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Pathologic diagnosis of thyroid nodules with preoperatively detected tumor protein 53 mutations: A tricenter series of 32 cases.

BACKGROUND: Mutations in the tumor protein 53 gene (TP53 mutation) in thyroid nodules are quoted to confer a high (80%) probability of malignancy when detected on the ThyroSeq v3 genomic classifier if associated with other molecular alterations. However, TP53 mutation also occurs in benign and low-risk thyroid neoplasms. Thus, the risk of malignancy in nodules harboring TP53 mutation is not well characterized. METHODS: Of 4,575 molecularly profiled preoperative fine-needle aspiration samples, 36 (0.8%) were identified harboring TP53 mutation. The study included 32 cases in which the pathology diagnosis was obtained from surgical specimens. RESULTS: The reviewed diagnosis was benign/low-risk neoplasms in 11 (34%), carcinoma-American Thyroid Association low risk of recurrence in 7 (22%), carcinoma-American Thyroid Association low-intermediate risk in 6 (19%), and carcinoma-American Thyroid Association high risk in 8 (25%). In the entire cohort and the indeterminate fine-needle aspiration category (Bethesda III-IV), the risk of malignancy was 66% and 56%, respectively. All 11 cases with a reviewed diagnosis of benign or low-risk neoplasms had their tumor capsule submitted entirely for histologic examination, and 64% had total thyroidectomy. In 30 cases comprehensively molecularly profiled, the molecular alterations were substratified into 4 groups: TP53 mutation alone (n = 5, 17%), TP53 mutation with copy number alteration (n = 9, 30%), TP53 mutation with other mutations but no copy number alteration (n = 9, 30%), and TP53 mutation with other mutations and copy number alteration (n = 7, 23%). The risk of malignancy for each group was 40%, 44%, 67%, and 100%, respectively. The frequency of American Thyroid Association-high-risk malignancy, which would often lead to a recommendation for total thyroidectomy, was 20%, 11%, 22%, and 43%, respectively. The risk of malignancy was higher in cases with additional mutations and copy number alteration (7/7, 100%) than in those with TP53 alone or with concomitant copy number alteration only (6/14, 43%) (P = .018). CONCLUSION: Thirty four percent of nodules with TP53 mutation with or without concomitant molecular alterations were benign/low-risk thyroid neoplasms and treated by total thyroidectomy in the majority of cases. Risk of malignancy increased significantly to 100% when TP53 mutation co-occurred with other mutations and copy number alterations. Since American Thyroid Association high-risk carcinomas were found in only 25% of TP53-mutated nodules, thyroid lobectomy may be considered as the initial treatment, in the appropriate clinical context.

Journal Article

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

Molecular biomarker profiling in noninfectious uveitis: a chronological review of discovery.

PURPOSE OR REVIEW: Noninfectious uveitis (NIU) encompasses a heterogeneous group of immune-mediated intraocular inflammatory diseases whose complexity has driven systematic molecular biomarker discovery. This review presents NIU molecular biomarkers organized by biological category; autoantigens, human leukocyte antigens (HLA) and genetic markers, cellular immune subsets, cytokines, chemokines, and multiomics platforms including proteomics, microbiome metagenomics, metabolomics, and single-cell transcriptomics with each category presented in strict chronological order of landmark discovery. RECENT FINDINGS: We present a review organized along two nested timelines. Categories are presented in the order they historically emerged in the field, and within each category, landmark discoveries appear in chronological sequence. This allows the reader to trace how each biomarker category evolved: from foundational autoantigen identification in experimental uveitis models, through the genomic revolution of HLA association studies, into cellular immunophenotyping, cytokine profiling of aqueous humor, chemokine mapping of intraocular trafficking, and finally the emerging omics platforms that may potentially anchor precision medicine in NIU. Each biomarker is paired in line with its linked targeted therapeutic. SUMMARY: Biomarker research has transformed the understanding of NIU from a clinically defined syndrome into a group of molecularly distinct immune disorders. Advances spanning autoantigens, genetics, immune-cell profiling, cytokines, chemokines, and multiomics have revealed novel pathogenic mechanisms and therapeutic targets. Integration of these biomarkers with targeted therapies may accelerate the transition toward precision medicine in uveitis care.

cytokines

Lung Squamous Cell Carcinoma Harbouring a Novel PAX8::PPARγ Fusion and a FGFR2 Exon 7 Missense Mutation.

Comprehensive molecular profiling is now routinely performed in newly diagnosed non-small cell lung carcinomas (NSCLCs) to identify actionable genomic alterations. Although numerous molecular abnormalities have been described in lung carcinomas, rare and unexpected gene fusions may create significant diagnostic challenges, particularly when they are characteristically associated with tumours of different lineages. To our knowledge, this is the first reported case of a primary lung squamous cell carcinoma harbouring an in-frame PAX8::PPARγ fusion with a concurrent FGFR2 exon 7 missense mutation (p.W290C). An 80-year-old man with a smoking history exceeding 50 years presented with a rapidly enlarging PET-avid right upper lobe pulmonary mass. Bronchial brushing cytology demonstrated a hypercellular malignant neoplasm composed of pleomorphic squamoid cells with hyperchromatic nuclei, dense cytoplasm and extensive necrosis. Cell block material showed squamous morphology and diffuse p40 positivity, supporting squamous differentiation. Reflex next-generation sequencing identified an FGFR2 exon 7 missense mutation (p.W290C; c.870G>C) and targeted RNA fusion analysis demonstrated an in-frame PAX8::PPARγ fusion resulting from a t(2;3)(q13;p25.2) translocation. Because PAX8::PPARγ rearrangements are strongly associated with follicular thyroid neoplasms, extensive clinicoradiologic and immunohistochemical correlation was performed to exclude metastatic thyroid carcinoma. Imaging studies showed no thyroid lesion or residual thyroid tissue, and tumour cells were negative for thyroglobulin, TTF-1 and PAX8. Correlation of the clinical history, radiologic findings, cytomorphology, immunophenotype and molecular profile supported the diagnosis of primary lung squamous cell carcinoma. This case expands the molecular spectrum of lung squamous cell carcinoma and highlights the importance of integrated cytopathologic, immunohistochemical, molecular and radiologic evaluation when unexpected gene fusions are identified in cytology specimens.

FGFR2 exon 7 missense mutation

Worldwide Innovative Network Consortium: Building a Common Global Cancer Database.

This review shares the ongoing work of the global Worldwide Innovative Network (WIN) Consortium for Precision Medicine to synthesize emerging cancer treatment data and to define the requirements for a common global cancer database that can truly support precision oncology. We performed a narrative review of emerging cancer treatment data, molecular profiling technologies, and existing clinicogenomic databases, focusing on how tumors are characterized, how subgroups are defined, and how demographic, lifestyle, and environmental factors are captured. The growth in molecular profiling technologies and the development of new targeted therapies are transforming cancer care. Tumors, regardless of tissue origin, are increasingly defined as composites of multiple, often rare, subgroups, each with distinct biology and likely response to specific therapies, based on multidimensional profiling of the tumor and its microenvironment. The solution lies in building vast databases that capture racial and ethnic diversity, reflected in genomic data, as well as diet and lifestyle factors that may have epigenetic impact on gene expression and post-translational modifications. A truly inclusive and informative data set must reflect global diversity, and there are multiple examples of demography-dependent differences in genomic signals. With members caring for and studying patients with cancer across five continents, WIN is actively exploring pathways to create a global cancer database, rich in clinical and molecular detail, granular enough for precise analysis, and large enough to power artificial intelligence-driven insights, provided appropriate data quality, validation, and governance frameworks are in place. This review surveys the current landscape and outlines practical paths forward to achieve this goal.

Humans

Deep Learning on Histologic Slides Accurately Predicts Consensus Molecular Subtypes and Spatial Heterogeneity in Colon Cancer.

Colon cancer (CC) is the third most prevalent cancer type. It is highly heterogeneous, particularly in terms of molecular profiles, which have both prognostic and predictive impacts on the treatment efficacy. However, CC treatment in adjuvant situations is currently guided solely by T and N staging. In this context, consensus molecular subtypes (CMSs) were introduced to stratify patients with CC based on molecular profiles. Recent studies have shown that CMS can be heterogeneous in CC, leading to a worse prognosis. This study focused on predicting CMS and its heterogeneity in CC using deep learning on digitized hematoxylin and eosin ± saffron-stained whole-slide images. Data and whole-slide images of 1996 patients from the PETACC-8, The Cancer Genome Atlas-COAD, and PRODIGE-13 cohorts were used. The model is trained to predict a 4-dimensional CMS vector, reflecting intratumor heterogeneity (ITH). It comprises a self-supervised model for embedding image patches into vectors and a weakly supervised model predicting CMS calls. Ground-truth CMS scores are obtained with the CMSclassifier package. Interpretability analyses are performed at the slide and patch levels. For homogeneous tumors, the model trained on PETACC-8 achieves 93.0% (±1.4%) macroaverage area under the curve in internal cross-validation and 94.4% macroaverage area under the curve in external validation over PRODIGE-13, whereas the The Cancer Genome Atlas-COAD model reaches 85.4% (±3.0%) in cross-validation and 92.4% over PRODIGE-13. The trained models also provide spatial distributions of CMS across tumor slides and associate specific histologic features with each CMS. Finally, the models are able to predict ITH. The results show that a deep learning model trained on routine histology slides is capable of providing an efficient and robust method for predicting CMS and characterizing a patient's ITH, paving the way for the routine consideration of CMS/ITH in clinical decision making in the adjuvant setting.

Humans

Molecular and Clinical Determinants of Targeted Therapy Treatment in Biliary Tract Cancer.

PURPOSE: Actionable genomic alterations occur in all anatomic subsets of biliary tract cancer; however, targeted therapies have not shown a survival advantage over cytotoxics, and resistance mechanisms require further characterization. EXPERIMENTAL DESIGN: We analyzed a prospectively maintained cohort of 1,254 patients with histologically confirmed biliary tract cancer who underwent molecular profiling using an FDA-authorized targeted next-generation sequencing (NGS) assay. We defined actionable alterations across anatomic subsets, compared outcomes with targeted therapy versus cytotoxics, and evaluated genomic correlates of resistance using longitudinal samples. RESULTS: Overall, 59% of patients harbored at least one OncoKB alteration, and 32.2% (intrahepatic 40%, extrahepatic 15%, and gallbladder 22%) had a level 1/2 alteration. Emerging targets included KRAS alterations (17%), MTAP deletions (12.8%), MDM2 amplification (6.5%), and MET amplification (1.5%). Targeted therapy was associated with improved progression-free survival but not overall survival. Co-occurring TP53/RAS pathway and SMAD4 alterations were associated with inferior outcomes in IDH1/FGFR2-and ERBB2-driven tumors, respectively. Longitudinal profiling demonstrated ERBB2 loss in ERBB2-driven tumors, whereas IDH-, FGFR-, BRAF-, and NTRK-driven tumors retained the primary oncogenic driver. Acquired resistance was associated with alterations in RAS, MEK, MET, MYC, and CDKN2A. CONCLUSIONS: This comprehensive molecular profiling study illustrates the real-world utility and limitations of targeted NGS of biliary tract cancer and affirms the use of precision medicine in patients with these diseases. Genomic heterogeneity and therapeutic resistance observed in this study has the potential to inform ongoing drug development efforts for biliary tract cancer.

Humans

Clinical and Genomic Characteristics of Mexican Patients with Early Onset Gastric Adenocarcinoma.

BACKGROUND: Gastric cancer is a leading cause of cancer-related deaths in Mexico, with a rising incidence of early onset gastric cancer (EOGC) in young adults. This single-center study aimed to describe the clinical and mutational characteristics associated with EOGC in Mexican patients, based on an age cutoff of 50 years. METHODS: Clinical information was retrieved from electronic records and compared between EOGC and late-onset gastric cancer (LOGC). Whole exome sequencing data from 50 patients were analyzed and compared between both groups to elucidate the genomic overview of EOGC. RESULTS: Clinical data from 2,034 patients were analyzed. Of those, 35.69% had EOGC, with higher proportions of women (52.50%), diffuse histology (74.38%), signet ring cells (79.90%), and advanced stages (IVB: 79.58%; all p <0.001). Multivariate analysis in young patients identified ECOG (hazard ratio [HR]: 1.49) and clinical stage (HR: 1.78) as independent prognostic factors that increased mortality risk. However, the presence of Helicobacter pylori (HR: 0.76) and participation in genetic counseling (HR: 0.61) were independent prognostic factors that decreased the mortality risk. The molecular profile of Mexican patients demonstrated a high prevalence of CDH1 mutations and SBS44 mutational signatures. CONCLUSION: Mexican patients demonstrated higher rates of EOGC compared to other ethnicities. Genetic counseling enhances the overall survival of patients with EOGC; efforts should be made to incorporate it into routine practice. Molecular profiling revealed high CDH1 and SBS44 prevalence; however, sample size limitations warrant caution.

Humans

Personalizing endometrial cancer care beyond histology: clinical applications and limits of molecular classification.

Endometrial cancer is a biologically heterogeneous disease whose management has been reshaped by molecular classification. This review summarizes the current evidence supporting the integration of molecular subgroups into prognostic assessment and treatment personalization across stages of disease. The Cancer Genome Atlas classification and its clinically applicable surrogates identify four major molecular categories: POLE-mutated, mismatch repair-deficient, p53-abnormal, and no specific molecular profile tumors. These groups differ substantially in biology, prognosis, treatment sensitivity, and areas of unmet need. POLE-mutated tumors have an excellent prognosis and represent the clearest candidates for adjuvant treatment de-escalation, particularly in early-stage disease. Mismatch repair-deficient tumors show intermediate prognosis but strong sensitivity to immune checkpoint inhibition, which has transformed the management of advanced and recurrent disease and is now being tested in earlier settings. p53-abnormal tumors represent the highest-risk subgroup, requiring multimodal treatment and offering opportunities for biomarker-driven strategies including HER2-directed therapy and DNA damage repair targeting. No specific molecular profile tumors remain the most heterogeneous category, increasingly refined by estrogen receptor status, grade, L1 cell adhesion molecule overexpression, and other biomarkers. Mismatch repair-proficient advanced/recurrent disease should be interpreted as a composite clinical trial population rather than a molecular class. Molecular classification should be integrated with traditional clinicopathologic factors, emerging biomarkers, and local implementation strategies to support equitable, biologically informed treatment selection in endometrial cancer.

Humans

Single-section multiplex spatial proteomics of immune microenvironments in kidney transplantation.

Characterizing kidney disease is challenged by marked cellular heterogeneity and limited tissue availability from renal biopsies. Conventional diagnostic workflows rely on multiple serial sections for parallel staining, increasing tissue consumption, sampling bias, and loss of spatial information, thereby constraining molecular characterization within intact tissue architecture. High-plex spatial proteomics may overcome these limitations by enabling comprehensive molecular profiling on a single section. Here, we present and evaluate a high-plex cyclic immunofluorescence imaging workflow (MACSima&#x2122;, Miltenyi Biotec) applied to kidney transplant biopsies, including BK virus nephropathy (BKVN) and focal segmental glomerulosclerosis (FSGS), to characterize spatial immune organization with a focus on complement system components. Feasibility and subcellular resolution were first assessed in a lupus nephritis section, demonstrating compatibility with diagnostic immune panels and preservation of tissue morphology. A 48-marker multiplex panel interrogating immunity, oxidative stress, senescence, and fibrosis was then applied to BKVN samples, including paired pre- and post-treatment biopsies, revealing distinct proteomic patterns and dynamic changes following therapy. In FSGS, a glomerulus-focused panel identified spatially resolved innate and adaptive immune signatures, including complement-related patterns supporting exploratory analysis of glomerular immune architecture. Structural, nuclear, membrane, and phosphorylated signaling markers enabled precise delineation of renal compartments and assessment of cellular states such as proliferation, DNA damage, and pathway activation. The workflow also supported detection of extracellular vesicles in cultured renal cells, highlighting its versatility. Overall, this approach provides a robust, tissue-sparing platform for integrated spatial and molecular profiling of renal biopsies, reducing sampling bias while enabling discovery-level phenotyping from a single section. This unified strategy is particularly suited to kidney transplantation, where diagnosis, therapeutic decision-making, and longitudinal monitoring are closely interconnected.

Kidney Transplantation

Tumor Mutational Landscape and Its Correlation With Histopathological Characteristics in Breast Cancer.

BACKGROUND/AIM: In breast cancer, knowledge of the associations between clinicopathologic characteristics, genetic changes, and subtype-specific patterns is expanding. This study investigated how pathological and clinical variables affect the actionability of Next Generation Sequencing (NGS)-based tumor molecular data. MATERIALS AND METHODS: 227 breast cancer patients referred to Genekor's laboratory for tumor molecular profile analysis were included in the study. Pathology records were used to assess critical clinicopathological features, including HER2, ER, PR, Ki67, grade, metastatic site, and age. A 1021-gene NGS-based multigene panel was utilized to assess tumor biology alongside tumor mutational burden (TMB) and microsatellite instability (MSI). RESULTS: Comprehensive genomic profiling revealed that 95.6% of the patients harbored at least one oncogenic or likely oncogenic alteration, highlighting the high diagnostic yield of NGS-based testing. Distinct subtype-specific patterns were observed: HR+/HER2- tumors were enriched for PIK3CA and ESR1 gene alterations, whereas triple-negative breast cancer (TNBC) was dominated by TP53 alterations. Clinically actionable alterations were most common in HR+/HER2- tumors (~60% on-label), whereas TNBC more often harbored off-label or trial-associated targets. The inclusion of tumor-agnostic biomarkers (TMB/MSI) increased on-label actionability up to 64.5% in HR+/HER2- tumors, primarily driven by TMB-high cases. Median TMB values were low, and age was the only independent predictor. Furthermore, the presence of actionable alterations was significantly higher in metastatic tumors, and TP53 alterations were associated with aggressive tumor characteristics. CONCLUSION: Comprehensive NGS-based genomic profiling identifies clinically actionable alterations in over half of breast cancer patients, with substantial variability across molecular subtypes. The HR+/HER2- subtype demonstrates the highest prevalence of on-label actionable biomarkers. These findings support the routine implementation of comprehensive genomic profiling, especially in metastatic HER2-negative breast cancer, to guide precision oncology strategies and enable enrollment in biomarker-driven clinical trials.

Humans

Pleomorphic Liposarcoma: Comprehensive Genomic Analysis of 39 Cases With Comparison to Other Genomically Complex Sarcomas.

Pleomorphic liposarcoma (PLPS) is an aggressive high-grade sarcoma that often shows diverse morphological features and can mimic high-grade undifferentiated pleomorphic sarcoma (UPS)/spindle cell sarcoma or myxofibrosarcoma (MFS), especially when pleomorphic lipoblasts are sparse. The molecular profile of PLPS is distinct from well differentiated/dedifferentiated liposarcoma and myxoid liposarcoma. In this study, we investigate 39 cases of PLPS by comprehensive genomic profiling, occurring in 32 patients with available molecular data. Cases were reviewed and morphologic parameters-lipoblastic component, UPS-like, and MFS-like areas were estimated. The genomic findings were collected and compared to UPS and MFS groups studied using the same platform. The cohort included 15 females and 17 males, with a median age of 56.5 (range, 34-78). The lower extremity (n&#x2009;=&#x2009;17) was the most common site involved, followed by upper extremity (n&#x2009;=&#x2009;5) and pelvis (n&#x2009;=&#x2009;5). UPS-like and MFS-like patterns were the most common morphologic variants, ranging from 15% to 95% and 20% to 90%, respectively. TP53 (87%) and RB1 (51%) mutations and copy number alterations were the most common alterations seen, followed by ATRX (36%). Compared to UPS and MFS, TP53 and RB1 gene alterations were significantly more common in PLPS. Conversely, CDKN2A/B deletions were infrequent in PLPS. Survival analysis showed that MYC amplification was associated with significantly shorter overall survival in PLPS. Among histologic variants, CYSLTR2 alterations were found to be highest in cases with predominantly pleomorphic lipoblasts; additionally, strong correlations were found between gene alteration frequencies of MFS and MFS-like PLPS, and between UPS and UPS-like PLPS. RB1 allele-specific copy number analysis showed loss of heterozygosity in 82% of cases. Our cohort of PLPS showed a complex molecular landscape with distinct genetic alterations, histologic correlations, and clinical outcomes, highlighting its unique position among genomically complex sarcomas and providing insights that may inform future diagnostic and therapeutic approaches.

Humans

Targeted Therapy in Acute Myeloid Leukemia: Current Approaches and Novel Directions.

Acute myeloid leukemia (AML) is a molecularly heterogeneous neoplasm of hematopoietic stem and progenitor cells. The advent of high-resolution genomic sequencing has uncovered several genetic drivers of AML which spurred a surge of therapies that target the disease at a mutational, clonal, or epigenetic level. Currently, the molecular profiling of AML patients before treatment is commonplace and crucial for ensuring that patients receive the most optimal therapy for any driver mutations they may have. Here, we detail the current targeted therapies available for AML: specifically, those targeting the BCL2 family (venetoclax), FLT3 (midostaurin, gilteritinib, quizartinib), IDH1/2 (enasidenib, ivosidenib), and MENIN (revumenib, ziftomenib). In addition, we outline potential mechanisms of resistance against these therapies, as well as efforts being taken to prevent or bypass them.

BCL2

Somatic genetic alterations in pituitary neuroendocrine tumors.

The molecular characterization of pituitary neuroendocrine tumors (PitNETs) has progressed pronouncedly in recent years, unraveling the molecular pathways driving initiation and progression of different PitNET types and allowing a better understanding of their biology. The most frequent recurring somatic driver alterations were recognized in corticotroph PitNETs (USP8, USP48, BRAF) and somatotroph PitNETs (GNAS) and, much less frequently, in lactotroph PitNETs (SF3B1). Additional well-characterized somatic driver alterations, including TP53, ATRX, and DAXX, are enriched in aggressive corticotroph tumors. Identification of new molecular markers and delineation of their clinical phenotypes are enabling further subclassification of PitNETs based on tumor molecular profiles, with earlier recognition of more aggressive variants. These molecular markers also provide an opportunity for new targeted therapies. Beyond single-gene alterations, epigenetic modifications, such as DNA methylation, histone modifications, and noncoding RNA dysregulation, are emerging as important contributors to PitNET pathogenesis and potential therapeutic targets. Multi-omics approaches encompassing genomics, transcriptomics, epigenomics, and proteomics are transforming PitNET classification. In this review, we provide a comprehensive, data-driven update on somatic driver alterations, epigenetic alterations, converging signaling pathways, and the related emerging therapeutic targets in PitNETs, integrating pooled analyses from published cohorts.

Humans

Integrated expression profiling of trophoblast cell-surface antigen 2 (TROP2), folate receptor alpha (FR&#x3b1;), and human epidermal growth factor receptor 2 (HER2) in endometrial Cancer across molecular classes, genomic alterations, and histologic subtypes.

OBJECTIVE: Antibody-drug conjugates (ADCs) are expanding treatment options in endometrial carcinoma, but the distribution of actionable surface targets across histologic, molecular, and genomic subgroups remains incompletely defined. METHODS: This single-institution retrospective tissue microarray (TMA) study included 312 endometrial carcinomas: 158 endometrioid and 154 serous tumors. Trophoblast cell-surface antigen 2 (TROP2) was quantified by histochemical score (H-score); human epidermal growth factor receptor 2 (HER2) was assessed using endometrial carcinoma-specific and gastric/DESTINY-PanTumor02 criteria; and folate receptor alpha (FR&#x3b1;) positivity was defined as &#x2265;75% viable tumor cells with &#x2265;2+ membranous staining. Molecular class was assigned using a hierarchical DNA polymerase epsilon (POLE)-mutant, microsatellite instability/mismatch repair-deficient (MSI/MMRd), p53-abnormal, and no specific molecular profile (NSMP) classifier. Tumor mutational burden (TMB) and recurrent genomic alterations were analyzed in relation to biomarker expression. RESULTS: TROP2 was broadly expressed, with median H-scores of 280 in endometrioid and 200 in serous carcinomas. HER2 gastric-score 2+/3+ expression and FR&#x3b1; positivity were enriched in serous versus endometrioid carcinoma (22.5% vs 8.9% and 20.1% vs 4.4%), restricted to FIGO grade 3 tumors, and concentrated in p53-abnormal disease. FR&#x3b1; positivity was absent in POLE-mutant and MSI/MMRd tumors. HER2 2+/3+ expression correlated with erb-b2 receptor tyrosine kinase 2 (ERBB2) alterations, whereas FR&#x3b1;-positive tumors were enriched for TP53 alterations and showed lower frequencies of ARID1A and PTEN alterations. Triple-negative TROP2/HER2/FR&#x3b1; tumors were uncommon (6/308, 1.9%). CONCLUSIONS: TROP2 is broadly expressed in endometrial carcinoma, whereas HER2 and FR&#x3b1; define a more restricted high-grade, serous/serous-like, p53-abnormal compartment, supporting biomarker-informed ADC development.

Humans

Molecular and Immune Landscape of Recurrent and/or Distant Metastatic Squamous Cell Carcinoma of the Head and Neck: An EORTC/IMMUCAN Project.

PURPOSE: Recurrent and/or metastatic (R/M) squamous cell carcinoma of the head and neck (SCCHN) is a heterogeneous clinical entity with a poor prognosis. The molecular and immune landscape of R/M SCCHN is underexplored. To offer a comprehensive view of the tumor microenvironment and molecular profile of R/M SCCHN, we performed an in-depth molecular and immune characterization, evaluating the impact of human papillomavirus (HPV) status, tobacco and alcohol history, primary tumor site, relapse pattern, and treatment history at the genomic, transcriptomic, and immune levels. EXPERIMENTAL DESIGN: We analyzed 253 R/M SCCHN fresh tumor biopsies from the IMMUcan project using RNA sequencing (RNA-seq), whole-exome sequencing, and multiplex immunofluorescence (mIF). RESULTS: The primary clinical factor affecting the immune microenvironment was the number of treatment lines, with significant declines in T cells and B cells observed via mIF and RNA-seq as the number of R/M treatment lines progressed. IL6, IL13, IL15, and NRF2 pathways were enriched in HPV-negative R/M SCCHN compared with HPV-positive tumors, whereas no immune differences were detected between these two clinical groups. Specific genomic alterations were observed in laryngeal cancer (DDR2, FOXP1, KLF5, and ROBO2), whereas nonsmokers/nondrinkers exhibited alterations in SPEN, PBRM1, and CYLD. 11q13.3 amplification was linked to HPV-negative metastatic tumors and hypopharyngeal cancer. HPV-negative SCCHN with locoregional recurrence showed elevated EGFR and CXCL12 pathway activity. Partial epithelial-mesenchymal transition transcriptomic signatures correlated with poor survival, whereas lymphocyte infiltration, especially in the context of tertiary lymphoid structures, was associated with improved survival. CONCLUSIONS: Our study highlights key molecular and immune differences across R/M SCCHN subgroups, identifies potential biomarkers, and suggests biological rationales for tailored therapeutic strategies.

Humans

RAS Pathway Activation and Microenvironmental Adaptation as Hallmarks of Myeloid Sarcoma.

UNLABELLED: Myeloid sarcoma, an aggressive extramedullary subtype of acute myeloid leukemia (AML), occurs in approximately 20% of patients and remains strikingly understudied in large-scale genomic and multiomic investigations. The key drivers of its tumor evolution are largely unknown; timely detection in asymptomatic patients poses a clinical challenge, and effective treatment options are limited, as patients are often excluded from clinical trials, rendering it a largely neglected disease entity. In this study, we demonstrate that myeloid sarcoma evolves from medullary AML but exhibits distinct site-specific clonal evolution. This is supported by unique transcriptional signatures of myeloid sarcoma, reflecting adaptation to the extramedullary microenvironment. We establish a proof of concept that circulating tumor DNA (ctDNA) sequencing captures the molecular composition of myeloid sarcoma, offering a potential noninvasive approach for molecular profiling of extramedullary AML. Our findings highlight marked differences between medullary AML and myeloid sarcoma, including universal molecular evolution and RAS pathway activation as disease hallmarks. SIGNIFICANCE: We provide a comprehensive multiomic characterization of myeloid sarcoma, identifying key molecular pathways that contribute to its development, and suggest ctDNA as a noninvasive method of detection. We identify RAS pathway activation and transcriptional adaptation to the solid tissue microenvironment as cardinal features of myeloid sarcoma, suggesting novel therapeutic avenues.

Sarcoma, Myeloid

Cellular transcriptomic signatures underpinning the heterogeneity of depression in Alzheimer's disease.

INTRODUCTION: Late-onset Alzheimer's disease (LOAD) and major depressive disorder (MDD) share genetic etiologies. Here, we investigated brain transcriptomic landscapes to gain insights into shared and divergent molecular and biological etiologies across LOAD and MDD. METHODS: Brain single-nucleus RNA sequencing (snRNA-seq) datasets from cognitively normal older and young individuals and LOAD patients stratified by comorbid MDD were analyzed to identify differential expressed genes (DEGs). Using cell type-specific DEGs we performed biological pathway and intercellular-communication networks analyses. We investigated shared DEGs across MDD and LOAD cohorts and sex-specific DEGs. Results were validated by comparison with four transcriptomic and proteomic studies of MDD and depression. RESULTS: MDD-associated dysregulated genes and pathways were shared between LOAD and cognitive-normal individuals, including JUNB and DUSP1 in glutamatergic neurons, and PRAM1 and SNX9 in microglia. DEGs shared between the MDD and LOAD cohorts included HSPA1A and NDUFB7 in glutamatergic neurons. Sex interaction analysis identified numerous new DEGs in the MDD cohorts, whereas there were &#x2248;5 to 10 times more DEGs in female than in male individuals. LOAD and MDD common microglial pathways included neuronal injury, stress, peroxisome proliferator-activated receptor (PPAR) signaling and interferon alpha/beta signaling. DISCUSSION: LOAD and MDD exhibited common molecular profiles, dysregulated pathways, and cellular communication changes. MDD develops earlier in life, thus, our findings provide a window into early molecular and biological processes preceding LOAD-onset.

Humans