Formalin-fixed Paraffin-embedded Samples Research Articles

Feasibility of MALDI-MSI-Based Proteomics Using Bouin-Fixed Pathology Samples: Untapping the Goldmine of Nephropathology Archives.

The application of innovative spatial proteomics techniques, such as those based upon matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) technology, has the potential to impact research in the field of nephropathology. Notwithstanding, the possibility to apply this technology in more routine diagnostic contexts remains limited by the alternative fixatives employed by this ultraspecialized diagnostic field, where most nephropathology laboratories worldwide use bouin-fixed paraffin-embedded (BFPE) samples. Here, the feasibility of performing MALDI-MSI on BFPE renal tissue is explored, evaluating variability within the trypsin-digested proteome as a result of different preanalytical conditions and comparing them with the more standardized formalin-fixed paraffin-embedded (FFPE) counterparts. A large proportion of the features (270, 68.9%) was detected in both BFPE and FFPE renal samples, demonstrating only limited variability in signal intensity (10.22-10.06%). Samples processed with either fixative were able to discriminate the principal parenchyma regions along with diverse renal substructures, such as glomeruli, tubules, and vessels. This was observed when performing an additional "stress test", showing comparable results in both BFPE and FFPE samples when the distribution of several amyloid fingerprint proteins was mapped. These results suggest the utility of BFPE tissue specimens in MSI-based nephropathology research, further widening their application in this field.

Single Nucleus Total RNA Sequencing of Formalin-Fixed Paraffin-Embedded Gliomas.

Gliomas, the predominant form of brain cancer, comprise diverse malignant subtypes with limited curative therapies available. The insufficient understanding of their molecular diversity and evolutionary processes hinders the advancement of new treatments. Technical complexities associated with formalin-fixed paraffin-embedded (FFPE) clinical samples hinder molecular-level analyses of gliomas. Current single-cell RNA sequencing (scRNA-seq) platforms are inadequate for large-scale clinical applications. In this study, automated snRandom-seq is developed, a high-throughput single-nucleus total RNA sequencing platform optimized for archival FFPE samples. This platform integrates automated single-nucleus isolation and droplet barcoding systems with the random primer-based scRNA-seq chemistry, accommodating a broad spectrum of sample types. The automated snRandom-seq is applied to analyze 116492 single nuclei from 17 FFPE samples of various glioma subtypes, including rare clinical samples and matched primary-recurrent glioblastomas (GBMs). The study provides comprehensive insights into the molecular characteristics of gliomas at the single-cell level. Abundant non-coding RNAs (ncRNAs) with distinct expression profiles across different glioma clusters and uncovered promising recurrence-related targets and pathways in primary-recurrent GBMs are identified. These findings establish automated snRandom-seq as a robust tool for scRNA-seq of FFPE samples, enabling exploration of molecular diversities and tumor evolution. This platform holds significant implications for large-scale integrative and retrospective clinical research.

The genomic trajectory of ovarian high-grade serous carcinoma can be observed in STIC lesions.

Ovarian high-grade serous carcinoma (HGSC) originates in the fallopian tube, with secretory cells carrying a TP53 mutation, known as p53 signatures, identified as potential precursors. p53 signatures evolve into serous tubal intraepithelial carcinoma (STIC) lesions, which in turn progress into invasive HGSC, which readily spreads to the ovary and disseminates around the peritoneal cavity. We recently investigated the genomic landscape of early- and late-stage HGSC and found higher ploidy in late-stage (median 3.1) than early-stage (median 2.0) samples. Here, to explore whether the high ploidy and possible whole-genome duplication (WGD) observed in late-stage disease were determined early in the evolution of HGSC, we analysed archival formalin-fixed paraffin-embedded (FFPE) samples from five HGSC patients. p53 signatures and STIC lesions were laser-capture microdissected and sequenced using shallow whole-genome sequencing (sWGS), while invasive ovarian/fallopian tube and metastatic carcinoma samples underwent macrodissection and were profiled using both sWGS and targeted next-generation sequencing. Results showed highly similar patterns of global copy number change between STIC lesions and invasive carcinoma samples within each patient. Ploidy changes were evident in STIC lesions, but not p53 signatures, and there was a strong correlation between ploidy in STIC lesions and invasive ovarian/fallopian tube and metastatic samples in each patient. The reconstruction of sample phylogeny for each patient from relative copy number indicated that high ploidy, when present, occurred early in the evolution of HGSC, which was further validated by copy number signatures in ovarian and metastatic tumours. These findings suggest that aberrant ploidy, suggestive of WGD, arises early in HGSC and is detected in STIC lesions, implying that the trajectory of HGSC may be determined at the earliest stages of tumour development. © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Evaluating cell type deconvolution in FFPE breast tissue: application to benign breast disease

Abstract Transcriptome profiling using RNA sequencing (RNA-seq) of bulk formalin-fixed paraffin-embedded (FFPE) tissue blocks is a standard method in biomedical research. However, when used on tissues with diverse cell type compositions, it yields averaged gene expression profiles, complicating biomarker identification due to variations in cell proportions. To address the need for optimized strategies for defining individual cell type compositions from bulk FFPE samples, we constructed single-cell RNA-seq reference data for breast tissue and tested cell type deconvolution methods. Initial simulation experiments showed similar performances across multiple commonly used deconvolution methods. However, the introduction of FFPE artifacts significantly impacted their performances, with a root mean squared error (RMSE) ranging between 0.04 and 0.17. Scaden, a deep learning-based method, consistently outperformed the others, demonstrating robustness against FFPE artifacts. Testing these methods on our 62-sample RNA-seq benign breast disease cohort in which cell type composition was estimated using digital pathology approaches, we found that pre-filtering of the reference data enhanced the accuracy of most methods, realizing up to a 32% reduction in RMSE. To support further research efforts in this domain, we introduce SCdeconR, an R package designed for streamlined cell type deconvolution assessments and downstream analyses.

Impact of LAG-3/FGL1 pathway on immune evasive contexture and clinical outcomes in advanced urothelial carcinoma

BackgroundAnti-programmed death-1 (PD-1)/anti-PD-ligand-1 (PD-L1) pathway inhibition is a standard regimen for advanced urothelial carcinoma (UC); however, its limited efficacy has been reflected in reported medium response rates. This study explored...

Beyond PSA: a multi-modal pilot study identifying novel proteomic biomarkers in paraffin-embedded prostate cancer tissue

Abstract Background Prostate cancer (PCa) is a common and complex disease in men, often progressing from localized to aggressive meta-static stages requiring advanced therapies. Early detection of PCa relies primarily on multiparametric tests, with limitations, like over-diagnosis and lack of specificity. Advances in molecular profiling, particularly proteomics, could enhance patient stratification and personalized therapies. Methods We conducted an analysis using Formalin-Fixed Paraffin-Embedded (FFPE) samples from 23 patients diagnosed with prostatic adenocarcinoma. Proteins were extracted from tissues, followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The data were processed to identify proteins and subsequent bioinformatics analysis was performed to uncover significant pathways and potential biomarkers panel. Validation of identified biomarkers was carried out through Western blotting (WB). Results Proteomic profiling identified 1,159 proteins, including 176 significantly elevated in tumor tissues. Enrichment analysis highlighted their involvement in stress response, protein metabolism, and signaling pathways associated with PCa progression. Key pathways included mTORC1 signaling, Myc signaling, and focal adhesion. A biomarker panel consisting of KLK3, GDF15, MIF, and AZGP1 was proposed based on their discriminatory power in distinguishing tumor from normal tissues. WB confirmed the tumor-specific expression of these candidates, particularly GDF15 and KLK3. Conclusions The present study shows for the first time a multi-modal approach that combines a panel of PCa tissue proteins, as a new tool of PCa in patients. The identified biomarker panel offers promise for improving detection and tailoring personalized treatment strategies in PCa management. Further validation in larger cohorts and clinical settings is warranted to establish these findings.

Mutation-Selected Amplification droplet digital PCR: A new single nucleotide variant detection assay for [formula omitted] mutant in tumor and plasma samples

The early detection of gene mutations in physiological and pathological processes is a powerful approach to guide decisions in precision medicine. However, detecting low-copy mutant DNA from clinical samples poses a challenge due to the enrichment of wild-type DNA backgrounds. In this study, we devised a novel strategy, named Mutation-Selected Amplification droplet digital PCR (MSA-ddPCR), to quantitatively analyze single nucleotide variants (SNVs) at low variant allele frequencies (VAFs). Using TP53R249S (a hotspot mutation associated with hepatocellular carcinoma) as a model, we optimized the concentration ratio of primers, the annealing temperature and nucleic acid amplification modifiers. Subsequently, we evaluated the linear range and precision of MSA-ddPCR by detecting TP53R249S and TP53wild-type (TP53WT) plasmid DNA, respectively. MSA-ddPCR demonstrated superior ability to discriminate between mutant DNA and wild-type DNA compared to traditional TaqMan-MGB PCR. We further applied MSA-ddPCR to analyze the TP53R249S mutation in 20 plasma samples and 15 formalin-fixed paraffin-embedded (FFPE) tissue samples, and assessed the agreement rates between MSA-ddPCR and amplicon high-throughput sequencing. The results showed that the limit of blanks of MSA-ddPCR are 0.449 copies μL−1 in the FAM channel and 0.452 copies μL−1 in the VIC channel. MSA-ddPCR could accurately quantify VAFs as low as 0.01 %, surpassing existing PCR and next-generation sequencing (NGS) methods. In the detection of clinical samples, a high correlation was found between MSA-ddPCR and amplicon high-throughput sequencing. Additionally, MSA-ddPCR outperformed sequencing methods in terms of detection time and simplicity of data analysis. MSA-ddPCR can be easily implemented into clinical practice and serve as a robust tool for detecting mutant genes due to its high sensitivity and accuracy.

Clinical and molecular risk factors for repeat interventions due to symptomatic uterine leiomyomas

BackgroundRepeat leiomyoma occurrence or even reintervention is common after myomectomy. Little is known about the factors related to repeat interventions. ObjectivesThis study aimed to determine the frequency of leiomyoma-related reintervention after an initial laparoscopic or abdominal myomectomy and to analyze both clinical and molecular risk factors for reinterventions. Another objective was to define the frequency of clonally related tumors from repeat operations. Study DesignThis retrospective cohort study included 234 women who had undergone laparoscopic or abdominal myomectomy in 2009-2014. Information on repeat leiomyoma-related interventions as well as on other clinical factors was collected from medical records after a median follow-up time of 11,4 years (range 7,9-13,8 years) after the index procedure. The effect of clinical risk factors on the risk of reintervention was analyzed by the Kaplan-Meier estimator and the Cox proportional hazards model. For molecular analyses, we examined the mutation profiles of 133 formalin-fixed paraffin-embedded leiomyoma samples from 33 patients with repeat operations. We screened the tumors for the three primary leiomyoma driver alterations—MED12 mutations, HMGA2 overexpression, and FH-deficiency—utilizing Sanger sequencing and immunohistochemistry. To further assess the clonal relationship of the tumors, we executed whole-exome sequencing for 52 leiomyomas from 21 patients who exhibited the same driver alteration in tumors obtained from multiple procedures. ResultsReintervention rate at 11,4 years after myomectomy was 20% (46/234). Number of leiomyomas removed at the index myomectomy was a risk factor (hazard ratio 1.21; 95% confidence interval 1.09-1.34). Age at index myomectomy (hazard ratio 0.94; 95% confidence interval 0.89-0.99) and postoperative parity (hazard ratio 0.23; 95% confidence interval 0.09-0.60) were protective factors. Molecular characterization of tumors from index and non-index operations confirmed a clonal relationship of the tumors in 3/33 (9%) patients. None of the leiomyomas harboring a MED12 mutation —the most common leiomyoma driver— were confirmed clonally related. FH-deficiency was detected in repeat leiomyomas from 3/33 (9%) patients. All these patients harbored a germline FH mutation, which is distinctive for the hereditary leiomyomatosis and renal cell cancer (HLRCC) syndrome. Finally, we identified three (3/33; 9%) patients with two tumors each displaying somatic mutations in a recently identified novel leiomyoma driver gene, YEATS4. All YEATS4 mutations were different and thus the tumors were not clonally related. ConclusionOur study shows that reintervention is common after surgical myomectomy. Uterine leiomyomas typically develop independently, but some share a clonal origin. Repeat leiomyoma occurrence may be due to genetic predisposition, such as a germline FH mutation. Distinct somatic YEATS4 mutations identified in multiple leiomyomas from the same patient indicate a possible role for YEATS4 in repeat leiomyomas.

VEGFA locus amplification potentially predicts a favorable prognosis in gastric adenocarcinoma

Gastric adenocarcinoma harbors a range of genetic and epigenetic alterations, including alterations in DNA copy number. However, the key genes that promote the development and progression of gastric adenocarcinoma remain unknown.To identify the key genes amplified in gastric adenocarcinoma, we performed array comparative genomic hybridization on formalin-fixed paraffin-embedded samples of surgically resected gastric adenocarcinoma. We detected a relatively wide genomic region of gain containing the vascular endothelial growth factor A (VEGFA) gene locus on chromosome 6p. VEGFA locus amplification in gastric adenocarcinoma was validated by fluorescence in situ hybridization. To assess the frequency of VEGFA locus amplification in gastric adenocarcinoma, we conducted multiplex ligation-dependent probe amplification (MLPA) assays using homemade probes designed to target the VEGFA gene locus. Eleven of 54 (20 %) gastric adenocarcinomas with MLPA values above 1.3 were defined as having VEGFA locus amplification. Next, we investigated the effect of VEGFA locus amplification on the clinicopathological characteristics of gastric adenocarcinomas and patient survival. VEGFA locus amplification demonstrated a significantly close relationship with pathological intestinal type and lower rates of venous invasion Furthermore, a Kaplan-Meier analysis showed that patients with VEGFA locus amplification had significantly better overall survival than those without amplification (p = 0.038), particularly in the long-term follow-up period. In conclusion, VEGFA locus amplification can predict modest aggressiveness and good outcomes, suggesting the possibility that it may predict a favorable prognosis in patients with gastric adenocarcinoma.

Optimizing immunofluorescent staining of H vessels within an irradiated fracture callus in paraffin-embedded tissue samples

ABSTRACT H vessels are an essential link in angiogenic-osteogenic coupling and orchestrate the process of bone healing. H vessels are critically deficient in the setting of radiation-induced fractures, which have been reported to occur in up to 25% of patients undergoing radiotherapy. By increasing H-vessel proliferation, Deferoxamine (DFO) revitalizes the physiologic response to skeletal injury and accelerates irradiated fracture repair. H-vessel quantification is therefore an important outcome measure in histologic analysis of bone healing. However, an optimized protocol for staining H vessels in formalin-fixed paraffin-embedded (FFPE) tissue sections has not been reported. With this protocol, we describe a method of staining FFPE bone samples with minimal background fluorescence and high signal-to-noise ratio. We examined mandibular specimens in a rat model of bone healing from a range of fracture conditions, including healthy bone (Fx), irradiated bone (XFx), and irradiated bone with DFO treatment (XFx-DFO). Quantitative analysis revealed a significant increase of H vessels in the XFxDFO group compared to both the Fx and XFx groups. By optimizing immunofluorescent staining of H vessels in FFPE samples across a range of fracture conditions, we offer investigators an efficacious means of producing reliable imaging for quantitative analysis of H vessels in an irradiated fracture callus.

Volumetric imaging of the tumor microvasculature reflects outcomes and genomic states of clear cell renal cell carcinoma.

Tumor structure is heterogeneous and complex, and it is difficult to obtain complete characteristics by two-dimensional analysis. The aim of this study was to visualize and characterize volumetric vascular information of clear cell renal cell carcinoma (ccRCC) tumors using whole tissue phenotyping and three-dimensional light-sheet microscopy. Here, we used the diagnosing immunolabeled paraffin-embedded cleared organs pipeline for tissue clearing, immunolabeling, and three-dimensional imaging. The spatial distributions of CD34, which targets blood vessels, and LYVE-1, which targets lymphatic vessels, were examined by calculating three-dimensional density, vessel length, vessel radius, and density curves, such as skewness, kurtosis, and variance of the expression. We then examined those associations with ccRCC outcomes and genetic alteration state. Formalin-fixed paraffin-embedded tumor samples from 46 ccRCC patients were included in the study. Receiver operating characteristic curve analyses revealed the associations between blood vessel and lymphatic vessel distributions and pathological factors such as a high nuclear grade, large tumor size, and the presence of venous invasion. Furthermore, three-dimensional imaging parameters stratified ccRCC patients regarding survival outcomes. An analysis of genomic alterations based on volumetric vascular information parameters revealed that PI3K-mTOR pathway mutations related to the blood vessel radius were significantly different. Collectively, we have shown that the spatial elucidation of volumetric vasculature information could be prognostic and may serve as a new biomarker for genomic alterations. High-end tissue clearing techniques and volumetric immunohistochemistry enable three-dimensional analysis of tumors, leading to a better understanding of the microvascular structure in the tumor space.

Endometrioid ovarian carcinoma landscape: pathological and molecular characterization.

Endometrioid ovarian cancers (EOvC) are usually managed as serous tumors. In this study, we conducted a comprehensive molecular investigation to uncover the distinct biological characteristics of EOvC. This retrospective multicenter study involved patients from three European centers. We collected clinical data and formalin-fixed paraffin-embedded (FFPE) samples for analysis at the DNA level using panel-based next-generation sequencing and array-comparative genomic hybridization. Additionally, we examined mRNA expression using NanoString nCounter® and protein expression through tissue microarray. We compared EOvC with other ovarian subtypes and uterine endometrioid tumors. Furthermore, we assessed the impact of molecular alterations on patient outcomes, including progression-free survival (PFS) and overall survival (OS). Preliminary analysis of clinical data from 668 patients, including 86 (12.9%) EOvC, revealed more favorable prognosis for EOvC compared with serous ovarian carcinoma (5-year OS of 60% versus 45%; P = 0.001) driven by diagnosis at an earlier stage. Immunohistochemistry and copy number alteration (CNA) profiles of 43 cases with clinical data and FFPE samples available indicated that EOvC protein expression and CNA profiles were more similar to endometrioid endometrial tumors than to serous ovarian carcinomas. EOvC exhibited specific alterations, such as lower rates of PTEN loss, mutations in DNA repair genes, and P53 abnormalities. Survival analysis showed that patients with tumors harboring loss of PTEN expression had worse outcomes (median PFS 19.6 months vs. not reached; P = 0.034). Gene expression profile analysis confirmed that EOvC differed from serous tumors. However, comparison to other rare subtypes of ovarian cancer suggested that the EOvC transcriptomic profile was close to that of ovarian clear cell carcinoma. Downregulation of genes involved in the PI3K pathway and DNA methylation was observed in EOvC. In conclusion, EOvC represents a distinct biological entity and should be regarded as such in the development of specific clinical approaches.

A dynamic microRNA profile that tracks a chemotherapy resistance phenotype in osteosarcoma. Implications for novel therapeutics.

Osteosarcoma is a rare primary bone tumor for which no significant therapeutic advancement has been made since the late 1980s despite ongoing efforts. Overall, the five-year survival rate remains about 65%, and is much lower in patients with tumors unresponsive to methotrexate, doxorubicin, and cisplatin therapy. Genetic studies have not revealed actionable drug targets, but our group, and others, have reported that epigenomic biomarkers, including regulatory RNAs, may be useful prognostic tools for osteosarcoma. We tested if microRNA (miRNA) transcriptional patterns mark the transition from a chemotherapy sensitive to resistant tumor phenotype. Small RNA sequencing was performed using 14 patient matched pre-chemotherapy biopsy and post-chemotherapy resection high-grade osteosarcoma frozen tumor samples. Independently, small RNA sequencing was performed using 14 patient matched biopsy and resection samples from untreated tumors. Separately, miRNA specific Illumina DASL arrays were used to assay an independent cohort of 65 pre-chemotherapy biopsy and 26 patient matched post-chemotherapy resection formalin fixed paraffin embedded (FFPE) tumor samples. mRNA specific Illumina DASL arrays were used to profile 37 pre-chemotherapy biopsy and five post-chemotherapy resection FFPE samples, all of which were also used for Illumina DASL miRNA profiling. The National Cancer Institute Therapeutically Applicable Research to Generate Effective Treatments dataset, including PCR based miRNA profiling and RNA-seq data for 86 and 93 pre-chemotherapy tumor samples, respectively, was also used. Paired differential expression testing revealed a profile of 17 miRNAs with significantly different transcriptional levels following chemotherapy. Genes targeted by the miRNAs were differentially expressed following chemotherapy, suggesting the miRNAs may regulate transcriptional networks. Finally, an in vitro pharmacogenomic screen using miRNAs and their target transcripts predicted response to a set of candidate small molecule therapeutics which potentially reverse the chemotherapy resistance phenotype and synergize with chemotherapy in otherwise treatment resistant tumors. Importantly, these novel therapeutic targets are distinct from targets identified by a similar pharmacogenomic analysis of previously published prognostic miRNA profiles from pre chemotherapy biopsy specimens.

Spatial iTME analysis of KRAS mutant NSCLC and immunotherapy outcome

We conducted spatial immune tumor microenvironment (iTME) profiling using formalin-fixed paraffin-embedded (FFPE) samples of 25 KRAS-mutated non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs), including 12 responders and 13 non-responders. An eleven-marker panel (CD3, CD4, CD8, FOXP3, CD68, arginase-1, CD33, HLA-DR, pan-keratin (PanCK), PD-1, and PD-L1) was used to study the tumor and immune cell compositions. Spatial features at single cell level with cellular neighborhoods and fractal analysis were determined. Spatial features and different subgroups of CD68+ cells and FOXP3+ cells being associated with response or resistance to ICIs were also identified. In particular, CD68+ cells, CD33+ and FOXP3+ cells were found to be associated with resistance. Interestingly, there was also significant association between non-nuclear expression of FOXP3 being resistant to ICIs. We identified CD68dim cells in the lung cancer tissues being associated with improved responses, which should be insightful for future studies of tumor immunity.

Altered extracellular matrix correlates with an immunosuppressive tumor microenvironment and disease progression in younger adults with oral cavity squamous cell carcinoma.

Oral cavity squamous cell carcinoma (OSCC) occurs most frequently in patients >60 years old with a history of tobacco and alcohol use. Epidemiological studies describe increased incidence of OSCC in younger adults (<45 years). Despite its poor prognosis, knowledge of OSCC tumor microenvironment (TME) characteristics in younger adults is scarce and could help inform possible resistance to emerging treatment options. Patients with OSCC were evaluated using TCGA-HNSC (n=121) and a stage and subsite-matched institutional cohort (n=8) to identify differential gene expression focusing on the extracellular matrix (ECM) and epithelial-mesenchymal transition (EMT) processes in younger (≤45 years) vs. older adults (≥60 years). NanoString nCounter analysis was performed using isolated total RNA from formalin-fixed paraffin-embedded (FFPE) tumor samples. Stained tumor slides from young and old OSCC patients were evaluated for CD8+ T-cell counts using immunohistochemistry. Younger OSCC patients demonstrated significantly increased expression of ECM remodeling and EMT process genes, as well as TME immunosuppression. Gene set enrichment analyses demonstrated increased ECM pathways and concurrent decreased immune pathways in young relative to old patients. Transcripts per million of genetic markers involved in ECM remodeling including LAMB3, VCAN, S100A9, COL5A1, and ITGB2 were significantly increased in tumors of younger vs. older patients (adjusted p-value < 0.10). Young patient TMEs demonstrated a 2.5-fold reduction in CD8+ T-cells as compared to older patients (p < 0.05). Differential gene expression impacting ECM remodeling and TME immunosuppression may contribute to disease progression in younger adult OSCC and has implications on response to evolving treatment modalities, such as immune checkpoint inhibitor therapy.

MDB-12. NANOPORE SEQUENCING AS A CUTTING-EDGE TECHNOLOGY FOR MEDULLOBLASTOMA CLASSIFICATION

Abstract INTRODUCTION Medulloblastoma (MB) is one of the most prevalent embryonal malignant brain tumors, divided into four distinct molecular subgroups (WNT, SHH, group 3, and group 4) with its individual prognosis. A more extensive classification of MB has recently been provided, identifying numerous subtypes, some with poor prognosis, leading to a significant number of patients succumbing to the disease while many survivors experience long-term side effects, highlighting the need for efficient subgrouping methods. Distinct genome-wide DNA methylation profiles characterize each MB subgroup, and the advent of Nanopore DNA sequencing has positioned itself as a reliable technique for comprehensive copy number and methylation profiling. MATERIAL AND METHODS We evaluated the ability of Nanopore sequencing to provide clinically relevant methylation and copy number profiles of MB, on a discovery cohort of 45 frozen MB samples, benchmarked against the gold standard EPIC array, and subsequently validated on a cohort of 116 MB samples. RESULTS The majority of MB in both the discovery cohort (43/45; 95.6%) and the validation cohort (110/116; 94.8%) were accurately subgrouped by Nanopore sequencing. Flongle flow cells for 18 MB allowed for a more rapid and cost-effective analysis, with 94.4% (17/18) being correctly classified. Additionally, Nanopore sequencing allowed us to correctly subtype 24/30 (80.0%) within MB groups. DISCUSSION We provided proof of concept that Nanopore sequencing can subgroup MB using DNA extracted from formalin-fixed paraffin-embedded (FFPE) samples and cell-free DNA obtained from cerebrospinal fluid. This first large-scale study establishes the proof of concept that this modern and innovative technology is well-suited for MB classification. We confirm the use of Nanopore sequencing on circulating DNA and present an initial exploration of its application on DNA extracted from FFPE samples. Its ability to deliver quick and cost-effective results firmly establishes Nanopore sequencing as a game-changer in the field of MB classification.

MDB-106. MEDULLOBLASTOMA TUMOR MICROENVIRONMENTS SHOW INTRA- AND INTER-TUMORAL HETEROGENEITY ON SPATIAL TRANSCRIPTOMICS

Abstract BACKGROUND Medulloblastoma defines a heterogeneous set of neuroepithelial neoplasms of the posterior fossa. Four groups of medulloblastoma are recognized: wingless (WNT), sonic hedgehog (SHH), group 3, and group 4. The tumor microenvironment (TME) influences tumor progression and response to therapy and has emerged as a growing target for the study of novel therapeutic approaches. METHODS We show spatial gene expression architecture through 10X Visium Spatial Sequencing on 16 formalin-fixed paraffin-embedded (FFPE) samples representing all molecular groups of medulloblastoma. Spatial transcriptomics data is correlated with clinical parameters, including M-stage at diagnosis, tumor histological classification, and outcomes data including survival and relapse status. RESULTS Spatial sequencing demonstrates both intra- and inter-tumoral TME heterogeneity across molecular subgroups. Unsupervised clustering and uniform manifold approximate projection illustrate clusters of distinct spatial gene expression representing cell states from different components of the TME, including tumor-associated astrocytes (TAA), macrophages (TAM), and vascular endothelium. Medulloblastoma cells constitute the majority of cells and express marker genes representing different stages of neuronal differentiation and cell cycle. Pathway analysis reveals the enrichment of pathways associated with cell motility (RHO GTPase, MET, MAPK signaling), heat shock response, growth factor signaling, and adaptive immune response (TLR, MHC-II signaling). In addition, molecular pathways known in medulloblastoma, including NF-kB and TP53 regulatory pathways, were also enriched. Neighborhood-enrichment analysis reveals the co-localization of TAMs and TAAs in close spatial relationship with mitotic progenitor-like medulloblastoma cells. Additionally, these two cell types constitute a greater proportion of the TME in patients at relapse compared to initial diagnosis. CONCLUSION Spatial transcriptomics enables new insight into the heterogeneity of the medulloblastoma TME. Notably, our analysis elucidates the spatial association of TAMs and TAAs with proliferating tumor cells and an increased abundance of these cell types following relapse. These initial results support the role of TAMs and TAAs in medulloblastoma progression.

TSWIFT, a novel method for iterative staining of embedded and mounted human brain sections

Comprehensive characterization of protein networks in mounted brain tissue represents a major challenge in brain and neurodegenerative disease research. In this study, we develop a simple staining method, called TSWIFT, to iteratively stain pre-mounted formalin fixed, paraffin embedded (FFPE) brain sections, thus enabling high-dimensional sample phenotyping. We show that TSWIFT conserves tissue architecture and allows for relabeling a single mounted FFPE sample more than 10 times, even after prolonged storage at 4 °C. Our results establish TSWIFT as an efficient method to obtain integrated high-dimensional knowledge of cellular proteomes by analyzing mounted FFPE human brain tissue.

Paired matched normal sequencing to accurately identify somatic clonal hematopoiesis mutations (CHm) in solid tumor tissue and plasma specimens.

3051 Background: Clonal hematopoiesis (CH), characterized by the presence of somatic mutations in blood cells, can be found in cancer-related genes when sequencing tumor tissue or plasma samples. Inability to distinguish somatic, tumor-derived mutations from CHm can lead to inaccurate treatment decisions. In this prospective study, we confirmed potential CHm in solid tumors by sequencing and analysis of paired matched normal (PMN) specimens. Methods: We prospectively enrolled 56 patients diagnosed with advanced cancer, including lung (16), colorectal (13), breast (10), gastric (7), ovarian (2), pancreatic (2), liver (2), cervix (1), uterine (1), fallopian tube (1), and perihilar bile duct (1). Targeted next-generation sequencing using a 523 gene panel was performed on paired formalin-fixed paraffin-embedded (FFPE) and circulating tumor DNA (ctDNA) samples. Additionally, whole exome sequencing was performed on PMN buffy coat samples. Analysis of all three specimens was performed to classify somatic mutations as tumor-derived or CHm. Results: We identified 21 potential CHm within the FFPE and ctDNA samples of 13 patients (23.2% of the cohort) with lung (7), breast (2), liver (2), colorectal (1), and gastric (1) cancers. CHm were further confirmed when present in buffy coat samples. The VAF of CHm in FFPE and ctDNA samples exhibited a wide range, spanning from 0.85% to 38.4%, with 7 of those identified at &lt;2% VAF. For these same aberrations, VAF in buffy coat samples ranged from 1.6% to 48%, with seven mutations exhibiting VAF levels &lt;5%. Four of these CHm were classified as oncogenic or likely oncogenic. Four CHm, including an oncogenic TP53 mutation, were identified in the oldest patient (75 years old, lung cancer), while an oncogenic DNMT3A mutation was detected in the youngest patient (42 years old, breast cancer). Both had a 30-year history of smoking. Conclusions: Our findings identified somatic CHm in a substantial subset (23.2%) of solid tumors, with four identified as oncogenic or likely oncogenic mutations. The broad spectrum of VAFs for CHm suggests that using VAF as a cut-off to exclude likely CHm may be unreliable. The low VAF CHm found in matched normal specimens indicates low-pass sequencing may not detect critical CHm, even in paired analysis. The diverse age range of patients with CHm (42 to 75 years old) suggests that CHm are not restricted to older populations, and that additional factors, such as smoking history, may play a role. These findings underscore the importance of incorporating routine PMN buffy coat sequencing into clinical practice, to identify somatic CHm that can impact personalized cancer treatment strategies.

A Fast, Affordable, and Minimally Invasive Diagnostic Test for Cancer of Unknown Primary Using DNA Methylation Profiling

Currently, we cannot provide a conclusive diagnosis for 3% to 5% of people who are confronted with cancer. These patients have cancer of unknown primary (CUP), ie, a metastasized cancer for which the tissue of origin cannot be determined. Studies have shown that the DNA methylation profile is a unique “fingerprint” that can be used to classify tumors. Here we used cell-free reduced representation bisulfite sequencing (cfRRBS), a technique that allows us to identify the methylation profile starting from minimal amounts of highly fragmented DNA, for CUP diagnosis on formalin-fixed paraffin-embedded (FFPE) tissue and liquid biopsies. We collected 80 primary tumor FFPE samples covering 16 tumor entities together with 15 healthy plasma samples to use as a custom cfRRBS reference data set. Entity-specific methylation regions are defined for each entity to build a classifier based on nonnegative least squares deconvolution. This classification framework was tested on 30 FFPE, 19 plasma, and 40 pleural and peritoneal effusion samples of both known metastatic tumors and clinical CUPs for which pathological investigation finally resulted in a cancer diagnosis. Using this framework, 27 of 30 FFPE (all CUPs) and 16 of 19 plasma samples (10/13 CUPs) obtained an accurate diagnosis, with a minimal DNA input of 400 pg. Diagnosis of the 40 pleural and peritoneal effusion samples is possible in 9 of 27 samples with negative/inconclusive cytology (6/13 CUPs), showing that cell-free DNA (cfDNA) methylation profiling could complement routine cytologic analysis. However, a low “cfDNA – high-molecular weight DNA ratio” has a considerable impact on the prediction accuracy. Moreover, the accuracy improves significantly if the predicted tumor percentage is >7%. This proof-of-concept study shows the feasibility of using DNA methylation profiling on FFPE and liquid biopsy samples such as blood, ascites, and pleural effusions in a fast and affordable way. Our novel RRBS-based technique requires minimal DNA input, can be performed in <1 week, and is highly adaptable to specific diagnostic problems as we only use 5 FFPE references per tumor entity. We believe that cfRRBS methylation profiling could be a valuable addition to the pathologist’s toolbox in the diagnosis of CUPs.