PIK3CA mutation

Consistent with this, bioinformatics analysis demonstrated that miR-124-3p expression is significantly lower in tumor tissues than in adjacent normal lung and further decreases in advanced T stage (T3-T4) compared to early stage (T1-T2). These findings indicate that miR-124-3p inhibits NSCLC progression via the ITGB1/PI3K/p-AKT axis and remains functional despite PIK3CA activation, supporting its potential as a therapeutic candidate.

These findings indicate that metformin synergistically enhances the antitumor activity of alpelisib in HER2-positive breast cancer by inhibiting oncogenic signaling and stemness pathways. Beyond its metabolic benefit in mitigating hyperglycemia, metformin may potentiate PI3K-targeted therapies, supporting further preclinical and clinical evaluation of this combination strategy.

P2, N=7, Active, not recruiting, M.D. Anderson Cancer Center | Trial completion date: Aug 2025 --> Feb 2027

Observational studies have associated use of aspirin and selective cyclooxygenase inhibitors with decreased recurrence and improved survival in patients with colon cancer...This was a post hoc analysis of the phase 3 Cancer and Leukemia Group B (now Alliance)/Southwest Oncology Group 80702 randomized clinical trial (2010-2015) assessing adjuvant celecoxib vs placebo and 3 vs 6 months of adjuvant 5-fluorouracil, leucovorin, and oxaliplatin for stage III colon cancer...The findings of this post hoc analysis suggest that ctDNA status has the potential to inform clinical decision-making among patients with stage III colon cancer who should consider adjuvant celecoxib in addition to conventional chemotherapy. ClinicalTrials.gov Identifier: NCT01150045.

Endometrial carcinomas with SB-GN represent a distinct and aggressive tumor group characterized by solid growth pattern, prominent necrosis, frequent basaloid morphology, high rates of CTNNB1 mutations, and aberrant β-catenin staining. Our results demonstrate that endometrial carcinomas with SB-GN and PiMHECs share similar clinicopathologic and molecular profiles, supporting a unified biological spectrum.

These proof-of-concept results support the utility of integrating intrasubject dynamics, "biological knowledge"-based feature reduction (pathway-level feature reduction grounded in prior biological knowledge; eg, N-of-1-pathway analytics), and reproducible MLOp workflows can overcome cohort size limitations in infrequent disease, offering a scalable, interpretable solution for high-dimensional transcriptomic classification. Future work will extend these advances across various therapeutic and small cohort designs.

These findings establish MCLRP as a dual-purpose predictive-analytical tool that not only enhances drug response forecasting but also uncovers mutation-specific pharmacological vulnerabilities through systems-level pattern recognition.

Lastly, we evaluate its feasibility for multi-cancer early detection in population-scale screening using pooled plasma samples. The EC-SNV-Seq assay can enable highly sensitive and specific identification of low-frequency mutations, facilitating early cancer diagnosis and personalized treatment strategies.

These results support ipatasertib plus HP as a safe and promising maintenance strategy for HER2-positive breast tumors harboring PIK3CAmut.

This finding suggests that BRCA1-associated USC may be sensitive to poly ADP-ribose polymerase inhibitors, and also raises the question of whether risk-reducing hysterectomy should be considered for patients with BRCA1 mutation. USC with a BRCA1 mutation may have molecular characteristics distinct from those of sporadic USC, and further accumulation and analysis of such cases are needed to evaluate the clinical implications.

P1/2, N=792, Recruiting, Hoffmann-La Roche | N=580 --> 792 | Trial completion date: May 2028 --> Sep 2030 | Trial primary completion date: May 2028 --> Sep 2030

Mutational profiling pointed to enrichment of TP53 and PIK3CA mutations in tumors with and without necrosis, respectively. This study confirms the association of breast cancer necrosis with aggressive tumor features and reduced survival, and points to the BCNS score as a potential biomarker that should be further explored and validated to improve breast cancer diagnosis and management.