Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality

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.

Validated predictive model for treatment and prognosis of adrenocortical carcinoma

BACKGROUND

Adrenocortical carcinoma has a poor prognosis and multiple clinical, pathological, and treatment variables. Currently, we lack a prognostic and treatment calculator to determine the survival and efficacy of adjuvant chemoradiation. We aimed to validate a calculator to assess prognosis and treatment.

METHODS

We searched the National Cancer Database to identify patients with adrenocortical carcinoma surgically treated from 2004 to 2020 and randomly allocated them into a training (80%) or validation set (20%). We analyzed the variables of age; sex; Charlson Comorbidity Index; insurance status; tumor size; pathologic tumor, node, and metastasis categories; surgical margins; and use of chemotherapy and radiation therapy. We used Cox regression prediction models and bootstrap coefficients to generate a mathematical model to predict 5- and 10-year overall survival. After using the area under the curve analysis to assess the model's performance, we compared overall survival in the training and validation sets.

RESULTS

Multivariable analysis of the 3,480 patients included in the study revealed that all variables were significant except sex (P < .05) and incorporated into a mathematical model. The area under the curve for 5- and 10-year overall survival was 0.68 and 0.70, respectively, for the training set and 0.70 and 0.72, respectively, for the validation set. For the bootstrap coefficients, the 5- and 10-year overall survival was 6.4% and 4.1%, respectively, above the observed mean.

CONCLUSION

Our model predicts the overall survival of patients with adrenocortical carcinoma based on clinical, pathologic, and treatment variables and can assist in individualizing treatment.

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).

Adrenocortical Carcinoma

Adrenocortical carcinoma (ACC) is an extremely rare disease, the incidence of which is 0 [...].

Adrenocortical Carcinoma: Updates of Clinical and Pathological Features after Renewed World Health Organisation Classification and Pathology Staging

Adrenocortical carcinoma (ACC) is a heterogenous group of diseases with different clinical behaviour between adult and paediatric patients. In addition, three histological variants, oncocytic, myxoid and sarcomatoid are noted on the recent World Health Organisation (WHO) classification of ACC. A review of recent literature showed that the different types of ACC have distinctive demographic data, clinical presentation, pathology, biological behaviour, genomic and patients' prognosis. In addition, recent updates of pathology staging for ACC allow refinement of prognostic grouping for planning treatment of the patients with ACC. These advances in genomic, pathology and staging have driven the development of standardisation of pathology reporting. International standardisation of pathological reporting of adrenocortical carcinoma and adaption to local pathology communities provide universal platforms for clinicians and researchers involved in the management of patients with ACC. To conclude, all these advances in the field of pathology will improve development of management strategies including improvement of clinical care, development of prognostic markers and testing of novel therapeutic approaches for patients with adrenocortical carcinoma.