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Adrenocortical carcinomas (ACC) are aggressive and resistant to medical treatment. This study reports a single-nucleus transcriptome atlas of steroid and microenvironment cells in 38 human normal adrenals and adrenocortical tumors. We identify intermediate-state cells between glomerulosa and fasciculata, a transition state in the centripetal trans-differentiation of normal steroid cells. In tumors, steroid cells show expression programs reflecting this zonation. Although ACC microenvironment is scarce, its signatures combine with those of steroid cells into ecotypes. A first ecotype combines cancer-associated fibroblasts, tumor-associated endothelial cells, with hypoxia and mitosis signatures in steroid cells. Another ecotype combines exhausted T cells, with fasciculata steroid signature. These ecotypes are associated with poor survival. Conversely, a third ecotype combines inflammatory macrophages, with reticularis steroid signature, and better outcome. These steroid/microenvironment cells interplays improve outcome predictions and may open therapeutic options in aggressive ACC, through immune microenvironment activation by modulating glucocorticoids/androgens balance. Adrenocortical carcinomas (ACC) are aggressive and often resistant to therapy. Here, the authors provide a single-nucleus transcriptomic atlas of ACCs and normal adrenal glands, finding ecotypes in steroid and microenvironment cells that are associated with clinical outcomes.

Abstract Context Novel tumor markers are urgently needed to better stratify adrenocortical cancer (ACC) patients and improve therapies for this aggressive neoplasm. Objective To assess the diagnostic and prognostic value of the actin-bundling protein fascin-1 (FSCN1) in adrenocortical tumors. Design, Setting and Participants A local series of 37 malignant/37 benign adrenocortical tumors at Careggi University Hospital and two independent validation ACC cohorts (Cochin, TCGA) from the European Network for the Study of Adrenal Tumors were studied. Main Outcome Measures FSCN1 expression was quantified by immunohistochemistry, Western blot and quantitative RT-PCR in ACC specimens; overall and disease-free survival associated with FSCN1 expression were assessed by Kaplan-Meier analysis and compared with that of Ki67 labeling index and tumor stage. Results Despite the low diagnostic power, in the Florence ACC series, FSCN1 immunohistochemical detection appeared as an independent prognostic factor, also refining results obtained with staging and Ki67 labeling index. The robust prognostic power of FSCN1 levels was further confirmed in two independent ACC cohorts. A positive correlation was found between FSCN1 and steroidogenic factor-1 (SF-1), with a substantially higher expression of both factors in ACCs at advanced stages and with at least one of the three Weiss score parameters associated with invasiveness. Moreover, we demonstrated FSCN1 role in promoting cell invasion in a human ACC cell line only in the case of increased SF-1 dosage. Conclusions These findings show that FSCN1 is a novel independent prognostic marker in ACC and may serve as a potential therapeutic target to block tumor spread. Tumor invasion markers are needed to better stratify adrenocortical cancer. We demonstrate the robust independent prognostic power of fascin-1 in three independent adrenocortical cancer cohorts.

Metabolic interplay between the tumor microenvironment and cancer cells is a potential target for novel anti-cancer approaches. Among stromal components, adipocytes and adipose precursors have been shown to actively participate in tumor progression in several solid malignancies. In adrenocortical carcinoma (ACC), a rare endocrine neoplasia with a poor prognosis, cancer cells often infiltrate the fat mass surrounding the adrenal organ, enabling possible crosstalk with the adipose cells. Here, by using an in vitro co-culture system, we show that the interaction between adipose-derived stem cells (ASCs) and the adrenocortical cancer cell line H295R leads to metabolic and functional reprogramming of both cell types: cancer cells limit differentiation and increase proliferation of ASCs, which in turn support tumor growth and invasion. This effect associates with a shift from the paracrine cancer-promoting IGF2 axis towards an ASC-associated leptin axis, along with a shift in the SDF-1 axis towards CXCR7 expression in H295R cells. In conclusion, our findings suggest that adipose precursors, as pivotal components of the ACC microenvironment, promote cancer cell reprogramming and invasion, opening new perspectives for the development of more effective therapeutic approaches.

COVID-19 is associated with heterogeneous outcome. Early identification of a severe progression of the disease is essential to properly manage the patients and improve their outcome. Biomarkers reflecting an increased inflammatory response, as well as individual features including advanced age, male gender, and pre-existing comorbidities, are risk factors of severe COVID-19. Yet, these features show limited accuracy for outcome prediction. The aim was to evaluate the prognostic value of whole blood transcriptome at an early stage of the disease. Blood transcriptome of patients with mild pneumonia was profiled. Patients with subsequent severe COVID-19 were compared to those with favourable outcome, and a molecular predictor based on gene expression was built. Unsupervised classification discriminated patients who would later develop a COVID-19-related severe pneumonia. The corresponding gene expression signature reflected the immune response to the viral infection dominated by a prominent type I interferon, with IFI27 among the most over-expressed genes. A 48-genes transcriptome signature predicting the risk of severe COVID-19 was built on a training cohort, then validated on an external independent cohort, showing an accuracy of 81% for predicting severe outcome. These results identify an early transcriptome signature of severe COVID-19 pneumonia, with a possible relevance to improve COVID-19 patient management.

Adrenocortical carcinoma (ACC), a rare and aggressive neoplasia, presents poor prognosis when metastatic at diagnosis and limited therapies are available. Specific and sensitive markers for early diagnosis and a monitoring system of therapy and tumor evolution are urgently needed. The liquid biopsy represents a source of tumor material within a minimally invasive blood draw that allows the recovery of circulating tumor cells (CTCs). CTCs have been recently shown to be detectable in ACC. In the present paper, we evaluated the prognostic value of CTCs obtained by size-filtration in a small pilot cohort of 19 ACC patients. We found CTCs in 68% of pre-surgery and in 38% of post-surgery blood samples. In addition, CTC clusters (CTMs) and cancer associated macrophages (CAMLs) were detectable in some ACC patients. The median number of CTCs significantly decreased after the mass removal. Finally, stratifying patients in high and low pre-surgery CTC number groups, assuming the 75th percentile CTC value as cut-off, CTCs significantly predicted patients’ overall survival (log rank = 0.005), also in a multivariate analysis adjusted for age and tumor stage. In conclusion, though preliminary and performed in a small cohort of patients, our study suggests that CTC number may represent a promising marker for prognosis and disease monitoring in ACC.

Background Arterial hypertension represents a worldwide health burden and a major risk factor for cardiovascular morbidity and mortality. Hypertension can be primary (primary hypertension, PHT), or secondary to endocrine disorders (endocrine hypertension, EHT), such as Cushing's syndrome (CS), primary aldosteronism (PA), and pheochromocytoma/paraganglioma (PPGL). Diagnosis of EHT is currently based on hormone assays. Efficient detection remains challenging, but is crucial to properly orientate patients for diagnostic confirmation and specific treatment. More accurate biomarkers would help in the diagnostic pathway. We hypothesized that each type of endocrine hypertension could be associated with a specific blood DNA methylation signature, which could be used for disease discrimination. To identify such markers, we aimed at exploring the methylome profiles in a cohort of 255 patients with hypertension, either PHT ( n  = 42) or EHT ( n  = 213), and at identifying specific discriminating signatures using machine learning approaches. Results Unsupervised classification of samples showed discrimination of PHT from EHT. CS patients clustered separately from all other patients, whereas PA and PPGL showed an overall overlap. Global methylation was decreased in the CS group compared to PHT. Supervised comparison with PHT identified differentially methylated CpG sites for each type of endocrine hypertension, showing a diffuse genomic location. Among the most differentially methylated genes, FKBP5 was identified in the CS group. Using four different machine learning methods—Lasso (Least Absolute Shrinkage and Selection Operator), Logistic Regression, Random Forest, and Support Vector Machine—predictive models for each type of endocrine hypertension were built on training cohorts (80% of samples for each hypertension type) and estimated on validation cohorts (20% of samples for each hypertension type). Balanced accuracies ranged from 0.55 to 0.74 for predicting EHT, 0.85 to 0.95 for predicting CS, 0.66 to 0.88 for predicting PA, and 0.70 to 0.83 for predicting PPGL. Conclusions The blood DNA methylome can discriminate endocrine hypertension, with methylation signatures for each type of endocrine disorder.

Introduction Primary Bilateral Macronodular Adrenal Hyperplasia (PBMAH) is a heterogeneous disease characterized by bilateral adrenal macronodules responsible for adrenal Cushing. To date, two genetic causes of PBMAH are known: germline inactivating variants of the tumor suppressor genes ARMC5 identified in 2013 (Assié, N Eng J Med 2013), responsible for 20 to 25% of index cases, and KDM1A, identified recently (Vaczlavik, GIM 2021; Chasseloup, Lancet D&E 2021), responsible for the rare presentation associated with food-dependent Cushing's syndrome (FDCS) due to aberrant expression of the GIP receptor (GIPR) in adrenocortical cells. Multiple other illegitimate receptors are known to be responsible for abnormal cortisol response to various physiological stimuli in PBMAH. A recent multiomic analysis, identified three distinct molecular PBMAH groups: G1 with ARMC5-mutated tumors, G2 with KDM1A-mutated tumors from FDCS patients, and G3 with no identified genetic cause at present. We aimed to identify specific expression profiles of illegitimate receptors in the three groups. Methods Based on the transcriptome data obtained by RNA sequencing (Illumina) of the tumors from 31 patients (G1/ARMC5, 16 patients; G2/KDM1A, 6 patients; G3, 9 patients), expression of the following genes, encoding potential illegitimate receptors, were compared: ADRA1A, ADRA1B, ADRA1D, ADRA2A, ADRA2B, ADRA2C, ADRB1, ADRB2, ADRB3, AVPR1A, AVPR1B, AVPR2, GCGR, GIPR, HTR4, HTR7, LHCGR. Calculations were performed using R statistical software. The Bioconductor limma package was used to analyze mRNA differential expression. Results G1/ARMC5 tumors showed a relative overexpression of the vasopressin receptors AVPR1A and AVPR1B compared to the two other groups (fold-change [FC] =7.39, p<0.001 and 3.98, p<0.001, respectively) but a lower expression of AVPR2 (FC=0.43, p=0.015). G2/KDM1A tumors showed a dramatic overexpression of GIPR compared to the two other groups (FC=105.02, p<0.001) but also of the adrenergic receptors ADRA1D and ADRA2A (FC=2.93, p=0.027 and 9.99, p<0.001, respectively) and of the LH/hCG receptor (LHCGR) (FC=12.20, p<0.001). G3 tumors showed a slight overexpression of the adrenergic receptor ADRA1B (FC=3.49, p=0.001) and in few tumors ADRA1D, AVPR2 and LHCGR were highly expressed suggesting molecular heterogeneity in G3. Conclusion This study reveals specific expression profiles of illegitimate receptors related to the three molecular groups. ARMC5 tumors are associated with the overexpression of two vasopressin receptors, while, besides GIPR, KDM1A inactivation seems to drive the overexpression of the LH/hCG receptor, as previously suggested in patients with FDCS (Bertherat, JCE&M 2005), potentially responsible for Cushing's syndrome associated with pregnancy and menopause. These molecular patterns need to be corroborated by clinical data with a systematic testing of the aberrant cortisol responses. Additionally, further studies would be needed to investigate the clinical relevance and significance of moderate fold-changes in gene expression (e.g. <4). Presentation: Saturday, June 11, 2022 12:00 p.m. - 12:15 p.m.

Pituitary adenomas are now called neuroendocrine tumors (PitNETs). Histological type, secretion, invasion and growth speed vary. A World Health Organization (WHO) histo-prognostic classification was released in 2017. Pituitary tumorigenesis is largely unexplained. Rare germline mutations (MENIN, AIP), and common somatic mutations in GNAS and USP8 are reported. Recently, genomic analyses have been reported. Yet, driver genes and pathways remain to be fully identified, as well as a comprehensive view of omics in the different subtypes of PitNETs Aim: To provide a genomic unbiased classification of PitNETs Methods: A clinical, histological and genomic characterization of 134 PitNETs of all subtypes was performed, combining exome, RNA and miRNA sequencing, SNP array and methylation array. Unsupervised classifications were generated. Results: Median somatic mutation rate was 95, mainly C>T belonging to “signature 1” signature. No difference was observed between histo-types. Only GNAS and USP8 presented >5% mutations. Three chromosome alteration profiles were identified: extended losses, “quiet” profiles, and extended gains. Gonadotroph and silent corticotroph were mainly “quiet”. Chromosomal alterations were not related to aggressiveness. MiRnome and methylome were associated with PitNETs histological type and secretion (chi2 p <10-18). Especially, PitNETs from Pit1 lineage (lacto-, thyreo- and somatotroph) showed diffuse DNA hypomethylation. Hypomethylation was correlated with genomic instability (correlation coef: 0.4) Unsupervised transcriptome classification revealed 6 groups, associated with histotype and secretion (chi2 p<10-59), with four noticeable discrepancies compared to WHO2017 classification: « null-cells » were mixed with gonadotroph PitNETs ; silent corticotroph fell apart from overt Cushing PitNETs; 5/8 sparsely granulated somatotroph were grouped with thyreotroph and PIT1 plurihormonal PitNETs; lactotroph were distinct from mixed GH-PRL and somatotroph PitNETs. USP8 and GNAS mutations formed specific homogeneous subgroups. Silent corticotroph and gonadotroph shared a common gonadotroph signature. Conclusion: This genomic study unravels important new aspects of PitNETs biology. Mainly: - DNA hypomethylation and chromosomal instability of PitNETs of the Pit1 lineage, suggesting that Pit1 differentiation may induce chromatin opening, with subsequent genome instability. - A specific molecular signature of sparsely granulated somatotroph PitNETs, which may help to better understand and predict resistance to somatostatin analogues. - Silent corticotroph PitNETs combine corticotroph and gonadotroph differentiation signatures. This genomic classification of PitNETs supports the importance of pituitary lineage in pituitary tumorigenesis, and proposes a first robust and unbiased classification based on tumor biology. Unless otherwise noted, all abstracts presented at ENDO are embargoed until the date and time of presentation. For oral presentations, the abstracts are embargoed until the session begins. Abstracts presented at a news conference are embargoed until the date and time of the news conference. The Endocrine Society reserves the right to lift the embargo on specific abstracts that are selected for promotion prior to or during ENDO.