Adrenocortical Carcinoma Samples Research Articles

12673 Epigenetic Subtyping Of Adrenocortical Carcinoma In Archival Material And Implications For Disease Evolution

Abstract Disclosure: D. Mohan: None. A.M. Lerario: None. M.Q. Almeida: None. B.B. Mendonca: None. A. Latronico: None. M.C. Fragoso: None. G.D. Hammer: None. Adrenocortical carcinoma (ACC) is a rare cancer of the adrenal cortex, to date cured only by surgery. Pangenomic studies demonstrate that ACC is comprised of three molecular subtypes with distinct clinical outcomes. CIMP-high ACC, the most aggressive molecular subtype, is defined by abnormal epigenetic patterning including inappropriate DNA methylation. CIMP-high status of the primary tumor accounts for 30% of all ACC, but 70% of metastatic relapses. It remains unclear if ACC transitions molecular subtypes, e.g. acquires CIMP-high status, during metastatic dissemination. We and others have demonstrated that G0S2 methylation is a sensitive and specific single-locus biomarker capturing CIMP-high ACC. However, our prior studies utilized frozen tissues, often only available at specialized centers. Here, we measured G0S2 methylation in an expanded cohort of n=73 formalin-fixed paraffin-embedded (FFPE) primary, recurrent, and metastatic ACC samples. We show that G0S2 methylation status is stable in archival FFPE material, concordant with measurement in frozen specimen (Pearson r=0.94, n=28). We identify that, within individual patients, the G0S2 methylation status of the primary is often preserved in the metastasis or recurrence. These data suggest that ACC subtype switching is not required for metastatic evolution. In cases of advanced ACC with accessible lesions amenable to biopsy, epigenetic subtypes can be diagnosed prior to oncologic resection, enabling subtype-specific therapeutic interventions in the neoadjuvant setting. Presentation: 6/1/2024

12540 Epigenetic Subtyping Of Adrenocortical Carcinoma In Archival Material And Implications For Disease Evolution

Abstract Disclosure: D. Mohan: None. A.M. Lerario: None. M.Q. Almeida: None. B.B. Mendonca: None. A. Latronico: None. M.C. Fragoso: None. G.D. Hammer: None. Adrenocortical carcinoma (ACC) is a rare cancer of the adrenal cortex, to date cured only by surgery. Pangenomic studies demonstrate that ACC is comprised of three molecular subtypes with distinct clinical outcomes. CIMP-high ACC, the most aggressive molecular subtype, is defined by abnormal epigenetic patterning including inappropriate DNA methylation. CIMP-high status of the primary tumor accounts for 30% of all ACC, but 70% of metastatic relapses. It remains unclear if ACC transitions molecular subtypes, e.g. acquires CIMP-high status, during metastatic dissemination. We and others have demonstrated that G0S2 methylation is a sensitive and specific single-locus biomarker capturing CIMP-high ACC. However, our prior studies utilized frozen tissues, often only available at specialized centers. Here, we measured G0S2 methylation in an expanded cohort of n=73 formalin-fixed paraffin-embedded (FFPE) primary, recurrent, and metastatic ACC samples. We show that G0S2 methylation status is stable in archival FFPE material, concordant with measurement in frozen specimen (Pearson r=0.94, n=28). We identify that, within individual patients, the G0S2 methylation status of the primary is often preserved in the metastasis or recurrence. These data suggest that ACC subtype switching is not required for metastatic evolution. In cases of advanced ACC with accessible lesions amenable to biopsy, epigenetic subtypes can be diagnosed prior to oncologic resection, enabling subtype-specific therapeutic interventions in the neoadjuvant setting. Presentation: 6/1/2024

Cellular landscape of adrenocortical carcinoma at single-nuclei resolution

Adrenocortical carcinoma (ACC) is a rare yet devastating tumour of the adrenal gland with a molecular pathology that remains incompletely understood. To gain novel insights into the cellular landscape of ACC, we generated single-nuclei RNA sequencing (snRNA-seq) data sets from twelve ACC tumour samples and analysed these alongside snRNA-seq data sets from normal adrenal glands (NAGs). We find the ACC tumour microenvironment to be relatively devoid of immune cells compared to NAG tissues, consistent with known high tumour purity values for ACC as an immunologically “cold” tumour. Our analysis identifies three separate groups of ACC samples that are characterised by different relative compositions of adrenocortical cell types. These include cell populations that are specifically enriched in the most clinically aggressive and hormonally active tumours, displaying hallmarks of reorganised cell mechanobiology and dysregulated steroidogenesis, respectively. We also identified and validated a population of mitotically active adrenocortical cells that strongly overexpress genes POLQ, DIAPH3 and EZH2 to support tumour expansion alongside an LGR4+ progenitor-like or cell-of-origin candidate for adrenocortical carcinogenesis. Trajectory inference suggests the fate adopted by malignant adrenocortical cells upon differentiation is associated with the copy number or allelic balance state of the imprinted DLK1/MEG3 genomic locus, which we verified by assessing bulk tumour DNA methylation status. In conclusion, our results therefore provide new insights into the clinical and cellular heterogeneity of ACC, revealing how genetic perturbations to healthy adrenocortical renewal and zonation provide a molecular basis for disease pathogenesis.

Expression and Prognostic Relevance of PD-1, PD-L1, and CTLA-4 Immune Checkpoints in Adrenocortical Carcinoma.

Adrenocortical carcinoma (ACC) is a rare endocrine malignancy with poor prognosis in advanced stages. While therapies targeting the checkpoint molecules programmed cell death 1 (PD-1), its ligand PD-L1, and the cytotoxic T lymphocyte-associated protein 4 (CTLA-4) have revolutionized treatment in many cancers, the results in ACCs were heterogeneous. Their expression in ACC has not been systematically studied and might explain the variable response to immune checkpoint inhibitors. The expression of PD-1, PD-L1 and CTLA-4 was examined in 162 tumor samples from 122 patients with ACC by immunohistochemistry (threshold of >1%) and correlated with tumoral T lymphocyte infiltration and clinical endpoints. Finally, univariate and multivariate analyses of progression-free and overall survival were performed. PD-1 and PD-L1 were expressed in 26.5% and 24.7% of samples, respectively, with low expression in most tumor samples (median positive cells: 2.1% and 21.7%). In contrast, CTLA-4 expression was observed in 52.5% of ACC with a median of 38.4% positive cells. Positive PD-1 expression was associated with longer progression-free survival (HR 0.50, 95% CI 0.25-0.98, P = .04) even after considering prognostic factors. In contrast, PD-L1 and CTLA-4 did not correlate with clinical outcome. Additionally, PD-1 and PD-L1 expression correlated significantly with the amount of CD3+, CD4+, FoxP3+, and CD8+ T cells. The heterogeneous expression of PD1, PD-L1, and CTLA-4 in this large series of well-annotated ACC samples might explain the heterogeneous results of the immunotherapies in advanced ACC. In addition, PD-1 expression is a strong prognostic biomarker that can easily be applied in routine clinical care and histopathological assessment.

Unveiling the Significance of NCAP Family Genes in Adrenocortical Carcinoma and Adenoma Pathogenesis: A Molecular Bioinformatics Exploration.

Adrenocortical carcinoma (ACC), a rare and aggressive adrenal cortex cancer, poses significant challenges due to high mortality, poor prognosis, and early post-surgery recurrence. Variability in survival across ACC stages emphasizes the need to uncover its molecular underpinnings. Adrenocortical adenoma, a benign tumor, adds to diagnostic challenges, highlighting the necessity for molecular insights. The Non-SMC Associated Condensin Complex (NCAP) gene family, recognized for roles in chromosomal structure and cell cycle control. This study focuses on evaluating NCAP gene functions and importance in ACC through gene expression profiling to identify diagnostic and therapeutic targets. Microarray datasets from ACC patients, obtained from the Gene Expression Omnibus database, were normalized to eliminate batch effects. Differential expression analysis of NCAP family genes, facilitated by the GEPIA2 database, included survival and pathological stage evaluations. A Protein-Protein Interaction network was constructed using GeneMANIA, and additional insights were gained through Gene Ontology enrichment analysis, correlation analysis, and ROC curve analysis. ACC samples exhibited elevated levels of NCAPG, NCAPG2, and NCAPH compared to normal and adenoma samples. Increased expression of these genes correlated with poor overall survival, particularly in advanced disease stages. The Protein-Protein Interaction network highlighted interactions with related proteins, and Gene Ontology enrichment analysis demonstrated their involvement in chromosomal structure and control. Differentially expressed NCAP genes showed positive associations, and ROC curve analysis indicated their high discriminatory power in identifying ACC from adenoma and normal samples. The study emphasizes the potential importance of NCAPG, NCAPG2, and NCAPH in ACC, suggesting roles in tumor aggressiveness and diagnostic relevance. These genes could serve as therapeutic targets and markers for ACC, but further exploration into their molecular activities and validation studies is imperative to fully harness their diagnostic and therapeutic potential, advancing precision medicine approaches against this rare but lethal malignancy.

PLK1 inhibitors as a new targeted treatment for adrenocortical carcinoma.

Adrenocortical carcinoma (ACC) is an aggressive malignancy with limited treatment options. Polo-like kinase 1 (PLK1) is a promising drug target; PLK1 inhibitors (PLK1i) have been investigated in solid cancers and are more effective in TP53-mutated cases. We evaluated PLK1 expression in ACC samples and the efficacy of two PLK1i in ACC cell lines with different genetic backgrounds. PLK1 protein expression was investigated by immunohistochemistry in tissue samples and correlated with clinical data. The efficacy of rigosertib (RGS), targeting RAS/PI3K, CDKs and PLKs, and poloxin (Pol), specifically targeting the PLK1 polo-box domain, was tested in TP53-mutated NCI-H295R, MUC-1, and CU-ACC2 cells and in TP53 wild-type CU-ACC1. Effects on proliferation, apoptosis, and viability were determined. PLK1 immunostaining was stronger in TP53-mutated ACC samples vs wild-type (P = 0.0017). High PLK1 expression together with TP53 mutations correlated with shorter progression-free survival (P= 0.041). NCI-H295R showed a time- and dose-dependent reduction in proliferation with both PLK1i (P< 0.05at 100 nM RGS and 30 µM Pol). In MUC-1, a less pronounced decrease was observed (P< 0.05at 1000 nM RGS and 100 µM Pol). 100 nM RGS increased apoptosis in NCI-H295R (P< 0.001), with no effect on MUC-1. CU-ACC2 apoptosis was induced only at high concentrations (P < 0.05 at 3000 nM RGS and 100 µM Pol), while proliferation decreased at 1000 nM RGS and 30 µM Pol. CU-ACC1 proliferation reduced, and apoptosis increased, only at 100 µM Pol. TP53-mutated ACC cell lines demonstrated better response to PLK1i than wild-type CU-ACC1. These data suggest PLK1i may be a promising targeted treatment of a subset of ACC patients, pre-selected according to tumour genetic signature.

B-288 The Beginning of the End: AGO2 Protein Identified and Validated as a Novel Biomarker for Multi-cancer Diagnosis Through Bioinformatics Analysis and Immunoassay

Abstract Background Despite significant progress in cancer research, the complexity and heterogeneity of the disease still pose major challenges to accurate diagnosis and effective treatment. Recent advancements in biomedical technologies have led to the identification of reliable potential cancer biomarkers. In this sense, the link between microRNAs (master regulators of gene expression) &amp; cancer is well-established, but there has been little research on the microRNA machinery itself. We aim to investigate whether changes in the expression of genes &amp; proteins involved in the miRNA pathway can be used for multi-cancer detection. Method We analyzed RNASeq data from the TCGA (The Cancer Genome Atlas) and GTEX (The Genotype-Tissue Expression) projects to compare the expression of core components in the miRNA biogenesis pathway, including AGO2, DGCR8, XPO5, RAN, DROSHA, DICER, and TARBP2, in normal and tumorous samples across 22 tissue types, including adrenocortical, AML, breast, colon, lung, liver, esophageal, prostate, pancreas, stomach, thyroid, rectum, uterus and ovarian cancer. We accessed and analyzed the TCGA and GTEx datasets using the UCSC Xena Browser. We also measured the protein concentrations of all these microRNA regulators in 15 normal adrenal cortex, 15 benign adenoma, and 15 adrenocortical cancer tissue homogenate samples using commercial ELISA kits. The Human Protein Argonaute-2 (EIF2C2) ELISA Kit-AE45910HU (Abebio-Co.Ltd) was used for the assay procedure, which was performed according to the manufacturer’s instructions. Statistical analysis was performed using GraphPad Prism, Version 9 (GraphPad Software, CA, USA). A P-value of less than 0.05 was considered statistically significant. Results Our RNASeq analysis results showed that among all microRNA regulators, AGO2 is most highly significantly over-expressed in samples derived from cancer patients compared with normal controls (P &amp;lt; 0.05). In addition, we analysed the protein expression of AGO2 in adrenocortical tissue homogenate samples. Our results demonstrated that the protein expression of AGO2 in adrenocortical carcinoma samples was significantly higher than in normal adrenal cortex and benign adrenocortical tumour samples (P &amp;lt; 0.001). Conclusion Our study highlights the potential role of Argonaute 2 protein (AGO2) in cancer development and progression. AGO2 is a key component of the RNA-induced silencing complex, which regulates gene expression. Our findings show that AGO2 is overexpressed in cancer samples compared to normal controls across a range of cancer types. This suggest that AGO2 could be used as a promising marker for the development of more accurate and specific methods for cancer diagnosis, in combination with other markers. Furthermore, the potential for using AGO2 protein expression in serum samples as a non-invasive diagnostic tool is a promising area for future research. This could be achieved through automated immunoassay, making it a practical diagnostic tool for use in routine clinical practice.

Performance of DNA-based biomarkers for classification of adrenocortical carcinoma: a prognostic study.

Adrenocortical carcinoma (ACC) is a rare aggressive malignancy with heterogeneous clinical outcomes. Recent studies proposed a combination of clinical/histopathological parameters (S-GRAS score) or molecular biomarkers (BMs) to improve prognostication. We performed a comparative analysis of DNA-based BMs by evaluating their added prognostic value to the S-GRAS score. A total of 194 formalin-fixed, paraffin-embedded (FFPE) ACC samples were analysed, including a retrospective training cohort (n = 107) and a prospective validation cohort (n = 87). Targeted DNA sequencing and pyrosequencing were used to detect somatic single-nucleotide variations in ACC-specific genes and methylation in the promoter region of paired box 5 (PAX5). The European Network for the Study of Adrenocortical Tumors (ENSAT) tumour stage, age, symptoms at presentation, resection status, and Ki-67 were combined to calculate S-GRAS. Endpoints were overall (OS), progression-free (PFS), and disease-free survival (DFS). Prognostic role was evaluated by multivariable survival analysis and their performance compared by Harrell's concordance index (C index). In training cohort, an independent prognostic role was confirmed at multivariate analysis for two DNA-based BMs: alterations in Wnt/β-catenin and Rb/p53 pathways and hypermethylated PAX5 (both P< .05 for PFS and DFS, hazard ratio [HR] 1.47-2.33). These were combined to S-GRAS to obtain a combined (COMBI) score. At comparative analysis, the best discriminative prognostic model was COMBI score in both cohorts for all endpoints, followed by S-GRAS score (C index for OS 0.724 and 0.765, PFS 0.717 and 0.670, and DFS 0.699 and 0.644, respectively). Targeted DNA-based BM evaluated on routinely available FFPE samples improves prognostication of ACC beyond routinely available clinical and histopathological parameters. This approach may help to better individualise patient's management.

Abstract LB132: In silico mutant neoantigen prediction - a promising avenue for target identification in human adrenocortical carcinoma

Abstract Introduction: Adrenocortical carcinoma (ACC) is one of the most aggressive endocrine malignancies and confers a poor prognosis in advanced stages. Effective treatments are lacking. The results of immune checkpoint inhibition were disappointing with few responders only deriving clinical benefit. For the development of novel immunotherapies such as tumor vaccines and T cell-based treatments, target identification is essential. Tumor-specific mutant neoantigens that may be recognized by T cells in the context of major histocompatibility complex (MHC) I are promising candidates. Methods: We performed whole exome-sequencing in 10 ACC samples with matched blood controls. Somatic mutations were identified using an in house bioinformatics pipeline. By coupling POLYSOLVER for HLA typing with netMHCpan, in silico binding affinity of tumor-specific neoantigens to MHC was calculated taking into account both peptide and HLA sequence information. Strong binding (SB) was defined as &amp;lt;0.5% rank, weak binding (WB) as 0.5-1.9% rank and no binding (NB) as &amp;gt;2.0% rank of all peptides to MHC. Results: Across 10 ACC patients, we identified 1067 unique somatic mutations (median 49.5, ranging from 15-590), affecting 989 different genes. Binding affinity changed for 414 predicted neoantigens from NB to WB, 80 from NB to SB and 82 from WB to SB. The mutant neoantigen load per patient ranged from 10 to 235 (mean 66.2) and was positively correlated to the total number of non-synonymous single nucleotide variants (R2 0.8977, 95% CI 0.79-0.99; p&amp;lt;0.0001). Discussion: This is the first study that demonstrates successful in silico neoantigen profiling in ACC. Mutant neoantigens were predicted to be present both in ACC with high and low tumor mutational burden. These data will pave the way for in vitro validation and hold potential to develop therapeutic cancer vaccines and T cell-based cancer immunotherapy in ACC. Citation Format: Laura-Sophie Landwehr, Silke Appenzeller, Laura Ölsner, Isabel Weigand, Silviu Sbiera, Martin Fassnacht, Matthias Kroiss. In silico mutant neoantigen prediction - a promising avenue for target identification in human adrenocortical carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr LB132.

Abstract 1197: B7-H3-CAR T cells for the treatment of pediatric adrenocortical carcinoma

Abstract Outcomes for pediatric patients with unresectable, metastatic, or relapsed adrenocortical carcinoma (ACC) are dismal despite aggressive management with multimodality therapies. CAR T cell therapy (CAR T) is a promising approach to improve outcomes for patients with this disease. However, progress is hindered by a lack of targetable surface antigens and limited availability of relevant preclinical models. B7-H3 is a promising immunotherapeutic target but little is known about its expression in pediatric ACC. Thus, we sought to i) evaluate B7-H3 expression in primary pediatric ACC samples and ii) assess B7-H3-CAR T activity in two novel pediatric patient-derived xenograft (PDX) models. First, we assessed B7-H3 expression in 44 pediatric adrenocortical tumors (ACTs) using a CLIA-approved immunohistochemistry (IHC) assay. ACTs had a range of B7-H3 positivity, including 24 (55%) with expression above the threshold for eligibility on our active B7-H3-CAR T clinical trial (H-score ≥ 100; NCT04897321). Univariate analyses demonstrated B7-H3 expression was correlated with the presence of germline TP53 mutations and poor prognostic factors including the inability to achieve complete resection, Cushing phenotype, and the absence of TP53 by IHC. Given a dearth of in vivo models, we next established two clinically relevant pediatric ACC PDX models. SJ-ACC4 was derived from a metastatic tumor and had somatic mutations in TP53 (p.C135Lfs*14) and CTNNB1 (p.S45F). SJACT030812_X1 (www.stjude.org/cstn) was derived from a primary tumor and had a germline TP53 mutation (p.R110Pfs*39). Both had partial ATRX deletions (exons 11-30; 3-28), uniparental disomy at chromosome 11p15, and were B7-H3-positive. Notably, SJ-ACC4 was resistant to a battery of chemotherapeutic agents. To evaluate B7-H3-CAR T anti-ACC activity in vivo, SJ-ACC4 tumor fragments were implanted subcutaneously in NOD SCID gamma (NSG) mice and treated with B7-H3-CAR or control T cells. Strikingly, B7-H3-CAR T eradicated 100% of SJ-ACC4 tumors and mice survived long term compared to controls that met endpoints within 35 days (n=8 per group, p&amp;lt; 0.0001). Finally, we asked if B7-H3-CAR T had antitumor activity in an orthotopic pediatric ACC PDX model. SJACT030812_X1 cells were injected into the para-adrenal region of NSG mice under ultrasound guidance and monitored by serial volumetric ultrasonography. B7-H3-CAR T again had significant antitumor activity, and mice survived long-term compared to controls that met endpoints within 42 days (n=5 per group, p&amp;lt; 0.01). In conclusion, B7-H3 is expressed in a majority of pediatric ACTs and B7-H3-CAR T have potent anti-ACC activity. These findings provide a strong rationale for clinically evaluating B7-H3-CAR T for pediatric patients with chemotherapy-resistant ACC. Additionally, the newly established pediatric ACC PDX models provide a valuable resource for investigating different aspects of this rare and aggressive disease. Citation Format: Rebecca Epperly, Emilia M. Pinto, Teresa Santiago, Heather Sheppard, Michael R. Clay, Christopher Morton, Phuong Nguyen, Yinmei Zhou, Mary Woolard, Carla O'Reilly, Julie Justice, Walter Akers, Melissa Johnson, Asa Karlstrom, Cheng Cheng, Gerard Zambetti, Andrew Davidoff, Raul Ribeiro, Christopher DeRenzo. B7-H3-CAR T cells for the treatment of pediatric adrenocortical carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1197.

EMS1/DLL4-Notch Signaling Axis Augments Cell Cycle-Mediated Tumorigenesis and Progress in Human Adrenocortical Carcinoma.

Adrenocortical carcinoma (ACC) is a rare malignant neoplasm that is prone to local invasion and metastasis. Meanwhile, overexpressed endothelial cell-specific molecule 1 (ESM1) is closely related to tumorigenesis of multitudinous tumors. However, the prognosis value and biological function of ESM1 in ACC remains undefined. In the current essay, the assessment in human ACC samples and multiple public cancer databases suggested that ESM1 was significantly overexpressed in ACC patients. The abnormal expression of ESM1 was evidently correlated with dismal overall survival (OS) in ACC patients. Then, the gene-set enrichment analysis (GSEA) was applied to unravel that ESM1 was mostly involved in cell cycle and Notch4 signaling pathway. Furthermore, in vitro experiment, RNA interference of ESM1 was carried out to state that ESM1 augments CDK1 and p21-mediated G2/M-phase transition of mitosis, cell proliferation via DLL4-Notch signaling pathway in human ACC cell line, SW13 cells. Additionally, two possible or available therapeutic strategies, including immunotherapy and chemotherapy, have been further explored. Immune infiltration analysis highlighted that no significant difference was found in ACC patients between EMS1high and EMS1low group for immune checkpoint-related genes. In addition, the overexpression of ESM1 might trigger the accumulation of tumor mutation burden (TMB) during the cell cycle of DNA replication in ACC. The gene-drug interaction network then indicated that ESM1 inhibitors, such as cisplatin, might serve as potential drugs for the therapy of ACC. Collectively, the results asserted that ESM1 and related regulators might act as underlying prognostic biomarkers or novel therapeutic targets for ACC.

Systematic Genome-Wide Profiles Reveal Alternative Splicing Landscape and Implications of Splicing Regulator DExD-Box Helicase 21 in Aggressive Progression of Adrenocortical Carcinoma.

The online version contains supplementary material available at 10.1007/s43657-021-00026-x.

Targeted genomic analysis of 364 adrenocortical carcinomas.

Despite recent advances in elucidating molecular pathways underlying adrenocortical carcinoma (ACC), this orphan malignancy is associated with poor survival. Identification of targetable genomic alterations is critical to improve outcomes. The objective of this study was to characterize the genomic profile of a large cohort of patient ACC samples to identify actionable genomic alterations. Three hundred sixty-four individual patient ACC tumors were analyzed. The median age of the cohort was 52 years and 60.9% (n = 222) were female. ACC samples had common alterations in epigenetic pathways with 38% of tumors carrying alterations in genes involved in histone modification, 21% in telomere lengthening, and 21% in SWI/SNF complex. Tumor suppressor genes and WNT signaling pathway were each mutated in 51% of tumors. Fifty (13.7%) ACC tumors had a genomic alteration in genes involved in the DNA mismatch repair (MMR) pathway with many tumors also displaying an unusually high number of mutations and a corresponding MMR mutation signature. In addition, genomic alterations in several genes not previously associated with ACC were observed, including IL7R, LRP1B, FRS2 mutated in 6, 8 and 4% of tumors, respectively. In total, 58.5% of ACC (n = 213) had at least one potentially actionable genomic alteration in 46 different genes. As more than half of ACC have one or more potentially actionable genomic alterations, this highlights the value of targeted sequencing for this orphan cancer with a poor prognosis. In addition, significant incidence of MMR gene alterations suggests that immunotherapy is a promising therapeutic for a considerable subset of ACC patients.

Investigating the clinical, pathological and molecular profile of oncocytic adrenocortical neoplasms: a case series and literature review.

Malignant oncocytic adrenocortical neoplasms (OANs) are rare tumours with a distinctive biological behaviour compared to conventional adrenocortical carcinoma (ACC). The current prognostic systems overestimate the malignant potential of these tumours, and guidance for surveillance and treatment strategies are lacking. To evaluate the utility of clinical, pathological and molecular markers in predicting the biological behaviour and outcomes of malignant OANs. A retrospective clinicopathological review of 10 histologically confirmed OANs was carried out. Whole exome sequencing (WES) of germline and paired tumour samples was performed for four of the ten OAN cases and compared to WES data from five cases of conventional ACC and data from The Cancer Genome Atlas. We reviewed all the cases of malignant OAN reported in the literature and compared to our case series. Eight (80%) tumours were classified as malignant, one borderline and one benign (Lin-Weiss-Bisceglia criteria, LWB). The malignant OAN were larger tumours and had higher MIB index and Helsinki scores. Molecular profiling identified a pathogenic germline variant in MSH6 in an individual in the OAN group. The OAN samples had a lower mutation burden compared to the ACC samples. Somatic driver variants were identified in OAN and ACC samples including a pathogenic missense variant in CTNNB1. In this study, the LWB classification demonstrated sensitivity for the differentiation of benign from malignant OAN. Molecular profiling identified dysregulation in DNA repair and Wnt signalling pathways in both OAN and ACC samples, suggesting a molecular overlap between OAN and conventional ACC.

Cytotoxic Effect of Progesterone, Tamoxifen and Their Combination in Experimental Cell Models of Human Adrenocortical Cancer.

Progesterone (Pg) and estrogen (E) receptors (PgRs and ERs) are expressed in normal and neoplastic adrenal cortex, but their role is not fully understood. In literature, Pg demonstrated cytotoxic activity on AdrenoCortical Carcinoma (ACC) cells, while tamoxifen is cytotoxic in NCI-H295R cells. Here, we demonstrated that in ACC cell models, ERs were expressed in NCI-H295R cells with a prevalence of ER-β over the ER-α.Metastasis-derived MUC-1 and ACC115m cells displayed a very weak ER-α/β signal, while PgR cells were expressed, although at low level. Accordingly, these latter were resistant to the SERM tamoxifen and scarcely sensitive to Pg, as we observed a lower potency compared to NCI-H295R cells in cytotoxicity (IC50: MUC-1 cells: 67.58 µM (95%CI: 63.22–73.04), ACC115m cells: 51.76 µM (95%CI: 46.45–57.67) and cell proliferation rate. Exposure of NCI-H295R cells to tamoxifen induced cytotoxicity (IC50: 5.43 µM (95%CI: 5.18–5.69 µM) mainly involving ER-β, as their nuclear localization increased after tamoxifen: Δ A.U. treated vs untreated: 12 h: +27.04% (p < 0.01); 24 h: +36.46% (p < 0.0001). This effect involved the SF-1 protein reduction: Pg: −36.34 ± 9.26%; tamoxifen: −46.25 ± 15.68% (p < 0.01). Finally, in a cohort of 36 ACC samples, immunohistochemistry showed undetectable/low level of ERs, while PgR demonstrated a higher expression. In conclusion, ACC experimental cell models expressed PgR and low levels of ER in line with data obtained in patient tissues, thus limiting the possibility of a clinical approach targeting ER. Interestingly, Pg exerted cytotoxicity also in metastatic ACC cells, although with low potency.

Bioinformatic analyses and experimental validation of the role of m6A RNA methylation regulators in progression and prognosis of adrenocortical carcinoma.

M6A-related genes have been proven to play an important role in many cancers. However, the role of that in adrenocortical carcinoma (ACC) has not been fully elucidated. In the present study, 77 ACC samples from TCGA database were divided into localized (n = 46) and metastatic (n = 31) groups. Three differential expression genes (DEGs) and five prognostic m6A genes were screened out. M6A-related risk signature (RBM15 and HNRNPC) was constructed by the Lasso regression analysis. In TCGA cohort (training cohort), the risk signature was identified as an ACC-independent prognostic factor and can distinguish the prognostic difference of ACC patients with clinical stage I-II, T3-4 and N0 stages. A nomogram combining T stage and m6A risk score was constructed to predict the overall survival rate (OSR) of individual at 1,2,3 year. Meanwhile, its prognostic value was also confirmed in the validation cohort (GSE33371 dataset). The potential associations between m6A risk level and immune checkpoint inhibitors (ICIs) therapy were also investigated via the TISIDB online tool. High m6A risk not only can suppress immunotherapy-related biological processes, but also repress the expressions of immune-checkpoint markers. Moreover, five pairs of clinical specimens were collected to confirm the overexpression of HNRNPC and non-ectopic expression of RBM15 in tumor tissues. HNRNPC was proven to promote the proliferation, migration and invasion of H295R and SW13 cells through MTT and Transwell assays. In conclusion, the m6A-related risk signature was beneficial for prognostic analysis and can affect immune microenvironment in ACC. HNRNPC played a pro-cancer role in ACC progression.

Analysis of m6A-Related Signatures in the Tumor Immune Microenvironment and Identification of Clinical Prognostic Regulators in Adrenocortical Carcinoma.

Adrenocortical carcinoma (ACC) is a rare endocrine malignancy with a high rate of mortality and recurrence. N6-methyladenosine methylation (m6A) is the most common modification to affect cancer development, but to date, the potential role of m6A regulators in ACC prognosis is not well understood. In this study, we systematically analyzed 21 m6A regulators in ACC samples from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. We identified three m6A modification patterns with different clinical outcomes and discovered a significant relationship between diverse m6A clusters and the tumor immune microenvironment (immune cell types and ESTIMATE algorithm). Additionally, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) revealed that the m6A clusters were strongly associated with immune infiltration in the ACC. Next, to further explore the m6A prognostic signatures in ACC, we implemented Lasso (Least Absolute Shrinkage and Selection Operator) Cox regression to establish an eight-m6A-regulator prognostic model in the TCGA dataset, and the results showed that the model-based high-risk group was closely correlated with poor overall survival (OS) compared with the low-risk group. Subsequently, we validated the key modifications in the GEO datasets and found that high HNRNPA2B1 expression resulted in poor OS and event-free survival (EFS) in ACC. Moreover, to further decipher the molecular mechanisms, we constructed a competing endogenous RNA (ceRNA) network based on HNRNPA2B1, which consists of 12 long noncoding RNAs (lncRNAs) and 1 microRNA (miRNA). In conclusion, our findings indicate the potential role of m6A modification in ACC, providing novel insights into ACC prognosis and guiding effective immunotherapy.

Impact of the Chemokine Receptors CXCR4 and CXCR7 on Clinical Outcome in Adrenocortical Carcinoma.

Chemokine receptors have a negative impact on tumor progression in several human cancers and have therefore been of interest for molecular imaging and targeted therapy. However, their clinical and prognostic significance in adrenocortical carcinoma (ACC) is unknown. The aim of this study was to evaluate the chemokine receptor profile in ACC and to analyse its association with clinicopathological characteristics and clinical outcome. A chemokine receptor profile was initially evaluated by quantitative PCR in 4 normal adrenals, 18 ACC samples and human ACC cell line NCI-H295. High expression of CXCR4 and CXCR7 in both healthy and malignant adrenal tissue and ACC cells was confirmed. In the next step, we analyzed the expression and cellular localization of CXCR4 and CXCR7 in ACC by immunohistochemistry in 187 and 84 samples, respectively. These results were correlated with clinicopathological parameters and survival outcome. We detected strong membrane expression of CXCR4 and CXCR7 in 50% of ACC samples. Strong cytoplasmic CXCR4 staining was more frequent among samples derived from metastases compared to primaries (p=0.01) and local recurrences (p=0.04). CXCR4 membrane staining positively correlated with proliferation index Ki67 (r=0.17, p=0.028). CXCR7 membrane staining negatively correlated with Ki67 (r=−0.254, p=0.03) but positively with tumor size (r=0.3, p=0.02). No differences in progression-free or overall survival were observed between patients with strong and weak staining intensities for CXCR4 or CXCR7. Taken together, high expression of CXCR4 and CXCR7 in both local tumors and metastases suggests that some ACC patients might benefit from CXCR4/CXCR7-targeted therapy.

SUN-LB22 PLK1 as a New Treatment Target for Adrenocortical Carcinoma

Background: Adrenocortical carcinoma (ACC) is an aggressive malignancy with limited medical treatment options. We previously identified polo-like kinase 1 (PLK1) as one of most overexpressed genes in ACC; thus PLK1 represents a potential treatment target for this cancer type. Some PLK1 inhibitors are under evaluation in clinical trials for other solid organ malignancies, and seem to be more effective in TP53 mutated tumours. The aim of this study was to evaluate PLK1 protein levels in a large series of ACC and assess the in vitroefficacy of PLK1 inhibitors in two different ACC cell lines. Methods: 104 formalin-fixed paraffin-embedded ACC tissue samples with available genetic data were investigated. Nuclear PLK1 protein expression was evaluated by immunohistochemistry and a semi-quantitative H-score was calculated. PLK1 expression levels were correlated to clinical and histological parameters. Efficacy of PLK1-specific inhibitor Volasertib (0-200 nM) was tested in the standard NCI-H295R ACCcell line, which presents PLK-1 overexpression and a large TP53 deletion, and in the newly established MUC1 cell line, which bears a frameshift mutation in TP53. Cell proliferation was analysed using DNA fluorescence and cell apoptosis by Caspase Glo 3/7 assay. Results: Nuclear PLK1 expression was classified as high in 59% of ACC samples, with a significant difference noted between TP53-mutated (n=24) and wild-type (n=80) cases (87.5 vs 51%, p<0.01). PLK1 levels did not correlate with either progression-free or overall survival. H295R cells showed a significant time- and dose-dependent reduction of cell proliferation compared to vehicle control after 72h of Volasertib treatment (p<0.005 per trend, p=0.01 by 200nM by non-parametric two-way ANOVA). A less pronounced and non-significant trend towards inhibited proliferation was observed in MUC1 cells. Cell apoptosis was significantly higher in the H295R cells treated with 175nM and 200nM Volasertib when compared to control (p<0.05), while there was no significant difference in MUC1 cells. Conclusion:In this pilot study, we propose PLK1 inhibitors as promising candidates for treatment of a subset of ACC patients that may be pre-selected according to the tumour molecular pattern. We plan to extend functional experiments to further PLK1 inhibitors, including additional ACC cell lines with a different molecular profile.

Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis

Adrenocortical carcinoma (ACC), a rare malignant neoplasm originating from adrenal cortical cells, has high malignancy and few treatments. Therefore, it is necessary to explore the molecular mechanism of tumorigenesis, screen and verify potential biomarkers, which will provide new clues for the treatment and diagnosis of ACC. In this paper, three gene expression profiles (GSE10927, GSE12368 and GSE90713) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were obtained using the Limma package. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were enriched by DAVID. Protein‐protein interaction (PPI) network was evaluated by STRING database, and PPI network was constructed by Cytoscape. Finally, GEPIA was used to validate hub genes’ expression. Compared with normal adrenal tissues, 74 up‐regulated DEGs and 126 down‐regulated DEGs were found in ACC samples; GO analysis showed that up‐regulated DEGs were enriched in organelle fission, nuclear division, spindle, et al, while down‐regulated DEGs were enriched in angiogenesis, proteinaceous extracellular matrix and growth factor activity; KEGG pathway analysis showed that up‐regulated DEGs were significantly enriched in cell cycle, cellular senescence and progesterone‐mediated oocyte maturation; Nine hub genes (CCNB1, CDK1, TOP2A, CCNA2, CDKN3, MAD2L1, RACGAP1, BUB1 and CCNB2) were identified by PPI network; ACC patients with high expression of 9 hub genes were all associated with worse overall survival (OS). These hub genes and pathways might be involved in the tumorigenesis, which will offer the opportunities to develop the new therapeutic targets of ACC.