dec 2026 | Trial primary completion date: Dec 2023 --> Dec 2026

P=N/A, N=100, Not yet recruiting, Pfizer | Initiation date: Jan 2024 --> Sep 2024

The study helped to devise an algorithm that emphasizes effective screening of the NSCLC cases for EGFR mutations with varying tumour content. Thus it helps in triaging the cases judiciously before proceeding with multigene testing.

P1, N=24, Active, not recruiting, Jonsson Comprehensive Cancer Center | Recruiting --> Active, not recruiting | Trial completion date: Jun 2025 --> Jan 2025 | Trial primary completion date: Jun 2024 --> Jan 2024

P2, N=40, Not yet recruiting, Jun Zhang, MD, PhD | Trial completion date: Jun 2027 --> Jun 2028 | Trial primary completion date: Jun 2025 --> Jun 2026

P=N/A, N=80, Recruiting, University of Washington | N=40 --> 80

We further validated potential multi-targeted inhibitors for wild-type and mutant HER1 kinases, exploring key amino acid residues through molecular dynamics simulations to understand molecular interactions. This predictive model offers a robust strategy that could significantly contribute to overcoming the challenges of developing deep learning models for drug discovery with limited data and exploring new frontiers in multi-targeted kinase drug discovery for EGFR family proteins.

P2, N=100, Active, not recruiting, Vestre Viken Hospital Trust | Trial completion date: Aug 2023 --> Dec 2025 | Trial primary completion date: Aug 2023 --> Jun 2025

HNF4α-positive non-mucinous adenocarcinomas included TRU-type and non-TRU-type cases; the latter tended to exhibit the high-grade phenotype with frequent loss of SMARCA4, and A549 was a representative cell line.

Notably, the inherited length of the CA-SSR I repeat, HERVK9 haploidy, and Exon 7 tetraploidy conferred three times higher odds ratio to survive for more than 10 years under therapy. This may add value in guiding therapies if determined during follow-up in circulating tumor cells or circulating tumor DNA and offers HERVK9 as a potential therapeutic target.

CYFRA21-1 and CEA have been identified as crucial factors for predicting EGFR mutations in non-stage IA NSCLC patients. The nomogram and 8 machine learning models that combined STMs with other clinical factors could effectively predict the probability of EGFR mutations.

The findings of the thematic analysis indicate that KRAS mutation in lung cancer, the prognosis following B-Raf proto-oncogene, serine/threonine kinase (BRAF) or rat sarcoma (RAS) mutations, and anti-epidermal growth factor receptor (EGFR)-related lung cancer are the significant hotspots in the given field. Considering the significant advancements made in direct targeting drugs like sotorasib, it is anticipated that interest in cancers associated with KRAS mutations will remain steadfast.

As such, we demonstrate that TDM for osimertinib is practical for future trials. We also validated the use of DBS as an alternative to conventional quantitation for exploration of TDM for osimertinib in larger trials and for other targeted therapies.

P1, N=350, Recruiting, AbbVie | Trial completion date: Oct 2025 --> May 2027

To date, more new agents and regimens can achieve satisfactory results in patients with NSCLC. In this review, we focus on recent advances and highlight the new approval of molecular targeted therapy for NSCLC patients with rare oncologic drivers.

Combining 18F-FDG PET-based intensity, volumetric features, and DL with clinical variables may improve the survival stratification in patients with advanced EGFR-mutated lung adenocarcinoma receiving TKI treatment. Implementing the prediction model across different generations of PET scanners may be feasible and facilitate tailored therapeutic strategies for these patients.

cfDNA from effusion CCS is a reliable and independent source of tumor DNA highly amenable for MT and complement results from other tumor DNA sources for comprehensive mutation profiling in LUAD patients.

P1, N=169, Active, not recruiting, AbbVie | Trial completion date: Mar 2024 --> Dec 2024 | Trial primary completion date: Mar 2024 --> Dec 2024