Archival Paraffin-embedded Tissue Research Articles

Systematic review and feasibility study on pre-analytical factors and genomic analyses on archival formalin-fixed paraffin-embedded breast cancer tissue

Formalin-fixed paraffin-embedded (FFPE) tissue represents a valuable source for translational cancer research. However, the widespread application of various downstream methods remains challenging. Here, we aimed to assess the feasibility of a genomic and gene expression analysis workflow using FFPE breast cancer (BC) tissue. We conducted a systematic literature review for the assessment of concordance between FFPE and fresh-frozen matched tissue samples derived from patients with BC for DNA and RNA downstream applications. The analytical performance of three different nucleic acid extraction kits on FFPE BC clinical samples was compared. We also applied a newly developed targeted DNA Next-Generation Sequencing (NGS) 370-gene panel and the nCounter BC360® platform on simultaneously extracted DNA and RNA, respectively, using FFPE tissue from a phase II clinical trial. Of the 3701 initial search results, 40 articles were included in the systematic review. High degree of concordance was observed in various downstream application platforms. Moreover, the performance of simultaneous DNA/RNA extraction kit was demonstrated with targeted DNA NGS and gene expression profiling. Exclusion of variants below 5% variant allele frequency was essential to overcome FFPE-induced artefacts. Targeted genomic analyses were feasible in simultaneously extracted DNA/RNA from FFPE material, providing insights for their implementation in clinical trials/cohorts.

Abstract 6255: Personalized medicine for DCIS

Abstract Background: In 2023, 55,720 women will be diagnosed with non-invasive ductal carcinoma in situ (DCIS) in the United States. We evaluated RNA sequencing (RNA-Seq), clinical and social factors that drive subsequent breast events in a DCIS study population enriched for Black women (30%). Methods: RNA was extracted from macrosections of archival formalin-fixed paraffin-embedded (FFPE) DCIS tissue from Resource Archival Human Breast Tissue (RAHBT) from the St. Louis Breast Tissue Registry at Washington University School of Medicine and the Dana Farber Cancer Institute patient cohorts. Tissues were prepared by microsection of 5 uM whole section from unstained slides (Fisher). RNA was extracted using Qiagen RNeasy FFPE Kits from macrosectioned DCIS specimens. Purified total RNA was evaluated for quality and quantity using the Agilent Fragment Analyzer RNA assay. Bulk RNA sequencing was piloted in DCIS case-control samples using the SMART-seq and Hybrid Capture platforms at the DFCI Molecular Biology Core Facilities. Raw reads were aligned to the GRCh38/hg38 reference genome using STAR. Preliminary quality control analysis of a curated gene list showed higher quality data using the Hybrid Capture technology. Libraries for Hybrid Capture were pooled in 8plex reactions and hybridized to Twist Exome 2.0 probes for target enrichment. The final library pools were sequenced on an Illumina NovaSeq. Cases were defined as women diagnosed with DCIS in 1999 or later with subsequent invasive breast cancer, local DCIS recurrence, or lobular CIS recurrence. Controls were defined as women diagnosed with DCIS in 1999 or later without subsequent breast events during a similar follow-up time. The R package DESeq2 was used for data analysis. Results: The mean age at DCIS diagnosis was 56.3 (Std Dev 10.23). The mean follow-up time was 147.8 months. Hybrid Capture RNA-Seq files are stored and analyzed from the Harvard Medical School O2 Cluster using R programming (version 4.2.2, DEGreport). Quality control analyses demonstrated that the majority of the samples sequenced by Hybrid Capture had over 20 million total reads. Principal Component Analyses (PCA) and hierarchical clustering analyses of 19,821 protein-coding genes were conducted on the 143 DCIS samples sequenced using Hybrid Capture. PC1 was race (9%). A significant association was observed for follow-up time (PC3, 4.03%). First, we explored the association of the candidate gene ERBB2. The mean transcript abundance for ERBB2 was 11784.37 (case-control p-value=0.08). Preliminary analysis of selected genes of interest did not show statistically significant differences between cases and controls after FDR p-value adjustment. Differential gene expression analyses are ongoing. Conclusion: This study demonstrates the feasibility of generating high-quality RNA-seq data from diverse, archival DCIS samples. Citation Format: Aditi Hazra. Personalized medicine for DCIS [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6255.

Abstract A012: Genomic landscape of somatic alterations identified in endometrial cancer using liquid biopsy

Abstract Background: With advances in understanding the biology of endometrial cancer, molecular sub-groups have been defined to assess prognosis and guide treatment decisions. This classification is based on surrogate markers in archival paraffin-embedded tissues. The landscape of somatic alterations as detected by liquid biopsy has not been well described in advanced endometrial cancer. Methods: A retrospective analysis was performed using de-identified genomic data collected from patients with advanced endometrial cancer who underwent liquid biopsy testing with a 74-83 gene panel as part of clinical care (Guardant360, Guardant Health, Inc.). Results: 1,988 females with a median age of 68 [range 23-95] years were included in the analysis. 45% of patients were tested at diagnosis of advanced disease; 43% were tested at time of disease progression. 91.6% of patients had ≥1 somatic alteration detected and 12% of patients were MSI-High. The most frequently altered genes included TP53 (65%), PIK3CA (31%), PTEN (27%), ARID1A (24%), like prior reports of genomic alterations detected in tissue samples. CCNE1 amplifications were enriched in 11% of samples with TP53 alterations (p<0.0001; q<0.0001) and EGFR amplifications were enriched in samples without TP53 alterations (p<0.0001; q<0.0001). MSI-H samples were enriched for alterations in ARID1A, PTEN, PIK3CA, ATM, MSH6 and others, while samples without MSI were enriched for alterations in TP53 and CCNE1 (p<0.0001; q<0.0001). Oncogenic fusions were rare in this cohort (0.2%) and included FGFR1 and FGFR3 rearrangements. Activating, druggable alterations were identified in PIK3CA, KRAS, ERBB2, and BRCA1/2. Putative pathogenic germline alterations were detected in 61 (3%) patients and included ATM (18%), BRCA1 (33%), BRCA2 (21%), and lower frequencies of CHEK2, FANCA, MLH1, MSH2, MSH6, and PALB2. Conclusions: While descriptive in nature, this analysis is the largest cohort of advanced endometrial cancer analyzed using a clinically available liquid biopsy assay and demonstrates the feasibility of somatic alteration detection. This report paves the way for using liquid biopsy as a potential tool for guiding targeted chemotherapeutic strategies. Citation Format: Leylah Drusbosky, Ginger Haynes, Brooke Grant, Pamela Sobernis, Stephanie Lheureux. Genomic landscape of somatic alterations identified in endometrial cancer using liquid biopsy [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr A012.

Expression levels of genes involved in lipogenesis and cholesterol synthesis in adenomyosis

Abstract Objectives Adenomyosis is a benign uterine disease that occurs with the invasion of the endometrial gland and stoma into the myometrium. The etiology and molecular pathology of adenomyosis are not yet fully understood. Tissue samples of patients diagnosed with adenomyosis and healthy endometrial tissues were investigated for the lipogenesis and cholesterol synthesis pathways. It was aimed to determine the difference between adenomyosis and healthy endometrial tissues in terms of lipid metabolism and to investigate the mechanism of adenomyosis in this context. Methods Formalin-fixed paraffin-embedded archival tissues were used in the current retrospective study. A total of 76 patient samples and 3 groups were used. Group 1: adenomyotic tissue (n=28), Group 2: eutopic endometrial tissue (n=30), and Control Group (n=18). In these groups, Sterol regulatory element binding protein 1 (SREBP1) molecule, fatty acid synthase (FASN), acetyl-CoA carboxylase (ACACA), ATP-citrate lyase (ACLY), HMG-CoA reductase (HMGCR), and HMG-CoA synthase (HMGCS) markers were evaluated by using RT-PCR method. Results Statistically significant differences (p<0.05) were found between the groups regarding expression levels of HMGCR, HMGCS, ACLY, ACACA, and SREBP1. HMGCR, HMGCS, ACLY, and SREBP1 gene expression levels between Group 1 and Group 2 and HMGCS, ACACA, ACLY, and SREBP1 gene expression levels between Group 1 and Control Group were determined as statistically different. A significant difference was detected only in HMGCR gene expression levels between Group 2 and the Control Group. Conclusions These results show that genes involved in lipid metabolism may be associated with the molecular pathogenesis of adenomyosis.

Expression of CD105 but not of E-cadherin is associated with malignancy recurrence and disease-free interval in laryngeal cancer in men.

In this study we analyzed CD105 (endoglin) and E-cadherin expression in laryngeal squamous cell carcinoma (LSCC) to evaluate their clinicopathologic significance. Expression of CD105 and E-cadherin was examined immunohistochemically using paraffin-embedded archival tissues of 72 (35 glottic and 37 supraglottic) previously untreated LSCC male patients. The mean value of the positively-stained microvessels for CD105 counted in four hot spots for each case was used as the final intratumoralmicrovessel density (MVD). A staining score of E-cadherin was calculated based on the percentage of cells stained (0-100%). MVD was significantly higher in patients with advanced TNM stage (P = 0.004) and younger than 65 (P = 0.008). Nodal metastases were more frequent in the cases with low E-cadherin expression (P = 0.000). Tumor recurrence was associated with advanced TNM stage (P = 0.035) and high MVD (P = 0.002). A high MVD was an independent predictor of malignancy recurrence (P = 0.021). The log-rank test showed a significant difference in the disease-free interval in patients stratified according to the MVD value (P = 0.016). Spearman's rank correlation test did not show a significant correlation between E-cadherin and CD105 expression. CD105-assessed MVD and expression of E-cadherin are promising prognostic factors for the outcome of patients with LSCC. Increased expression of CD105 could help predict patients with an increased risk of developing loco-regional recurrence after surgical treatment. Decreased E-cadherin expression is a potential predictor of lymph node metastases.

An Efficient and Easy- to- Use Method for Extraction of H. pylori DNA from Archival Formalin-Fixed and Paraffin-Embedded Gastric Tissues.

Formalin-fixed paraffin-embedded archived tissues are useful for the genetic analyses and assessment of some patients' disease history, including infectious diseases. However, there is no established protocol for extracting bacterial DNA from the archived specimens. In this study DNA was extracted from the archived H. pylori-positive gastric biopsies by some modifications applied to the previously published protocols. The quality of the extracted DNA was assessed by amplifying H. pylori-specific 16S rRNA gene. Fifty H. pylori-positive gastric biopsies obtained, fixed, and embedded in paraffin blocks during 2002-2008 were recruited. After paraffin removal, simultaneous proteinase K treatment and mechanical disruption using glass beads were used for the digestion of gastric tissues. DNA extraction was performed by adding one step of phenol treatment and two steps of incubation to the conventional phenol-chloroform method. The quantity and quality of the extracted DNA samples were assessed. Also, PCR was performed using primers specific for the H. pylori-specific 16S rRNA. The electrophoresis showed that intact DNAs were recovered from all biopsy samples. Amplification of the PCR products with the size of 519bp confirmed the presence of H. pylori-specific 16S rRNA gene in all the biopsies. A 100% success rate for the amplification of H. pylori-specific 16S rRNA gene was achieved from all the samples. In this regard, the designed modified method resulted in the effective removal of interfering contaminations and enhanced the quality of the extracted bacterial DNA from the archived tissues. These modifications may contribute to better extraction of the intact DNA from different bacteria present in human tissues.

Prognostic value of APOBEC3A in patients with cervical squamous cell carcinoma in a major urban center in China: a retrospective study.

APOBEC3A (A3A) has been implicated to have vital prognostic value in several common cancers. This study aimed to investigate the prognostic value of A3A expression in cervical squamous cell carcinoma (CESC). This retrospective study enrolled 59 patients with CESC or cervical squamous intraepithelial neoplasia from January 2014 to January 2017 in Changhai Hospital, Naval Medical University. Then, A3A histoscores (H-scores) using immunohistochemistry (IHC) were analyzed in formalin-fixed paraffin-embedded archival tissue blocks. Moreover, overall survival was analyzed by the Kaplan-Meier method. The H-score of A3A protein expression was relatively higher in CESC than in squamous intraepithelial neoplasia, and the relative expression level of normal cervical tissues was lower than that of cervical squamous intraepithelial neoplasia (P<0.001). Moreover, the H-score of poorly differentiated cases was 6, which was higher than that of moderately differentiated cases (H-score =3), while the H-score of well-differentiated cases was 2, which was lower than that of moderately differentiated cases. Moreover, patients in the A3A low expression group had higher overall survival rates by prognostic analysis (P=0.027). A3A protein expression was increased during CESC progression. Moreover, A3A expression was tightly related to poor prognosis in CESC. Thus, these results showed that A3A overexpression may provide a marker for poor prognosis in CESC.

Targeted next-generation sequencing for detection of PIK3CA mutations in archival tissues from patients with Klippel–Trenaunay syndrome in an Asian population

BackgroundKlippel–Trenaunay syndrome (KTS) is a rare slow-flow combined vascular malformation with limb hypertrophy. KTS is thought to lie on the PIK3CA-related overgrowth spectrum, but reports are limited. PIK3CA encodes p110α, a catalytic subunit of phosphatidylinositol 3-kinase (PI3K) that plays an essential role in the PI3K/AKT/mammalian target of rapamycin (mTOR) signaling pathway. We aimed to demonstrate the clinical utility of targeted next-generation sequencing (NGS) in identifying PIK3CA mosaicism in archival formalin-fixed paraffin-embedded (FFPE) tissues from patients with KTS.ResultsParticipants were 9 female and 5 male patients with KTS diagnosed as capillaro-venous malformation (CVM) or capillaro-lymphatico-venous malformation (CLVM). Median age at resection was 14 years (range, 5–57 years). Median archival period before DNA extraction from FFPE tissues was 5.4 years (range, 3–7 years). NGS-based sequencing of PIK3CA achieved an amplicon mean coverage of 119,000x. PIK3CA missense mutations were found in 12 of 14 patients (85.7%; 6/8 CVM and 6/6 CLVM), with 8 patients showing the hotspot variants E542K, E545K, H1047R, and H1047L. The non-hotspot PIK3CA variants C420R, Q546K, and Q546R were identified in 4 patients. Overall, the mean variant allele frequency for identified PIK3CA variants was 6.9% (range, 1.6–17.4%). All patients with geographic capillary malformation, histopathological lymphatic malformation or macrodactyly of the foot had PIK3CA variants. No genotype–phenotype association between hotspot and non-hotspot PIK3CA variants was found. Histologically, the vessels and adipose tissues of the lesions showed phosphorylation of the proteins in the PI3K/AKT/mTOR signaling pathway, including p-AKT, p-mTOR, and p-4EBP1.ConclusionsThe PI3K/AKT/mTOR pathway in mesenchymal tissues was activated in patients with KTS. Amplicon-based targeted NGS could identify low-level mosaicism from low-input DNA extracted from FFPE tissues, potentially providing a diagnostic option for personalized medicine with inhibitors of the PI3K/AKT/mTOR signaling pathway.

Role of acetyl-CoA acetyltransferase 1 expression in the molecular mechanism of adenomyosis.

Adenomyosis is a benign uterine illness characterized by endometrial gland and stromal invasion into the myometrium. Acetyl-CoA acetyltransferase 1 (ACAT1) is an enzyme localized in mitochondria that is involved in ketogenesis and ketolysis processes by reversibly catalyzing the formation of acetoacetyl-CoA from two acetyl-CoA molecules. The current study investigated the expression of the ACAT1 molecule in tissue samples of patients diagnosed with adenomyosis and healthy endometrial tissues. It is aimed to determine the differences in ACAT1 gene expression and in this way to discover the first information about the role of ACAT1 in the development and molecular mechanism of adenomyosis. In the current retrospective study, formalin-fixed paraffin-embedded archival tissues were employed. A total of 76 patient samples were included in the study. Of these samples, 28 are adenomyotic tissue (Group I), 30 are eutopic endometrial tissue (Group II), and 18 are the Control Group. In these groups, the expression levels of the ACAT1 gene were determined by the reverse transcription-polymerase chain reaction method. When the expression results of the ACAT1 gene were evaluated, statistically significant differences were found between the groups (p<0.05). There was a difference between Group I-Group II and Group I-Control Group regarding the ACAT1 gene. No statistically significant change was observed between Group II and Control Group. It is a remarkable finding that the expression of ACAT1 in adenomyosis tissue is decreased compared with both eutopic endometrium and control groups tissues. The results suggest that ACAT1 may be associated with the molecular pathogenesis of adenomyosis.

Detection of human papillomavirus in archival bladder and ovarian cancer samples

ProblemHuman papillomavirus (HPV) is a well-established causative agent of cervical cancer. However, its role in the development of bladder and ovarian cancer is under debate. Current study evaluated the role of high-risk HPV genotypes 16 and 18 in triggering bladder and ovarian carcinomas. MethodsA total of 80 formalin-fixed and paraffin-embedded (FFPE) archival tissue specimens of both bladder (n = 40) and ovarian carcinoma (n = 40) were tested for the presence of HPV integrants and HPV 16 genotype and HPV 18 genotype. Results and conclusionThe PCR results showed that 5% (2/40) of bladder cancer samples were HPV positive with equal prevalence of HPV 16 in both sexes (1:1) while 22.5% (9/40) of ovarian cancer samples came positive for HPV with only one positive for HPV 16. These results indicate association of HPV with bladder and ovarian carcinomas, HPV 16 genotype being more prevalent than 18. The study emphasizes that HPV is a serious issue in low- and middle-income countries where existing methods of prevention are still inadequate or costly. Timely HPV screening can help lower the burden of HPV-induced carcinomas. Furthermore, systematic HPV vaccination program among the young population is paramount.

Utility of Banff Human Organ Transplant Gene Panel in Human Kidney Transplant Biopsies.

Microarray transcript analysis of human renal transplantation biopsies has successfully identified the many patterns of graft rejection. To evaluate an alternative, this report tests whether gene expression from the Banff Human Organ Transplant (B-HOT) probe set panel, derived from validated microarrays, can identify the relevant allograft diagnoses directly from archival human renal transplant formalin-fixed paraffin-embedded biopsies. To test this hypothesis, principal components (PCs) of gene expressions were used to identify allograft diagnoses, to classify diagnoses, and to determine whether the PC data were rich enough to identify diagnostic subtypes by clustering, which are all needed if the B-HOT panel can substitute for microarrays. RNA was isolated from routine, archival formalin-fixed paraffin-embedded tissue renal biopsy cores with both rejection and nonrejection diagnoses. The B-HOT panel expression of 770 genes was analyzed by PCs, which were then tested to determine their ability to identify diagnoses. PCs of microarray gene sets identified the Banff categories of renal allograft diagnoses, modeled well the aggregate diagnoses, showing a similar correspondence with the pathologic diagnoses as microarrays. Clustering of the PCs identified diagnostic subtypes including non-chronic antibody-mediated rejection with high endothelial expression. PCs of cell types and pathways identified new mechanistic patterns including differential expression of B and plasma cells. Using PCs of gene expression from the B-Hot panel confirms the utility of the B-HOT panel to identify allograft diagnoses and is similar to microarrays. The B-HOT panel will accelerate and expand transcript analysis and will be useful for longitudinal and outcome studies.

Expansion-enhanced super-resolution radial fluctuations enable nanoscale molecular profiling of pathology specimens

Expansion microscopy physically enlarges biological specimens to achieve nanoscale resolution using diffraction-limited microscopy systems1. However, optimal performance is usually reached using laser-based systems (for example, confocal microscopy), restricting its broad applicability in clinical pathology, as most centres have access only to light-emitting diode (LED)-based widefield systems. As a possible alternative, a computational method for image resolution enhancement, namely, super-resolution radial fluctuations (SRRF)2,3, has recently been developed. However, this method has not been explored in pathology specimens to date, because on its own, it does not achieve sufficient resolution for routine clinical use. Here, we report expansion-enhanced super-resolution radial fluctuations (ExSRRF), a simple, robust, scalable and accessible workflow that provides a resolution of up to 25 nm using LED-based widefield microscopy. ExSRRF enables molecular profiling of subcellular structures from archival formalin-fixed paraffin-embedded tissues in complex clinical and experimental specimens, including ischaemic, degenerative, neoplastic, genetic and immune-mediated disorders. Furthermore, as examples of its potential application to experimental and clinical pathology, we show that ExSRRF can be used to identify and quantify classical features of endoplasmic reticulum stress in the murine ischaemic kidney and diagnostic ultrastructural features in human kidney biopsies.

A deep learning-based histopathology classifier for Focal Cortical Dysplasia

A light microscopy-based histopathology diagnosis of human brain specimens obtained from epilepsy surgery remains the gold standard to confirm the underlying cause of a patient’s focal epilepsy and further inform postsurgical patient management. The differential diagnosis of neocortical specimens in the realm of epilepsy surgery remains, however, challenging. Herein, we developed an open access, deep learning-based classifier to histopathologically assess whole slide microscopy images (WSI) and to automatically recognize various subtypes of Focal Cortical Dysplasia (FCD), according to the ILAE consensus classification update of 2022. We trained a convolutional neuronal network (CNN) with fully digitalized WSI of hematoxylin–eosin stainings obtained from 125 patients covering the spectrum of mild malformation of cortical development (mMCD), mMCD with oligodendroglial hyperplasia in epilepsy (MOGHE), FCD ILAE Type 1a, 2a and 2b using 414 formalin-fixed and paraffin-embedded archival tissue blocks. An additional series of 198 postmortem tissue blocks from 59 patients without neurological disorders served as control to train the CNN for homotypic frontal, temporal and occipital areas and heterotypic Brodmann areas 4 and 17, entorhinal cortex and dentate gyrus. Special stains and immunohistochemical reactions were used to comprehensively annotate the region of interest. We then programmed a novel tile extraction pipeline and graphical dashboard to visualize all areas on the WSI recognized by the CNN. Our deep learning-based classifier is able to compute 1000 × 1000 µm large tiles and recognizes 25 anatomical regions and FCD categories with an accuracy of 98.8% (F1 score = 0.82). Microscopic review of regions predicted by the network confirmed these results. This deep learning-based classifier will be made available as online web application to support the differential histopathology diagnosis in neocortical human brain specimens obtained from epilepsy surgery. It will also serve as blueprint to build a digital histopathology slide suite addressing all major brain diseases encountered in patients with surgically amenable focal epilepsy.

Abstract P2-23-06: Estrogen receptor-negative progesterone receptor-positive breast cancer is a molecularly distinct group characterized by the down-regulation of genes controlled by ESR1 and SUZ12

Abstract Background: Single hormone receptor-positive breast cancers (BCs) display two distinct phenotypes: ER+/PgR– and ER–/PgR+ further stratified by their HER2 status. Their molecular features are not well defined. Our study aimed to identify differentially expressed genes in ER–/PgR+ BCs compared to other phenotypes. Methods: Our cohort comprised 15 ER+/PgR–/HER2–, 11 ER+/PgR–/HER2+, 17 ER–/PgR+/HER2–, 9 ER–/PgR+/HER2+, 5 ER+/PgR+/HER2–, and 5 ER–/PgR–/HER2– invasive BCs collected from 9 Polish and 2 Hungarian centers. The cases were selected from a larger cohort after being matched according to grade, HER2 status, lymph nodes, and distant metastasis status. ER–/PgR+ group was thoroughly validated via immunohistochemistry [Kunc et al. 2022]. The expression of 776 genes was profiled with nCounter® Breast Cancer 360™ Panel in archival formalin-fixed paraffin-embedded tissue samples. A gene was defined as differentially expressed between groups if it met the following criteria: the log2 fold-change in the expression of &amp;gt;1 or ←1 and the p-value &amp;lt; 0.05 (Mann-Whitney U test). Additionally, weighted correlation network analysis (WGCNA) was performed to identify modules of at least 15 highly correlated genes. Subsequently, the association between gene modules and PgR status in ER– subgroup was performed. Identified mRNAs were subjected to functional annotation analysis to determine the top enriched pathways. Results: ER–/PgR+ BCs were characterized by significantly lower expression of ESR1 compared to double-positive (p&amp;lt; 0.001) and ER+/PgR– tumors (p&amp;lt; 0.001), whereas PGR expression was higher compared to ER+/PgR– (p&amp;lt; 0.001), and no significantly different from ER+/PgR+ BCs (p=0.14). Triple-negative BCs had no detectable PGR mRNA. Four genes (MIA, ID4, FOXC1, CDC20) were consistently up-regulated and six genes (FAM214A, MLPH, NFKBIZ, FOS, SLC44A4, SPDEF) were down-regulated in ER–/PgR+/HER2– tumors compared to other HER2– subgroups. Compared to ER+/HER2– BCs, ER–/PgR+/HER2– cases showed up-regulation of 15 genes associated with response to vitamin D, response to ketone, and regulation of transcription, and downregulation of 33 genes involved in response to estrogen, negative regulation of cell population proliferation, regulation of epithelial-mesenchymal transition, and controlled by ESR1 and SUZ12. In WGCNA analysis of the ER– subgroup, PgR status was negatively correlated with 4 gene modules and positively correlated with 1 gene module. In line with differential gene expression analysis, genes negatively correlated with ER–/PgR+ status are regulated by ESR1 and SUZ12 and are involved in the regulation of cell proliferation, extracellular matrix organization, and NOTCH1 signaling. Genes positively correlated with ER–/PgR+ status are regulated by E2F4, FOXM1, SIN3A, NFYB, E2F1, FOS, IRF1, ZMIZ1, and UBTF and participate in cell cycle, regulation of mitosis, and microtubule cytoskeleton regulation. Conclusions: ER–/PgR+ BCs display a distinct mRNA expression profile characterized by the down-regulation of genes controlled by ESR1 and SUZ12. The latter as a part of Polycomb Repressive Complex 2 contributes to chromatin silencing, and some previous studies suggested its role in the regulation of steroid hormone receptors expression. Additionally, ER–/PgR+ BCs overexpress FOXC1 which is linked to more aggressive, high-grade, and treatment-resistant breast cancers. Our data indicate the need to unravel the mechanism of epigenetic regulation of PGR expression, especially its methylation status, in ER–/PgR+ breast cancer. Citation Format: Michał Kunc, Marta Popęda, Michał Bieńkowski, Marcin Braun, Aleksandra Łacko, Barbara Radecka, Joanna Pikiel, Maria Litwiniuk, Katarzyna Pogoda, Magdalena Niemira, Anna Szałkowska, Ewa Iżycka-Świeszewska, Gabor Cserni, Wojciech Biernat, Elżbieta Senkus. Estrogen receptor-negative progesterone receptor-positive breast cancer is a molecularly distinct group characterized by the down-regulation of genes controlled by ESR1 and SUZ12 [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-23-06.

The Pattern of Expression of Human Placental Lactogen Across Normal, Lactational, and Malignant Mammary Epithelium.

The immunoexpression of human placental lactogen (hPL) in mammary epithelium is not well studied in the literature. Our overall objective was to delineate the distribution pattern of hPL across mammary epithelia of varying levels of differentiation. This is the first research to study the level of expression of hPL in human lactational change epithelium. Immunohistochemistry (IHC) for hPL was performed on archival formalin-fixed paraffin-embedded tissue blocks of 97 cases. These consisted of 53 invasive ductal carcinomas, 21 lactational change cases, and 23 cases of normal mammary tissue. The results of this study show underexpression of hPL in malignant epithelium compared to normal and lactational groups individually and combined as a non-malignant group. However, a higher expression of hPL was noted in mammary carcinoma of axillary lymph node (ALN)-positive patients compared to ALN-negative cases. There was no statistically significant difference between hPL expression and tumor grade, estrogen receptors (ER), progesterone receptors (PR), or human epidermal growth factor receptor 2 (HER2) status. The comparison of the immunoexpression of hPL in malignant epithelium versus lactational change epithelium may provide the basis for future studies on the possible role of hPL in the protective mechanism of lactation tissue from carcinogenesis. Our results could be explained by the proposed mechanism in the literature, which is that breast cancer cells have a potential inhibitory effect on the translation of human chorionic somatotropin hormone (CSH) mRNA into hPL protein. Our results support the literature findings of a poorer prognostic outcome for breast malignancies when hPL is expressed but require further studies using a more comprehensive range of clinical parameters.

A simple approach for detecting HLA-A*02 alleles in archival formalin-fixed paraffin-embedded tissue samples and an application example for studying cancer immunoediting.

The HLA system represents a central component of the antigen presentation machinery. As every patient possesses a defined set of HLA molecules, only certain antigens can be presented on the cell surface. Thus, studying HLA type-dependent antigen presentation can improve the understanding of variation in susceptibility to various diseases, including infectious diseases and cancer. In archival formalin-fixed paraffin-embedded (FFPE) tissue, the HLA type is difficult to analyze because of fragmentation of DNA, hindering the application of commonly used assays that rely on long DNA stretches. Addressing these difficulties, we present a refined approach for characterizing presence or absence of HLA-A*02, the most common HLA-A allele in the Caucasian population, in archival samples. We validated our genotyping strategy in a cohort of 90 samples with HLA status obtained by an NGS-based method. 90% (n=81) of the samples could be analyzed with the approach. For all of them, the presence or absence of HLA-A*02 alleles was correctly determined with the method, demonstrating 100% sensitivity and specificity (95% CI: 91.40%-100% and 91.19%-100%). Furthermore, we provide an example of application in an independent cohort of 73 FFPE microsatellite-unstable (MSI) colorectal cancer samples. As MSI cancer cells encompass a high number of mutations in coding microsatellites, leading to the generation of highly immunogenic frameshift peptide antigens, they are ideally suited for studying relations between the mutational landscape of tumor cells and interindividual differences in the immune system, including the HLA genotype. Overall, our method can help to promote studying HLA type-dependency during the pathogenesis of a wide range of diseases, making archival and historic tissue samples accessible for identifying HLA-A*02 alleles.

Quality Assessment of Proteins and RNA Following Storage in Archival Formalin-Fixed Paraffin-Embedded Human Breast Cancer Tissue Microarray Sections.

Although the immunogenicity of formalin-fixed paraffin-embedded tissue sections can decrease during storage and transport, the exact mechanism of antigenic loss and how to prevent it are not clear. Herein, we investigated changes in the expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), E-cadherin, and Ki-67 in human breast tissue microarray (TMA) tissue sections stored for up to 3 months in dry and wet conditions. The positive rates of ER and PR expression were minimally changed after 3 months of storage, but the Allred scores of ER and PR stored in humid conditions decreased remarkably in comparison to fresh-cut tissue. The HER-2 antigenicity and RNA integrity of breast TMA sections stored in dry conditions diminished gradually with storage time, whereas the immunoreactivity and RNA quality of HER-2 in humid conditions decreased sharply as storage length increased. The area and intensity of E-cadherin staining in tissue sections stored in dry conditions did not change significantly and were minimally changed after 3 months, respectively. In contrast, the area and intensity of E-cadherin staining in tissue sections stored in humid conditions decreased significantly as storage length increased. Finally, the Ki-67 labeling index of tissue sections stored for 3 months in dry (9% decrease) and wet (31.9% decrease) conditions was decreased in comparison to fresh sections. In conclusion, these results indicate that water is a crucial factor for protein and RNA degradation in stored tissue sections, and detailed guidelines are required in the clinic.

Gadolinium and Bio-Metal Association: A Concentration Dependency Tested in a Renal Allograft and Investigated by Micro-Synchrotron XRF.

Aims: This study aimed to investigate gadolinium (Gd) and bio-metals in a renal allograft of a patient who was shortly after transplantation repeatedly exposed to a Gd-based contrast agent (GBCA), with the purpose of determining whether Gd can be proven and spatially and quantitatively imaged. Further elemental associations between Gd and bio-metals were also investigated. Materials and Methods: Archival paraffin-embedded kidney tissue (eight weeks after transplantation) was investigated by microscopic synchrotron X-ray fluorescence (µSRXRF) at the DORIS III storage ring, beamline L, at HASYLAB/DESY (Hamburg, Germany). For the quantification of elements, X-ray spectra were peak-fitted, and the net peak intensities were normalized to the intensity of the incoming monochromatic beam intensity. Concentrations were calculated by fundamental parameter-based program quant and external standardization. Results: Analysis of about 15,000 µSRXRF spectra (comprising allograft tissue of four cm2) Gd distribution could be quantitatively demonstrated in a near histological resolution. Mean Gd resulted in 24 ± 55 ppm with a maximum of 2363 ppm. The standard deviation of ±55 ppm characterized the huge differences in Gd and not in detection accuracy. Gd was heterogeneously but not randomly distributed and was mostly found in areas with interstitial fibrosis and tubular atrophy. Concentrations of all other investigated elements in the allograft resembled those found in normal kidney tissue. No correlations between Gd and bio-metals such as calcium, strontium or zinc below ~40 ppm Gd existed. In areas with extremely high Gd, Gd was associated with iron and zinc. Conclusions: We could show that no dose-dependent association between Gd and bio-metals exists—least in renal tissue—at Gd concentrations below ~40 ppm Gd. This was proven compared with a GBCA-exposed end-stage renal failure in which the mean Gd was ten-fold higher. Our results could shed additional light on Gd metabolism.

Abstract PO016: Spatial transcriptomic profiling to characterize the tumor-vascular interactome of hepatocellular carcinoma

Abstract BACKGROUND: The hepatocellular carcinoma (HCC) tumor microenvironment (TME) is composed of a complex ecosystem dominated by cancer cells and the endothelial cells that line tumor blood vessels. Although many genomic drivers have been identified and at least three transcriptional subsets have been proposed, these efforts have not yet led to novel therapies or otherwise significantly impacted management options. Single cell transcriptional profiling has generated deep insights into the multiple heterogeneous cell types within tissues, but the spatial context of these data is lost during single cell processing. Spatial transcriptomic approaches aim to bridge the gap between dissociative single cell technologies and in situ histopathological characterization.METHODS: To gain insight into potential in situ cancer-endothelial crosstalk interactions, we utilized the Nanostring GeoMx spatial transcriptomics platform with the Cancer Transcriptome Atlas ~1800 gene oligonucleotide probe panel to generate tumor (Arginase+) and blood vessel (CD31+) areas of interest (AOI) gene expression profiles from formalin-fixed, paraffin-embedded archival tissue specimens obtained from HCC resection specimens. Oligonucleotides released from each microscopic AOI were then captured, processed by DNA sequencing, and analyzed using custom computational pipelines.RESULTS: Using the 119 ROI containing data from both tumor and vessels that passed quality control filters, we performed unbiased hierarchical clustering of both the tumor and vessel areas of interest (AOI) within each ROI using the most highly variable genes for each AOI set and identified at least 3 clusters within each AOI type (tumor and vessel). Based on gene ontology analysis of the tumor AOIs, the two subsets were distinguished by unique immune and inflammatory-related genes. Analogous ontology-based characterization of the vessel AOIs demonstrated two groups: 1) an interferon-activated, inflamed progenitor, and immune checkpoint-associated cluster; and 2) a TGF-beta and oxidative stress-associated cluster. Notably, both vessel clusters also contained significant numbers of leukocyte genes, concordant with the intimate relationship of the vasculature and immune system. Canonical correlation analysis (CCA) utilizing both the most variable genes within each AOI set showed significant correlated gene sets within tumor AOIs and vessel AOIs, implying biologically significant interactions in multiple signaling pathways.CONCLUSIONS: Spatial transcriptomic profiling enables an understanding of cell-cell interactions in situ that can uncover biologically distinct tumor and blood vessel niches within the HCC microenvironment. Subsequent efforts will be focused on functionally assessing the spatially linked cancer and endothelial cell phenotypes with the goals of developing improved prognostic and predictive biomarkers and generating novel drug targets. Citation Format: Joseph W Franses, Michael J Raabe, Amaya Pankaj, Bidish Patel, Avril Coley, Irun Bhan, Martin Aryee, David T Ting. Spatial transcriptomic profiling to characterize the tumor-vascular interactome of hepatocellular carcinoma [abstract]. In: Proceedings of the AACR Special Conference: Advances in the Pathogenesis and Molecular Therapies of Liver Cancer; 2022 May 5-8; Boston, MA. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(17_Suppl):Abstract nr PO016.

Possible role of high risk HPV infection and RPD3 overexpression in Iraqi patients with colorectal cancer

Aims: the aim of this study is RPD3 expression in clinicopathological characteristics in CRC patients and to study the existence of a relationship between CRC and HPV in samples of Iraqi patients. Material and methods: 30 samples of formalin-fixed, paraffin-embedded archival tissues from CRC patients were obtained, together with 10 samples of normal tissue (free cancer), for immunohistochemical analysis of RPD3 and HPV expression. Results: Immunohistochemical (IHC) staining revealed only four cases (15%) with HPV infections while PRD3 was expressed in 19 CRC samples (63.3 percent). The PRD3 expression ratio. It was found in only four (15%) of the CRC samples. At ≤ P 0. 05, there is no significant difference. Conclusion: The results of this study support RPD3 as a supplementary marker to identified histologic screening components; it could possibly be used for the prognosis and targeted therapy. In addition, we discovered a relation with both HPV infection and CRC as oncovirus and tumorigenic factor.