Immunohistochemical Approach to Genetic Subtyping of Anaplastic Large Cell Lymphoma.
Immunohistochemical Approach to Genetic Subtyping of Anaplastic Large Cell Lymphoma.
复制标题
免疫组织化学方法是对变类型大细胞淋巴瘤的遗传亚型。
DOI:
10.1097/pas.0000000000001941
复制
发表时间:
2022-11-01
影响因子:
5.6
通讯作者:
Dasari, Surendra
中科院分区:
文献类型:
--
作者:
Feldman, Andrew L.;Oishi, Naoki;Ketterling, Rhett P.;Ansell, Stephen M.;Shi, Min;Dasari, Surendra
Anaplastic large cell lymphoma (ALCL) can be classified genetically based on rearrangements (R) of the ALK, TP63, and/or DUSP22 genes. ALK-R defines a specific entity, ALK-positive ALCL, while DUSP22-R and TP63-R define subgroups of ALK-negative ALCLs with distinct clinicopathologic features. ALK-R and TP63-R produce oncogenic fusion proteins that can be detected by immunohistochemistry. ALK immunohistochemistry is an excellent surrogate for ALK-R and screening with p63 IHC excludes TP63-R in two-thirds of ALCLs. In contrast, DUSP22-R does not produce a fusion protein and its identification requires fluorescence in situ hybridization (FISH). However, DUSP22-R ALCL has a characteristic phenotype including negativity for cytotoxic markers and phospho-STAT3Y705. Recently, we also identified overexpression of the LEF1 transcription factor in DUSP22-R ALCL. Here, we sought to validate this finding and examine models for predicting DUSP22-R using immunohistochemistry for LEF1 and TIA1 or phospho-STAT3Y705. We evaluated these 3 markers in our original discovery cohort (n=45) and in an independent validation cohort (n=46) of ALCLs. The correlation between DUSP22-R and LEF1 expression replicated strongly in the validation cohort (P<0.0001). In addition, we identified and validated a strategy using LEF1 and TIA1 immunohistochemistry that predicted DUSP22-R with positive and negative predictive values of 100% after exclusion of indeterminate cases, and would eliminate the need for FISH in 65% of ALK-negative ALCLs. This approach had similar results in identifying DUSP22-R in the related condition, lymphomatoid papulosis. Together with previous data, these findings support a 4-marker immunohistochemistry algorithm using ALK, LEF1, TIA1, and p63 for genetic subtyping of ALCL.