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Hwang, Tae Hyun

0000-0002-6668-7269

Mayo Clinic

Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, Florida.

Citations 2

ACTA2 Expression Predicts Survival and Is Associated with Response to Immune Checkpoint Inhibitors in Gastric Cancer
Park, Sunho , Karalis, John D. , Hong, Changjin , Clemenceau, Jean R. , Kim, In‐Ho , Lee, Sung Hak , Wang, Sam C. , Cheong, Jae‐Ho , Hwang, Tae Hyun , Porembka, Matthew R , Kim, In-Ho , Lee, Sung Hak , Wang, Sam C , Cheong, Jae-Ho , Hwang, Tae Hyun

Clinical Cancer Research | December 12, 2022 | Volume: 29 | Issue: 6 | Pages: 1077-1085

10.1158/1078-0432.ccr-22-1897 Get It

Abstract Purpose: We sought to identify biomarkers that predict overall survival (OS) and response to immune checkpoint inhibitors (ICI) for patients with gastric cancer. Experimental Design: This was a retrospective study of multiple independent cohorts of patients with gastric cancer. The association between tumor ACTA2 expression and OS and ICI response were determined in patients whose tumors were analyzed with bulk mRNA sequencing. Single-cell RNA sequencing (scRNA-seq) and digital spatial profiling data were used to compare tumors from patients with gastric cancer who did and did not respond to ICI. Results: Increasing tumor ACTA2 expression was independently associated with worse OS in a 567-patient discovery cohort [HR, 1.28 per unit increase; 95% confidence interval (CI), 1.02–1.62]. This finding was validated in three independent cohorts (n = 974; HR, 1.52 per unit increase; 95% CI, 1.34–1.73). Of the 108 patients treated with ICI, 56% of patients with low ACTA2 expression responded to ICI versus 25% of patients with high ACTA2 expression (P = 0.004). In an analysis of a publicly available scRNA-seq dataset of 5 microsatellite instability-high patients treated with ICI, the patient who responded to ICI had lower tumor stromal ACTA2 expression than the 4 nonresponders. Digital spatial profiling of tumor samples from 4 ICI responders and 5 ICI nonresponders revealed that responders may have lower ACTA2 expression in α-SMA–positive cancer-associated fibroblasts (CAF) than nonresponders (median: 5.00 vs. 5.50). Conclusions: ACTA2 expression is associated with survival and ICI response in patients with gastric cancer. ACTA2 expression in CAFs, but not in other cellular compartments, appears to be associated with ICI response.
Sequential Single-Cell Transcriptional and Protein Marker Profiling Reveals TIGIT as a Marker of CD19 CAR-T Cell Dysfunction in Patients with Non-Hodgkin Lymphoma
Jackson, Zachary , Schauner, Robert , Dropulić, Boro, Lima, Marcos de , Giraudo, Maria Florencia , Gupta, Kalpana , Reese, Jane , Hwang, Tae Hyun , Wald, David N., Hong, Changjin , Schauner, Robert , Dropulic, Boro , de Lima, Marcos , Giraudo, Maria Florencia , Hwang, Tae Hyun , Wald, David N , Caimi, Paolo F. , Gupta, Kalpana

Cancer Discovery | May 12, 2022 | Volume: 12 | Issue: 8 | Pages: 1886-1903

10.1158/2159-8290.cd-21-1586 Get It

Abstract Chimeric antigen receptor T-cell (CAR-T cell) therapy directed at CD19 produces durable remissions in the treatment of relapsed/refractory non-Hodgkin lymphoma (NHL). Nonetheless, many patients receiving CD19 CAR-T cells fail to respond for unknown reasons. To reveal changes in 4-1BB–based CD19 CAR-T cells and identify biomarkers of response, we used single-cell RNA sequencing and protein surface marker profiling of patient CAR-T cells pre- and postinfusion into patients with NHL. At the transcriptional and protein levels, we note the evolution of CAR-T cells toward a nonproliferative, highly differentiated, and exhausted state, with an enriched exhaustion profile in CAR-T cells of patients with poor response marked by TIGIT expression. Utilizing in vitro and in vivo studies, we demonstrate that TIGIT blockade alone improves the antitumor function of CAR-T cells. Altogether, we provide evidence of CAR-T cell dysfunction marked by TIGIT expression driving a poor response in patients with NHL. Significance: This is the first study investigating the mechanisms linked to CAR-T patient responses based on the sequential analysis of manufactured and infused CAR-T cells using single-cell RNA and protein expression data. Furthermore, our findings are the first to demonstrate an improvement of CAR-T cell efficacy with TIGIT inhibition alone. This article is highlighted in the In This Issue feature, p. 1825