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Ma, Tao

https://orcid.org/0000-0003-3848-8438

Mayo Clinic

Mayo Clinic Health System

Citations 3

Immunoediting restricts clonal neoantigens in primary human tumors 2606
Borden, Elizabeth S. , Hughes, Alysia , Ma, Tao , Mangold, Aaron R. , Gutenkunst, Ryan N. , LaFleur, Bonnie , Buetow, Kenneth H. , Mangold, A R , Castellano, David , Li, Xing , Wilson, Melissa Ann , Hastings, Karen Taraszka

The Journal of Immunology | November 21, 2025 | Volume: 214 | Issue: Supplement_1 | Pages: No page available

10.1093/jimmun/vkaf283.507 Get It

Abstract Description Evidence consistent with immunoediting in human cancer has been identified through associative studies. To provide direct evidence that differences in the neoantigen profile are immune-mediated, we compared the neoantigen profiles of cutaneous squamous cell carcinoma (cSCC) from immunocompetent and immunosuppressed patients. Despite consistency in the overall mutational burden and signature, immunocompetent patients have a lower clonal mutational burden compared to immunosuppressed patients. Furthermore, clonal mutations in cSCC from immunocompetent patients have a lower proportion of neoantigens predicted to bind MHC class I, supporting the role of the immune system in shaping the neoantigen profile. In single-cell RNA sequencing of intratumoral CD8+ T cells from a separate cohort of cSCC from immunocompetent and immunosuppressed patients, we observe an increase in exhausted CD8+ T cells in tumors from immunocompetent patients, suggesting an explanation for the persistence of binding neoantigens subclonally. Finally, we compare clonal and subclonal neoantigens as an unbiased screen for characteristics associated with neoantigen immunogenicity. Neoantigens with a large increase in predicted MHC class I binding relative to the normal peptide are enriched in subclonal neoantigens in immunocompetent patients. Overall, this work supports the immune system’s role in sculpting the neoantigen profile of cSCC. Funding Sources Supported by American Cancer Society - Simone Charitable Foundation - Discovery Boost Grant, AZ-DBG-23-1151311-01-IBCD; NIH F30CA281056; R35GM149235 Topic Categories Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)
Examining two hematologic precursors and their impact on incident lymphoid malignancies.
Franke, E.G., Achenbach, Sara J., O’Brien, Daniel R. , Ma, Tao , Call, Timothy G. , Hoel, Mingma , Hampel, Paul J. , Hanson, Curtis A. , Vachon, Celine M. , Boddicker, Nicholas , Waller, Rosalie G. , Rabe, Kari G. , Olson, Janet E. , Norman, Aaron D. , Braggio, Esteban , Cerhan, James R. , Vachon, Celine M. , Parikh, Sameer A. , Shanafelt, Tait D. , Slager, Susan L.

Journal of Clinical Oncology | June 28, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 7011-7011

10.1200/jco.2024.42.16_suppl.7011 Get It

7011 Background: Monoclonal B-cell lymphocytosis (MBL) is a precursor to chronic lymphocytic leukemia (CLL) but also a risk factor for other lymphoid malignancies. Clonal hematopoiesis (CH), originally defined as the presence of mutations in myeloid driver genes, is a precursor to myeloid malignancies. Recently, CH that includes genes associated with lymphoid malignancies has been reportedly associated with risk of lymphoid malignancies, and particularly CLL. Little is known about the association between CH and MBL and their joint effects on risk of hematological malignancies (HM). Methods: Study participants were from the Mayo Clinic Biobank, a large-scale biorepository of patients who provided a peripheral blood sample. CH at enrollment was determined using whole-exome sequencing (50x coverage). Myeloid-CH (M-CH) was based on mutations located in 56 genes associated with myeloid malignancies. Lymphoid-CH (L-CH) was based on 235 genes associated with lymphoid malignancies. Individuals were screened for MBL using eight-color flow cytometry in two different cohorts of Biobank participants. Cohort 1 (N=3883) included participants who had available sample for MBL screening at enrollment. Cohort 2 (N=5684) were participants recontacted to provide a sample for MBL screening. Incident HM were identified using ICD codes and confirmed via medical record review. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Cox regression was used to estimate hazard ratios (HR), with time defined as date between MBL sample and the first of incident HM, death, or 9/30/2023. Analyses were adjusted for age at MBL screening and sex. Results: In total, 9567 individuals (39% male, median age 66 years) were screened for MBL with available CH, of whom 17% were positive for MBL, 7% were positive for M-CH, and 2% were positive for L-CH. We found no evidence of an association between M-CH and MBL (OR=1.11, 95% CI:0.91-1.34) nor L-CH and MBL (OR=1.05, 95% CI:0.70-1.55). When subset to Cohort 1, where the same sample was used for both CH and MBL screening, the results held (M-CH OR=1.11, 95% CI: 0.83-1.48; L-CH OR=0.82, 95% CI:0.40-1.53). Next, we investigated the effect of each of these precursors with incident HM. Median follow-up was 4 years, and 78 individuals developed incident HM (31 myeloid, 49 lymphoid overall, 8 CLL). When modeling both precursors, both L-CH (HR=6.23, 95% CI:2.46-15.79) and MBL (HR=3.89, 95% CI:2.17-6.99) were independently associated with incident lymphoid malignancy. When excluding CLL events, the association held (L-CH: HR=5.94, 95% CI:2.11-16.77; MBL: HR=2.95, 95% CI:1.54-5.66). Only M-CH was significantly associated with incident myeloid malignancies. Conclusions: In the largest cohort with MBL and CH precursors measured, we found no evidence of an association between them. However, both MBL and L-CH were strong independent risk factors for incident lymphoid malignancies.
Tumor mutational load is prognostic for progression to therapy among high-count monoclonal B-cell lymphocytosis
Kleinstern, Geffen , Boddicker, Nicholas , O’Brien, Daniel R. , Allmer, Cristine, Rabe, Kari G. , Waller, Rosalie G. , Yan, Huihuang , Ma, Tao , Call, Timothy G. , Bruins, Laura A., Brown, Sochilt , Campos, Cecília Bonolo de , Hanson, Curtis A. , Leis, José F., Ding, Wei , Vachon, Celine M. , Oakes, Christopher C. , Parker, Alexander S. , Brander, Danielle M. , Weinberg, J. Brice , Furman, Richard R. , Shanafelt, Tait D. , Griffin, R. L. , Boddicker, Nicholas J , Waller, Rosalie G , Bruins, Laura, Bonolo de Campos, Cecilia, Vachon, Celine M. , Kay, Neil E , Cerhan, James R , Parikh, Sameer A , Braggio, Esteban , Slager, Susan L , Chaffee, Kari G. , Ding, Wei , Shanafelt, Tait D , Griffin, Rosalie , Norman, Aaron D. , Kay, Neil E. , Cerhan, James R. , Parikh, Sameer A. , Braggio, Esteban , Slager, Susan L.

Blood Advances | February 15, 2024 | Volume: 8 | Issue: 9 | Pages: 2118-2129

10.1182/bloodadvances.2023012242 Get It

Abstract High-count monoclonal B-cell lymphocytosis (HCMBL) is a precursor condition to chronic lymphocytic leukemia (CLL). We have shown that among individuals with HCMBL, the CLL-International Prognostic Index (CLL-IPI) is prognostic for time-to-first therapy (TTFT). Little is known about the prognostic impact of somatically mutated genes among individuals with HCMBL. We sequenced DNA from 371 individuals with HCMBL using a targeted sequencing panel of 59 recurrently mutated genes in CLL to identify high-impact mutations. We compared the sequencing results with that of our treatment-naïve CLL cohort (N = 855) and used Cox regression to estimate hazard ratios and 95% confidence intervals (CIs) for associations with TTFT. The frequencies of any mutated genes were lower in HCMBL (52%) than CLL (70%). At 10 years, 37% of individuals with HCMBL with any mutated gene had progressed requiring treatment compared with 10% among individuals with HCMBL with no mutations; this led to 5.4-fold shorter TTFT (95% CI, 2.6-11.0) among HCMBL with any mutated gene vs none, independent of CLL-IPI. When considering individuals with low risk of progression according to CLL-IPI, those with HCMBL with any mutations had 4.3-fold shorter TTFT (95% CI, 1.6-11.8) vs those with none. Finally, when considering both CLL-IPI and any mutated gene status, we observed individuals with HCMBL who were high risk for both prognostic factors had worse prognosis than patients with low-risk CLL (ie, 5-year progression rate of 32% vs 21%, respectively). Among HCMBL, the frequency of somatically mutated genes at diagnosis is lower than that of CLL. Accounting for both the number of mutated genes and CLL-IPI can identify individuals with HCMBL with more aggressive clinical course.