Characterization of sociodemographic and clinicopathological features and associated outcomes of patients (Pts) with anal squamous cell cancer (ASCC): Analysis of 44,084 pts in the National Cancer Database (NCDB)

• Published in: Journal of clinical oncology Vol. 38; no. 15_suppl; p. 4052
• Main Authors: Young, Joanna Alyse, Trufan, Sally Jeanne, Worrilow, William Mills, Musselwhite, Laura W., Nazemzadeh, Reza, Kadakia, Kunal C., Chai, Seungjean, Salmon, John Stuart, Hwang, Jimmy J., Kim, Edward S., Raghavan, Derek, Salem, Mohamed E.
• Format: Journal Article
• Language: English
• Published: 20.05.2020
• ISSN: 0732-183X; 1527-7755
• DOI: 10.1200/JCO.2020.38.15_suppl.4052

Abstract only 4052 Background: ASCC incidence is rising. There are limited data on the relationships between sociodemographic & clinicopathological features and outcomes of ASCC pts. Methods: Pts diagnosed with ASCC between 2004 and 2016 were retrospectively reviewed. Data obtained from the NCDB were used to examine the impact of sociodemographic status on clinicopathological features and outcomes. Pts were categorized based on low (median < $38,000) or high (≥$68,000) income and low ( > 21% with no high school diploma) or high ( < 7% with no high school diploma) education areas based on zip code at time of diagnosis. Logistic regression and chi-square were used to examine differences between groups. Results: In total, 44,084 pts with ASCC were identified: median age, 59 yrs, 86% white; 11% black; 64% female. Most pts (84%) resided in metro areas; 29.7% vs 19.8% lived in high vs low income areas; 22.9% vs 17.8% lived in high vs low education areas. Seven percent were uninsured, 50% had government (Gov), and 43% had private insurance. Male gender (HR 1.62, CI 1.41-1.85, p < 0.001), low income area (HR 1.28, CI 1.19-1.37, p = 0.014), and insurance status (Gov, HR 1.55, CI 1.32-1.82, p < 0.001 and uninsured, HR 1.37, CI 1.37-1.85, p = 0.039) were associated with a higher risk of death. After adjusting for age, sex, race, stage, grade, insurance status, and comorbidity, pts from low income/education (n = 6695) vs high income/education (n = 4316) areas had a 33 % increased risk of death (HR: 1.33, p < 0.001). Pts with stage IV ASCC in the low income/education (n = 227) vs high income/education (n = 295) groups had worse overall survival (mOS, 1.4 vs 1.9 yrs, p < 0.020). Of the 44,084 pts, 5461 (12.4%) had confirmed HPV status. Of these, 2658 (48.7%) were HPV+ (high risk subtypes) and 2803 (51.3%) were HPV-. Compared to the HPV- pts, HPV+ pts were more likely to be women (71.8% vs 67.8%, p = 0.001), have stage 3 (38.1% vs 33.6%) or 4 (7.9% vs 5.9%, p < 0.001) cancer, and have poorly differentiated (29.5% vs 25.6%, p < 0.001) tumors. There were no significant differences in race, education, income, metro area, insurance status, or comorbidity between the HPV+ and HPV- pts. Moreover, HPV status did not impact OS (HR 0.92, CI 0.81-1.04, p = 0.195). Conclusions: HPV status was not correlated to income, education or insurance status, and did not impact OS in ASCC pts. Male gender and insurance status were associated with increased risk of death. Pts living in low income and low education areas were associated with worse survival.