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Updated: Oct 28, 2025

A Novel Method: Super-selective Adrenal Venous Sampling
Published on: September 15, 2017
Clinical and Histopathological Variables and Prognostic Factors of Adrenocortical Carcinoma
Sara Sohail1, Umal Azmat1, Shehryar Khawaja2
1Endocrinology and Diabetes, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.
Abstract:
Adrenocortical carcinoma (ACC) is a rare and highly aggressive tumor with a poor prognosis. The literature on prognosis from low-income or low-middle-income countries is limited and scarce. This study aimed to determine the clinical and histopathological characteristics, recurrence-free survival (RFS), overall survival (OS), and the factors affecting ACC's prognosis. This was a retrospective study of patients that presented with ACC to the Shaukat Khanum Memorial Cancer & Research Center, Lahore, Pakistan, between January 2011 and May 2018. Information regarding demographics and clinical and histopathological variables were extracted and analyzed. Of the 25 subjects, 16 (64%) were female. The median age of the sample was 35 years (range; 21 - 72 years). Statistically significant associations were found between RFS and functional status of the tumor (p = 0.014), cortisol overproduction (p = 0.02), androgen excess (testosterone [p = 0.03] and dehydroepiandrosterone sulfate [DHEA SO4] [p = 0.004]), Ki-67 score (p = 0.03), mitotic rate (p = 0.02), stratified mitotic rate (p = 0.01), and composite variable of disease (p = 0.004). The OS was found to have statistical associations with cortisol hypersecretion (p = 0.02), DHEA SO4 excess (p = 0.01), Modified Weis Score (p < 0.001), mitotic rate (p = 0.02), stratified mitotic rate (p = 0.003), and composite variable of disease (p = 0.001). Linear regression (forward-type) analysis suggested that the functional status of the tumor and the disease recurrence index statistically predicted the variance in RFS and OS, respectively. Multiple clinical and histopathological variables appear to affect the prognosis of ACC. However, based on multivariable analysis, it appears that the functional status of the tumor and the composite variable of disease recurrence are predictors of RFS and OS, respectively.
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