Abstract 2350: Subtype-specific patterns of peripheral T-cell lymphoma in diverse Asian populations.

Abstract Peripheral T-cell lymphomas (PTCLs) are rare, aggressive non-Hodgkin T-cell lymphomas with a poor prognosis. Black individuals have a higher incidence compared to White individuals, but little is known about incidence rates for specific Asian populations. We obtained average annual age-adjusted incidence rates (AAIR)/100,000 based on the age distribution for the US 2000 Census for PTCL-not otherwise specified (ICD-O-3: 9702), angioimmunoblastic T-cell lymphoma (AITL, 9705), and anaplastic large cell lymphoma (ALCL, 9714) within Asian subpopulations, in addition to rate ratios(RR) comparing racial/ethnic groups with non-Hispanic whites (NHW) as a reference group. Data was obtained from the Surveillance, Epidemiology, and End Results (SEER) 9 registry (1990-2014). The combined-subtype analysis showed no significant difference between Asian-Pacific Islanders overall and NHW (RR 0.94; p=0.0976), but stratified analysis in SEER showed striking differences. Southeast Asians had the highest incidence rates, followed by Filipinos, while Chinese had the lowest incidence rates (Table 1). By subtype, Southeast Asians had the highest incidence rates of PTCL-NOS (0.72/100,000, RR= 2.40, p=0.002, based on 21 cases), followed by Filipinos (0.45/100,000, RR=1.49, p<0.001). Both Filipinos (p=0.0004) and Vietnamese (p=0.05) had higher incidence rates of AITL (0.18/100,000) compared to NHW (0.1/100,000) with RR=1.73. NHW had the highest incidence rates of ALCL (0.23/100,000). Compared to NHW, Chinese, Japanese, and Koreans showed significantly lower ALCL rates (RRs = 0.45-0.57, p < 0.01). These findings highlight distinct subtype-specific PTCL risk patterns across Asian subgroups. Given the low case counts, results should be interpreted cautiously. Disaggregation of Asian subgroups in PTCL subgroups remains essential to identify high-risk groups and improve prognostic accuracy. Citation Format: Xuanxi Kuang, Esther Lam, Mallory P. Bernstein, Nicole Foley, Lauren Pinter-Brown, Megan S. Lim, Wendy Cozen. Subtype-specific patterns of peripheral T-cell lymphoma in diverse Asian populations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2350.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-2350
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2350: Subtype-specific patterns of peripheral T-cell lymphoma in diverse Asian populations.

Mallory Bernstein, Xuanxi Kuang, Megan S. Lim, Wendy Cozen et al.
Cancer Research
Lymphoma Diagnosis and Treatment
article

Abstract 2350: Subtype-specific patterns of peripheral T-cell lymphoma in diverse Asian populations.

Mallory Bernstein, Xuanxi Kuang, Megan S. Lim, Wendy Cozen, Esther Lam, Nicole Foley, Lauren Pinter-Brown
article en

Abstract

Abstract Peripheral T-cell lymphomas (PTCLs) are rare, aggressive non-Hodgkin T-cell lymphomas with a poor prognosis. Black individuals have a higher incidence compared to White individuals, but little is known about incidence rates for specific Asian populations. We obtained average annual age-adjusted incidence rates (AAIR)/100,000 based on the age distribution for the US 2000 Census for PTCL-not otherwise specified (ICD-O-3: 9702), angioimmunoblastic T-cell lymphoma (AITL, 9705), and anaplastic large cell lymphoma (ALCL, 9714) within Asian subpopulations, in addition to rate ratios(RR) comparing racial/ethnic groups with non-Hispanic whites (NHW) as a reference group. Data was obtained from the Surveillance, Epidemiology, and End Results (SEER) 9 registry (1990-2014). The combined-subtype analysis showed no significant difference between Asian-Pacific Islanders overall and NHW (RR 0.94; p=0.0976), but stratified analysis in SEER showed striking differences. Southeast Asians had the highest incidence rates, followed by Filipinos, while Chinese had the lowest incidence rates (Table 1). By subtype, Southeast Asians had the highest incidence rates of PTCL-NOS (0.72/100,000, RR= 2.40, p=0.002, based on 21 cases), followed by Filipinos (0.45/100,000, RR=1.49, p<0.001). Both Filipinos (p=0.0004) and Vietnamese (p=0.05) had higher incidence rates of AITL (0.18/100,000) compared to NHW (0.1/100,000) with RR=1.73. NHW had the highest incidence rates of ALCL (0.23/100,000). Compared to NHW, Chinese, Japanese, and Koreans showed significantly lower ALCL rates (RRs = 0.45-0.57, p < 0.01). These findings highlight distinct subtype-specific PTCL risk patterns across Asian subgroups. Given the low case counts, results should be interpreted cautiously. Disaggregation of Asian subgroups in PTCL subgroups remains essential to identify high-risk groups and improve prognostic accuracy. Citation Format: Xuanxi Kuang, Esther Lam, Mallory P. Bernstein, Nicole Foley, Lauren Pinter-Brown, Megan S. Lim, Wendy Cozen. Subtype-specific patterns of peripheral T-cell lymphoma in diverse Asian populations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2350.

Cancer ResearchVol. 86(7_Supplement)
Memorial Sloan Kettering Cancer Center (US), University of California, Irvine (US), Florida Department of Health in Orange County (US), Kettering University (US)
No poverty
Openalex Percentile: Top 31%
Lymphoma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.