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PubMed2026

Genomic profiling as an option for ovarian cancer diagnostics.

INTRODUCTION: Ovarian cancer (OC) is a highly heterogeneous and lethal gynecological malignancy. Precision oncology has shifted the management paradigm to comprehensive molecular profiling. Genomic-based diagnostics are now a clinical necessity for accurate prognostic stratification and the rational selection of targeted therapeutics, such as PARP and immune checkpoint inhibitors. AREAS COVERED: This review evaluates current literature regarding the distinct genomic landscapes defining OC histotypes to underlined the role of molecular profiling in the diagnostic field of OC. We discuss the practical implementation, technical aspect, and clinical validity of the main molecular diagnostic platforms, focusing on tissue-based Comprehensive Genomic Profiling (CGP) and Homologous Recombination Deficiency (HRD). Furthermore, we explore emerging translational data on liquid biopsy (LBx) applications. EXPERT OPINION: While current tissue-based methodologies provide critical baseline data, the OC diagnostic paradigm must pivot from static testing to proactive and longitudinal tracking. Integrating advanced LBx approaches enables a real-time monitoring of dynamic parameters as minimal residual disease (MRD) and acquired resistance. Integrating these dynamic blood-based assays with multi-omic profiling and artificial intelligence (AI)-driven tools allows a full understanding of the complex tumor behavior.

Humans↗

PubMed2024

Genomic profiling and expanded use of targeted anticancer drugs in solid cancers with exhausted evidence-based treatment options (PRECODE): study protocol of a prospective, non-randomized, cohort study.

BACKGROUND: Genomic profiling of advanced solid cancer in patients with no further evidence based standard treatment options is a novel approach to identify potential experimental treatment options based on specific genomic alterations. Due to the expected short survival of these patients timely assessment of potential druggable targets is critical to minimize the risk of deterioration during the analysis. The primary objective of this prospective study is to evaluate the turnaround time for genomic profiling and the clinical investigational procedures. The secondary objectives are to investigate how often genomic alterations in tumor tissue gives rise to a matched treatment offer and evaluate the clinical outcome. METHODS: The PRECODE study is a prospective, non-randomized, single-center cohort study conducted at Departments of Oncology and Pathology, Odense University Hospital, Denmark. Enrollment between March 1, 2019 and December 31, 2024. Eligibility criteria are age ≥ 18 years, written informed consent, advanced solid tumors, exhausted treatment options, ECOG performance status 0-2, adequate organ function and life expectancy ≥ 3 months. A core needle biopsy is analyzed by next generation sequencing using a pan-cancer comprehensive panel. Results are discussed weekly at institutional/local and national multidisciplinary tumor boards. DISCUSSION: Strategies and methods for genomic profiling of advanced solid cancers differ. Rapid analysis and interpretation of sequencing data are key to avoiding delays in initiation potential experimental treatments, as these late-stage patients may quickly deteriorate. Although a highly optimized setup with fast-track clinical evaluation and genomic profiling has been established a subset will not be offered a targeted treatment due to deterioration. Local and national multidisciplinary teams have been established to optimize individualized treatment decisions. After genomic profiling a subset of patients will take part in clinical trials, which will constrain the reporting of overall survival or progression free survival. TRIAL REGISTRATION: Danish Ethics Committee, Projekt-ID: S-2018014, date of approval: 27- FEB- 2019) Danish Data Protection Agency (Journal no: 18/58329, date of approval: 23-NOV-2018). CLINICALTRIALS: gov Identifier: NCT05385081 (retrospectively registered).

Humans↗

PubMed2026

Real-World Actionability Analysis of Comprehensive Genomic Profiling Versus Single/Small-Gene Panels.

INTRODUCTION: Comprehensive genomic profiling (CGP) enables identification of patients eligible for targeted treatments, making it essential in the management of advanced cancer. This retrospective real-world study compared actionable mutations in CGP-tested patients with advanced/metastatic solid tumors to those who received single-gene/small-panel (SP) tests. METHODS: Patients aged > 18 years with advanced/metastatic solid tumors (including non-small cell lung cancer (NSCLC), colorectal cancer, prostate cancer, breast cancer, or melanoma) with a CGP or SP test reported between 1 January 2018, and 31 December 2022, were included. OncoKB-derived actionability was compared between the two cohorts. Inverse probability of treatment weighting (IPTW) was used to adjust for baseline characteristics. A weighted generalized linear model with log link was used to report actionability ratio (AR) and 95% confidence intervals (CI). RESULTS: Among 406 patients (CGP-tested cohort: 202, SP-tested cohort: 204), approximately half were diagnosed with NSCLC. After adjusting for baseline characteristics, CGP testing detected more actionable alterations than SP: OncoKB level 1 (50.0% versus 31.4%; AR 1.76 [95% CI: 1.24, 2.51]; p = 0.002), OncoKB level 2 (22.8% versus 10.3%; AR 2.53 [95% CI: 1.17, 5.48]; p = 0.018), and OncoKB level 1 or level 2 or level R1 (55.9% versus 41.2%; AR 1.5 [95% CI: 1.11, 2.01]; p = 0.008). CONCLUSIONS: CGP testing identified more actionable genetic alterations compared with SP testing methods for patients with advanced/metastatic NSCLC, colorectal cancer, prostate cancer, breast cancer, or melanoma. Expanding reimbursement and coverage for CGP testing as well as expanding CGP use can facilitate equitable treatment access for patients with advanced/metastatic cancer.

Actionable mutations↗

PubMed2026

Comprehensive genomic profiling and tumor mutational burden in parathyroid carcinoma: a nationwide real-world study from Japan.

PURPOSE: Parathyroid carcinoma (PC) is an extremely rare endocrine malignancy with limited treatment options for unresectable or recurrent cases. With the increasing use of comprehensive genomic profiling (CGP), treatment based on genomic findings is becoming more common. However, the frequency and clinical significance of elevated tumor mutational burden (TMB) in PC remain unclear because previous studies have been limited by small sample sizes. METHODS: We retrospectively analyzed genomic and clinical data of patients with PC registered in the Center for Cancer Genomics and Advanced Therapeutics database in Japan between June 2019 and March 2025. TMB values were obtained as reported by each CGP assay. TMB-H was defined as TMB ≥ 10 mut/Mb for descriptive analyses. We also assessed genomic alterations, microsatellite instability (MSI) status, and clinicogenomic characteristics. RESULTS: Twenty-five patients with PC were included. The median assay-reported TMB was 4.0 mut/Mb (range, 0-35). Seven tumors (28.0%) had assay-reported TMB values of ≥ 10 mut/Mb, including three (12.0%) with TMB ≥ 20 mut/Mb. The most frequently altered genes were CDC73 (40%), TP53 (32%), and MEN1 (24%). No co-alterations were observed between CDC73 and MEN1 or between CDC73 and TP53. One tumor was MSI-high and was included in the TMB-H group. POLE alterations were detected in three cases, including two tumors in the TMB-H group. CONCLUSION: This nationwide, real-world study demonstrated that a subset of PCs showed elevated assay-reported TMB values and genomic features potentially related to abnormalities in DNA replication or repair pathways. These findings support the clinical relevance of comprehensive genomic profiling in identifying the molecular heterogeneity and potential therapeutic opportunities for this rare malignancy.

Humans↗

PubMed2026

KRAS Expression Complements Genomic Profiling in Identifying Therapeutic Vulnerability in Gastric Cancer.

BACKGROUND: Gastric cancer (GC) remains a major therapeutic challenge. Although alterations in the RAS pathway occur in over 50% of tumors, only a limited proportion are clinically actionable. We investigated whether KRAS expression complements genomic profiling for patient stratification and therapeutic vulnerability in GC. METHODS: Comprehensive genomic profiling was performed in 19 Taiwanese GC patients and compared with TCGA-STAD data (n = 434). KRAS mRNA expression and overall survival were evaluated by meta-analysis of 13 independent cohorts (n = 2,521). Protein-level validation was performed by immunohistochemistry in an independent cohort (n = 121). Functional KRAS dependency and response to combined MEK/SHP2 inhibition were assessed in eight GC cell lines. RESULTS: KRAS amplification was entirely contained within the KRAS-high population, whereas most KRAS-high tumors lacked detectable amplification. High KRAS expression was associated with poorer overall survival (HR 1.23, p = 0.001) and remained an independent prognostic factor after multivariable adjustment (adjusted HR 1.24, p = 0.003). Protein-level analysis showed a concordant trend. KRAS expression correlated strongly with functional dependency (R2 = 0.88, p = 0.005), was enriched in MSI and CIN subtypes, and identified cell lines with enhanced sensitivity to combined MEK/SHP2 inhibition. CONCLUSIONS: KRAS expression complements genomic profiling by identifying biologically relevant KRAS-dependent GCs beyond mutation or amplification alone. Integrating expression-based stratification with genomic profiling may improve patient selection for RAS pathway-directed combination therapies.

Biomarker↗

PubMed2026

Matched targeted therapy use after broad genomic profiling in advanced Non-Small cell lung cancer.

INTRODUCTION: While broad genomic profiling is increasingly used in advanced NSCLC (aNSCLC), the impact of test results on subsequent guideline-concordant targeted therapy selection remains incompletely understood. METHODS: Using a merged dataset of two large, nationwide, patient-level databases, we identified patients who were diagnosed with aNSCLC 2017-2023, had potentially actionable genomic profiling findings, and initiated systemic therapy. Patients were categorized into actionability subgroups based on contemporaneous regulatory approvals and NCCN guideline recommendations. Within each subgroup, we assessed receipt of guideline-concordant targeted therapy within 24 months, including potential underuse (non-receipt of recommended treatment) and overuse (receipt of non-recommended treatment). RESULTS: Among 6620 patients (67.4% ≥65 years, 54.6% female, 68.9% White), guideline-concordant targeted therapy use varied substantially by actionability category: 2313 (89.6%) of 2582 patients with available 1st-line on-label options received them (10.4% underuse), while 212 (67.3%) of 315 patients with available later-line on-label options received them after 1st-line (32.7% underuse). Among 441 patients with available guideline-concordant off-label options, only 122 (27.7%) received them (72.3% underuse). Conversely, 238 (8.6%) of 3282 patients received matched but guideline-discordant off-label options, representing overuse of ineffective or unestablished therapies. Smoking history, squamous histology, and high PD-L1 expression were associated with lower targeted therapy receipt. CONCLUSIONS: In this cohort study of aNSCLC care, the guideline concordance of targeted therapy use varied by clinical actionability of molecular testing results. Underuse was more common in patients with later-line and off-label targeted therapy options. Patients with classical smoking-related risk profiles were substantially less likely to receive targeted therapy even when actionable alterations were identified.

Journal Article↗

PubMed2026

Real-World Testing Landscape and Costs of Companion Diagnostics and Comprehensive Genomic Profiling Across Nine Solid Tumors in Japan: A 10-Year Analysis.

INTRODUCTION: This study aimed to examine utilization, testing sequences, and associated genomic testing costs of companion diagnostics (CDx) and comprehensive genomic profiling (CGP) among Japanese patients with nine representative solid tumors. METHODS: This retrospective study used anonymized data, from Medical Data Vision Co., Ltd. (MDV; January 2015-March 2025) and JMDC Inc. (JMDC; January 2015-January 2025), for patients with solid tumors of nine cancer types who underwent CDx and/or CGP testing or received any cancer treatment. Patient demographics, distribution and testing sequences of CDx and CGP, and associated genomic testing costs per patient were evaluated. RESULTS: Proportions of CDx and CGP testing varied across nine cancer types. Most patients underwent CDx testing once or twice, although some cohorts, particularly with non-small cell lung cancer (NSCLC), were tested thrice or more. Biliary tract cancer demonstrated the highest proportions for CGP testing alone, and both CDx and CGP testing. For both CDx and CGP testing, the greatest median costs were observed for ovarian and breast cancers, with bimodal peaks near US dollars (USD) 4000 and USD 5000. Median CDx costs were equal to or higher for patients who underwent both CDx and CGP testing compared with those who had CDx testing alone, particularly in breast, pancreatic, prostate, and ovarian cancers. For CDx testing alone, NSCLC, ovarian cancer, and prostate cancer had the highest costs, with a small peak near USD 1333. These results were mostly consistent across databases. CONCLUSIONS: Multiple CDx testing followed by CGP testing increased genomic testing costs per patient. Early implementation of CGP testing could reduce redundant testing and associated delays in treatment, thereby contributing to lower overall healthcare costs and more efficient treatment selection amid rapid advances in targeted therapies.

Administrative claims database↗

PubMed2026

Establishment of a multi-targeted magnetic combined enrichment system for circulating tumor cells in gastric cancer and analysis of their genomic profiles.

Background: This study aims to establish an efficient Circulating tumor cells (CTCs) multi-targeted magnetic combined sorting system for Gastric cancer (GC), while comparing it with tissue and circulating tumor DNA (ctDNA) samples to evaluate its feasibility and consistency for genomic profiling analysis. Method: Establish an efficient CTCs sorting system for GC targeting epithelial cell adhesion molecule, cell surface vimentin, and protein tyrosine kinase 7, and evaluate its physicochemical properties and cell capture efficiency. Assess the feasibility of tumor cell detection through animal experiments. Sixty-eight GC patients underwent CTCs detection. Clinical information was analyzed to evaluate the clinical utility of CTCs in the auxiliary diagnosis of GC. Next-generation sequencing was performed on GC tissue, CTCs, and ctDNA samples to assess the consistency of genetic mutations across different sample types. Results: The constructed CTCs sorting system exhibits excellent physicochemical properties, achieving a capture rate of 94.68%. Animal studies confirm a positive correlation between tumor cells count and tumor volume. The number of CTCs in the blood of GC patients is significantly correlated with tumor size, stage, and metastasis. The CTCs count in GC patients is significantly higher than in healthy individuals and high-risk groups for cancer, with diagnostic sensitivity and specificity of 97.29% and 97.73%, respectively. The mutation detection rate in CTCs samples was significantly higher than that in tissue and ctDNA samples. The concordance rate between CTCs and tissue mutations was 24.32%, while the concordance rate between CTCs and ctDNA mutations was 19.05%. Conclusion: This study successfully established a multi-target combined CTCs multi-targeted magnetic combined sorting system for GC. CTCs detection based on this system can be used for the auxiliary diagnosis of GC patients. Furthermore, compared to GC tissue and ctDNA samples, CTCs detection enables more comprehensive genomic profiling analysis and serves as an important supplement to GC genomic analysis.

Humans↗

PubMed2026

PDGFRA amplification could be a poor prognostic factor of advanced undifferentiated pleomorphic sarcoma in a comprehensive genomic profiling cohort.

BACKGROUND: Undifferentiated pleomorphic sarcoma (UPS) is the most common pleomorphic sarcoma, and its genomic landscape has been analysed, albeit in small numbers. This study aimed to clarify the relationship between gene variants and the prognosis of patients with advanced UPS. METHODS: This retrospective cohort study was conducted to analyse the data of patients with advanced UPS using a registry of the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database up to Oct 2025 in Japan, analysed using comprehensive genomic profiling assay. RESULTS: A total of 233 patients with advanced UPS were identified in the C-CAT database; 151 men (64.8%), median age: 60.2 years. TP53 variant (55%) was the most frequent event and the rate of Platelet-derived growth factor receptor alpha (PDGFRA) and KDR amplification were 9% and 6%, respectively. PDGFRA amplification co-occurred with KDR amplification (P < 0.001). Survival from the initiation of chemotherapy was analysed by adjusting for length bias inherent in the database using the Kaplan-Meier estimator, an established method of adjustment. Patients with PDGFRA amplification (11 patients) had a worse prognosis than those without PDGFRA amplification [hazard ratio 2.9, 95% confidence interval 1.2-6.9 (P = 0.02)]. TP53 alterations (P = 0.24) were not associated with prognosis. In addition, treatment time with pazopanib with PDGFRA amplification [4 patients, 2.3 months (1.2-11.2 months)] was not different with those without PDGFRA amplification [28 patients, 3.8 months (0.9 months-not reached)] (P = 0.52). CONCLUSIONS: For patients with advanced UPS, PDGFRA amplification was a poor prognostic factor and is not related to the efficacy of pazopanib treatment.

PDGFRA amplification↗

PubMed2026

Comprehensive Genomic Profiling Timeliness Beyond Laboratory Turnaround Time: A Patient-Facing Pathway Analysis.

AIM: We evaluated the timeliness of the patient-facing comprehensive genomic profiling (CGP) pathway by separating laboratory and post-laboratory intervals within an expert panel-mediated process, using direct disclosure of results to patients as the endpoint. METHODS: This single-center retrospective study included adult CGP test episodes performed under government-funded cancer genomic medicine at a Japanese university hospital between October 2019 and November 2025. The primary outcome was patient-centered turnaround time (TAT), defined as the interval from informed consent to direct disclosure of the CGP result to the patient. Laboratory TAT and pathway intervals were summarized descriptively, and laboratory TAT was compared across assays. RESULTS: Among 882 CGP test episodes, median laboratory TAT was 14 days (interquartile range [IQR], 12-16) among 871 evaluable episodes. Among 828 evaluable episodes, median patient-centered TAT was 41 days (IQR 35-45). The laboratory analysis retained observed long intervals, including a maximum of 72 days; no episode was excluded solely because laboratory TAT exceeded 56 days. These findings indicate that laboratory TAT was only one component of the longer consent-to-disclosure pathway. CONCLUSION: In this routine-care CGP pathway, patient-facing timeliness depended on the full process from consent to direct patient disclosure. Patient-centered TAT should be monitored alongside laboratory TAT as a care-delivery measure.

comprehensive genomic profiling↗

PubMed2025

Genomic profiling of aggressive pathologic features in lung adenocarcinoma.

INTRODUCTION: Pathologic features involving LVI (lympho-vascular invasion), PNI (perineural invasion), STAS (spread through air spaces), and Grade 3 pattern (from the International Association for the Study of Lung Cancer grading system) are related to having an aggressive phenotype and linked to poor prognosis. However, few studies have conducted in-depth analyses of these features simultaneously with genomic profiling. METHODS: A total of 1559 sequencing of adenocarcinoma samples were included in the common driver mutations analysis, 1306 samples were brought into genomic mapping analysis. OncoSG's East Asian ancestry dataset was implemented for Tumor-Node-Metastasis-Biomarker (TNMB) classification and prognostic assessment. RESULTS: EGFR was more significantly prevalent in LVI negativity (P = 0.021), STAS negativity (P = 0.002), and moderate grade (P < 0.001). ALK was significantly interrelated with LVI (P = 0.028), STAS (P < 0.001), and poor grade (P < 0.001); ROS1 and STAS positivity (P = 0.031), poor grade (P = 0.016) were significantly related. KRAS (P = 0.003) and BRAF-V600E (P = 0.002) were only significantly intertwined with poor grade. Apart from common driver mutations, TP53, CHEK2, KEAP1, PTEN, RB1, NF1 were significantly enriched in LVI samples (P < 0.05). TP53, PTEN, CTNNB1, HGF, NF1 were more prominent in STAS (P < 0.01). TP53, LRP1B, NF1 were significantly more prevalent in Grade 3 pattern (P < 0.001). The mixture of STK11, PTEN, and TOP2A generated by exclusive mutations may be a potential predictor of TNMB categorization towards survival. The HR of stage II compared I of TNMB was 2.28 (95 % CI 1.36-3.86, P < 0.001), while stage III compared II was 1.95 (95 % CI 1.04-3.21, P = 0.031). CONCLUSIONS: This analysis demonstrated the correlation of pathologic features with common driver mutations, key mutations and canonical oncogenic signaling pathways. The data highlighted the similarities and differences among these features horizontally, and provide new insights in TNMB classification and prognostic assessment.

Humans↗

PubMed2026

Incidental MSH6 Germline Pathogenic Variant Identified through Tumor-only Comprehensive Genomic Profiling in a Patient with Small Cell Lung Cancer.

A 55-year-old woman was diagnosed with limited-disease small cell lung cancer (LD-SCLC) after incidental detection of a lung nodule. First-line chemotherapy achieved partial response, but recurrence occurred after one year. During second-line therapy, comprehensive genomic profiling (CGP) revealed a germline MSH6 frameshift mutation. Although lung tumor immunohistochemistry showed the retained expression of mismatch repair (MMR) protein, a prior colon cancer specimen showed the loss of MSH6 expression and deficient MMR expression. Germline genetic testing confirmed Lynch syndrome. Cascade testing identified the same mutation in her daughter. This case outlines a tumor-to-germline workflow with testing of at-risk relatives and highlights the importance of prudent interpretation of presumed germline variants.

Humans↗

PubMed2026

Paired Exome-Based Comprehensive Genomic Profiling and Germline Genetic Testing for Unselected Patients With Colorectal Cancer in a Multicenter Prospective Study.

BACKGROUND AND AIMS: Comprehensive genomic profiling (CGP) for tumors and germline genetic testing (GGT) inform precision therapy and clinical management of patients with colorectal cancer (CRC), and evidence is growing in support of universal paired CGP-GGT patient testing. However, the utility of combining CGP and GGT for early-stage CRC (ESC) and early-onset CRC (EOC) is unclear. METHODS: We performed a prospective, multisite study featuring GGT using an 80+ gene next-generation sequencing platform and exome-based CGP among CRC patients (unselected for age, stage, family history) receiving care at Mayo Clinic Cancer Centers between April 1, 2018, and March 31, 2020. RESULTS: A total of 150 CRC patients had GGT and exome-based CGP performed. ESC patients had an enrichment of high microsatellite instability and high tumor mutation burden. High microsatellite instability was also enriched in those with smoking history, and in tumors with mutated BRAF, homologous recombination deficiency, or at least 1 variant in the rat sarcoma virus pathway. Moreover, patients with smoking history were enriched in BRAF and other Tier 1 or 2 variants overall. Sixteen percent of patients harbored a pathogenic germline variant, most frequent being in Lynch syndrome genes. Paired GGT and CGP testing had high rates of clinically significant findings (≈70%) with the most frequent being high tumor mutation burden status. Pathway and mutational signature analysis revealed frequent CGP mutations in DNA repair and cell cycle pathways. CONCLUSION: These data suggest that universal, combined GGT-CGP increases clinical utility for EOC and ESC patients. This is key for EOC patients who tend to experience poorer outcomes. CGP-GGT expedites germline resolution for tumor mutations in hereditary cancer genes, reducing delays and facilitating identification of relevant therapies, clinical trials, and management recommendations.

Colorectal Cancer↗

PubMed2025

Clinical utility of comprehensive genomic profiling test for colorectal cancer: a single institution prospective observational study.

PURPOSE: Next-generation sequencing (NGS) has revolutionized cancer treatment by enabling comprehensive cancer genomic profiling (CGP) to guide genotype-directed therapies. While several prospective trials have demonstrated varying outcomes with CGP in patients with advanced solid tumors, its clinical utility in colorectal cancer (CRC) remains to be evaluated. METHODS: We conducted a prospective observational study of CGP in our hospital between September 2019 and March 2024. Overall survival (OS) of the patients who received CGP-based therapy and those did not was compared, and genomic variables associated with OS were evaluated. RESULTS: A total of 100 patients with CRC underwent CGP using four platforms. The median patient age was 67 years, and most had a good performance status. The most frequent genomic alterations were TP53 (82%), APC (82%), and KRAS (55%). Actionable mutations such as ERBB2 amplification and BRAF V600E were identified in some patients, and 9% received CGP-based therapy, including immune checkpoint inhibitors for tumor mutational burden-high or microsatellite instability-high tumors. Patients receiving CGP-based therapy had longer OS from expert panel discussion (16.0 vs. 10.8 months) compared to those who did not. Alterations in TP53, SMAD4, and NF1 were associated with worse OS. Interestingly, PTEN mutations were linked to improved survival. TP53 alterations were more common in left-sided CRC. CONCLUSION: Although some patients with CRC received CGP-guided therapy, a statistically significant survival benefit was not observed. However, TP53 and SMAD4 mutations were identified as negative prognostic markers, indicating their potential as targets for future drug development.

Humans↗

PubMed2026

Serial CSF CA19-9 monitoring and CSF genomic profiling in ERBB2-mutant lung adenocarcinoma with leptomeningeal metastasis: a case report.

Leptomeningeal metastasis (LM) from ERBB2-mutant lung adenocarcinoma is difficult to treat and monitor because systemic disease and leptomeningeal disease may evolve discordantly. Evidence regarding cerebrospinal fluid (CSF) genomic profiling and serial CSF tumor marker monitoring in ERBB2-mutant non-small cell lung cancer with LM remains limited. We report a 48-year-old woman initially diagnosed with stage IB mucinous lung adenocarcinoma harboring an ERBB2 exon 20 p.G776delinsVC mutation. After surgery and adjuvant chemotherapy, she developed nodal recurrence and later presented with lower back pain and lower-limb numbness. LM was clinically diagnosed based on neurological symptoms, magnetic resonance imaging and CSF cytopathology. She received craniospinal irradiation, systemic therapy and subsequent intrathecal treatment. At month 33, CSF CA19-9 was markedly elevated despite no clear radiographic systemic progression. CSF next-generation sequencing(NGS) detected the same ERBB2 exon 20 p.G776delinsVC mutation as the primary lung tumor, with a higher variant allele fraction in CSF than in lung tissue.The patient subsequently received trastuzumab deruxtecan and sequential intrathecal therapy with pemetrexed, etoposide, cytarabine and pemetrexed rechallenge. Intrathecal treatment was adjusted according to serial CSF CA19-9 levels, neurological status, imaging findings, systemic disease activity and treatment-related toxicities. CSF CA19-9 was not used as a stand-alone criterion for progression or treatment modification.At the latest follow-up, she remained alive more than 36 months after the clinical diagnosis of LM. This case suggests that CSF NGS and serial CSF CA19-9 may provide further insights into disease activity within the integrated assessment of systemic and leptomeningeal disease. Their clinical applicability is still under investigation and necessitates future validation.

CA19-9↗

PubMed2026

Genomic Profiling of Anophthalmia/Microphthalmia-Associated CNVs Reveals Complex Genotype-Phenotype Correlations and Incomplete Penetrance.

BACKGROUND: Anophthalmia/microphthalmia (A/M) is a severe congenital ocular malformation characterized by the complete absence or small size of the eye bulb. Interpreting copy number variations (CNVs) in A/M is challenged by variable genotype-phenotype correlations and reduced penetrance. This study investigated the genetic etiology of A/M-associated CNVs. METHODS: Genomic profiling was performed on four unrelated families presenting with ocular anomalies or harboring A/M-susceptible CNVs. Variants were evaluated by integrating American College of Medical Genetics and Genomics (ACMG) guidelines with clinical phenotypes and familial segregation. RESULTS: An inherited 8.13 Mb deletion (8p23.3p23.1) in Patient 1 was excluded due to genotype-phenotype mismatch. Patients 2 and 3 harbored de novo pathogenic deletions involving OTX2 (14q22.3) and SOX2 (3q26.33), causing typical A/M. Case 4 revealed a 14q22.2q23.1 deletion encompassing OTX2 in a fetus and mother without ocular anomalies, consistent with the incomplete penetrance of OTX2-related microphthalmia. Thus, CNV-induced haploinsufficiency causes A/M with high phenotypic variability. CONCLUSION: Accurate CNV interpretation requires robust genotype-phenotype correlation and careful assessment of incomplete penetrance to prevent diagnostic pitfalls and improve genetic counseling.

Female↗

PubMed2026

Comprehensive Clinicopathologic, Immunohistochemical, and Genomic Profiling of Sporadic Ampullary Somatostatin-producing D-cell Neuroendocrine Tumors Identifies Recurrent HRAS Hotspot Mutations.

Ampullary somatostatin-producing D-cell neuroendocrine tumors are rare neoplasms that may be associated with type 1 neurofibromatosis. The molecular features of sporadic ampullary somatostatin-producing D-cell neuroendocrine tumors (SAMSOM-NETs) remain poorly characterized. We performed an integrated morphological, immunohistochemical, and genomic analysis of a multicenter series of SAMSOM-NETs. Eleven cases were included (73% male; median age: 63 years). All six patients who underwent lymphadenectomy were staged as pN1, and liver metastases were found in three cases; however, no tumor-related deaths occurred (median follow-up: 104 months). Common histologic features that can pose diagnostic challenges in the differential diagnosis with adenocarcinoma included a tubulo-glandular architecture (100%), periodic Acid-Schiff (PAS)-positive intraluminal mucin (73%), MUC1 expression (100%), and carcinoembryonic antigen (45%) expression. All tumors exhibited dot-like cytoplasmic reactivity for cytokeratins (CK) CAM5.2 or CK AE1/AE3, and 82% were CK7-positive. ISL1 and PDX1 were diffusely expressed in all cases, while CDX2 was positive in 54% and ARX showed only focal expression in four tumors. Genomic profiling revealed microsatellite stability and low tumor mutational burden. Alterations in the RAS pathway, including HRAS mutations (4 cases, 36%), a KRAS mutation (1 case), and NF1 alterations (one case), were identified in 54% of cases and in all tumors with liver metastases. Additional molecular findings included a CDK12 splice-site alteration and an NTRK3::PRDM4 fusion. Potentially actionable alterations affecting kinase-related pathways were detected in 64% of tumors. Our findings support SAMSOM-NET as a peculiar neuroendocrine tumor subtype showing distinctive histologic and molecular characteristics with potential diagnostic and therapeutic implications.

Humans↗

PubMed2025

Unusual relapse dynamics in EGFR-mutated lung adenocarcinoma uncovered by genomic profiling: Insights from a case report.

Synchronous or metachronous multiple NSCLCs challenge clinical practice, particularly in distinguishing multiple separate primary lung cancers (SPLC) from intrapulmonary metastasis (IPM) for accurate staging and management. Here, we present a unique case of three resected lung adenocarcinomas (LUAD) from a single patient collected at different time points, all harboring the same EGFR p.L858R somatic driver mutation but exhibiting distinct clonal trajectories. Whole exome sequencing (WES) analysis revealed that the first tumor was an independent primary tumor, while the latter two tumors were clonally related. Our findings highlight the complexity of tumor progression and provide insights into clonal heterogeneity. This report underscores the importance of genomic profiling for discriminating SPLC from IPM and emphasizes that the detection of a single shared driver mutation is not sufficient to prove metastasis.

Humans↗