Formalin-fixed And Paraffin-embedded Research Articles

Evaluation of DNAmAge in paired fresh, frozen, and formalin-fixed paraffin-embedded heart tissues.

The continued development in methylome analysis has enabled a more precise assessment of DNA methylation, but treatment of target tissue prior to analysis may affect DNA analysis. Prediction of age based on methylation levels in the genome (DNAmAge) has gained much interest in disease predisposition (biological age estimation), but also in chronological donor age estimation in crime case samples. Various epigenetic clocks were designed to predict the age. However, it remains unknown how the storage of the tissues affects the DNAmAge estimation. In this study, we investigated the storage method impact of DNAmAge by the comparing the DNAmAge of the two commonly used storage methods, freezing and formalin-fixation and paraffin-embedding (FFPE) to DNAmAge of fresh tissue. This was carried out by comparing paired heart tissue samples of fresh tissue, samples stored by freezing and FFPE to chronological age and whole blood samples from the same individuals. Illumina EPIC beadchip array was used for methylation analysis and the DNAmAge was evaluated with the following epigenetic clocks: Horvath, Hannum, Levine, Horvath skin+blood clock (Horvath2), PedBE, Wu, BLUP, EN, and TL. We observed differences in DNAmAge among the storage conditions. FFPE samples showed a lower DNAmAge compared to that of frozen and fresh samples. Additionally, the DNAmAge of the heart tissue was lower than that of the whole blood and the chronological age. This highlights caution when evaluating DNAmAge for FFPE samples as the results were underestimated compared with fresh and frozen tissue samples. Furthermore, the study also emphasizes the need for a DNAmAge model based on heart tissue samples for an accurate age estimation.

Quantifying mRNA in Highly Degraded Fixed Tissues by Nanostring Technology: A Comparative Study

Archive tissues are the most available source of human tissues useful for molecular analysis in translational research. The main issues for those specimens are the modification and degradation of biomolecules, namely proteins, DNA, and RNA. In the last decade, several high-throughput analytical methods have been applied to archive tissues. Although histological tissues are fixed in neutral-buffered formalin nowadays, in the recent past, Bouin’s solution was also used in tissue processing. The present study aims to investigate the feasibility of nCounter Nanostring hybridization in quantifying mRNA in highly degraded samples, such as Bouin’s fixed and paraffin-embedded (BFPE) tissues, in comparison to the standard formalin-fixed and paraffin-embedded (FFPE) tissues as a source of RNA. A total of 16 paraffin-embedded tissue blocks from eight patients were analyzed (8 were FFPE and 8 were BEPE). Nanostring technology was applied to 300 ng of each RNA sample, whereas 360 ng of the same templates were retrotranscribed and submitted to qPCR and ddPCR. Our results show that the Nanostring technology outperforms the reference methods (ddPCR and qPCR) in detecting target mRNA in FFPE and BFPE samples. However, even Nanostring technology does not escape the limitation imposed by the degradation of the RNA templates, which could lead to misleading conclusions on the gene expression level.

Prediction model for pheochromocytoma/paraganglioma using nCounter assay.

World Health Organization defined pheochromocytomas/paragangliomas (PPGL) as malignant tumors in 2017 because the existing classification system could not reflect locally aggressive behavior sufficiently. However, predicting the likelihood of metastasis remains a crucial part of the treatment strategy. From one tertiary care hospital and onesecondary hospital, 97 PPGL cases were selected. Medical records of PPGL cases with the presence of formalin-fixed and paraffin-embedded (FFPE) tissue of primary lesion were reviewed. For FFPE tissues, a nCounter assay was conducted to determine differently expressed genes between metastatic and non-metastatic PPGL groups. Performances of prediction models for the likelihood of metastasis were calculated. Of a total of 97 PPGL cases, 39, 20, and 38 were classified as benign, malignant, and validation, respectively. In the nCounter assay, CDK1, TYMS, and TOP2A genes showed significant differences in expression. Tumor size was positively correlated with CDK1 expression level. The Lasso regression model showed supreme performance of sensitivity 91.7% and specificity 95.5% when those significant factors were considered. Machine learning of multi-modal classifiers can be used to create a prediction model for metastasis of PPGL with high sensitivity and specificity using nCounter assay. Moreover, CDK1 inhibitors could be considered for developing drug treatment.

Virtual formalin-fixed and paraffin-embedded staining of fresh brain tissue via stimulated Raman CycleGAN model.

Intraoperative histology is essential for surgical guidance and decision-making. However, frozen-sectioned hematoxylin and eosin (H&E) staining suffers from degraded accuracy, whereas the gold-standard formalin-fixed and paraffin-embedded (FFPE) H&E is too lengthy for intraoperative use. Stimulated Raman scattering (SRS) microscopy has shown rapid histology of brain tissue with lipid/protein contrast but is challenging to yield images identical to nucleic acid-/protein-based FFPE stains interpretable to pathologists. Here, we report the development of a semi-supervised stimulated Raman CycleGAN model to convert fresh-tissue SRS images to H&E stains using unpaired training data. Within 3 minutes, stimulated Raman virtual histology (SRVH) results that matched perfectly with true H&E could be generated. A blind validation indicated that board-certified neuropathologists are able to differentiate histologic subtypes of human glioma on SRVH but hardly on conventional SRS images. SRVH may provide intraoperative diagnosis superior to frozen H&E in both speed and accuracy, extendable to other types of solid tumors.

Predominance of T-bet-positive Th1 cells in infiltrating T-lymphocytes in most of active arteritis lesions of giant cell arteritis.

Immunological mechanisms through the activation of CD4-positive T-cells have been assumed to be involved in the pathogenesis of giant cell arteritis (GCA). Many studies employing frozen tissues of temporal artery biopsy, peripheral blood lymphocytes, and plasma of GCA patients have revealed the contribution of interferon-γ and interleukin-17 in both protein and mRNA levels. However, the analyses using formalin-fixed and paraffin-embedded (FFPE) tissue specimens, in which the correlation between histopathologic pictures and immunological circumstances would be elucidated, have been limited. Here, we performed the immunohistochemical analyses of infiltrating small lymphocytes in GCA lesions using FFPE specimens, especially of the subsets of CD4-positive T-cells by immunohistochemistry with antibodies against T-bet, GATA-3, RORγT, and Foxp3, which is the differentiation-specific transcription factor for Th1, Th2, Th17, and Treg cells, respectively. In these slides, the nuclear-positive staining is much more clearly and easily identifiable than the cytoplasmic staining for cytokines. The results indicate the predominance of T-bet-positive Th1 cells in infiltrating T-cells in most of active arteritis lesions of GCA. Furthermore, our data suggest the possible immunosuppressive microenvironment induced by T-reg cells and M2-type macrophages in the arteritis lesions throughout the course of GCA inflammation.

Characteristics of innate and adaptive immune disorder in IgA nephropathy based on integrated bioinformatics.

Our study aims to investigate the immunological pathogenesis underlying immunoglobulin A nephropathy (IgAN) and explore potential biomarkers for IgAN diagnosis. Differentially expressed genes (DEGs) of formalin-fixed and paraffin-embedded (FFPE) samples were screened between IgAN patients and healthy people based on GSE115857. Gene oncology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) enrichment was performed to identify related biological processes and pathways. CIBERSORT was utilized to seek the relationship of immune cell infiltration with IgAN. Finally, the expression of paraoxonase 2 (PON2) related to innate immune response was verified in FFPE samples of minimal change disease and IgAN patients by immunohistochemistry and PAS staining. 25 down-regulated genes and 12 up-regulated genes were identified in IgAN patients, which mainly responded to endothelial cell proliferation, inflammatory response, and angiogenesis. Toll-like receptor signaling pathway and Epstein-Barr virus (EBV) infection might be involved in IgAN pathogenesis. In addition, the infiltration of macrophages M0, naïve B cells, and follicular helper T (Tfh) cells was positively correlated in IgAN patients. Macrophages M1 and M2 infiltration were up-regulated in IgAN patients, which indicated that innate immune response was closely associated with IgAN. Besides, the results of immunohistochemistry showed that PON2 was obviously positively expressed in acute and chronic lesions of IgAN patients. In addition to abnormalities in the adaptive immune response, macrophages M1/M2 and innate immune disorder may participate in IgAN pathogenesis. PON2 may become the feasible targets for further investigation of IgAN.

Pathological investigation of high pathogenicity avian influenza H5N8 in captive houbara bustards (Chlamydotis undulata), the United Arab Emirates 2020

At the end of 2020, an outbreak of HPAI H5N8 was registered in captive African houbara bustards (Chlamydotis undulata) in the United Arab Emirates. In order to better understand the pathobiology of this viral infection in bustards, a comprehensive pathological characterization was performed. A total of six birds were selected for necropsy, histopathology, immunohistochemistry, RNAscope in situ hybridization and RT-qPCR and nanopore sequencing on formalin-fixed and paraffin-embedded (FFPE) tissue blocks. Gross lesions included mottled and/or hemorrhagic pancreas, spleen and liver and fibrinous deposits on air sacs and intestine. Necrotizing pancreatitis, splenitis and concurrent vasculitis, hepatitis and fibrino-heterophilic peritonitis were identified, microscopically. Viral antigens (nucleoprotein) and RNAs (matrix gene) were both detected within necro-inflammatory foci, parenchymal cells, stromal cells and endothelial cells of affected organs, including the myenteric plexus. Molecular analysis of FFPE blocks successfully detected HPAI H5N8, further confirming its involvement in the lesions observed. In conclusion, HPAI H5N8 in African houbara bustards results in hyperacute/acute forms exhibiting marked pantropism, endotheliotropism and neurotropism. In addition, our findings support the use of FFPE tissues for molecular studies of poorly characterized pathogens in exotic and endangered species, when availability of samples is limited.

Abstract B107: Spatial transcriptomics analysis of PanIN reveals loss of pro-inflammatory signaling and the presence of cancer-associated fibroblasts

Abstract Pancreatic intraepithelial neoplasia (PanIN) is a premalignant lesion that potentially progresses into pancreatic ductal adenocarcinoma (PDAC). Since PanIN diagnosis is restricted to formalin-fixed and paraffin-embedded (FFPE) samples, little is known about PanIN interactions with the surrounding microenvironment due to the technical limitations to perform genome-wide single-cell analysis. We developed whole transcriptome spatial technology for FFPE to provide the ideal tool to profile PanINs in their microenvironment. We performed FFPE spatial transcriptomics (ST) using the Visium (10x Genomics) approach in a cohort of 14 PanIN lesions (9 low-grade and 5 high-grade). To overcome experimental limitations, we developed an artificial intelligence method to integrate imaging, spatial transcriptomics, and single-cell RNA-seq (scRNA-seq) analyses. Imaging analysis of the same stained sections used for ST was applied before gene expression exploration. Using machine learning to annotate cell types, we were able to deconvolve and quantify the cell types per ST spot using cell morphology instead of a scRNA-seq gene expression reference. Subsequently, we applied transfer learning to a scRNA-seq PDAC atlas that was built from multiple published datasets. The whole transcriptome ST findings were confirmed using targeted single-cell transcriptomics (Xenium, 10x Genomics) and proteomics (imaging mass cytometry, IMC). The analysis revealed that PanINs already exhibit molecular and cellular features of PDAC, including expression of the PDAC classical subtype signature and the presence of the same cancer-associated fibroblast (CAF) subtypes enriched in invasive carcinoma stages. The CAF subtypes, including the recently described antigen-presenting CAFs, were confirmed at single-cell resolution using Xenium and IMC. Integrating multi-omics data with a PDAC scRNA-seq atlas through transfer learning, revealed that an inflammatory pattern gradually decreases during PanIN progression, accompanied by a compensatory increase in proliferation pathways in the PanIN cells relative to normal duct cells. This trend between inflammation and proliferation was confirmed specifically in PanIN cells using Xenium. Our experimental and computational approach provides valuable insights into the dynamics of pancreatic tumor progression from PanIN lesions using innovative methods to provide a unique spatial multi-omics reference of PanINs. Citation Format: Alexander T.F. Bell, Jacob T. Mitchell, Ashley L. Kiemen, Melissa Lyman, Kohei Fujikura, Jae W. Lee, Erin Coyne, Sarah M. Shin, Pei-Hsun Wu, Jacquelyn W. Zimmerman, Denis Wirtz, Won J. Ho, Neeha Zaidi, Elizabeth Thompson, Elizabeth M. Jaffee, Laura D. Wood, Elana J. Fertig, Luciane T. Kagohara. Spatial transcriptomics analysis of PanIN reveals loss of pro-inflammatory signaling and the presence of cancer-associated fibroblasts [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B107.

The relationship between gastric microbiome features and responses to neoadjuvant chemotherapy in gastric cancer.

Emerging evidence demonstrates that the gastrointestinal microbiome has the potential to be a biomarker in neoadjuvant chemoradiotherapy for colorectal cancer (CRC). Yet studies on the impact of the gastric microbiome (GM) on the response to neoadjuvant chemotherapy (NACT) are still scarce. Forty-eight patients with gastric cancer participated in this retrospective study, and 16S rRNA sequencing was performed to evaluate formalin-fixed and paraffin-embedded (FFPE) tissue biospecimens and fresh-frozen tissues. In this study, 16 bacterial taxa at different levels, including Bacillus, Anaerococcus, and Chloroflexi, were identified to be enriched before NACT in response (R) patients in group FFPE. In contrast, 6 bacterial taxa, such as Haemophilus, Veillonellaceae (Veillonella), etc. were enriched after NACT, in which we reported for the first time that the phylum Chloroflexi was enriched before NACT in R patients. Thirty-one bacterial taxa of Coriobacteriaceae, Ruminococcaceae, Veillonellaceae, and Lachnospiraceae were identified in group mucosa as being enriched in R patients. In comparison, 4 bacterial taxa dominated by the phylum Proteobacteria were enriched in NR patients. Notably, the family Veillonellaceae was found in both tissue samples, and the metabolic pathways, including the citrate cycle (TCA cycle) and various amino acids, including alanine, were found to be potentially predictive in both sample species. There are differences in the features of the GM for different NACT response results. The causal relationship deserves to be confirmed by further investigations.

Label-free and non-destructive histology of unprocessed biological tissues with ultraviolet single-plane illumination microscopy

Histopathology has remained the gold standard for surgical margin assessment for decades. However, routine pathological examination based on formalin-fixed and paraffin-embedded (FFPE) tissues is laborious and time-consuming, failing to guide surgeons intraoperatively. Here, we propose a rapid, label-free, and non-destructive histological imaging method, termed microscopy with ultraviolet single-plane illumination (MUSI). With intrinsic fluorescence from deep ultraviolet excitation, MUSI enables both ex vivo and in vivo imaging of fresh and unprocessed tissues at the subcellular level with an imaging speed of 0.5 mm2/s, generating high-quality optically sectioned surface images from irregular surgical tissues with a long depth-of-field. We demonstrate that MUSI could differentiate between different subtypes of human lung adenocarcinomas (e.g., lepidic, acinar, papillary, and micropapillary), revealing diagnostically important features that are comparable to the gold standard FFPE histology. As an assistive imaging platform, MUSI can provide immediate feedback to surgeons and pathologists for intraoperative decision-making, holding great promise to revolutionize the current clinical practice in surgical pathology.

Immunohistochemistry for Cancer Stem Cell Detection: Principles and Methods.

Cancer stem cells (CSCs) are rare immortal cells within tumors with capabilities of self-renewal, differentiation, and tumorigenicity. CSCs play a pivotal role in the tumor development, progression, relapse, and resistance of anticancer therapy. The technique of choice to detect CSCs in formalin-fixed and paraffin-embedded (FFPE) samples is immunohistochemistry (IHC) since it is inexpensive and widespread in most laboratories. The main aims of this chapter are the description of the protocols and the automated immunohistochemical systems used for the identification of CSCs. Furthermore, a focus on the most common troubleshooting in CSC IHC is provided. Finally, an overview of the main markers of cancer stem cells in several cancer types will be provided.

Prevalence of Chlamydia infection detected by immunohistochemistry in patients with anorectal ulcer and granulation tissue

Anorectal ulcer with granulation tissue is typically associated with left-sided inflammatory bowel disease or infection. Due to emerging cases of Chlamydia proctitis, we aim to investigate the prevalence of Chlamydia infection using immunohistochemistry (IHC) in anorectal biopsies showing ulcer and granulation tissue. Seventy-seven patients including 60 males and 17 females with mean age of 51 years old were retrospectively identified in surgical pathology archives. Chlamydia IHC was validated with a monoclonal antibody on an index who was positive for Chlamydia by rectal swab nucleic acid amplification test (NAAT), then performed on formalin fixed and paraffin embedded (FFPE) tissue sections. Confirmative molecular test using real-time PCR was performed on DNA extractions of 14 IHC-positive and 14 IHC-negative FFPEs, 18 NAAT-positive, and 5 NAAT-negative cytology specimens. Chlamydia IHC showed strong intracytoplasmic or extracellular sphere morphology in 14 of 77 (18.2 %) FFPEs, including 11 of 60 (18.3 %) males and 3 of 17 (17.6 %) females (age 11–84 years). Eight of 14 (57.1 %) Chlamydia-IHC positive patients had known history of STDs, high-risk behavior, or immunosuppressive conditions. One of 14 (7.1 %) IHC-positive FFEP and 15 of 18 (83.3 %) NAAT-positive cytology cases were confirmed by real-time PCR. Chlamydia inclusions were detected in all 4 randomly selected NAAT and PCR-positive cytology specimens by IHC. Our data suggested that Chlamydia infection is more prevalent than we thought in patients with active proctitis and ulceration. Chlamydia IHC may be performed as a screening test in biopsies to facilitate early detection of this treatable proctitis in high-risk population.

Molecular Typing of Leishmania spp. Causing Tegumentary Leishmaniasis in Northeastern Italy, 2014-2020.

Tegumentary leishmaniasis (TL) is endemic but neglected in southern Europe. Therefore, this study aimed to analyze the Leishmania strains causing TL cases in northeastern Italy, where an upsurge of TL cases has been observed in the last decade. Sections from 109 formalin-fixed and paraffin-embedded (FFPE) biopsies of skin and mucosal tissues were collected from TL cases in the selected area. Two DNA targets were amplified and sequenced: the ribosomal internal transcribed spacer 1 (ITS1) and the heat-shock protein 70 gene (hsp70). An in silico analysis was also performed on 149 genomes belonging to the Leishmania donovani complex. A total of 88 out of 109 (80.7%) samples from 83 TL cases were successfully typed by ITS1 and/or hsp70. ITS1 analysis identified L. infantum in 67 cases (91.8%), while L. major (n = 4, 5.5%) and L. tropica (n = 2, 2.7%) were detected in the remaining cases that were categorized as imported. Further, the hsp70 typing of 75 autochthonous cases showed the presence of eight distinct sequence variants belonging to the Leishmania donovani complex, with high genetic variability when compared to known L. infantum populations. In conclusion, our findings show that peculiar L. infantum variants are emerging in the novel focus on TL in northeastern Italy.

Challenges to the effectiveness of next-generation sequencing in formalin-fixed paraffin-embedded tumor samples for non-small cell lung cancer

IntroductionNext-generation sequencing (NGS) of Formalin-Fixed and Paraffin-Embedded (FFPE) specimens is routine in precision oncology practice. However, results are not always conclusive, and it is important to identify which factors may influence FFPE tumor sequencing success. Materials and methodsHere, we evaluated the influence of pre-analytical factors on 705 samples of non-small cell lung cancer specimens that underwent NGS testing. Factors such as tumor site, tumor cell percentage, fragment size, primary tumor or metastasis, presence of necrosis, DNA purity, DNA concentration, sample origin and year of testing. ResultsThe overall NGS success rate was 84.9 % (n = 599). Bone site specimens had a very low success rate (42.1 %), differing from lung samples (79.8 %) (P < 0.05). Samples with tumor percentages <5 % (success rate of 44.4 %) represented 14.1 % of failed sequencings. Moreover, samples with tumor percentages >10 %–20 % (82 %) did not differ from those with >30 % (88.9 %) on sequencing outcomes (P = 0.086). Specimens that provided DNA concentrations >2.0 ng/uL, 1.0–2.0 ng/uL, 0.5–1.0 ng/uL and <0.5 ng/uL had success rates of 92 %, 77.1 %, 61.3 % and 20.4 %, respectively. Small fragments (≤0.2 cm2) had a success rate of 74.7 % and were more prevalent in the unsuccessful group (P < 0.05). ConclusionsOur results suggest that tumor percentage, fragment size, decalcified bone specimens, and DNA concentration are potential modifiers of NGS success rates. Interestingly, specimens with tumor percentages between 10 % and 20 % have the same sequencing outcome than specimens with >30 %. These results can strengthen the understanding of factors that lead to NGS success variability.

A comprehensive assessment of exome capture methods for RNA sequencing of formalin-fixed and paraffin-embedded samples

RNA-Seq analysis of Formalin-Fixed and Paraffin-Embedded (FFPE) samples has emerged as a highly effective approach and is increasingly being used in clinical research and drug development. However, the processing and storage of FFPE samples are known to cause extensive degradation of RNAs, which limits the discovery of gene expression or gene fusion-based biomarkers using RNA sequencing, particularly methods reliant on Poly(A) enrichment. Recently, researchers have developed an exome targeted RNA-Seq methodology that utilizes biotinylated oligonucleotide probes to enrich RNA transcripts of interest, which could overcome these limitations. Nevertheless, the standardization of this experimental framework, including probe designs, sample multiplexing, sequencing read length, and bioinformatic pipelines, remains an essential requirement. In this study, we conducted a comprehensive comparison of three main commercially available exome capture kits and evaluated key experimental parameters, to provide the overview of the advantages and limitations associated with the selection of library preparation protocols and sequencing platforms. The results provide valuable insights into the best practices for obtaining high-quality data from FFPE samples.

Performance of SHOX2 and RASSF1A methylation assay in supernatants and matched cell pellets for the diagnosis of malignant pleural effusion

BackgroundIt is difficult to distinguish between malignant pleural effusion (MPE) and benign pleural effusion (BPE). The purpose of this study was to determine the best specimen type by evaluating the DNA methylation status of SHOX2 and RASSF1A in 3 matched PE components. MethodsIn total, 94 patients were enrolled, including 45 MPE, 35 BPE, and 14 undefined PE (UPE) with malignancies. PE samples were processed into supernatants, fresh-cell pellets, and formalin-fixed and paraffin-embedded (FFPE) cell blocks, respectively. A quantitative real-time PCR was used to detect the methylation status of SHOX2 and RASSF1A. ResultsSHOX2 and RASSF1A methylation levels were significantly higher in the 3 MPE sample types than those of BPE (P < 0.05). The area under the curve using cell-free DNA (cf-DNA) was the highest. The detection sensitivity of SHOX2 and RASSF1A in fresh-cell DNA, cf-DNA and FFPE cell-block were 71.1% (32/45), 97.8% (44/45) and 66.7% (28/42), respectively, with specificities of 97.1% (34/35), 94.3% (33/35), and 96.9% (31/32). Notably, a combination of the cytological analysis and cf-DNA methylation assay showed an increase in positivity rate from 75.6% to 100%. ConclusionsThe SHOX2 and RASSF1A methylation assay using cf-DNA, the primary recommended specimen type, can excellently increase the diagnostic sensitivity of MPE. A combination of methylation assay with cytological analysis can be used for auxiliary diagnosis of PE.

Single Cell Multi Omics and Spatial Analysis Reveals Plasmablast Signature Malignant Cells As a Key of Intratumor Heterogeneity in Primary Central Nervous System Lymphoma

Background: Primary central nervous system lymphoma (PCNSL) constitutes approximately 5% of extranodal lymphomas. More than 90% of PCNSL are diagnosed as diffuse large B-cell lymphomas (DLBCL), mainly classified as the activated B cell (ABC) subtype. Recent genetic analyses have identified key molecular drivers of PCNSL, including MYD88, CARD11 and CD79B. However, molecular analyses using bulk samples have provided limited insights into the heterogeneity in lymphoma cells of PCNSL. To improve our understanding in the biology of PCNSL, we conducted a multimodal single-cell analyses and integrated single-cell and spatial analyses to characterize the molecular properties of PCNSL tumors. Methods:Our study included seven PCNSL patients and two patients with reactive lymph nodes (RLN). We performed Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) combined with B-cell and T-cell receptor (BCR and TCR) analysis on samples from 3 PCNSL and 2 RLN patients, while the remaining PCNSL patients' samples were subjected to single-cell transcriptomic sequencing. Additionally, six formalin-fixed and paraffin-embedded (FFPE) tissues from the patients analyzed in the single-cell sequencing (except for one patient) were performed with GeoMx digital spatial profiling (DSP). Result: To ensure data quality, we filtered out low-quality cells and doublets, resulting in a dataset of 41,556 single cells. B cells represented the most abundant cluster, followed by T cells and monocytes. Copy number alterations (CNAs) data derived from InferCNV analysis showed distinct CNAs patterns in lymphoma cells of each patient. UMAP plot projection analysis revealed the presence of a distinct subtype of malignant cells within the B-cell population, which was characterized as high expression of plasmablast (PBL)-associated surface proteins, including SLAMF7, CD39, and CD38. Enrichment analysis based on germinal center (GC) gene expression signatures (Holmes AB et al. J Exp Med. 2020) revealed a broader spectrum of B-cell differentiation states in malignant B cells. Single-cell BCR sequencing further demonstrated that different GC signature state cells harbored the same BCR repertoire within each patient, suggesting a common origin of malignant cells. Non-negative matrix factorization (NMF) analysis confirmed the enrichment of PBL signature scores in the distinct malignant cell population observed in the UMAP plot, consistent with DPE analysis (Figure A). Interestingly, the proportion of PBL signature cells varied among patients. Signaling interaction analysis highlighted CD70-CD27 and SPP1-CD44 pathways as enriched in tumor cells. PBL signature cells received TNFSF13B and TNFSF13 signaling through TNFRSF17 (BCMA), whereas other tumor cells expressed TNFRSF13C (BAFF-R) and received TNFSF13B signaling alone. We further analyzed two public bulk RNA-seq data (Bruno A et al. Neuro Oncol 2018, n = 6; Radke J et al. Nat Commun 2022, n=38) in PCNSL to decompose tumor components. Tumor PBL components were identified in most PCNSL cases, although several cases exhibited a low presence of tumor PBL population. Of note, analysis including these public datasets with our single-cell cohort showed that PCNSL samples with high tumor PBL proportion had unfavorable prognosis . Additionally, we performed DSP to integrate the single-cell and spatial multi-omics analyses. We deconvoluted the cell composition by using transcriptomic data derived from each region of interest (ROI) and found that the cell proportions in ROI were consistent with the corresponding single-cell results. However, there were differential profiles of cell composition according to patients rather than ROIs, suggesting that PCNSL tumors may display spatial homogeneity (Figure B). Conclusion: Through the application of single-cell and spatial transcriptomic analysis, we identified a distinct subtype expressing the PBL signature gene. These findings have important therapeutic implications and provide new insights into the mechanisms of relapse in PCNSL.

Spatial Technologies Reveal the Immune Landscape of Pediatric Acute Myeloid Leukemia

Pediatric acute myeloid leukemia (AML) is a cancer with a particularly low mutational burden in comparison to other pediatric and adult cancers and therefore, thought to be a poor candidate for T cell-engaging immunotherapies (Gröbner et al., 2018; Pfister et al., 2022). However, little is known about the composition and function of T cells in the bone marrow (BM) of pediatric AML patients. Insight into the frequency and function of BM T cells in children with AML is relevant for naturally occurring AML immune defenses, as well as for T cell-engaging immunotherapies (Koedijk et al., 2021). Here, we performed a multidimensional characterization of the tumor immune microenvironment in children with newly diagnosed AML. We obtained 82 formalin-fixed and paraffin-embedded (FFPE) diagnostic bone biopsies from a representative cohort of pediatric patients with treatment-naïve de novo AML (N=72) and from age- and sex-matched pediatric patients with treatment-naïve early-stage rhabdomyosarcoma without malignant BM infiltration (non-leukemic controls, N=10). We employed immunohistochemistry (IHC) alongside immune-related gene expression profiling (NanoString PanCancer IO 360 TM Panel) and spatial transcriptomics (NanoString GeoMx TM Whole Transcriptome Atlas). Moreover, we acquired an additional dataset of pre-treatment immune-related gene expression profiling obtained from the BM of 30 flotetuzumab-treated (CD3 x CD123 bispecific antibody) refractory/relapsed (R/R) adult AML patients (NCT02152956; Vadakekolathu et al., 2020) for TIDE-based immune deconvolution (Jiang et al., 2018). Using IHC, we identified (a trend towards) a decreased abundance of the overall number of T cells ( P=0.09) and CD8 + T cells ( P=0.011; Panel A) in the BM of pediatric AML patients in comparison to non-leukemic controls, respectively. Notably, the extent of overall T cell and CD8 + T cell infiltration could differ up to 180-fold between individual AML patients. In general, this difference in T cell infiltration was not associated with the abundance of leukemic blasts or patient's cytogenetic alterations. Nevertheless, children with complex karyotype AML had higher numbers of BM T cells compared to children with normal karyotype AML ( P=0.03).Using differential gene expression analysis, we identified genes related to T cell-attracting chemokines, cytotoxicity, and immune checkpoints to be significantly upregulated in T cell-infiltrated- compared to T cell-depleted samples. Moreover, the ratio of anti- to pro-inflammatory macrophages (M2/M1-ratio) was significantly lower in T cell-infiltrated- compared to T cell-depleted pediatric AML samples ( P&amp;lt;0.001). Interestingly, this M2/M1-ratio was also significantly lower in R/R adults that responded to flotetuzumab immunotherapy in comparison to non-responders ( P&amp;lt;0.001). In fact, this M2/M1-ratio outperformed several other known predictors of response to flotetuzumab immunotherapy (AUROC: 0.852 (95% CI: 0.71-0.99), P=0.001; Jiang et al., 2018; Ayers et al., 2017). In addition, IHC revealed that 9 immune-infiltrated samples, including 6 KMT2A-rearranged AML samples, harbored large networks of T- and B cells (representative image of B cell-networks shown in panel B). Using spatial transcriptomics, we dissected the composition of these lymphoid aggregates and revealed localized anti-tumor immunity in the BM of AML. In comparison to tumor areas, these aggregates showed a higher abundance of activated cytotoxic T cells ( P&amp;lt;0.001), memory B cells ( P&amp;lt;0.001), and plasma cells ( P&amp;lt;0.001), suggesting the presence of tertiary lymphoid structure-like (TLS-like) aggregates in the BM of AML. In conclusion, we identified a subset of pediatric AML patients with relatively high T cell infiltration and a relatively low abundance of anti-inflammatory macrophages in the BM at diagnosis. Furthermore, we found that the BM M2/M1-ratio may be informative of response to T-cell engaging immunotherapies in adult AML, which needs to be validated in pediatric AML. Lastly, for the first time, we identified TLS-like aggregates in the BM of AML patients, which have been associated with immunotherapy response in many cancers (Schumacher &amp; Thommen, 2022). Additional studies to further characterize the function and relevance of these lymphoid aggregates are ongoing.

Proteomic analyses identify HK1 and ATP5A to be overexpressed in distant metastases of lung adenocarcinomas compared to matched primary tumors

Lung cancer is the leading cause of cancer-related deaths worldwide with lung adenocarcinoma (LUAD) being the most common type. Genomic studies of LUAD have advanced our understanding of its tumor biology and accelerated targeted therapy. However, the proteomic characteristics of LUAD are still insufficiently explored. The prognosis for lung cancer patients is still mostly determined by the stage of disease at the time of diagnosis. Focusing on late-stage metastatic LUAD with poor prognosis, we compared the proteomic profiles of primary tumors and matched distant metastases to identify relevant and potentially druggable differences. We performed high-performance liquid chromatography (HPLC) and electrospray ionization tandem mass spectrometry (ESI–MS/MS) on a total of 38 FFPE (formalin‐fixed and paraffin‐embedded) samples. Using differential expression analysis and unsupervised clustering we identified several proteins that were differentially regulated in metastases compared to matched primary tumors. Selected proteins (HK1, ATP5A, SRI and ARHGDIB) were subjected to validation by immunoblotting. Thereby, significant differential expression could be confirmed for HK1 and ATP5A, both upregulated in metastases compared to matched primary tumors. Our findings give a better understanding of tumor progression and metastatic spreads in LUAD but also demonstrate considerable inter-individual heterogeneity on the proteomic level.

Significance of micro-EGFR T790M mutations on EGFR-tyrosine kinase inhibitor efficacy in non-small cell lung cancer.

Small amounts of epidermal growth factor receptor (EGFR) T790M mutation (micro-T790M), which is detected using droplet digital PCR (ddPCR) but not conventional PCR, in formalin-fixed and paraffin-embedded (FFPE) samples have been investigated as a predictive factor for the efficacy of EGFR-tyrosine kinase inhibitors (TKIs). However, the predictive value of micro-T790M remains controversial, possibly owing to the failure to examine artificial T790M in FFPE specimens. Therefore, we examined the predictive value of micro-T790M in first-generation (1G), second-generation (2G), and third-generation (3G) EGFR-TKI efficacy using a new method to exclude FFPE-derived artificial mutations in our retrospective cohort. The primary objective was time to treatment failure (TTF) of 1G, 2G, and 3G EGFR-TKIs according to micro-T790M status. In total, 315 patients with EGFR-positive non-small cell lung cancer treated with 1G, 2G, and 3G EGFR-TKIs were included in this study. The proportion of patients positive formicro-T790M in the 1G, 2G, and 3G EGFR-TKI groups was 48.2%, 47.1%, and 47.6%, respectively. In the micro-T790M-positive group, the TTF was significantly longer in the 2G and 3G EGFR-TKI groups than in the 1G TKI group. No differences in the micro-T790M-negative group were observed. Micro-T790M status detected using ddPCR, eliminating false positives, may be a valuable predictor of EGFR-TKI efficacy.