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PubMed2026

Oncogenic PIK3CA reprograms glutamine metabolism to drive bladder cancer progression.

BACKGROUND: Genomic analysis has revealed that approximately 40% of bladder cancer (BLCA) tumors harbor alterations in the PI3K/AKT pathway, with PIK3CA mutations occurring in 15-25% of cases. PIK3CA, which encodes the catalytic p110α subunit of PI3K, plays a critical role in regulating cell survival, proliferation, and metabolism. However, the metabolic and functional consequences of PIK3CA mutations in BLCA remain poorly defined. METHODS: To investigate the role of PIK3CA mutations in BLCA, we performed targeted sequencing on tumors from patients, identifying recurrent alterations. Using CRISPR/Cas9 knock-in models in SCaBER and UM-UC-3 cell lines, we introduced the PIK3CA E545K mutation to study its effects. We conducted transcriptomic profiling, targeted metabolomics, and stable isotope tracing to assess metabolic reprogramming. Functional assays measured proliferation, mitochondrial complex I activity, and glutaminolysis. Orthotopic xenografts in mice were used to evaluate in vivo tumor growth and metabolism. RESULTS: PIK3CA mutations were present in 20% of cases, consistent with TCGA data. The E545K and E545Q hotspots accounted for 70% of these mutations. PIK3CA E545K strongly activated PI3K/AKT signaling. Transcriptomic analysis revealed enrichment of OXPHOS, fatty acid metabolism, and mTORC1 signaling. Metabolomics indicated changes in TCA cycle metabolites and enhanced reductive carboxylation of glutamine to citrate, driving fatty acid synthesis. Mutant cells showed increased expression of GLS1 and FASN, higher proliferation rates, and elevated mitochondrial complex I activity. In vivo, PIK3CA-mutant xenografts displayed significantly increased tumor growth. CONCLUSION: PIK3CA mutations are frequent drivers of metabolic reprogramming in BLCA, leading to increased glutamine flux, elevated OXPHOS activity, and enhanced fatty acid synthesis, all of which contribute to tumor progression. These findings provide the first comprehensive evidence that PIK3CA-driven metabolic alterations are both biomarkers of aggressive disease and actionable therapeutic targets. The efficacy of PI3Kα inhibition in combination with metabolic targets may support its potential in precision medicine for PIK3CA-mutant BLCA and highlights the value of integrating metabolic biomarkers into treatment strategies for advanced BLCA.

Journal Article↗

PubMed2026

Inavolisib for PIK3CA-mutated advanced endometrial cancer: a multicentric, phase II, MITO END-4 trial.

BACKGROUND: The phosphatase and tensin homolog-phosphoinositide 3-kinase (PI3K)-protein kinase B (AKT) pathway is frequently altered in gynecological tumors, notably in endometrial cancer where PIK3CA mutations are found in nearly half of patients. Despite this, evidence of clinical activity of PI3K inhibitors in endometrial cancer is poor and limited. Alpelisib, an oral PI3K alpha-selective inhibitor, showed encouraging preliminary activity in advanced gynecological tumors harboring PIK3CA alterations. Inavolisib is a highly potent and selective PI3K inhibitor. PRIMARY OBJECTIVE(S): The MITO END-4 trial aims to assess the efficacy and safety of inavolisib in patients with endometrial cancer who have received platinum-based chemotherapy and immunotherapy. The primary objective is to determine the anti-tumor activity (assessed by objective response rate) of inavolisib in patients with advanced endometrial cancer with PIK3CA mutated tumors. STUDY HYPOTHESIS: The study tests the hypothesis that inavolisib has superior anti-tumor activity compared to historically available standard therapies in previously treated patients with advanced endometrial cancer harboring a PIK3CA mutation. TRIAL DESIGN: This is a phase II, single-arm, multicenter trial in which advanced endometrial cancer patients whose tumors harbor a pathogenic PIK3CA mutation will receive inavolisib. MAJOR INCLUSION/EXCLUSION CRITERIA: Patients aged 18 years and older with documented evidence of PIK3CA mutated advanced endometrial cancer (endometrioid, serous, clear cell, carcinosarcoma or mixed histology) will be enrolled. Patients have previously received at least 1 platinum-based chemotherapy in any setting (adjuvant or advanced) with or without immune checkpoint inhibitor, alone or in combination. Not more than 4 lines of therapy are allowed. Key exclusion criteria include uterine sarcoma and prior treatment with any PI3K, AKT, or mechanistic target of rapamycin (mTOR) inhibitor. PRIMARY ENDPOINT(S): Objective response rate defined as a complete response or partial response by the Investigator using RECIST v1.1 criteria over the whole treatment period. SAMPLE SIZE: 48 patients. ESTIMATED DATES FOR COMPLETING ACCRUAL: May 2028. TRIAL REGISTRATION: MITO END-4; EU-CT NUMBER: 2025-522981-61-00; NCT07522697.

Endometrial cancer↗

PubMed2024

Identification of breast cancer-associated PIK3CA H1047R mutation in blood circulation using an asymmetric PCR assay.

PURPOSE: To establish a highly sensitive and specific approach for the detection of circulating PIK3CA H1047R mutation in breast cancer (BC) patients and to investigate the association between the prevalence of PIK3CA H1047R mutation and clinical presentations. METHODS: A proper blocker was designed in an allele-specific manner and optimized for PCR-based identification of the PIK3CA H1047R mutation. The established technique was validated in cell-free DNA samples from 196 recruited BC patients. RESULTS: The allele-specific PCR assay with a properly designed blocker was able to detect the H1047R mutant variant with 0.01%. By applying the newly established assay, 62 cases (31.6% of the total recruited cases) were found to carry a blood-circulating H1047R mutant. Wherein, the detected mutant rates increased with disease stages from 2/18 (11.1%) of stage I to 17/71 (23.9%) of stage II, 20/53 (37.7%) of stage III, and 23/31 (42.6%) of stage IV (p = 0.025), respectively. Higher frequencies of H1047R mutation were associated with late-stage (p = 0.033) or recurrence (p = 0.045) or metastatic patients (p = 0.049) as well as radiation-treated human epidermal growth factor receptor 2 (HER2) positive BC (p = 0.004). PIK3CA mutant carriers were frequently observed in patients under the age of 50 who had liver-metastasized or brain metastases or lymph node-invaded (p < 0.05). CONCLUSION: A novel allele-specific PCR assay with high sensitivity was established successfully for the detection of the PIK3CA H1047R mutation in clinical practice.

Humans↗

PubMed2026

PIK3CA in Cancer: Structure, Biology, Alterations, and Actionability.

PIK3CA, which encodes the p110α catalytic subunit of phosphoinositide 3-kinase (PI3K), is one of the most frequently altered oncogenes in human cancer and a major driver of tumor initiation, progression, metastasis, and therapeutic resistance. Over the past two decades, advances in structural biology, cancer genomics, and translational research have substantially expanded our understanding of PIK3CA function and established the PI3K pathway as a clinically actionable therapeutic target. This review provides an overview of the structural organization and physiological functions of the PI3Kα complex, the molecular mechanisms underlying oncogenic activation, and the diverse spectrum of PIK3CA alterations across human malignancies. We also summarize the current landscape of PI3K-targeted therapies, highlighting both approved agents and emerging therapeutic strategies. Clinical evidence supports the rational integration of PI3K inhibitors with endocrine therapy, CDK4/6 inhibitors, MAPK pathway inhibitors, dual PI3K/mTOR inhibition, and immune checkpoint blockade. In addition, accumulating evidence indicates that PIK3CA plays a pivotal role in shaping the tumor immune microenvironment, providing a biological rationale for combining PI3K inhibition with immunotherapy. Finally, we discuss future directions in precision oncology, emphasizing integrated molecular profiling, liquid biopsy, single-cell and spatial technologies, functional genomics, and evolutionary approaches as complementary strategies to refine patient selection, overcome therapeutic resistance, and optimize clinical outcomes.

PI3K signaling↗

PubMed2026

High tumor mutational burden and PIK3CA mutations correlate with poor Merkel cell carcinoma-specific survival.

Merkel cell carcinoma (MCC) is a neuroendocrine carcinoma of the skin characterized by poor prognosis. This study aimed to explore the relationship between genetic alterations, tumor mutational burden (TMB), and MCC-specific survival (MCC-SS) in patients who underwent genomic profiling of tumors with OncoPanel. Univariate and multivariable analysis were used to assess the impact of genetic alterations on MCC-SS. Of the 188 identified patients, 164 were included in the analysis. The cohort had a mean age of 72.4 years (SD = 11.03), including 61.6% male. The median TMB was 5.32 (IQR = 3.04-25.53). Kaplan-Meier curves by high versus low TMB were significantly different (log-rank test, P = 0.017). PIK3CA (adjusted P = 0.003), SETBP1 (adjusted P = 0.002), KDR (adjusted P = 0.028), and RET (adjusted P = 0.033) were selected for multivariable analysis. In the multivariable regressions, only PIK3CA (HR = 2.07 [95% CI, 1.10-3.88]; P = 0.024) remained significant. PIK3CA remained significant across prespecified sensitivity analyses. In this study, high TMB and PIK3CA alterations were associated with poor MCC-SS. Identifying a higher-risk subgroup may inform risk stratification and motivate further evaluation of PI3K pathway targeting in future studies.

Humans↗

PubMed2014

Single cell mutational analysis of PIK3CA in circulating tumor cells and metastases in breast cancer reveals heterogeneity, discordance, and mutation persistence in cultured disseminated tumor cells from bone marrow.

BACKGROUND: Therapeutic decisions in cancer are generally guided by molecular biomarkers or, for some newer therapeutics, primary tumor genotype. However, because biomarkers or genotypes may change as new metastases emerge, circulating tumor cells (CTCs) from blood are being investigated for a role in guiding real-time drug selection during disease progression, expecting that CTCs will comprehensively represent the full spectrum of genomic changes in metastases. However, information is limited regarding mutational heterogeneity among CTCs and metastases in breast cancer as discerned by single cell analysis. The presence of disseminated tumor cells (DTCs) in bone marrow also carry prognostic significance in breast cancer, but with variability between CTC and DTC detection. Here we analyze a series of single tumor cells, CTCs, and DTCs for PIK3CA mutations and report CTC and corresponding metastatic genotypes. METHODS: We used the MagSweeper, an immunomagnetic separation device, to capture live single tumor cells from breast cancer patients' primary and metastatic tissues, blood, and bone marrow. Single cells were screened for mutations in exons 9 and 20 of the PIK3CA gene. Captured DTCs grown in cell culture were also sequenced for PIK3CA mutations. RESULTS: Among 242 individual tumor cells isolated from 17 patients and tested for mutations, 48 mutated tumor cells were identified in three patients. Single cell analyses revealed mutational heterogeneity among CTCs and tumor cells in tissues. In a patient followed serially, there was mutational discordance between CTCs, DTCs, and metastases, and among CTCs isolated at different time points. DTCs from this patient propagated in vitro contained a PIK3CA mutation, which was maintained despite morphological changes during 21 days of cell culture. CONCLUSIONS: Single cell analysis of CTCs can demonstrate genotypic heterogeneity, changes over time, and discordance from DTCs and distant metastases. We present a cautionary case showing that CTCs from any single blood draw do not always reflect metastatic genotype, and that CTC and DTC analyses may provide independent clinical information. Isolated DTCs remain viable and can be propagated in culture while maintaining their original mutational status, potentially serving as a future resource for investigating new drug therapies.

Bone Marrow↗

PubMed2026

Oncogenic PIK3CA enhances collective migration of mammary epithelial cells through ERK wave propagation.

Oncogenic mutations of the PIK3CA gene, which encodes the catalytic subunit of the phosphatidylinositol 3-kinase (PI3K) enhance cell migration via ERK (ERK1 and ERK2, also known as MAPK3 and MAPK1, respectively) activation. We analyzed the factors regulating collective cell migration (CCM) of genome-edited MCF10A cell lines carrying hotspot PIK3CA mutations E545K or H1047R. H1047R enhanced CCM and promoted the propagation of waves of ERK activity backwards from the wound edge, whereas E545K impaired both coordinated CCM and ERK activity wave formation. The distance traveled by ERK activity waves correlated with directional persistence of migrating cells. Inhibition of cell contractility stimulated ERK wave propagation and efficient CCM of E545K cells but impaired ERK waves and CCM in control cells. Impaired ERK wave propagation was consistently associated with non-linear cell-cell junctions and the loss of polarized distribution of actomyosin. Taken together, these analyses suggest that polarized actomyosin contractility and pulsatile ERK activation must be constrained in the territory of a phase diagram compatible with mechanotransduction of ERK waves across cell-cell junctions to achieve highly coordinated and efficient collective migration.

Cell Movement↗

PubMed2026

PIK3CA Polymorphisms in Cervical Cancer: Differential Impact of rs6443624 and rs141178472.

BACKGROUND: Cervical cancer remains a major cause of mortality in low- and middle-income settings. We assessed whether two PIK3CA single-nucleotide polymorphisms (SNPs) rs6443624 (A/C) and rs141178472 (C/T) are associated with disease risk, clinicopathological features, and survival. MATERIALS AND METHODS: In a prospective case control study at a tertiary center, 154 participants were enrolled (77 cases, 77 controls). Genomic DNA was isolated from FFPE cervical tumors (QIAamp DNA FFPE Tissue Kit) and genotyped using TaqMan allelic discrimination. Clinicopathological variables (FIGO stage, histology, grade, treatment, tumor-infiltrating lymphocytes [TILs]) were abstracted from records. Genotype distributions were compared by Pearson chi-square. Associations with clinicopathological features used chi-square/Fisher's exact as appropriate; ANOVA compared age across genotypes. Overall survival (OS) was estimated by Kaplan-Meier and compared with the log-rank test; mean OS with SE and 95% CI is reported. RESULTS: Cases were predominantly locally advanced at presentation and squamous histology; most were moderately differentiated. rs6443624 differed significantly between cases and controls (χ²=21.1, p<0.001), with CC over-represented in cases and CA less frequent. rs141178472 showed no significant case control difference (χ²=2.9, p=0.086). For OS, rs6443624 showed a significant genotype effect (log-rank χ²=23.45, p=0.001): AA had the poorest survival, CA the longest, CC intermediate. rs141178472 was not associated with OS (χ²=1.06, p=0.588). Genotype clinicopathological correlations for stage group, grade, TILs, and treatment were non-significant or inconsistent, with some comparisons limited by small sample sizes. CONCLUSION: The PIK3CA rs6443624 variant appears to influence both susceptibility and prognosis in cervical cancer, highlighting its potential as a biomarker for molecular risk stratification. Validation in larger, multi-center cohorts incorporating HPV/p16 assessment and extended follow-up is warranted to confirm its clinical relevance.

Humans↗

PubMed2025

Recurrent FGFR2 and PIK3CA Mutations in Sialoblastoma.

PURPOSE: Sialoblastoma is an extremely rare low-grade malignant salivary gland neoplasm that presents at birth or early infancy and has heterogeneous clinical behavior. Due to its rarity, the molecular landscape remains incompletely characterized. We aimed to expand the current understanding of the genetic alterations in sialoblastoma through comprehensive molecular analysis. METHODS: Five sialoblastoma cases were retrieved from four institutional archives. Clinical and pathologic review was performed, and targeted next-generation sequencing was conducted using clinically validated panels. Copy number analysis was performed on four cases. RESULTS: The cohort included five patients with tumors located in parotid gland (n = 2), minor salivary glands (n = 2), and submandibular gland (n = 1). Four patients were diagnosed before 6 months of age. Histologically, all tumors showed solid organoid nests with primitive basaloid cells, dense fibrous stroma, and mitotic activity ranging from 8 to 25 per 10 high-power fields. Recurrent FGFR2 p.C382R variants were identified in 80% (4/5) of cases. Additional alterations were seen in FGFR2 p.C382R mutated tumors, including PIK3CA hotspot mutations in two cases (p.R88Q, p.R38H) and a truncating FGFR2 variant (p.L776Rfs) in one. The single tumor that lacked FGFR2 mutations harbored a CTNNB1 p.I35T variant and showed more favorable histologic features. Copy number analysis revealed recurrent whole-chromosome gains of chromosomes 8, 10, and 11. CONCLUSION: A distinct subset of sialoblastoma has FGFR2 p.C382R hotspot mutation as the predominant driver mutation. Tumors with this mutation tend to have solid growth pattern, aggressive histologic features, and clinical behavior. The identification of concurrent genomic alterations expands the molecular landscape of this rare tumor. The detection of alternative drivers, such as CTNNB1 hotspot mutations typical of basal cell adenoma, also suggests that a subset of sialoblastoma may represent other salivary gland tumors presenting in infancy.

Humans↗

PubMed2025

In-depth assessment of BRAF, NRAS, KRAS, EGFR, and PIK3CA mutations on cell-free DNA in the blood of melanoma patients receiving immune checkpoint inhibition.

INTRODUCTION: Circulating tumor DNA (ctDNA) holds promise for guiding immune checkpoint inhibitor (ICI) therapy and stratifying responders from non-responders. While tumor-informed ctDNA detection approaches are sensitive and mutation-inclusive, they require tumor tissue, which limits applicability in real-world settings. Conversely, tumor-agnostic methods often have limited genomic coverage. In this study, we evaluated a tumor-agnostic, broad-panel ctDNA assay in patients with advanced melanoma treated with ICI. METHODS: We conducted a prospective analysis of 241 longitudinal samples from 39 patients with unresectable stage III/IV melanoma using a SYSMEX targeted NGS panel covering 1,114 COSMIC mutations. Plasma samples were collected at baseline and during ICI therapy. The assay's sensitivity reached seven mutant molecules, corresponding to a 0.07% mutation allele frequency (MAF). ctDNA profiles were compared with matched tumor tissue and correlated with clinical features and survival. RESULTS: At baseline, ctDNA was detected in 64.5% of patients. Common mutations included BRAFV600E (43.8%) and NRASG12D (36.4%), followed by KRAS, EGFR, and PIK3CA variants. Overall tissue-plasma concordance was 51.6%, with more extended biopsy-plasma intervals associated with discordance (p = 0.0105). Notably, 12.2% of cases exhibited partial concordance, characterized by shared mutations and additional plasma-only alterations, underscoring the complementary value of blood-based profiling. Persistent or re-emerging ctDNA positivity post-therapy correlated with shorter progression-free survival (PFS, p = 0.003), while ctDNA-negative patients showed significantly improved outcomes. Patients that remained ctDNA-negative had significantly longer progression-free survival (median not reached) compared to those with persistent ctDNA positivity (median 3 months) or those converting to positive (median 7.5 months; p = 0.0073). Early NRAS and KRAS ctDNA levels strongly predicted poor response (p = 0.0069 and p = 0.028). The prognostic impact extended beyond canonical drivers, as non-hotspot variants also correlated with the outcome. Notably, even low-level ctDNA persistence (5-10 MM/mL) carried adverse prognostic implications (p = 0.0054). Concerning a shorter PFS, ctDNA positivity was also associated with elevated S100 levels (p = 0.047). Organ-specific mutation enrichment (e.g., KRASG12D in brain, EGFRG719A in lymph nodes) suggested possible metastatic tropism. CONCLUSION: Broad tumor-agnostic ctDNA analysis effectively identified clinically relevant mutations and predicted outcomes in ICI-treated melanoma patients. This approach enables tissue-independent and real-time ctDNA monitoring and may inform patient selection and therapeutic strategies in future interventional trials.

Humans↗

PubMed2026

Multitargeted comparative evaluation suggests 2-Aoeobenoxmide shows favourable in silico binding compared to Tucatinib against ERα, HER2, AKT1, EGFR, and PIK3CA in breast cancer.

Breast cancer is a leading cause of cancer-related morbidity and mortality globally, with the WHO reporting approximately 2.3 million new cases and 685,000 deaths annually. Drug resistance in breast cancer complicates treatment, with mutations in critical proteins contributing to therapy failure. Key oncogenic proteins involved in breast cancer progression-namely ERα (a ligand-activated nuclear receptor; PDB: 1A52) and the kinase domains of HER2 (PDB ID: 3PP0), AKT1 (PDB ID: 4EJN), EGFR (PDB ID: 4I23) and PIK3CA (PDB ID: 7R9V)-are pivotal in tumour progression and resistance mechanisms. Targeting these proteins using multitargeted therapeutic strategies may overcome resistance by disrupting key signalling pathways involved in cell proliferation, survival, and metastasis. Such combinatorial approaches promise to improve treatment efficacy and patient outcomes in cases of resistant breast cancer. In this study, we performed multitarget docking on prepared and validated protein structures against the ZINC natural compound library using HTVS, SP, and XP, with pose validation using MM-GBSA. We identified 2-Aoeobenoxmide (2-[1-(2-amino-2-oxo-ethoxy)-6-oxo-benzo[c]chromen-3-yl]oxyacetamide, ZINC134008) with docking and MM-GBSA scores ranging from -8.162 to -10.327 kcal/mol and from -47.18 to -57.62 kcal/mol, respectively, and compared the results with the FDA-approved drug Tucatinib, which exhibited lower binding affinity scores. We further evaluated pharmacokinetic properties using QikProp and electronic properties using DFT (Jaguar) and compared the descriptors of 2-Aoeobenoxmide with those of Tucatinib and with accepted reference ranges. We also performed the WaterMap for 5 nanoseconds (ns), computed various energies, interactions and hydration sites, and the comparison suggests that 2-Aoeobenoxmide shows more favourable hydration-site displacement and binding interactions than Tucatinib. Additionally, a 100 ns MD Simulation has resulted in far less deviation, fluctuations, and intermolecular interactions than Tucatinib, suggesting stable protein-ligand interactions, while the binding free energy and total complex energy computed across 0-1000 frames of the MD trajectories indicate that 2-Aoeobenoxmide is a promising in silico candidate. Importantly, because the entire study is computational, the findings should be interpreted as in silico hypotheses, and experimental validation through in vitro and in vivo assays is warranted before any clinical translation is considered.

Humans↗

PubMed2026

Associations of TILs and genomic alterations in HER2+ early breast cancer.

This study investigated the associations between tumor-infiltrating lymphocytes (TILs), genomic features, and prognosis in HER2+ early breast cancer (EBC) patients receiving adjuvant trastuzumab. We retrospectively analyzed 864 HER2+ EBC patients from Shanghai Ruijin Hospital (2009-2017). The optimal threshold of TILs for predicting disease-free survival (DFS) and overall survival (OS) was explored. Whole-exome sequencing (WES) on 261 tumors assessed the mutational profiles, tumor mutational burden (TMB), and copy number alteration (CNA). Associations between these genomic features, TIL levels, and prognosis were further evaluated. TILs showed a right-skewed distribution (median: 15%, IQR: 1-30%), and higher TIL levels were significantly associated with hormone receptor negativity and high histologic grade (P < 0.001). A 15% TIL threshold optimally predicted prognosis, with low-TIL (≤15%, 63.0%) patients showing inferior DFS (HR: 1.63, P = 0.009) and OS (HR: 2.12, P = 0.037). WES identified frequent mutations in TP53 (62.8%), PIK3CA (34.5%), and BRCA2 (9.6%). A higher TIL density was observed in TP53-wild-type, low-TMB or low-CNA tumors (P < 0.05). PIK3CA mutations conferred a significant DFS advantage. Integrating TIL level with PIK3CA or BRCA2 mutational status yielded distinct DFS trajectories (log-rank P = 0.023 and 0.040, respectively); patients with both high TIL levels and either PIK3CA or BRCA2 mutations had the most favorable outcomes. Stromal TILs at a 15% cutoff provide robust prognostic information in trastuzumab-treated HER2+ EBC. Integrating TIL levels with PIK3CA or BRCA2 mutational status enables refined risk stratification, offering a practical framework for personalized treatment decisions.

Humans↗

PubMed2026

Emerging Strategies Targeting the PI3K/AKT/mTOR Pathway in HR+/HER2- Advanced Breast Cancer.

Hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) breast cancer accounts for approximately 70% of breast cancer cases. Despite recent advances with cyclin-dependent kinase 4/6 inhibitors (CDK4/6i), resistance inevitably develops, often driven by activation of the phosphatidylinositol 3-kinase (PI3K)-AKT-mammalian target of rapamycin (mTOR) pathway. Genetic alterations such as PIK3CA mutations (present in ~ 45% of HR+/HER2- tumors), AKT1 mutations, and PTEN loss contribute to endocrine resistance and poor outcomes. This review summarizes emerging strategies targeting this pathway to overcome resistance in advanced disease. Isoform-specific PI3K inhibitors, including alpelisib and inavolisib, have demonstrated clinically meaningful progression-free survival benefits in PIK3CA-mutated populations, with inavolisib showing improved tolerability and efficacy. In contrast, pan-PI3K inhibitors such as buparlisib have been constrained by toxicity. Targeting downstream signaling, AKT inhibitors have also shown benefit: capivasertib has demonstrated clinical efficacy leading to US Food and Drug Administration approval, while ipatasertib has yielded encouraging results, particularly in tumors harboring PIK3CA, AKT1, or PTEN alterations. Mammalian target of rapamycin inhibitors, notably everolimus, have shown efficacy irrespective of mutation status. The dual PI3K-mTOR inhibitor (gedatolisib) has also shown promising progression-free survival benefit in a PIK3CA wild-type population. Next-generation agents, including mutant-selective PI3Kα inhibitors and bi-steric mTOR complex 1 inhibitors, are under active investigation. Optimal sequencing of these agents alongside endocrine therapy and CDK4/6i options remain a critical question, as does integration of genomic testing to guide therapy. Future directions include rational combination strategies, improved biomarker-driven selection, and novel modalities such as proteolysis-targeting chimeras (PROTACs). Collectively, these advances aim to enhance durability of response, minimize toxicity, and improve survival in HR+/HER2- metastatic breast cancer.

Humans↗

PubMed2026

Tumor genomic landscape of older patients with metastatic breast cancer☆.

BACKGROUND: Metastatic breast cancer (MBC) in older patients has distinct clinical and histologic characteristics. Elucidating the genomic basis of MBC helps identify potential therapeutic targets to improve outcomes for older patients with MBC. PATIENTS AND METHODS: Using a prospective database and targeted DNA sequencing (OncoPanel), we examined MBC's genomic landscape in older patients (age ≥70 years at MBC diagnosis) and compared findings with those in younger (aged <50 years) and middle-aged (aged 50-69 years) patients. After classifying single nucleotide variants (SNVs) and copy number variations (CNVs) as oncogenic (via OncoKB), the frequencies of SNVs and CNVs, tumor mutational burden (TMB), and oncogenic signaling pathways were compared by age group using Fisher's exact tests. We estimated the association between continuous age at MBC diagnosis and mutations via multivariate logistic regression analysis, adjusting for race, stage at initial diagnosis, subtype, histology, and sample tested (primary versus metastatic). RESULTS: Our study included 2379 patients [853 (35%) younger, 1311 (55%) middle-aged, and 215 (9%) older] who underwent OncoPanel testing between 2013 and 2020. The most frequent tumor alterations in older patients were SNVs in PIK3CA (44%), TP53 (33%), CDH1 (22%) and amplifications in CCND1 (18%). After adjustment, older age was associated with higher frequency of SNVs in CDH1 [odds ratio (OR) = 1.43, 95% confidence interval (CI) 1.21-1.68, q < 0.001], MAP3K1 [OR = 1.30, 95% CI 1.10-1.54, q = 0.008], and PIK3CA [OR = 1.21, 95% CI 1.11-1.31, q < 0.001] and fewer SNVs in TP53 [OR = 0.84, 95% CI 0.77-0.91, q < 0.001]. Patients in the older group were more likely to have tumors with ≥10 mutations/megabase than the youngest patients (26% versus 17%, P = 0.003). CONCLUSIONS: In this large cohort of patients with MBC, the tumor genomic landscape differed between older and younger patients even after accounting for tumor subtype. Older patients were more likely to have high-TMB and PIK3CA-mutated tumors, highlighting the importance of genomic testing for treatment applications in this population.

NGS↗

PubMed2026

[State Changes and Stability Grading of Driver Genes in Non-small Cell Lung Cancer Based on Repeated NGS Testing].

BACKGROUND: Next-generation sequencing (NGS)-based driver gene testing has become a routine component of molecular subtyping and precision therapy for non-small cell lung cancer (NSCLC). Dynamic genomic monitoring facilitates early detection of resistance-related molecular alterations and informs timely therapeutic adjustments. However, standardized criteria for evaluating the stability of serial NGS testing are currently lacking, and the applicability of NGS using formalin-fixed paraffin-embedded (FFPE) specimens for dynamic monitoring remains poorly defined. This study aims to establish a stability grading system for driver gene status alterations based on repeated NGS testing, and to provide evidence-based support for clinical repeat biopsy strategies. METHODS: Data from 1232 patients with NSCLC who underwent two or more NGS tests on FFPE tissue specimens at Beijing Chest Hospital between June 2019 and April 2026 were collected retrospectively. Patients with an interval of ≥4 months between the initial and last tests were included to ensure the representativeness of temporal analysis, resulting in a main analysis cohort of 942 patients. The Kappa consistency test was used to evaluate the state stability of nine core driver genes [epidermal growth factor receptor (EGFR), Kirsten rat sarcoma viral oncogene homolog (KRAS), anaplastic lymphoma kinase (ALK), ROS proto-oncogene 1, receptor tyrosine kinase (ROS1), mesenchymal‑epithelial transition factor (MET), rearranged during transfection (RET), v-raf murine sarcoma viral oncogene homolog B1 (BRAF), erb‑b2 receptor tyrosine kinase 2 (ERBB2), and phosphatidylinositol‑4,5‑bisphosphate 3‑kinase catalytic subunit alpha (PIK3CA)] and to construct a five‑level grading system. Paired variant allele frequency (VAF) differences were compared using the Wilcoxon signed‑rank test. Independent influencing factors for mutation accumulation were identified by binary Logistic regression. RESULTS: The state stability of the nine genes was classified into five levels: EGFR showed high stability (Kappa=0.838), ROS1/ALK/KRAS good stability, BRAF/PIK3CA/RET moderate stability, and ERBB2 low stability, and MET showed high instability. MET exhibited the highest rate of state change (9.3%) with a raw observed agreement of 90.7%. Its Kappa value (0.172) was influenced by the low prevalence (3.7%) compression effect and should therefore be interpreted alongside the observed agreement (90.7%) and the prevalence-adjusted and bias-adjusted Kappa (PABAK). The VAF of PIK3CA increased significantly (P=0.005). T790M positivity increased from 5.8% to 10.8%, and 30 new C797S mutations were detected at the last test (13 with T790M, 17 without). The overall rate of new driver gene variants in the main cohort was 18.0%. Binary Logistic regression showed that a lower number of initial mutated genes was the only independent predictor of new variants [odds ratio (OR)=0.399, P<0.001], while sex and detection interval showed no independent association. CONCLUSIONS: A five level stability grading system for state changes of driver genes in NSCLC based on repeated NGS testing has been established. MET showed the most frequent state changes, which should be interpreted in conjunction with the prevalence effect. The VAF increase of PIK3CA is an observational finding, and its clinical significance requires further prospective validation. A lower initial mutation burden may reflect tumor clonal complexity and was associated with a higher likelihood of subsequent acquisition of new variants. FFPE based NGS is applicable for repeated testing at clinical treatment decision nodes.

Humans↗

PubMed2026

Genetic mutations in metastatic adenocarcinoma of unknown primary.

INTRODUCTION: Although several genomic alterations have been reported in adenocarcinoma of unknown primary (ACUP), molecularly targeted therapies are not yet clinically established, and comprehensive genomic profiling (CGP) is rarely used in daily practice. AIM: We aimed to clarify the molecular landscape and prognostic impact of key mutations in recurrent or metastatic ACUP. MATERIALS AND METHODS: Data from 480 consecutive ACUP patients registered in Japan's National Cancer Center (C-CAT) between June 2019 and August 2025 were analyzed. Somatic mutations were identified using the FoundationOne CDx platform. Overall survival (OS) was assessed by Kaplan-Meier analysis, log-rank tests, and multivariate Cox proportional hazards modeling. RESULTS: The most frequent alterations were TP53 (59.4%), KRAS (31.5%), CDKN2A (26.3%), KMT2D (22.3%), LTK (17.9%), NOTCH3 (16.9%), STK11 (16.3%), CDKN2B (15.8%), ERBB2 (15.4%), and GNAS (15.2%). Patients harbored an average of 17.3 9.9 mutations. Mutations in GNAS (p = 0.046) and PIK3CA (p = 0.025) were associated with better OS, whereas ARID1A (p = 0.049) and NOTCH1 (p = 0.038) predicted worse OS. In Cox analysis, hazard ratios (HR [95% CI]) were 0.57 (0.36-0.92, p = 0.020) for GNAS, 0.57 (0.33-0.96, p = 0.033) for PIK3CA, 1.98 (1.27-3.09, p = 0.0024) for ARID1A, and 1.84 (1.17-2.91, p = 0.0090) for NOTCH1. CONCLUSIONS: GNAS and PIK3CA mutations were linked to favorable outcomes, while ARID1A and NOTCH1 alterations indicated poor prognosis in ACUP. These results highlight the prognostic significance of specific genomic alterations and support integrating CGP into the clinical management of ACUP.

Humans↗

PubMed2026

A PMS2-deficient pediatric high-grade glioma with PI3K-pathway mutations and adjacent developmental venous anomaly suggestive of CMMRD.

PURPOSE: Constitutional mismatch repair deficiency (CMMRD) is a rare hereditary cancer predisposition syndrome that frequently manifests with pediatric high-grade gliomas. However, recognition remains challenging, particularly in the absence of a clear family history. We report a pediatric high-grade glioma with PMS2 deficiency and complex molecular alterations to highlight key diagnostic clues and the importance of routine mismatch repair assessment. METHODS: Clinical, radiological, histopathological, immunohistochemical, and molecular findings of an 8-year-old girl presenting with a high-grade glioma were retrospectively evaluated. Immunohistochemistry included glial and mismatch repair markers. Targeted next-generation sequencing was performed to assess tumor mutational burden and pathogenic variants. RESULTS: Neuroimaging revealed a right frontoparietal mass associated with an adjacent developmental venous anomaly. Histopathology demonstrated a diffuse pediatric-type high-grade glioma with pseudopapillary architecture and marked mitotic activity. Immunohistochemistry showed diffuse p53 overexpression in tumor cells and complete loss of PMS2 expression in both tumor and non-neoplastic cells, supporting constitutional mismatch repair deficiency. Molecular analysis revealed an ultra-hypermutated profile with a tumor mutational burden of 117.4 mutations/Mb, a pathogenic PMS2 frameshift variant, and co-occurring alterations in TP53, PIK3CA, PIK3R1, and PTEN. The presence of PI3K-pathway mutations alongside a venous anomaly suggested a potential biological association. CONCLUSION: This case illustrates the characteristic clinicopathological and molecular features of CMMRD-associated pediatric high-grade glioma and underscores the critical role of routine mismatch repair immunohistochemistry. Integrated histological and genomic evaluation is essential for accurate diagnosis, appropriate genetic counseling, and potential therapeutic implications. Key Points • This case represents a pediatric high-grade glioma arising in the setting of PMS2-related constitutional mismatch repair deficiency (CMMRD). • The tumor exhibited an ultra-hypermutated profile with co-occurring TP53, PIK3CA, PIK3R1, and PTEN mutations. • Loss of PMS2 expression in both tumor and non-neoplastic cells was critical in establishing the diagnosis of CMMRD. • The presence of a developmental venous anomaly may relate to underlying PIK3R1 pathway alterations. • Routine mismatch repair immunohistochemistry is essential in pediatric high-grade gliomas, even in the absence of a family history.

Humans↗

PubMed2026

Genomic profiling by circulating tumor DNA in patients with hormone receptor-positive/HER2-negative advanced breast cancer: Prevalence of actionable mutations across treatment lines.

INTRODUCTION: Plasma next-generation sequencing (NGS) is endorsed by ESMO as an alternative to tissue testing in advanced hormone receptor-positive, HER2-negative metastatic breast cancer (HR+/HER2- mBC), particularly after progression on endocrine therapy plus CDK4/6 inhibitors. However, prospective real-world data across distinct therapeutic contexts remain limited. PATIENTS AND METHODS: In this prospective observational study conducted within a nationwide cancer network in Brazil, centralized plasma NGS, and tissue NGS when available, was performed in two independent cohorts: prior to initiation of first-line endocrine therapy in the metastatic setting (Cohort 1) and at progression on endocrine therapy plus a CDK4/6 inhibitor (Cohort 2). The primary objective was to evaluate plasma-detected ESR1 mutation prevalence across these therapeutic contexts, and secondarily to assess other actionable drivers detected by plasma or tissue NGS. RESULTS: Among 86 collected plasma samples, 72 (84%) had evaluable NGS results (Cohort 1, n = 37; Cohort 2, n = 35). ESR1 mutations were identified in 18.9% of patients in Cohort 1 and 40.0% in Cohort 2, mostly at low variant allele fractions (<0.5%), corresponding to an absolute prevalence difference of 21.1 percentage points (95% CI, -0.2 to 40.3; P value=0.07). When considering any actionable alteration detected by plasma, including ESR1, PIK3CA, AKT1, PTEN, BRCA1, BRCA2, and ERBB2, prevalences were 43.2% and 68.6%, respectively (P value=0.04). Only four patients had ESR1 mutations identified in tissue, three in metastatic samples. Plasma-tissue concordance was higher for PIK3CA mutations (85.1%). CONCLUSION: Plasma NGS identified clinically meaningful ESR1 mutation rates across both contexts, supporting guideline-endorsed plasma-based genomic profiling in HR+/HER2- mBC.

CDK4/6 inhibitors↗