Comprehensive Genomic Profiling Research Articles

Comprehensive genomic profiling in ovarian cancer histotypes: Biomarker prevalence and real-world prognosis

Comprehensive genomic profiling in ovarian cancer histotypes: Biomarker prevalence and real-world prognosis

Validation of NGS-based comprehensive genomic profiling for the molecular classification of endometrial carcinomas into prognostic subgroups

Validation of NGS-based comprehensive genomic profiling for the molecular classification of endometrial carcinomas into prognostic subgroups

Comprehensive genomic profiling of circulating tumor DNA is highly concordant with solid tumor DNA and identifies additional actionable mutations among advanced ovarian and endometrial cancer patients

Comprehensive genomic profiling of circulating tumor DNA is highly concordant with solid tumor DNA and identifies additional actionable mutations among advanced ovarian and endometrial cancer patients

The Molecular Classification of Pheochromocytomas and Paragangliomas: Discovering the Genomic and Immune Landscape of Metastatic Disease.

Pheochromocytomas (PCCs) and paragangliomas (PGLs, together PPGLs) are the most hereditary tumors known. PPGLs were considered benign, but the fourth edition of the World Health Organisation (WHO) classification redefined all PPGLs as malignant neoplasms with variable metastatic potential. The metastatic rate differs based on histopathology, genetic background, size, and location of the tumor. The challenge in predicting metastatic disease lies in the absence of a clear genotype-phenotype correlation among the more than 20 identified genetic driver variants. Recent advances in molecular clustering based on underlying genetic alterations have paved the way for improved cluster-specific personalized treatments. However, despite some clusters demonstrating a higher propensity for metastatic disease, cluster-specific therapies have not yet been widely adopted in clinical practice. Comprehensive genomic profiling and transcriptomic analyses of large PPGL cohorts have identified potential new biomarkers that may influence metastatic potential. It appears that no single biomarker alone can reliably predict metastatic risk; instead, a combination of these biomarkers may be necessary to develop an effective prediction model for metastatic disease. This review evaluates current guidelines and recent genomic and transcriptomic findings, with the aim of accurately identifying novel biomarkers that could contribute to a predictive model for mPPGLs, thereby enhancing patient care and outcomes.

Clinicopathogenomic analysis of PI3K/AKT/PTEN-altered luminal metastatic breast cancer in Japan.

This rapid communication highlights the correlation between protein kinase B alpha (AKT1)-phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA)- phosphatase and tensin homolog (PTEN) alterations and clinicopathological factors in Japanese patients with metastatic recurrent breast cancer (mBC). This study analyzed 1967 patients with luminal-type breast cancer who underwent cancer gene panel testing. The results demonstrated that AKT pathway alterations, including PI3K/AKT/PTEN, occurred in 1038 (52.8%)cases. Patients with AKT pathway mutations were older (p = 0.002) and had a higher rate of invasive lobular carcinoma (ILC) histology (p = 0.001), progesterone receptor (PgR) positivity (p = 0.006), and bone metastases (p = 0.001), and a lower rate of germline BRCA2 (p < 0.001). Comprehensive genomic profile results demonstrated a higher tumor mutational burden (TMB) (< 0.001) and lower tumor BRCA1/2 expression (< 0.001) in patients with mutations in the AKT pathway. These results are crucial for characterizing candidates for AKT pathway-targeted molecular therapies and conceptualizing optimal treatment strategies. Clinical trial registration: This study is an observational study and is therefore not registered with the clinical trials registration.

Response to furmonertinib in a patient with non-small cell lung cancer harboring HER2 exon 21 insertion mutation: a case report

BackgroundThis is the first case report describing a patient with non-small cell lung cancer (NSCLC) harboring two rare human epidermal growth factor receptor 2 (HER2) exon 21 insertion mutations, who responded to furmonertinib treatment. Furmonertinib maybe one effective and economical treatment for NSCLC patients harboring HER2 mutations with minor side effects.Case descriptionWe present a case report of a 49-year-old female diagnosed with stage IV lung adenocarcinoma who complained of irritating dry cough symptoms followed by chest tightness. Firstly, we describe the patient’s treatment history, including failed third-line combination treatments of systemic chemotherapy with bevacizumab or carrelizumab or anlotinib, primary lung tumor recurrence, bilateral lung metastases progression, and new brain metastatic lesion detection. Next, we detail the patient’s fourth-line treatment with radiotherapy for brain metastases and two cycles of bevacizumab plus Abraxane and cisplatin, however, the disease progressed and relapsed. After that, comprehensive genomic profiling revealed two HER2 exon 21 insertion mutations. Subsequently, the patient received targeted therapy with furmonertinib and achieved 11 months of progression-free survival. The patient received pyrrotinib therapy for 2 months after disease progression, but the disease continued to progress. In October 2023, the patient received therapy with furmonertinib again, and a month later, the disease went into partial remission. However, the patient died due to hypoproteinemia combined with severe pneumonia in December 2023.ConclusionFurmonertinib may be effective for NSCLC patients with HER2 T8962A and L869R mutations and further studies are needed to confirm these results in prospective clinical trials.

Utility of Targeted Next Generation Sequencing (NGS) to Predict Hematologic Neoplasms with Germline Predisposition

Abstract Introduction/Objective Hematologic neoplasms with germline predisposition are increasingly gaining clinical relevance as associated gene variants are emerging. These variants confer an increased risk for developing hematologic neoplasms as additional somatic aberrations accumulate. Recognition of germline predisposition is crucial to patient management as it would prompt genetic counseling and regular surveillance in affected patients and biological family members, as well as guide therapy, as many patients undergo allogeneic stem cell transplantation for which relatives are typically the preferred donors. Furthermore, these patients may respond differently to conventional therapies. Clinical recognition of germline predisposition is challenging due to phenotypic heterogeneity and a lack of germline testing standards and resources. Next generation sequencing is routinely utilized to detect somatic variants associated with hematopoietic neoplasms. Molecular profiling may also potentially serve as a screening tool to suggest pathogenic germline variants. Methods/Case Report Comprehensive genomic profiling data was reviewed for 301 patients with known hematologic neoplasms. A somatic-germline-zygosity (SGZ) computational method classified variants by origin. Variants of unknown clinical significance were excluded. The final study showed 94 patients predicted to have germline variants. The variables analyzed include germline variants, concurrent mutations, diagnosis, sex, age, and ancestry. Results (if a Case Study enter NA) Acute myeloid leukemia was the most frequent diagnosis, followed by B-cell acute lymphoblastic leukemia, myeloproliferative neoplasms, myelodysplastic syndrome, and chronic myelomonocytic leukemia. The median patient age was 60 years, ranging from 6 months to 91 years. Male gender and European ancestry were proportionally greater. In this study, we identified 70 distinct genes with 145 germline pathogenic variants. The most common pathogenic germline variants were TET2, SRSF2, RUNX1, DNMT3A, and CHEK2. Conclusion In conclusion, SGZ computational methods can be used as a screening tool to predict possible germline mutations in hematologic malignancies, which will help guide treatment and improve patient and family outcomes

Advancing Precision Oncology: Whole-Exome Sequencing in Endometrial Cancer Liquid-Based Cytology.

Diagnostic strategies for endometrial cancer have been evolving, with cytologic analysis being considered a key method in integrated oncologic diagnostics because of its less invasive nature and adaptability to various assessments. Liquid-based cytology (LBC) has emerged as a promising method for intact DNA preservation; it exhibits improved efficiency in advanced sequencing applications such as next-generation sequencing. However, despite the use of LBC in panel assays, its application in whole-exome sequencing (WES) for comprehensive genomic profiling remains underexplored. To investigate whether molecular classification is possible based on WES using DNA derived from LBC specimens. We combined WES with targeted gene panel analysis to compare genomic findings of LBC and traditional tissue samples obtained from 7 cases of endometrial cancer. We investigated pathogenic mutations, tumor mutational burden, and microsatellite instability, and achieved molecular classification with high accuracy. We found a substantial concordance between LBC and traditional tissue samples in terms of pathogenic mutation detection, with a 95% match in the LBC samples and 94% in the tissue samples. Notably, our results highlight the importance of combining WES with panel-based analysis in identifying the ultramutated status of a case that had been missed during panel analysis. Our findings emphasize the potential of LBC samples in the precise and noninvasive genomic analysis of cases of endometrial cancer and offer a new avenue for developing diagnostic and therapeutic strategies in precision oncology.

Therapeutic vulnerabilities and pan-cancer landscape of BRAF class III mutations in epithelial solid tumors

BackgroundKinase-impaired class III BRAF mutations have recently received attention as a possible prognostic factor and therapeutic target. Class III BRAF variants differ from class I and class II mutations in terms of mechanism of pathway activation and therapeutic vulnerabilities. Genomic landscape analyses of tumors in large real-world cohorts represent a great opportunity to further characterize tumor-related molecular events and treatment vulnerabilities, however, such data is not yet available for tumors with BRAF class III mutations.MethodsWe investigated the pan-cancer genomic landscape of BRAF class III mutations in 376,302 patients. Patients had comprehensive genomic profiling either by FoundationOne® or FoundationOne®CDx from formalin-fixed, paraffin embedded tissue biopsies. 2 patient cases that harbored BRAF class III mutations who demonstrated dramatic response to anti-EGFR treatment were presented.ResultsBRAF class III mutations are likely to co-occur with RAF1, NRAS and HRAS alterations, while concomitant KRAS alterations were rare. Moreover, we found that alterations that predict resistance to anti-EGFR agents were significantly less common in tumors harboring BRAF class III mutations, which is of great importance as anti-EGFR therapies are a potential targeted treatment option in these tumors.DiscussionOur findings suggest a heterogenous interplay of oncogenic alterations in BRAF class III mutated tumors and have important implications for the molecular mechanisms of carcinogenesis while revealing potential therapeutic vulnerabilities.HighlightsTumors harboring BRAF class III (BRAF vIII) mutations comprise a novel subset with distinct genomic heterogeneity.BRAF vIII mutations may sensitize tumors to anti-EGFR treatments.BRAF vIII alterations show significantly less co-occurrence with alterations that predict resistance to anti-EGFR agents.Rare tumors with limited therapy options should be screened for BRAF vIII mutations as they may benefit from anti-EGFR agents.

Clinical and Technical Validation of OncoIndx® Assay-A Comprehensive Genome Profiling Assay for Pan-Cancer Investigations.

Comprehensive next-generation sequencing (NGS) assays enable the identification of clinically relevant mutations, enhancing the capability for targeted therapeutic interventions. In addition, genomic alterations driving the oncogenic roadmap and leading to resistance mechanisms are reshaping precision oncology. We report the workflow and clinical and technical validation of the OncoIndx® NGS platform-a comprehensive genomic profiling (CGP)-based assay for pan-cancer investigation. We evaluated the concordance between the OncoIndx® test findings and clinically established hotspot detection using SeraSeq reference standards. OncoIndx is a hybridization capture-based NGS assay for the targeted deep sequencing of all exons and selected introns of 1080 cancer-related genes. We show the outcome in the form of tier I and tier II single nucleotide variants (SNVs), copy number alterations (CNAs), and specific gene fusions. OncoIndx® also informs genome-wide tumor mutational burden (TMB), microsatellite instability (MSI), homologous recombination deficiency (HRD), and genomic loss of heterozygosity (gLOH). A total of 63 samples were utilized for validation with reference standards, clinical samples, and orthogonal assessment for genomic alterations. In addition, 49 cross-laboratory samples were validated for microsatellite instability (MSI), and for the tumor mutation burden (TMB), 18 samples as reference standards, 6 cross-laboratory samples, and 29 TCGA samples were utilized. We show a maximum clinical sensitivity of 98% and a positive predictive value (PPV) of 100% for the clinically actionable genomic variants detected by the assay. In addition, we demonstrate analytical validation with the performance of the assay, limit of detection (LoD), precision, and orthogonal concordance for various types of SVs, CNAs, genomic rearrangements, and complex biomarkers like TMB, MSI, and HRD. The assay offers reliable genomic predictions with the high-precision detection of actionable variants, validated by established reference standards.

Single-Hit and Multi-hit PIK3CA Short Variant Genomic Alterations in Clinically Advanced Prostate Cancer: A Genomic Landscape Study.

Tumors harboring two or more PIK3CA short variant (SV) ("multi-hit") mutations have been linked to improved outcomes with anti-PIK3CA-targeted therapies in breast cancer. The landscape and clinical implications of multi-hit PIK3CA alterations in clinically advanced prostate cancer (CAPC) remains elusive. To evaluate the genomic landscape of single-hit and multi-hit PIK3CA genomic alterations in CAPC. The Foundation Medicine FoundationCore database was used to identify 19,978 CAPC tumors that underwent hybrid capture-based comprehensive genomic profiling to evaluate all classes of genomic alterations (GA) and determine tumor mutational burden (TMB), microsatellite instability (MSI), genomic ancestry, single-base substitution mutational signatures, and homologous recombination deficiency signature (HRDsig). Tumor cell PD-L1 expression was determined by IHC (Dako 22C3). 18,741 (93.8%) tumors were PIK3CA wild type (WT), 1155 (5.8%) featured single PIK3CA SV, and 82 (0.4%) featured multi-hit PIK3CA SVs. Single-hit (6.6 versus 3.8; p < 0.0001) and multi-hit (12.8 versus 3.8; p < 0.0001) featured more driver GA per tumor than PIK3CA WT CAPC, as well as higher prevalence of MMR mutational signature, MSI high status, and TMB levels versus PIK3CA WT (p < 0.0001). Other differences in GA included higher frequencies of GA in BRCA2 in multi-hit versus WT (18.3% versus 8.5%; p = 0.0191), ATM in multi-hit versus WT (13.4% versus 5.6%; p = 0.02) and PTEN in single-hit versus WT (40.2% versus 30.1%; p < 0.0001). Homologous recombination deficiency signatures were higher in PIK3CA WT versus single-hit (11.2% versus 7.6%; p = 0.0002). There were no significant differences in PD-L1 expression among the three groups. Identification of multi-hit PIK3CA GA in CAPC highlights a potentially unique phenotype that may be associated with response to anti-PIK3CA targeted therapy and checkpoint inhibition, supporting relevant clinical trial designs.

Real-world pan-tumor comprehensive genomic profiling sample adequacy and success rates in tissue and liquid specimens.

Real-world success rate of liquid and tissue-based comprehensive genomic profiling (CGP) is unknown. We analyzed real-world pan-tumor cohorts that underwent CGP during clinical care via FoundationOne CDx (F1CDx) and FoundationOne Liquid CDx (F1LCDx) to determine tissue and liquid sample adequacy based on tumor type. Pan-tumor presequencing adequacy was high (>90%) by both tissue-based F1CDx (median: 92.3%; range: 88.2%-96.9%) and liquid-based F1LCDx (median: 94.8%; range: 86.6%-96.7%). Similarly, postsequencing analysis revealed that most tissue and liquid samples yielded successful sequencing results with a median sequencing success rate of 97.9% and 98.1% for F1CDx and F1LCDx, respectively. One exception is central nervous system (CNS) tumors, for which F1CDx had dramatically higher sample sufficiency (96.9%) and postsequencing success rate (97.0%) compared with F1LCDx (86.6% and 92.9%, respectively). The pan-tumor median sample-to-success rate was 90.4% (range: 84.8%-94.4%) for F1CDx. The equivalent rate for F1LCDx was slightly higher at 93.2% (range: 80.4%-95.7%). Conversely, when examining the prevalence of F1LCDx results with high tumor fraction (TF≥1%), the sample-to-high TF results rate was dramatically lower (median: 37.7%, range: 2.1% [CNS tumors]-46.0%). In conclusion, except in CNS tumors or when accounting for liquid TF, success rates of F1CDx and F1LCDx are equivalently high. These results may guide informed decision on when to pursue tissue vs liquid testing of patients with cancer.

Proteogenomic Characterization of Early Intrahepatic Recurrence after Curative-Intent Treatment of Colorectal Liver Metastases.

Clinical and pathological factors are insufficient to accurately identify patients at risk of early recurrence after curative-intent treatment of colorectal liver metastases (CRLM). This study aimed to identify candidate prognostic proteogenomic biomarkers for early intrahepatic recurrence after curative-intent resection of CRLM. Patients diagnosed with intrahepatic recurrence within 6 months of liver resection were categorized as the "early recurrence" group, while those who achieved a recurrence-free status for 10 years were designated as "durable remission". Comprehensive genomic and proteomic profiling of fresh frozen samples from these prognostically distinct groups was performed using the TruSight Oncology 500 assay and label-free data-dependent acquisition liquid chromatography-mass spectrometry. Genetic alterations were identified in 117 of the 523 profiled genes in patients with early recurrence. The most common somatic mutations linked to early recurrence were TP53 (88%), APC (71%), KRAS (38%), and SMAD4 (21%). SMAD4 alterations were absent in samples from patients with a durable remission. Calponin-2, versican core protein, glutathione peroxidase 3, fibulin-5, and amyloid-β precursor protein were upregulated more than 2-fold in early recurrence. Exploratory analysis of these proteogenomic biomarkers suggests that SMAD4, calponin-2, and glutathione peroxidase 3 may have the potential to predict early recurrence, enabling improved prognostication and precision oncology in CRLM.

Comprehensive Genomic Assessment of Advanced-Stage GI Stromal Tumors Using the Japanese National Center for Cancer Genomics and Advanced Therapeutics Database.

Clinical utility of comprehensive genomic profiling (CGP) for precision medicine has become evident. Although there are several reports on the genomic landscape of GI stromal tumors (GISTs), large-scale data specific to GIST are limited, especially in Asia. Additionally, the applicability of molecular-targeted agents identified using CGP has not been extensively examined. We investigated the status of genomic alterations in Japanese patients with advanced GISTs using the National Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database to identify novel treatment strategies and drug development. We retrospectively reviewed the clinical and CGP data of patients with advanced-stage GIST registered in the C-CAT database to assess the genomic landscape and potential actionable alterations. Data from 144 patients were reviewed. Oncogenic alterations were detected frequently in KIT (78%), CDKN2A (37%), CDKN2B (29%), RB1 (11%), STK11 (10%), TP53 (9%), PDGFRA (6%), and SDHB (6%). Loss of CDKN2A/CDKN2B was only observed in KIT/PDGFRA-mutated GISTs, while alterations in SDHA/SDHB were only detected in KIT/PDGFRA wild-type GISTs. Among 119 KIT/PDGFRA-mutated GISTs, 95 (80%) had oncogenic genomic alterations and 29 (24%) had actionable alterations, excluding KIT and PDGFRA. However, among 25 KIT/PDGFRA wild-type GISTs, 22 (88%) had oncogenic alterations and 11 (44%) had actionable alterations. Representative candidate drugs for genome-matched therapies in KIT/PDGFRA-mutated and wild-type GISTs were as follows: pembrolizumab for tumor mutation burden-high in one and two patients, respectively; poly-adenosine diphosphate ribose polymerase inhibitors for alterations related to homologous recombination deficiency in 12 and one patient, respectively; NTRK inhibitor for ETV6-NTRK3 fusion in one with KIT/PDGFRA wild-type GIST; and human epidermal growth factor receptor 2-antibody-drug conjugate in one with KIT/PDGFRA-mutated GIST. This study highlights the genomic landscape of advanced GISTs and the important role of CGP in identifying rational molecular-targeted therapeutic options.

Oncogenic mutations in the TP53 and PI-3 kinase/AKT pathway are independent predictors of survival for advanced thyroid cancer: Analysis from the Molecular Screening and Therapeutics (MoST) program

BackgroundThyroid cancers with mutations in the phosphatidylinositol-3 kinase/AKT pathway have a poorer prognosis. However, knowledge about the relationship between histology, mutation profile, and outcomes is still developing. This study assessed the prognostic value of genomic profiles for patients with advanced thyroid cancer who experienced progression on conventional treatment. MethodsPatients recruited to a national clinical oncology program for treatment-refractory locally advanced, recurrent or metastatic cancers were analyzed. Patients' archival tumor samples underwent comprehensive genomic profiling. Specific oncogenic mutations and the presence of cancer related pathways were correlated with overall survival. ResultsFrom 2018 to 2021, 4,955 patients were recruited, with 44 (0.9%) having a diagnosis of thyroid cancer with 4 medullary and the remaining follicular derived: 17 differentiated, 13 poorly differentiated, and 10 anaplastic thyroid cancers. Of the 40 follicular-derived thyroid cancer samples, 17 (42.5%) carried TP53 mutations, followed by 11 with BRAF V600E (27.5%), 9 with NRAS (22.5%), 9 with mutations in the phosphatidylinositol-3 kinase/AKT pathway (22.5%), and 7 with TERT promoter mutations (17.5%). Both TP53 and phosphatidylinositol-3 kinase/AKT pathway alterations were associated with reduced overall survival (hazard ratio, 5.19; 95% confidence interval, 1.59–16.70, P = .02 and hazard ratio, 10.12; 95% confidence interval, 1.61–63.76, P = .01). Cox regression showed histologic type anaplastic thyroid cancer (hazard ratio, 12.93, P = .004), poorly differentiated thyroid cancer (hazard ratio, 5.19, P = .039), and TP53 and/or phosphatidylinositol-3 kinase/AKT pathway mutations (hazard ratio, 4.73, P = .017) were independently associated with overall survival. ConclusionTP53 and/or phosphatidylinositol-3 kinase/AKT pathway mutations correlated with overall survival independently of histotype in patients with advanced thyroid cancer. Comprehensive genomic profiling has potential to inform prognosis, as well as identifying treatment targets for patients with advanced thyroid cancer.

MO37-3 Construction of data for implementation of comprehensive cancer genome profiling using genome-guided system

MO37-3 Construction of data for implementation of comprehensive cancer genome profiling using genome-guided system

P4.17F.04 Feasibility of Comprehensive Genomic Profiling for Advanced NSCLC in Public Healthcare System - The Hong Kong Experience

P4.17F.04 Feasibility of Comprehensive Genomic Profiling for Advanced NSCLC in Public Healthcare System - The Hong Kong Experience

MO32-1 Assessing the impact of comprehensive genome profiling in clinical practice: single-center observational study in Japan

MO32-1 Assessing the impact of comprehensive genome profiling in clinical practice: single-center observational study in Japan

MO63-6 Utility of comprehensive genomic profiling for malignant breast tumors – a single institutional experience

MO63-6 Utility of comprehensive genomic profiling for malignant breast tumors – a single institutional experience

MO5-4 Clinical utility of upfront comprehensive genomic profiling for the treatment of advanced pancreatic cancer

MO5-4 Clinical utility of upfront comprehensive genomic profiling for the treatment of advanced pancreatic cancer