Characterizing Outcomes in Visceral Cutaneous T-Cell Lymphoma: A Single Center Retrospective Study

INTRODUCTION

Visceral involvement of cutaneous T-cell lymphoma (vCTCL) is a rare but poorly studied complication of CTCL. We aimed to assess clinical characteristics, treatment, and outcomes, associated with vCTCL at our institution.

METHODS

We conducted a retrospective review of patients with vCTCL among patients with a confirmed histopathologic diagnosis of CTCL seen at the Winship Cancer Institute in Emory University. vCTCL was defined as a highest TNMB stage of 4B with extracutaneous metastatic disease (M1) pathologically confirmed or strongly clinically suspected based on imaging, symptoms, and the clinical judgment of the treating physician. Patients were selected from our CTCL database containing 656 patients from 1990 to 2022. Clinical characteristics were characterized. Clinical outcomes were measured as overall survival (OS) and progression-free survival (PFS) using Kaplan-Meier curve and univariable Cox regression analysis.

RESULTS

Twenty-six of 656 patients with vCTCL were identified. 42.3% of patients were black. Twenty-two patients were diagnosed with MF/SS and 4 had other CTCL subtypes including pcALCL, Gamma-Delta, and Cytotoxic T-Cell Lymphoma. The median PFS and OS were 7.3 months (3.8, 11) and 12.1 months (9.9, 18.2), respectively. Median time to metastasis from initial diagnosis was 12.1 months. The most common M1 sites were liver (19.2%) and lung (42.3%). M1 sites outside of liver or lung were associated with inferior OS (HR 8.9, 95%CI: 2.7-29.5, P-value <.001) and PFS (HR 4.3, 95%CI: 1.44-12.7, P-value = .009). No treatments or baseline factors were associated with improved survival.

CONCLUSION

Our retrospective study confirms therapy resistance and dismal outcomes among patients with vCTCL.

Disparities in Cutaneous T-Cell Lymphoma Incidence by Race/Ethnicity and Area-Based Socioeconomic Status

Cutaneous T-cell lymphoma (CTCL) is a rare type of extranodal non-Hodgkin lymphoma (NHL). This study uses population-based data from the New Jersey (NJ) State Cancer Registry to examine geographic variation in CTCL incidence and evaluates whether CTCL risk varies by race/ethnicity and census tract socioeconomic status (SES). The study included 1163 cases diagnosed in NJ between 2006 and 2014. Geographic variation and possible clustering of high CTCL rates were assessed using Bayesian geo-additive models. The associations between CTCL risk and race/ethnicity and census tract SES, measured as median household income, were examined using Poisson regression. CTCL incidence varied across NJ, but there were no statistically significant geographic clusters. After adjustment for age, sex, and race/ethnicity, the relative risk (RR) of CTCL was significantly higher (RR = 1.47, 95% confidence interval: 1.22-1.78) in the highest income quartile than in the lowest. The interactions between race/ethnicity and SES indicated that the income gradients by RR were evident in all groups. Compared to non-Hispanic White individuals in low-income tracts, CTCL risk was higher among non-Hispanic White individuals in high-income tracts and among non-Hispanic Black individuals in tracts of all income levels. Our findings suggest racial disparities and a strong socioeconomic gradient with higher CTCL risk among cases living in census tracts with higher income compared to those living in lower-income tracts.

Geographic clustering of cutaneous T-cell lymphoma in New Jersey: an exploratory analysis using residential histories

PURPOSE

Cutaneous T-cell lymphoma (CTCL) is a rare type of non-Hodgkin lymphoma. Previous studies have reported geographic clustering of CTCL based on the residence at the time of diagnosis. We explore geographic clustering of CTCL using both the residence at the time of diagnosis and past residences using data from the New Jersey State Cancer Registry.

METHODS

CTCL cases (n = 1,163) diagnosed between 2006-2014 were matched to colon cancer controls (n = 17,049) on sex, age, race/ethnicity, and birth year. Jacquez's Q-Statistic was used to identify temporal clustering of cases compared to controls. Geographic clustering was assessed using the Bernoulli-based scan-statistic to compare cases to controls, and the Poisson-based scan-statisic to compare the observed number of cases to the number expected based on the general population. Significant clusters (p < 0.05) were mapped, and standard incidence ratios (SIR) reported. We adjusted for diagnosis year, sex, and age.

RESULTS

The Q-statistic identified significant temporal clustering of cases based on past residences in the study area from 1992 to 2002. A cluster was detected in 1992 in Bergen County in northern New Jersey based on the Bernoulli (1992 SIR 1.84) and Poisson (1992 SIR 1.86) scan-statistics. Using the Poisson scan-statistic with the diagnosis location, we found evidence of an elevated risk in this same area, but the results were not statistically significant.

CONCLUSION

There is evidence of geographic clustering of CTCL cases in New Jersey based on past residences. Additional studies are necessary to understand the possible reasons for the excess of CTCL cases living in this specific area some 8-14 years prior to diagnosis.