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Li, Mengyao

0000-0002-3199-9465

Mayo Clinic

Shanxi Medical University

Citations 3

A Simple Risk-Scoring Model for Estimating the Prognostic Impact of 1q Gain in Patients with Newly-Diagnosed Multiple Myeloma
Jin, Fengyan, Yang, Pei‐Yu , Chen, Haimin , Liang, Xinyue , Xu, Weiling , Yu, Shanshan , Yi, Xingchen, Tian, Mengru, Yue, Tingting , Yan, Yurong, Hu, Zhongli, Kumar, Shaji , Zhou, Fan , Jin, Fengyan , Huang, Wenyang , Guo, Qiang , Yue, Tingting, Li, Mengyao , Zhang, Yingjie , Zhang, Mengxue , Dai, Yun

Blood | November 28, 2022 | Volume: 140 | Issue: Supplement 1 | Pages: 4360-4361

10.1182/blood-2022-168602 Get It

Proposed risk‐scoring model for estimating the prognostic impact of 1q gain in patients with newly diagnosed multiple myeloma
Yang, Pei‐Yu , Chen, Haimin , Liang, Xinyue , Xu, Weiling , Yu, Shanshan , Yi, Xingcheng , Tian, Mengru, Yue, Tingting , Yan, Yurong, Hu, Zhongli, Kumar, Shaji , Zhou, Fan , Dai, Yun , Jin, Fengyan , Kumar, Shaji K , Dai, Yun , Jin, Fengyan , Huang, Wenyang , Guo, Qiang , Yue, Tingting, Li, Mengyao , Zhang, Yingjie , Zhang, Mengxue

American Journal of Hematology | October 30, 2022 | Volume: 98 | Issue: 2 | Pages: 251-263

10.1002/ajh.26774 Get It

Abstract1q gain (+1q) is the most common high‐risk cytogenetic abnormality (HRCA) in patients with multiple myeloma (MM). However, its prognostic value remains unclear in the era of novel agents. Here, we retrospectively analyzed the impact of +1q on the outcomes of 934 patients newly diagnosed with MM. +1q was identified in 53.1% of patients and verified as an independent variate for inferior overall survival (OS) (hazard ratio, 1.400; 95% confidence interval, 1.097–1.787; p = .007). Concurrence of other HRCAs (particularly t(14;16) and del(17p)) further exacerbated the outcomes of patients with +1q, suggesting prognostic heterogeneity. Thus, a risk‐scoring algorithm based on four risk variates (t(14;16), hypercalcemia, ISS III, and high LDH) was developed to estimate the outcomes of patients with +1q. Of the patients, 376 evaluable patients with +1q were re‐stratified into low (31.6%), intermediate (61.7%), and high risk (6.7%) groups, with significantly different progression‐free survival and OS (p < .0001), in association with early relapse of the disease. The prognostic value of this model was validated in the CoMMpass cohort. While attaining undetectable MRD largely circumvented the adverse impact of +1q, it scarcely ameliorated the outcome of the patients with high risk, who likely represent a subset of patients with extremely poor survival. Hence, patients with +1q are a heterogeneous group of high‐risk patients, therefore underlining the necessity for their re‐stratification. The proposed simple risk‐scoring model can estimate the outcomes of patients with +1q, which may help guide risk‐adapted treatment for such patients.
FoxO Transcription Factors Are Critical Regulators of Diabetes-Related Muscle Atrophy
O’Neill, Brian T. , Penniman, Christie M., Krumpoch, Megan, Beltran, Pablo A. Suarez, Klaus, Katherine A. , Poro, Kennedy, Pan, Hui , Klaus, Katherine, Kahn, C Ronald , Bhardwaj, Gourav , Li, Mengyao , Pan, Hui , Dreyfuss, Jonathan M. , Nair, K. Sreekumaran

Diabetes | December 6, 2018 | Volume: 68 | Issue: 3 | Pages: 556-570

10.2337/db18-0416 Get It

Insulin deficiency and uncontrolled diabetes lead to a catabolic state with decreased muscle strength, contributing to disease-related morbidity. FoxO transcription factors are suppressed by insulin and thus are key mediators of insulin action. To study their role in diabetic muscle wasting, we created mice with muscle-specific triple knockout of FoxO1/3/4 and induced diabetes in these M-FoxO-TKO mice with streptozotocin (STZ). Muscle mass and myofiber area were decreased 20–30% in STZ-Diabetes mice due to increased ubiquitin-proteasome degradation and autophagy alterations, characterized by increased LC3-containing vesicles, and elevated levels of phosphorylated ULK1 and LC3-II. Both the muscle loss and markers of increased degradation/autophagy were completely prevented in STZ FoxO-TKO mice. Transcriptomic analyses revealed FoxO-dependent increases in ubiquitin-mediated proteolysis pathways in STZ-Diabetes, including regulation of Fbxo32 (Atrogin1), Trim63 (MuRF1), Bnip3L, and Gabarapl. These same genes were increased 1.4- to 3.3-fold in muscle from humans with type 1 diabetes after short-term insulin deprivation. Thus, FoxO-regulated genes play a rate-limiting role in increased protein degradation and muscle atrophy in insulin-deficient diabetes.