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  • The Hu Laboratory

The Hu Laboratory

picture of Tianxiang Hu, PhD

Tianxiang Hu, PhD

Assistant Professor
Department, Biochemistry & Molecular Biology
The Graduate School
Georgia Cancer Center
Medical College of Georgia
鶹AV

 

Jump to: Research SummaryImpact on Georgia patientsResearch FocusResearch InterestsPublicationsTeam

Contact Us

The Tianxiang Hu Lab

 Health Sciences Campus

1410 Laney Walker Blvd., CN-2132

Lab: CN-2125D2

(706) 721-7849

Lab: (706) 721-5257

tihu@augusta.edu

Faculty Profile

Research Summary

Dr. Tianxiang Hu received his PhD in Developmental Biology from Wuhan University, China. In 2011, he joined the Medical College of Georgia as a postdoctoral fellow studying transcriptional regulation by long non-coding RNA from Human Endogenous Retroviruses in Hematopoiesis. In 2016, he began to work on blood malignancies driven by different chromosome translocations in the Georgia Cancer Center, where he was promoted to Research Scientist and then Assistant Professor. His laboratory uses unique mouse models of Chronic Myeloid Leukemia (CML) carrying BCR-ABL1 (Philadelphia (Ph) chromosome), Acute Myeloid Leukemia (AML) carrying CBFB-MYH11 and FLT3-ITD,  as well as Myeloid/Lymphoid neoplasms with FGFR1 rearrangement (MLN-FGFR1; also known as Stem Cell Leukemia/Lymphoma (SCLL) syndrome), to investigate molecular mechanisms regulating leukemia initiation and progression. His most recent research endeavors focus on investigating the mechanisms underlying immune evasion processes during leukemia progression, with the hope of developing novel cancer therapies based on these new discoveries. 

Map of Georgia, USA, that shows counties and routes. A red push pin is pushed into 鶹AV, Georgia.

Impact on Patients in Georgia

My research focuses on different types of leukemias, a widespread cancer of blood cells whose incidence is on the rise, especially in our senior populations.

Acute myeloid leukemia:  CBFB-MYH11 fusion occurs in 12% of pediatric and 7% of adult AML and defines a distinct subtype of AML with a relatively “favorable” prognosis compared to other AML subtypes. However, the five-year survival rate of those patients is only about 50% and nearly half of the patients become refractory to or relapse after chemotherapy, which is associated with a poor median survival of only 15.6 months. Chronic myeloid leukemia:  BCR-ABL1 CML accounts for 15-20% of all adult leukemia cases in the USA. The invention of Tyrosine Kinase Inhibitors (TKIs) has revolutionized the treatment of CML, derisking it from a deadly disease to a manageable chronic condition. However, only ~40% of patients can achieve Treatment-Free Remission (TFR). Current chemotherapy and targeted therapy using TKIs have been proven not efficient in eliminating Minimal Residual Disease (MRD) and Leukemia Stem cells (LSCs) to prevent relapse, which can be only achieved through restoring the function of immune system. Developing more efficient, less toxic, and immune-based therapies for leukemia is an urgent unmet need in order to improve the survival and quality of life of leukemia patients in Georgia, as well as nationwide. 

Research Focus

  • Mechanisms driving leukemia initiation and progression: AML, CML, SCLL
  • Development of novel immunotherapy for blood cancer 
  • Role of emergency myelopoiesis in cancer immune evasion 
  • Head and neck cancer immune evasion

Research Interests

  • Mechanisms of immune evasion in blood cancer 

My lab performed the very first comprehensive investigation of the mechanisms of immune evasion during CBFB-MYH11 AML progression. Immune profiling confirmed a global immune suppression during leukemia progression by the leukemia cells. Using a combination of bulk and single cell RNA-Seq, CUT&RUN and ChIP-Seq, we further revealed that mechanistically, CBFB-MYH11 directly binds to promoters and activates critical immune suppression genes including TGFβ and PD-L1 in both mouse and human AML cells, which suppress the antitumor immune response to ensure leukemia progression. We also revealed that there was global immunosuppression during CML initiation and progression, which was directly driven by BCR-ABL1 expressing CML cells. On one hand, the BCR-ABL1 oncogene drives the differentiation of leukemia cells toward the neutrophil lineage. On the other hand, the oncogene also transcriptionally activities master immune regulators, including arginase and TGF-β through C/EBPβ. Therefore, combination therapy targeting both leukemia cells and exhausted T cells provides rapid remission and delayed relapse in a preclinical mouse CML model. 

  • Development of novel immunotherapies for leukemia

Our basic mechanism study revealed that CBFB-MYH11 oncogene directly upregulates both TGFB1 and CD274 (encoding PD-L1) to orchestrates this immune evasion process, providing a very strong rationale to a novel dual-targeting strategy of PD-L1/PD-1 and TGFβ for immunotherapy of CBFB-MYH11 AML. Targeting both PD-L1/PD-1 (to reactivate exhausted T cells) and TGFβ (to reverse its broad immunosuppressive effects, including T cell exclusion and suppression) may offer a synergistic strategy. Blocking TGFβ could potentially "prime" the tumor microenvironment, making it more permissive for T cell infiltration and function, thus enhancing the efficacy of PD-1/PD-L1 blockade. Considering the potential that immunotherapy alone may not be sufficient for initial bulk tumor reduction in aggressive diseases like AML, we are also actively evaluating whether combination of chemotherapy (cytarabine) with novel PD-L1/TGFβ dual targeting regents could provide superior disease control and even disease-free survival.  Using the humanized HLA-A*02:01 (A2) transgenic mouse CML model, we have demonstrated that CD8 T cells are responsible for efficient eradication of all BCR-ABL1 expressing leukemia cells in recipient mice after primary CML cell transplantation, using both antibody mediated CD8 T cell depletion and adoptive T cell transfer experiment. Furthermore, rechallenge experiments in CML-inoculated, but leukemia-free mice, revealed that they were completely protected against a new tumor challenge. Importantly, we successfully identified 3 epitopes derived from the BCR-ABL1 oncogene that can be efficiently presented by A2 molecules and confirmed a direct CD8 T cell mediated clearance of Ph+ leukemia cells upon the recognition of the BCR or ABL1 antigens. We are actively cloning and studying the antitumor function of a panel of TCRs with different affinities, hoping to obtain the optimal TCRs to create TCR-Ts of potent antitumor effect with tolerable toxicity that can be used for the treatment of CML and even all Ph+ ALL and AML. 

  • Immune modulation role of neutrophils in cancer & aging

Tumor associated neutrophils (TANs) increase in the microenvironment in response to the presence of tumors and suppress antitumor immunity. Characterization of these TANs, however, has mostly focused on solid tumors. Single cell sequencing of microenvironment cells during the development of leukemias driven by FGFR1 fusion kinases has identified six distinct subgroups of neutrophils but only two, Ly6g and Camk1d expressing neutrophils, show a dramatic increase in response to leukemogenesis. In depth molecular characterization of these leukemia responsive neutrophils revealed unique gene signatures.  Noticeably, the matrix metalloproteinase (MMP) genes, Mmp8 and Mmp9, are upregulated in the Ly6g+ and Camk1d+ neutrophils during leukemia progression. Pharmacological inhibition of MMPs using Ilomastat restricts in vitro migration of TANs and suppresses their mobilization from the bone marrow with a significantly improved survival in vivo. Clinical correlative analysis reveals that MMP8 is an independent indicator for poor prognosis in AML patients and correlates with higher neutrophil infiltration and poor pan-cancer prognosis. MMP inhibition, therefore, suggests a possible therapeutic approach by targeting TAN mobilization and recruitment for both leukemias and solid tumors. In addition, we were able to establish a neutrophil scoring system based on the gene signatures defined from leukemia associated neutrophils, which can independently predict the prognosis of newly diagnosed AML patients. 

View Pure Research Profile

Publication
​

, Fang, X., Mori, S. F. & , May 2026, In: British Journal of Haematology. 208, 5, p. 1564-1571 8 p.

Research output: Contribution to journal › Article › peer-review

​

Zhang, T., Matsunaga, A., Lu, X., Fang, H., Chatterjee, N., Alimadadi, A., Mori, S. F., Fang, X., Wang, G., , Zhang, L., , Cheng, B., & , Oct 2025, In: Cells. 14, 19, 1533.

Research output: Contribution to journal › Article › peer-review

​

Fang, H., Yu, E., Liu, C., Eapen, C., Cheng, C. & , Jun 2025, In: Seminars in Cancer Biology. 111, p. 1-15 15 p.

Research output: Contribution to journal › Review article › peer-review

​

, Cheng, B., Matsunaga, A., Zhang, T., Lu, X., Fang, H., Mori, S. F., Fang, X., Wang, G., , & , Dec 2024, In: Experimental Hematology and Oncology. 13, 1, 49.

Research output: Contribution to journal › Article › peer-review

​

Zhou, T., Wu, J., Khan, A., , Wang, Y., Salama, E. S., Su, S., Han, H., Jin, W. & Li, X., Dec 2024, In: npj Science of Food. 8, 1, 61.

Research output: Contribution to journal › Article › peer-review

​

Zhang, H., Cai, B., Liu, Y., Chong, Y., Matsunaga, A., Mori, S. F., Fang, X., Kitamura, E., Chang, C. S., Wang, P., & , Jan 2023, In: Haematologica. 108, 1, p. 122-134 13 p.

Research output: Contribution to journal › Article › peer-review

​

Cai, B., Liu, Y., Chong, Y., Mori, S. F., Matsunaga, A., Zhang, H., Fang, X., Chang, C. S., & , Dec 2022, In: Molecular cancer. 21, 1, 156.

Research output: Contribution to journal › Article › peer-review

​

Cai, B., Liu, Y., Chong, Y., Zhang, H., Mori, S., Matsunaga, A., Fang, X., & , Oct 2022, In: Clinical Lymphoma, Myeloma and Leukemia. 22, p. S210

Research output: Contribution to journal › Article › peer-review

​

Cai, B., Liu, Y., Chong, Y., Zhang, H., Matsunaga, A., Fang, X., , , & , Dec 2021, In: Molecular cancer. 20, 1, 165.

Research output: Contribution to journal › Article › peer-review

​

& , 2021, In: Cancer Drug Resistance. 4, 3, p. 607-619 13 p.

Research output: Contribution to journal › Review article › peer-review

​

Liu, Y., Cai, B., Chong, Y., Zhang, H., Kemp, C. A., Lu, S., Chang, C. S., Ren, M., & , Oct 1 2020, In: Cell Death and Disease. 11, 10, 884.

Research output: Contribution to journal › Article › peer-review

​

Chong, Y., Liu, Y., Lu, S., Cai, B., Qin, H., Chang, C. S., Ren, M., & , Apr 15 2020, In: International Journal of Cancer. 146, 8, p. 2243-2254 12 p.

Research output: Contribution to journal › Article › peer-review

​

, Chong, Y., Lu, S., McGuinness, M., Williams, D. A. & , Jan 31 2020, In: Haematologica. 105, 2, p. E68-E71

Research output: Contribution to journal › Letter › peer-review

​

, Chang, C. S., , Qin, H., Kitamura, E., Hawthorn, L., Ren, M. & , Dec 2019, In: Genomics. 111, 6, p. 1566-1573 8 p.

Research output: Contribution to journal › Article › peer-review

​

, Chong, Y., Cai, B., Liu, Y., Lu, S. & , Nov 29 2019, In: Journal of Biological Chemistry. 294, 48, p. 18122-18130 9 p.

Research output: Contribution to journal › Article › peer-review

​

, Chong, Y., Lu, S., Qin, H., Ren, M., , Chang, C. S. & , Jan 1 2019, In: Cancer Research. 79, 1, p. 114-124 11 p.

Research output: Contribution to journal › Article › peer-review

​

, Wu, Q., Chong, Y., Qin, H., Poole, C. J., van Riggelen, J., Ren, M. & , Nov 1 2018, In: Leukemia. 32, 11, p. 2363-2373 11 p.

Research output: Contribution to journal › Article › peer-review

​

, Chong, Y., Lu, S., Wang, R., Qin, H., , Kitamura, E., Chang, C. S., Hawthorn, L. A. & , Jul 1 2018, In: Cancer Research. 78, 13, p. 3522-3531 10 p.

Research output: Contribution to journal › Article › peer-review

​

, Chong, Y., Qin, H., Kitamura, E., Chang, C. S., , Ren, M. & , Apr 1 2018, In: Oncogene. 37, 14, p. 1926-1938 13 p.

Research output: Contribution to journal › Article › peer-review

​

, , Ho, M. H., Wang, Y., Yu, M., Patel, N., Pi, W., Choi, J.-H., , Ganapathy, V., Kutlar, F., Kutlar, A. & Tuan Lo, D., Nov 30 2017, In: Haematologica. 102, 12, p. 1995-2004 10 p.

Research output: Contribution to journal › Article › peer-review

​

, Qin, H., , Wu, Q., Bhole, A. & Ren, M., Nov 1 2017, In: International Journal of Cancer. 141, 9, p. 1822-1829 8 p.

Research output: Contribution to journal › Article › peer-review

​

, , Pi, W., Yu, M., & Tuan Lo, D., Mar 4 2017, In: Epigenetics. 12, 3, p. 226-237 12 p.

Research output: Contribution to journal › Article › peer-review

​

, Pi, W., , Yu, M., Ha, H., , Choi, J.-H. & Tuan Lo, D., 2017, In: Nucleic Acids Research. 45, 8, p. 4479-4492 14 p.

Research output: Contribution to journal › Article › peer-review

​

, Yu, M. & Zhao, J., Nov 1 2011, In: PloS one. 6, 10, e27120.

Research output: Contribution to journal › Article › peer-review

​

, Yu, M. & Zhao, J., Feb 2011, In: Frontiers of Biology in China. 6, 1, p. 31-39 9 p.

Research output: Contribution to journal › Review article › peer-review

​

, Yu, M. & Zhao, J., 2010, In: BMC plant biology. 10, p. 167 1 p.

Research output: Contribution to journal › Article › peer-review

.

 

Research Team

photo of Hui Fang

Hui Fang

  • Visiting Scholar

hfang@augusta.edu

photo of Xuexiu Fang

Xuexiu Fang

  • Research Associate

xfang@augusta.edu

photo of Stephanie Mori

Stephanie Mori

  • Research Associate

stmori@augusta.edu

photo of Chang Liu

Chang Liu

  • Exchange Visitor Affiliate

chaliu@augusta.edu

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