Germline NGS targeted analysis in adult patients with sporadic adrenocortical carcinoma.

BACKGROUND: Adrenocortical carcinoma (ACC) is a rare cancer that arises sporadically or due to hereditary syndromes. Data on germline variants (GVs) in sporadic ACC are limited. Our aim was to characterize GVs of genes potentially related to adrenal diseases in 150 adult patients with sporadic ACC. METHODS: This was a retrospective analysis of stage I-IV ACC patients with sporadic ACC from two reference centers for ACC in Italy. Patients were included in the analysis if they had confirmed diagnosis of ACC, a frozen peripheral blood sample and complete clinical and follow-up data. Next generation sequencing technology was used to analyze the prevalence of GVs in a custom panel of 17 genes belonging to either cancer-predisposition genes or adrenocortical-differentiation genes categories. RESULTS: We identified 18 GVs based on their frequency, enrichment and predicted functional characteristics. We found six pathogenic (P) or likely pathogenic (LP) variants in ARMC5, CTNNB1, MSH2, PDE11A and TP53 genes; and twelve variants lacking evidence of pathogenicity. New unique P/LP variants were identified in TP53 (p.G105D) and, for the first time, in ARMC5 (p.P731R). The presence of P/LP GVs was associated with reduced survival outcomes and had a significant and independent impact on both progression-free survival and overall survival. CONCLUSIONS: GVs were present in 6.7 % of patients with sporadic ACC, and we identified novel variants of ARMC5 and TP53. These findings may improve understanding of ACC pathogenesis and enable genetic counseling of patients and their families.

Cabozantinib monotherapy for advanced adrenocortical carcinoma: a single-arm, phase 2 trial.

BACKGROUND: Adrenocortical carcinoma is a rare malignancy with poor response to systemic chemotherapy. Mitotane is the only approved therapy for adrenocortical carcinoma. Cabozantinib is a multikinase inhibitor approved in multiple malignancies. This is the first prospective trial to explore the anti-tumour activity, safety, and pharmacokinetic profile of cabozantinib in patients with advanced adrenocortical carcinoma. METHODS: This investigator-initiated, single-arm, phase 2 trial in adult patients (aged ≥18 years) with advanced adrenocortical carcinoma was done at the University of Texas MD Anderson Cancer Center (Houston, TX, USA). Eligible patients had histologically confirmed adrenocortical carcinoma, were not candidates for surgery with curative intent, had measurable disease, had an estimated life expectancy of at least 3 months, and an Eastern Cooperative Oncology Group (ECOG) performance status of 0-2 with adequate organ function. Patients who had used mitotane within 6 months of study participation were required to have a serum mitotane level of less than 2 mg/L. Patients were given oral cabozantinib 60 mg daily with the option of dose reduction to manage adverse events. The primary endpoint was progression-free survival at 4 months, assessed in all patients who received at least one dose of study drug per protocol. This study is registered with ClinicalTrials.gov, NCT03370718, and is now complete. FINDINGS: Between March 1, 2018, and May 31, 2021, we enrolled 18 patients (ten males and eight females), all of whom received at least one dose of study treatment. Of the 18 patients, eight (44%) had an ECOG performance status of 0, nine (50%) patients had a performance status of 1, and one (6%) patient had a performance status of 2. Median follow-up was 36·8 months (IQR 30·2-50·3). At 4 months, 13 (72·2%; 95% CI 46·5-90·3) of 18 patients had progression-free survival and median progression-free survival was 6 months (95% CI 4·3 to not reached). One patient remains on treatment. Treatment-related adverse events of grade 3 or worse occurred in 11 (61%) of 18 patients. The most common grade 3 adverse events were lipase elevation (three [17%] of 18 patients), elevated γ-glutamyl transferase concentrations (two [11%] patients), elevated alanine aminotransferase concentrations (two [11%] patients), hypophosphatemia (two [11%] patients), and hypertension (two [11%] patients). One (6%) of 18 patients had grade 4 hypertension. No treatment related deaths occurred on study. INTERPRETATION: Cabozantinib in advanced adrenocortical carcinoma showed promising efficacy with a manageable and anticipated safety profile. Further prospective studies with cabozantinib alone and in combination with immune checkpoint therapy are ongoing. FUNDING: Exelixis.

Prognostic significance of lymph node count in surgically treated patients with T2-4 stage nonmetastatic adrenocortical carcinoma.

PURPOSE: The role of lymphadenectomy and the optimal lymph node count (LNC) cut-off in nonmetastatic adrenocortical carcinoma (nmACC) are unclear. METHODS: Within the Surveillance, Epidemiology, and End Results (SEER) database, surgically treated nmACC patients with T2-4 stages were identified between 2004 and 2020. We tested for cancer-specific mortality (CSM) differences according to pathological N-stage (pN0 vs. pN1) and two previously recommended LNC cut-offs (≥4 vs. ≥5) were tested in pN0 and subsequently in pN1 subgroups in Kaplan-Meier plots and multivariable Cox regression models. RESULTS: Of 710 surgically treated nmACC patients, 185 (26%) underwent lymphadenectomy and were assessable for further analyses based on available LNC data. Of 185 assessable patients, 152 (82%) were pN0 and 33 (18%) were pN1. In Kaplan-Meier analyses, CSM-free survival was 74 vs. 14 months (Δ 60 months, P ≤ 0.001) in pN0 vs. pN1 patients, respectively. In multivariable analyses, pN1 was an independent predictor of higher CSM (HR:3.13, P < 0.001). In sensitivity analyses addressing pN0, LNC cut-off of ≥4 was associated with lower CSM (multivariable hazard ratio [HR]: 0.52; P = 0.002). In sensitivity analyses addressing pN0, no difference was recorded when a LNC cut-off of ≥5 was used (HR:0.60, P = 0.09). In pN1 patients, neither of the cut-offs (≥4 and ≥5) resulted in a statistically significant stratification of CSM rate, and neither reached independent predictor status (all P > 0.05). CONCLUSIONS: Lymphadenectomy provides a prognostic benefit in nmACC patients and identifies pN1 patients with dismal prognosis. Conversely, in pN0 patients, a LNC cut-off ≥4 identifies those with particularly favorable prognosis.

Adrenocortical Cancer in the Real World: A Comprehensive Analysis of Clinical Features and Management from the Turkish Oncology Group (TOG).

INTRODUCTION: Adrenocortical carcinoma (ACC) is a rare yet highly malignant tumor associated with significant morbidity and mortality. This study aims to delineate the clinical features, survival patterns, and treatment modalities of ACC, providing insights into the disease's prognosis. MATERIALS AND METHODS: A retrospective analysis of 157 ACC patients was performed to assess treatment methodologies, demographic patterns, pathological and clinical attributes, and laboratory results. The data were extracted from the hospital's database. Survival analyses were conducted using the Kaplan-Meier method, with univariate and multivariate analyses being performed through the log-rank test and Cox regression analyses. RESULTS: The median age was 45, and 89.4% had symptoms at the time of diagnosis. The median tumor size was 12 cm. A total of 117 (79.6%) patients underwent surgery. A positive surgical border was detected in 26 (24.1%) patients. Adjuvant therapy was administered to 44.4% of patients. The median overall survival for the entire cohort was 44.3 months. Median OS was found to be 87.3 months (95% confidence interval [CI] 74.4-100.2) in stage 2, 25.8 (95% CI 6.5-45.1) months in stage 3, and 13.3 (95% CI 7.0-19.6) months in stage 4 disease. Cox regression analysis identified age, Ki67 value, Eastern Cooperative Oncology Group performance status, and hormonal activity as significant factors associated with survival in patients with nonmetastatic disease. In metastatic disease, only patients who underwent surgery exhibited significantly improved overall survival in univariate analyses. CONCLUSION: ACC is an uncommon tumor with a generally poor prognosis. Understanding the defining prognostic factors in both localized and metastatic diseases is vital. This study underscores age, Ki67 value, Eastern Cooperative Oncology Group performance status, and hormonal activity as key prognostic determinants for localized disease, offering critical insights into the complexities of ACC management and potential avenues for targeted therapeutic interventions.

Clinicopathological characteristics of adrenocortical carcinoma in the Kyushu-Okinawa area of Japan.

OBJECTIVE: Adrenocortical carcinoma is a rare condition, with limited comprehensive reports from Japan. This study aimed to review Japan's data on adrenocortical carcinoma by assessing information from 46 patients-with adrenocortical carcinoma across 10 Japanese university hospitals. METHODS: We conducted a retrospective multi-institutional analysis of the clinical characteristics of adrenocortical carcinoma in Japan. We evaluated data from 46 patients across 10 university hospitals over 10 years and analyzed the relationship between clinicopathological characteristics and overall survival. RESULTS: Five- and 10-year overall survival rates were 59% and 53%, respectively. Overall survival was significantly different among the tumor-node-metastasis system for adrenocortical carcinoma of the American Joint Committee on Cancer/International Union Against Cancer, with the worst prognosis in stage IV (p = 0.0044). In our cohort, neither the Weiss score nor the Ki-67 proliferation index correlated with overall survival. Adjuvant treatment did not yield improved overall survival, whereas resection of the primary tumor in stage IV disease was significantly associated with improved overall survival (p = 0.0262). Out of the cases evaluated for plasma hormones, plasma cortisol, aldosterone, testosterone, and DHEA-S levels were measured at 23%, 42%, 29%, and 62%, respectively, demonstrating higher levels than the upper normal limits. CONCLUSION: Patients with stage IV adrenocortical carcinoma had a poor prognosis; however, resection of the primary tumor in stage IV disease was associated with prolonged survival. The results of this study are expected to contribute to future treatment of adrenocortical carcinoma in Japan.

Identification of novel lipid metabolic biomarkers associated with poor adrenocortical carcinoma prognosis using integrated bioinformatics.

BACKGROUND: Adrenocortical carcinoma while rare, often presents with advanced metastatic disease carrying a 5-year survival of <15%. Despite adrenocortical carcinoma tumors having high avidity for cholesterol, the role of lipids in adrenocortical carcinoma has not been well described. Therefore, we performed an integrated bioinformatic analysis to identify novel lipid biomarkers correlating with poor survival that may help identify adrenocortical carcinoma tumor progression or therapy resistance. METHODS: A meta-analysis of collated adrenocortical carcinoma studies from the correlation engine identified lipid metabolism genes differentially expressed between adrenocortical carcinoma and the normal adrenal, which were then selected for enrichment analysis by the Database for Annotation, Visualization and Integrated Discovery database. A protein-protein interaction network of genes was constructed using Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape. Top hub genes identified were validated using the Xena database. Survival analysis of hub genes was performed in the R2 genomic analysis platform using The Cancer Genome Atlas program data set. RESULTS: Examination of pathways by correlation engine identified a unique subset of lipid metabolism-related genes that are differentially regulated in adrenocortical carcinoma tumors versus normal tissues (P < .01). Enrichment pathway analysis in Database for Annotation, Visualization and Integrated Discovery indicated that genes involved in sphingolipid, steroid, and peroxisome proliferator-activated receptor-α metabolism is upregulated in adrenocortical carcinoma, whereas glycerol phospholipid, fatty acid, and phosphatidylinositol metabolism are downregulated. Survival analysis of differentially regulated genes indicated that upregulation of SGPL1, FDFT1, SQLE and downregulation of PIK3C2B, PIK3CD, SYNJ2, DGAT1, PLA2G16, PLD1, GPD1 are all significantly associated with poor overall survival (P < .05) in adrenocortical carcinoma patients. CONCLUSION: Upregulation of sphingolipid and steroid synthesis genes and downregulation of phosphatidylinositol and glycerol phospholipid metabolism are associated with worse survival in patients with adrenocortical carcinoma.

Multiplatform computational analysis of mast cells in adrenocortical carcinoma tumor microenvironment.

BACKGROUND: Immunotherapeutic response failure of adrenocortical carcinomas highlights a need for novel strategies targeting immune cell populations in the tumor microenvironment to overcome tumor resistance and enhance therapeutic response. A recent study explored a new link between tumor mast cell infiltration and improved outcomes in patients with adrenocortical carcinomas. We further dissect the role of mast cells in the tumor microenvironment of adrenocortical carcinomas by examining the tumor mast cell expression signatures and mast cell activity within the tumor microenvironment to provide additional insight into potential novel immunotherapeutic targets. METHODS: Using the CIBERSORTx computational immunogenomic deconvolution algorithm to analyze adrenocortical carcinoma tumor gene messenger RNA expression data (The Cancer Genome Atlas, N = 79), we estimated the abundance of tumor immune infiltrating mast cells and assessed prognostic potential of mast cell signaling genes as pro or antitumor signatures, as well as examined the impact on overall and disease-free survival. RESULTS: We stratified mast cell signaling genes with survival prognostic values (overall survival, disease-free survival, P < .05) into antitumor (ALOX5, CCL2, CCL5, CXCL10, HDC, IL16, TNF, TPSAB1, VEGFD) and protumor (CXCL1, CXCL3, CXCL8, IL4, IL13, PTGS3, TNSF4, VEGFD) groups. Antitumor mast cell signature, as the predominant phenotype, was associated with improved overall and disease-free survival. CONCLUSION: The deconvolution analysis of The Cancer Genome Atlas data identified mast cell infiltration in the adrenocortical carcinoma microenvironment as predominantly associated with antitumor activity. Future studies stemming from our findings may help define the role of mast cells in the tumor microenvironment and the impact on patient survival in patients with adrenocortical carcinomas. Modulation of tumor mast cell infiltration may serve as a potential target for novel synergistic immunotherapies for the treatment and improved survival of patients with adrenocortical carcinomas.

Pediatric adrenocortical tumors cohort characteristics and long-term follow-up at a single Argentinian tertiary center.

Pediatric adrenocortical tumors are rare and heterogeneous endocrine malignancies. OBJECTIVES: To report clinical, biochemical, and histological features, staging, and therapeutic interventions in a cohort of 28 patients treated at a single tertiary center. METHODS: A retrospective review of medical records of children with PACT (diagnosed before <18 years of age) followed between 1987-2018 at Hospital de Pediatría Garrahan, Buenos Aires, Argentina. RESULTS: Mean age at diagnosis was 4.6 years (range, 0.3-17.3 years) and median follow-up was 4.17 years (range, 0-12 years). Female to male ratio was 2.5:1. Signs and symptoms that prompted medical intervention were hormonal overproduction (57%), abdominal complaints (36%), and hypertensive encephalopathy (7%). In patients with clinically virilizing tumors (n=16) mean height standard deviation score (SDS) and bone age advance were significantly higher while body mass index (BMI) SDS was significantly lower than in those with clinical Cushing's (n=10) (p<0.05). Serum dehydroepiandrosterone sulfate (DHEAS) levels were significantly higher in stage IV than in stage I (p=0.03). Total adrenalectomy was performed in 26 patients. Eight patients (stage III-IV) received adjuvant chemotherapy. Five-year overall and disease-free survival were 100% for ST I-II, and 51% (95% CI 21-82) and 33% (95% CI 1.2-65) for ST III-IV, respectively (p=0.002). No statistical difference was found when comparing 2-year parameters with and without adjuvant chemotherapy. CONCLUSIONS: Height SDS and BMI SDS seem to mirror hormonal secretion in pediatric adrenocortical tumors. Higher DHEAS levels were found in patients with more advanced disease. Further large-scale studies are needed to validate a possible role for DHEAS as a biochemical marker of tumor stage and to draw robust conclusions on the use of adjuvant chemotherapy.

Identification of prognostic metabolic genes in adrenocortical carcinoma and establishment of a prognostic nomogram: A bioinformatic study.

ABSTRACT: Adrenocortical carcinoma is an invasive malignancy with poor prognosis, high recurrence rate and limited therapeutic options. Therefore, it is necessary to establish an effective method to diagnose and evaluate the prognosis of patients, so as to realize individualized treatment and improve their survival rate.This study investigated metabolic genes that may be potential therapeutic targets for Adrenocortical carcinoma (ACC). Level 3 gene expression data from the ACC cohort and the relevant clinical information were obtained from The Cancer Genome Atlas (TCGA) database. To verify, other ACC datasets (GSE76021, GSE19750) were downloaded from the Gene Expression Omnibus (GEO) database. The ACC datasets from TCGA and GEO were used to screen metabolic genes through the Molecular Signatures Database using gene set enrichment analysis. Then, the overlapping metabolic genes of the 2 datasets were identified.A signature of five metabolic genes (CYP11B1, GSTM2, IRF9, RPL31, and UBE2C) was identified in patients with ACC. The signature could be used to divide the patients with ACC into high- and low-risk groups based on their median risk score. Multivariate Cox regression analysis was performed to determine the independent prognostic factors of ACC. Time-dependent receiver operating characteristic (ROC) curve analysis was conducted to assess the prediction accuracy of the prognostic signature. Last, a nomogram was established to assess the individualized prognosis prediction model.The results indicated that the signature of 5 metabolic genes had excellent predictive value for ACC. These findings might help improve personalized treatment and medical decisions.

Role of FGF Receptors and Their Pathways in Adrenocortical Tumors and Possible Therapeutic Implications.

Adrenocortical carcinoma (ACC) is a rare endocrine malignancy and treatment of advanced disease is challenging. Clinical trials with multi-tyrosine kinase inhibitors in the past have yielded disappointing results. Here, we investigated fibroblast growth factor (FGF) receptors and their pathways in adrenocortical tumors as potential treatment targets. We performed real-time RT-PCR of 93 FGF pathway related genes in a cohort of 39 fresh frozen benign and malignant adrenocortical, 9 non-adrenal tissues and 4 cell lines. The expression of FGF receptors was validated in 166 formalin-fixed paraffin embedded (FFPE) tissues using RNA in situ hybridization (RNAscope) and correlated with clinical data. In malignant compared to benign adrenal tumors, we found significant differences in the expression of 16/94 FGF receptor pathway related genes. Genes involved in tissue differentiation and metastatic spread through epithelial to mesechymal transition were most strongly altered. The therapeutically targetable FGF receptors 1 and 4 were upregulated 4.6- and 6-fold, respectively, in malignant compared to benign adrenocortical tumors, which was confirmed by RNAscope in FFPE samples. High expression of FGFR1 and 4 was significantly associated with worse patient prognosis in univariate analysis. After multivariate adjustment for the known prognostic factors Ki-67 and ENSAT tumor stage, FGFR1 remained significantly associated with recurrence-free survival (HR=6.10, 95%CI: 1.78 - 20.86, p=0.004) and FGFR4 with overall survival (HR=3.23, 95%CI: 1.52 - 6.88, p=0.002). Collectively, our study supports a role of FGF pathways in malignant adrenocortical tumors. Quantification of FGF receptors may enable a stratification of ACC for the use of FGFR inhibitors in future clinical trials.

Autophagy-Related Proteins Are Differentially Expressed in Adrenal Cortical Tumor/Pheochromocytoma and Associated with Patient Prognosis.

The aim of this research was to evaluate the expression and concomitant implications of LC3A, LC3B, beclin-1, and p62, which are key components of autophagy in human adrenal gland tumors. Tissue microarray was made for 321 cases of adrenal gland tumor (adrenal cortical adenoma (ACA): 115, adrenal cortical carcinoma (ACC): 17, and pheochromocytoma (PCC): 189). Immunohistochemical staining was performed for beclin-1, p62, LC3A, and LC3B, and the results were compared with the patients' clinicopathologic parameters. LC3A, LC3B, beclin-1, and LC3B isolated single positive cells (ISPC) positivity rates were higher in PCC than in adrenal cortical tumor (ACT), whereas p62 positivity was lower in PCC than in ACT. The proportion of positive LC3B (ISPC) was higher in ACC than in ACA. In addition, the proportion of cells positive for p62 and LC3B (ISPC) was significantly higher in PCCs with a GAPP score of ≥3. In univariate Cox analysis, p62 positivity (p = 0.014) and the presence of p62 (ISPC) (p = 0.001) were associated with shorter disease-free survival in PCC. Moreover, p62 positivity was predictive of shorter overall survival (OS) in patients with PCC by multivariate analysis (relative risk, 6.240; 95% CI, 1.434-27.15; p = 0.015). Differences were found in the expression of autophagy-related proteins according to adrenal gland tumor types. Compared to ACT, the proportion of LC3A, LC3B, beclin-1, and LC3B (ISPC) positivity was higher in PCC, whereas p62 positivity was lower. Similarly, p62 positivity in PCC was associated with patient prognosis of OS.

S-GRAS score for prognostic classification of adrenocortical carcinoma: an international, multicenter ENSAT study.

OBJECTIVE: Adrenocortical carcinoma (ACC) has an aggressive but variable clinical course. Prognostic stratification based on the European Network for the Study of Adrenal Tumours stage and Ki67 index is limited. We aimed to demonstrate the prognostic role of a points-based score (S-GRAS) in a large cohort of patients with ACC. DESIGN: This is a multicentre, retrospective study on ACC patients who underwent adrenalectomy. METHODS: The S-GRAS score was calculated as a sum of the following points: tumour stage (1-2 = 0; 3 = 1; 4 = 2), grade (Ki67 index 0-9% = 0; 10-19% = 1; ≥20% = 2 points), resection status (R0 = 0; RX = 1; R1 = 2; R2 = 3), age (<50 years = 0; ≥50 years = 1), symptoms (no = 0; yes = 1), and categorised, generating four groups (0-1, 2-3, 4-5, and 6-9). Endpoints were progression-free survival (PFS) and disease-specific survival (DSS). The discriminative performance of S-GRAS and its components was tested by Harrell's Concordance index (C-index) and Royston-Sauerbrei's R2D statistic. RESULTS: We included 942 ACC patients. The S-GRAS score showed superior prognostic performance for both PFS and DSS, with best discrimination obtained using the individual scores (0-9) (C-index = 0.73, R2D = 0.30, and C-index = 0.79, R2D = 0.45, respectively, all P < 0.01vs each component). The superiority of S-GRAS score remained when comparing patients treated or not with adjuvant mitotane (n = 481 vs 314). In particular, the risk of recurrence was significantly reduced as a result of adjuvant mitotane only in patients with S-GRAS 4-5. CONCLUSION: The prognostic performance of S-GRAS is superior to tumour stage and Ki67 in operated ACC patients, independently from adjuvant mitotane. S-GRAS score provides a new important guide for personalised management of ACC (i.e. radiological surveillance and adjuvant treatment).

MSI2 expression in adrenocortical carcinoma: Association with unfavorable prognosis and correlation with steroid and immune-related pathways.

Adrenocortical carcinoma (ACC) is a rare, but highly aggressive cancer of the adrenal cortex with a generally poor prognosis. Despite being rare, completely resected ACCs present a high risk of recurrence. Musashi-2 (MSI2) has recently been recognized as a potential prognostic biomarker and therapeutic target in many cancers. However, no studies have evaluated the clinical significance of MSI2 expression in ACC. Here, we addressed MSI2 expression and its association with ACC prognosis and clinicopathological parameters. MSI2 expression was analyzed in TCGA, GSE12368, GSE33371, and GSE49278 ACC datasets; and its correlation with other genes and immune cell infiltration were investigated by using the R2: Genomics Analysis and Visualization Platform and TIMER databases, respectively. Enrichment analysis was performed with the DAVID Functional Annotation Tool. Kaplan-Meier curves, log-rank tests, and Cox regression analyses were used to explore the prognostic role of MSI2 in ACC. Our findings demonstrated the potential value of MSI2 overexpression as an independent predictor of poor prognosis in patients with completely resected ACC (hazard ratio 6.715, 95% confidence interval 1.266 - 35.620, p =.025). In addition, MSI2 overexpression was associated with characteristics of unfavorable prognosis, such as cortisol excess (p = .002), recurrence (p =.003), and death (p =.015); positively correlated with genes related to steroid biosynthesis (p < .05); and negatively correlated with immune-related pathways (p < .05). Our findings demonstrate that MSI2 has value as a prognostic marker for completely resected ACC and reinforce the investigation of its role as a possible therapeutic target for patients with ACC.

Adrenal biopsy, as a diagnostic method, is associated with decreased overall survival in patients with T1/T2 adrenocortical carcinoma: A propensity score-matched analysis.

INTRODUCTION: The standard diagnosis for adrenocortical carcinoma (ACC) is clinical diagnosis (CD) based on radiographic and biochemical studies. Biopsy diagnosis (BD) is seldom required for the suspicion of secondary malignancy. We aim to study the impact of BD in the context of underlying T1/T2 ACC on overall survival (OS) compared with CD. METHODS: National Cancer Database (NCDB) for endocrine malignancies was utilized. Only patients with non-metastatic ACC, whose method of diagnosis and local disease extension were reported, and received a surgical adrenalectomy with curative intent were included. Patients were divided by disease stage into T1/T2, T3, and T4 groups. A propensity score match was applied to those with T1/T2 disease who received CD versus BD and the Kaplan-Meier method was used to compare OS. RESULTS: In total, 4000 patients with ACC were reported in the database, 1410 met selection criteria. Eight hundred and thirty patients had T1/T2, 365 had T3, and 162 had T4 ACC. Of patients with T1/T2 ACC, 742 (89.4%) received CD versus 88 (11.6%) with BD. A propensity score was calculated per a multivariable regression model with 79 patients matched from each group. Exact matching was applied for margin status and adjuvant therapies. Kaplan-Meier analysis showed a significant difference in median OS between CD versus BD patients in the matched data set (103.89 ± 15.65 vs. 54.93 ± 8.22 months; p = 0.001). In all comers, patients with T1/T2 ACC and BD had comparable median OS to that of patients with T3 ACC (52.21 ± 9.69 vs. 36.01 ± 3.33 months; p = 0.446). CONCLUSION: BD in T1/T2 ACC could be associated with disease upstaging and worse OS outcomes.

The underlying molecular mechanism and drugs for treatment in adrenal cortical carcinoma.

Purpose: The study aimed to predict and explore the possible clinical value and mechanism of genetic markers in adrenal cortical carcinoma using a bioinformatics analysis method. Methods: The RNA-seqs and miRNAs data were downloaded from TCGA database to identify the differentially expressed genes and differentially expressed miRNAs. The hub-genes were screened by building protein-protein interaction sub-networks with 12 topological analysis methods. We conducted the receiver operating characteristic curve to elevate the diagnostic value of hub-genes in distinguishing the death and alive groups. The survival analysis of hub-genes and key miRNAs were conducted using Kaplan-Meier curves. Furthermore, most significant small molecules were identified as therapeutic candidates for adrenal cortical carcinoma by the CMap analysis. Results: Compared to survival group, we found 475 up-regulated genes and 354 genes and the key pathways leading to the death of different ACC individual patients. Then we used 12 topological analysis methods to found the most possible 22 hub-genes. Among these hub-genes, nine hub-genes (C3, CXCL5, CX3CR1, GRM8, HCAR2, HTR1B, SUCNR1, PTGER3 and SSTR1) could be used to distinguish the death and survival groups for patients. We also revealed that mRNA expressions of 12 genes (C3, CXCL8, CX3CR1, GNAT3, GNGT1, GRM8, HCAR2, HTR1B, HTR1D, PTGER3, SSTR1 and SUCNR1) and four key miRNAs (hsa-mir-330, hsa-mir-489, hsa-mir-508 and hsa-mir-513b) were related to survival. Three most small molecules were identified (H-9, AZ-628 and phensuximide) as potential therapeutic drugs for adrenal cortical carcinoma. Conclusion: The hub-genes expression was significant useful in adrenal cortical carcinoma, provide new diagnostic, prognosis and therapeutic approaches for adrenal cortical carcinoma. Furthermore, we also explore the possible miRNAs involved in regulation of hub-genes.

Adrenocortical Carcinoma Steroid Profiles: In Silico Pan-Cancer Analysis of TCGA Data Uncovers Immunotherapy Targets for Potential Improved Outcomes.

Despite progress in understanding the biology of adrenocortical carcinoma (ACC), treatment options have not dramatically changed in the last three decades, nor have we learned how to avoid some of its long-term side effects. Our goal was to improve the understanding of immune pathways that may include druggable targets to enhance immune responses of patients with ACC, focusing on immune evasion and the activation of immune cells against ACC. Our strategy was aimed at improving insight regarding gene expression without steroid interference. Using approaches based on high and low steroid phenotypes (HSP and LSP, respectively), we characterized immune pathways using The Cancer Genome Atlas (TCGA) ACC cohort data. Although previous studies have suggested that patients with ACC receive minimal benefit from immunotherapy, high expression of immune modulators was noted in patients with LSP, suggesting the activation of these biomarkers may be an important adjuvant therapy target after clearance of excess glucocorticoids. In addition, patients with LSP ACC had higher immune cell infiltration than patients with HSP ACC and other cancer subtypes. Our findings can be summarized as follows (1): we confirmed and improved the definition of two immune response pathways to ACC (HSP and LSP) based on in silico transcriptome analysis (2), we demonstrated the steroid profile should be considered, otherwise analyses of ACC immune characteristics can generate confounding results (3), among the overexpressed immunotherapy targets, we demonstrated that LSP was rich in PDCD1LG2 (PD-L2) and both HSP and LSP overexpressed CD276 (B7-H3), which was associated with resistance to anti-PD1 therapy and may have accounted for the modest results of previous clinical trials, and (4) identification of patients with LSP or HSP ACC can be used to help determine whether immunotherapy should be used. In conclusion, we highlighted the differences between LSP and HSP, drawing attention to potential therapeutic targets (CD276, PDCD1, and PDCD1LG2). Treatments to reduce immune evasion, as well as the use of other natural and pharmacological immune activators, should include prior pharmacological inhibition of steroidogenesis. Attempts to combine these with tumor cell proliferation inhibitors, if they do not affect cells of the immune system, may produce interesting results.

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.

Disparate Practice Patterns and Survival Outcomes: The Impact of Centralization of Cancer Care for Adrenocortical Carcinoma in the United States.

PURPOSE: Adrenocortical carcinoma is a rare but aggressive malignancy. While centralization of care to referral centers improves outcomes across common urological malignancies, there exists a paucity of data for low-incidence cancers. We sought to evaluate differences in practice patterns and overall survival in patients with adrenocortical carcinoma across types of treating facilities. MATERIALS AND METHODS: We identified all patients diagnosed with adrenocortical carcinoma from 2004-2016 in the National Cancer Database. The Kaplan-Meier method was used to evaluate overall survival and multivariable Cox regression analysis was used to investigate independent predictors of overall survival. The chi-square test was used to analyze differences in practice patterns. RESULTS: We identified 2,886 patients with adrenocortical carcinoma. Median overall survival was 21.8 months (95% CI 19.8-23.8). Academic centers had improved overall survival versus community centers on unadjusted Kaplan-Meier analysis (p <0.05) and had higher rates of adrenalectomy or radical en bloc resection (p <0.001), performed more open surgery (p <0.001), administered more systemic therapy (p <0.001) and had lower rates of positive surgical margins (p=0.03). On multivariable analysis, controlling for treatment modality, academic centers were associated with significantly decreased risk of death (HR 0.779, 95% CI 0.631-0.963, p=0.021). CONCLUSIONS: Treatment of adrenocortical carcinoma at an academic center is associated with improved overall survival compared to community programs. There are significant differences in practice patterns, including more aggressive surgical treatment at academic facilities, but the survival benefit persists on multivariable analysis controlling for treatment modality. Further studies are needed to identify the most important predictors of survival in this at-risk population.

Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma.

Background: This paper aims to identify alternative RNA splicing landscape and its prognostic value in adrenocortical carcinoma. Methods: The alternative splicing events data with corresponding clinical information data of 79 ACC patients were obtained from the Cancer Genome Atlas and SpliceSeq package. Prognosis-associated AS events by using univariate Cox regression analysis were selected. Gene functional enrichment analysis demonstrated the potential pathways enriched by survival-associated AS. Prognosis-related splicing events were submitted to develop moderate predictors using Lasso regression model. Results: One thousand five survival-associated alternative splicing events were identified. The prognostic genes included ATXN2L, MEIS1, IKBKB, COX4I1. Functional enrichment analysis suggested that prognostic splicing events are associated with Wnt signaling pathway. A prediction model including 12 alternative splicing events was constructed by Lasso regression using train set. ROC analysis showed good performance of the prediction model in test set. Then, a nomogram integrating the clinical-pathological factors and riskscore was constructed for predicting 1- and 3-year survival rate. Conclusion: Our data provide a comprehensive bioinformatics analysis of AS events in ACC, providing biomarkers for disease progression and a potentially rich source of novel therapeutic targets.