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Zhou, Jihao

0000-0002-2684-192X

Mayo Clinic

Department of Hematology, Shenzhen People's Hospital (The Second Clinical Medical College of Jinan University; The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.

Citations 3

Autologous haematopoietic stem cell transplant consolidation and survival outcomes in primary central nervous system lymphoma: Evidence from the National Cancer Database
Falade, Ayo S , Ogbue, Olisaemeka D, Adeoye, Oluwatayo , Durani, Urshila , Abeykoon, Jithma P , Rosenthal, Allison C, Hilal, Talal , Iqbal, Madiha , Moustafa, Muhamad Alhaj , Chavez, Julio C , Cerhan, James R , Wang, Yucai , Zhou, Jihao

British Journal of Haematology | September 30, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1111/bjh.70861 Get It

Autologous Stem Cell Transplant Consolidation Is Associated With Improved Overall Survival in Angioimmunoblastic T‐Cell Lymphoma: A Real‐World National Cancer Database Study
Tao, Yu , Falade, Ayo , Godby, Richard C., Hwang, Steven R. , Nowakowski, Grzegorz S., Tiger, Yun Kyoung, Bennani, N Nora, Ansell, Stephen M. , Falade, Ayo S , Hwang, Steven R , Durani, Urshila , Ansell, Stephen M , Wang, Yucai , Zhou, Jihao , Li, Huijun, Godby, Richard , Nowakowski, Grzegorz S. , Durani, Urshila , Tiger, Yun Kyoung , Bennani, N. Nora , Wang, Yucai , Zhou, Jihao

Hematological Oncology | July 23, 2026 | Volume: 44 | Issue: 4 | Pages: No page available

10.1002/hon.70222 Get It

ABSTRACT Angioimmunoblastic T‐cell lymphoma (AITL) is an aggressive peripheral T‐cell lymphoma with poor outcomes, and the role of autologous stem cell transplantation (ASCT) as consolidation after frontline therapy remains controversial. We conducted a retrospective cohort study using the National Cancer Database, including adults diagnosed with AITL between 2004 and 2020 who received frontline systemic therapy. Patients were categorized as chemotherapy alone (Chemo) or chemotherapy followed by ASCT (Chemo + ASCT). To mitigate immortal time bias, prespecified landmark analyses were performed, with a 6‐month landmark analysis as the primary approach and a 9‐month landmark analysis as a sensitivity analysis. Multivariable Cox regression and propensity score weighting using inverse probability of treatment weighting for the average treatment effect were used to address measured confounding. Among 3996 patients receiving systemic therapy, 686 (17.2%) underwent ASCT. In the 6‐month landmark analysis, ASCT was associated with improved overall survival (HR, 0.53; 95% CI, 0.45–0.62; p < 0.001). Findings were consistent in the 9‐month landmark analysis (HR, 0.58; 95% CI, 0.49–0.69; p < 0.001) and IPTW‐adjusted model (HR, 0.51; 95% CI, 0.44–0.60; p < 0.001). In this large real‐world cohort, ASCT consolidation was consistently associated with improved survival in patients with AITL. Although treatment‐response data were unavailable and residual confounding cannot be excluded, these findings provide supportive real‐world evidence and warrant prospective studies with treatment‐timing and response data to better define patient selection.
Cell-of-Origin Subtype Predicts Response to Polatuzumab Vedotin in Large B-cell Lymphoma
Cliff, Edward R. Scheffer , Pelaez, Guido D. , Wan, Fei , Iyengar, Varun , Zhou, Jihao , Chung, Kevin , Abdel-Razeq, Nayef , Allen, J. , Major, Ajay , Sharp, John , Gould, Patrick , Houshyar, Samin , Lynch, Ryan C. , Fleyshman, Michelle , Kidwell, Adam , Fenske, Timothy S. , Malakhov, Nikita , Mulvey, Erin , Nowakowski, Grzegorz S. , Torka, Pallawi , Russler‐Germain, David A. , Allen, Jessica , Epperla, Narendranath , Gould, Patrick , Cherng, Hua-Jay J , Houshyar, Samin , Wallace, Danielle S , Lynch, Ryan C , Kallam, Avyakta , Mei, Matthew , Merryman, Reid W , Fleyshman, Michelle , Rhodes, Joanna , Kidwell, Adam , Fenske, Timothy S , Malakhov, Nikita , Mulvey, Erin , Watkins, Marcus , Moustafa, Muhamad Alhaj , Hilal, Talal , Nowakowski, Grzegorz S , Wang, Yucai , Torka, Pallawi , Russler-Germain, David A , Major, Ajay , Sharp, John , Zhou, Jihao , Epperla, Narendranath , Cherng, Hua‐Jay J. , Wallace, Danielle , Kallam, Avyakta , Mei, Matthew , Merryman, Reid W. , Rhodes, Joanna , Watkins, Marcus P. , Moustafa, Muhamad Alhaj , Hilal, Talal , Wang, Yucai

Clinical Cancer Research | October 27, 2025 | Volume: 32 | Issue: 1 | Pages: 159-168

10.1158/1078-0432.ccr-25-2392 Get It

Abstract Purpose: Polatuzumab vedotin (polatuzumab) was approved for up-front treatment of diffuse large B-cell lymphoma in combination with chemoimmunotherapy (Pola-R-CHP) based on the POLARIX trial. However, when stratified by cell of origin (COO), polatuzumab seems to have greater efficacy in activated B-cell than germinal center B-cell (GCB) subtype disease. Most studies of polatuzumab used RNA expression to assess COO, whereas in routine clinical practice, the immunohistochemistry-based Hans algorithm is used. Experimental Design: To assess the impact of COO by immunohistochemistry on polatuzumab efficacy, we conducted a multicenter real-world study of adults with large B-cell lymphoma (LBCL) receiving polatuzumab from 2015 to 2024, split by receipt of polatuzumab in first-line versus relapsed/refractory settings. The primary endpoint was overall response rate (ORR) to polatuzumab-based treatment in GCB versus non-GCB relapsed/refractory LBCL. Results: Of 740 patients, 305 received polatuzumab in the first-line setting and 435 in the relapsed/refractory setting. In the relapsed/refractory cohort, the ORR in non-GCB versus GCB LBCL was 59.7% versus 36.3% [OR, 2.6; 95% confidence interval (CI), 1.77–3.84; P &lt; 0.0001], with a complete response rate of 35.7% versus 17.7% (OR, 2.6; 95% CI, 1.66–4.02; P &lt; 0.0001). Progression-free survival was longer for patients with non-GCB versus GCB COO (HR, 0.64; 95% CI, 0.5–0.83; P = 0.0006). In the first-line cohort, ORR, complete response rate, and progression-free survival were similar in non-GCB versus GCB LBCL, as hypothesized based on outcomes in the Pola-R-CHP arm of POLARIX, suggesting that the addition of polatuzumab overcomes the adverse risk of non-GCB COO in patients receiving R-CHOP. Conclusions: Based on these data, COO classification by the Hans algorithm is a strong predictor of polatuzumab efficacy in LBCL, informing real-world treatment decisions.