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951 citation(s) found for "Zhu, Mo".

Immune Checkpoint Inhibitors for Mismatch Repair–Deficient Gastroesophageal Adenocarcinoma: Outcomes and Feasibility of Nonoperative Management at Mayo Clinic
Sahwan, Oudai , Jamal, Fares , Pai, Rish K. , Eslinger, Cody , McCue, Shaylene , Borad, Mitesh J. , Zhu, Mojun , Pai, Priya K. , Xie, Hao , McWilliams, Robert R. , Wasif, Nabil , Starr, Jason S. , Yoon, Harry H. , Ahn, Daniel H. , Pai, R K , Borad, Mitesh J , Pai, Priya , McWilliams, Robert R , Tran, Nguyen , Grotz, Travis E , Ou, Fang-Shu , Wasif, Nabil , Starr, Jason S , Bekaii-Saab, Tanios S , Wu, Christina , Yoon, Harry H , Ahn, Daniel H , Sonbol, Mohamad B , Xie, Hao , Sahwan, Oudai , Jamal, Fares , Tran, Nguyen H. , Grotz, Travis E. , Ou, Fang‐Shu , Bekaii‐Saab, Tanios , Wu, Christina , Sonbol, Mohamad Bassam

Mayo Clinic

JCO Precision Oncology | November 20, 2025 | Volume: No volume available | Issue: 9 | Pages: No page available

10.1200/po-25-00492 | PMID 41264897 Get It

PURPOSE Neoadjuvant immune checkpoint inhibitors (nICIs) have demonstrated high response rates in deficient mismatch repair/microsatellite instability–high (dMMR/MSI-H) gastroesophageal adenocarcinoma (GEA). The NEONIPIGA and INFINITY trials demonstrated high rates of pathologic complete response (pCR) in this patient population. Furthermore, the INFINITY trial explored the feasibility of managing these patients nonoperatively, demonstrating promising results. This study aimed to evaluate clinical outcomes of nICIs in resectable dMMR/MSI-H GEA, with a focus on the feasibility of nonoperative management (NOM). MATERIALS AND METHODS This retrospective cohort study included patients with resectable dMMR/MSI-H GEA and treated with nICIs ± surgery at the Mayo Clinic. Patients were identified from institutional records, and clinical data were retrospectively reviewed. Primary outcomes were clinical complete response (cCR) and pCR. Secondary outcomes included event-free survival (EFS), radiologic complete response (rCR), and immune-related adverse events (irAEs). RESULTS A total of 26 patients treated between April 1, 2017, and July 30, 2025, were identified. Nine patients (34.6%) underwent surgery, of whom six (66.7%) achieved pCR. Seventeen patients (65.4%) pursued NOM, with 10 (71.4%) of 14 evaluable patients achieving cCR and 14 (82.4%) of 17 evaluable achieving rCR. One patient who initially achieved cCR had a local recurrence on surveillance endoscopy and underwent salvage endoscopic resection. At a median follow-up of 19.3 months, 15 (88.2%) of 17 patients in the NOM cohort were alive and metastasis-free, with EFS rates of 87.3% at 12 and 24 months for all patients. irAEs occurred in nine patients (34.6%), with no grade ≥3 toxicities. CONCLUSION In this retrospective cohort study, nICIs led to high cCR and pCR rates in resectable dMMR/MSI-H GEA, supporting the use of immune checkpoint inhibitors in this setting and the feasibility of NOM in select patients.
Robust Principal Component Analysis with Truncated Weighted Nuclear Norm and Adaptive Histogram Equalization: A Novel Method for Low-Quality Retinal Image Enhancement
Likassa, Habte Tadesse , Zhu, Wenhui , Dumitrascu, Oana M. , Sun, Dayu , Chen, Ding‐Geng , Chen, Kewei , Wang, Yalin

Mayo Clinic

Statistics and Data Science in Imaging | November 20, 2025 | Volume: 2 | Issue: 1 | Pages: No page available

10.1080/29979676.2025.2538438 Get It

Intraperitoneal metastasis of gastric cancer: new insights on resident macrophages
Yu, Xianzhe , Zhu, Ling‐Ling , Zhu, Lingling, Wang, Leibo

Mayo Clinic

International Journal of Surgery | November 14, 2025 | Volume: 112 | Issue: 2 | Pages: 4547-4562

10.1097/js9.0000000000003944 | PMID 41233166 Get It

Peritoneal metastasis (PM) is a common and lethal complication of gastric cancer (GC), occurring in approximately 50% of patients with advanced disease. It is characterized by a highly immunosuppressive microenvironment and limited response to current systemic therapies, resulting in a median survival of only 3–6 months. The objective of this review was to explore the critical role of resident macrophages within the peritoneal immune microenvironment in the development and progression of GC PM and to discuss their potential as therapeutic targets. Peritoneal resident macrophages (PRMs), particularly the GATA6⁺ large peritoneal macrophages (LPMs), are hijacked by GC cells through metabolic reprogramming, transcriptional regulation, and paracrine signaling. These macrophages adopt a protumor M2-like phenotype, promote immunosuppression through T-cell exclusion and Treg recruitment, facilitate cancer cell adhesion and spheroid formation, and contribute to chemotherapy resistance. Emerging therapeutic strategies, including cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (HIPEC), nanoparticle-mediated macrophage repolarization, CSF-1 R/CCR2 axis inhibition, and chimeric antigen receptor macrophages (CAR-M), show promise in targeting these cells to restore antitumor immunity. In conclusion, resident macrophages are pivotal in shaping the immunosuppressive landscape of GC PM. Targeting these cells represents a promising avenue for novel combination therapies aimed at improving outcomes for patients with GC PM.
MOTS-c Pretreatment Ameliorates the Cardioprotective Effects of Mesenchymal Stem/Stromal Cells Harvested from Patients with Obesity
Yoon, Se-Hee , Lü, Bo , Li, Xing , Zhu, Xiang, Lerman, Amir, Lerman, Lilach O. , Zhang, Lei , Tang, Hui Jun , Kumagai, Hiroshi , Miller, Brendan , Eirin, Alfonso , Lerman, Amir , Cohen, Pinchas

Mayo Clinic

Journal of the American Society of Nephrology | November 10, 2025 | Volume: 36 | Issue: 10S | Pages: No page available

10.1681/asn.20257sdt3xp9 Get It

Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
Jeon, Dae-Seong , Zhu, Lijing , Li, Haifang , Li, Pengze , Feng, Jingna , Duan, Tiehang , Song, Houbing , Tao, Cui , Niu, Shuteng , Jeon, Dong Hyun , Song, Houbing Herbert , Tao, Cui , Niu, Shuteng , Zhu, Lijing

Mayo Clinic

Proceedings of the 34th ACM International Conference on Information and Knowledge Management | November 7, 2025 | Volume: No volume available | Issue: No issue available | Pages: 1035-1045

10.1145/3746252.3761282 | PMID 41940015 Get It

Meeting Report: Inaugural Introduction to Clinical Research for Academic Anesthesiologists Course
Rolfzen, Megan L. , Li, Fei , Zhu, Alyssa C. , Daxon, Benjamin T. , Walpole, Joseph , Li, Flora, Singla, Priyanka

Mayo Clinic

A&A Practice | November 7, 2025 | Volume: 19 | Issue: 11 | Pages: e02087

10.1213/xaa.0000000000002087 | PMID 41201303 Get It

The first Introduction to Clinical Research for Academic Anesthesiologists (ICRAA) Course took place from July 2024 through April 2025 via online interactive lectures. The 9-month course provided participants with the skills necessary to ethically design research proposals and conduct research projects. Some of the core principles taught included basics of biostatistics, ways to effectively communicate ideas to data analysts, how to write a grant, and tips on writing and analyzing scientific articles. In this report, we summarize the motivation, describe the content, and provide future directions for this initiative, which aims to foster high-quality clinical research among the next generation of academic anesthesiologists.
PolyPEPI1018 Cancer Vaccine and TAS-102 for Patients With Advanced, Chemo-Refractory, Microsatellite-Stable Metastatic Colorectal Cancer: A Phase Ib Nonrandomized Study
Hubbard, Joleen M. , Zemla, Tyler , Zhu, Mojun , Graham, Rondell P. , Jin, Zhaohui , Mitchell, Jessica L. , Novo, Elise, Végh, Éva, Lőrincz, Orsolya , Csiszovszki, Zsolt , Kremlitzka, Mariann , Youssoufian, Hagop , Tőke, Enikő R. , Graham, Rondell P , Hubbard, Joleen , Jin, Zhaohui , Zemla, Tyler J , Somogyi, Eszter , Molnár, Levente , Tóth, József

Mayo Clinic

JCO Oncology Advances | November 5, 2025 | Volume: No volume available | Issue: 2 | Pages: No page available

10.1200/oa-25-00108 Get It

PURPOSE Immunotherapy has demonstrated limited efficacy in the treatment of microsatellite-stable (MSS) metastatic colorectal cancer (mCRC) to date. We evaluated whether an off-the-shelf, multipeptide vaccine, PolyPEPI1018, in conjunction with standard chemotherapy can induce broad antitumor immune responses, potentially improving disease control in refractory mCRC. PATIENTS AND METHODS This single-arm, open-label study enrolled adults with MSS mCRC who had progressed after ≤2 previous lines of therapy for metastatic disease. PolyPEPI1018 was administered subcutaneously to four anatomical sites on days 1 and 15 and TAS-102 orally twice a day on days 1-5 and 8-12 of a 28-day cycle. Patients were treated for seven cycles or until disease progression. The primary end point was safety. Secondary end points were overall response rate, progression-free survival (PFS), overall survival (OS), and immune and genetic correlates. RESULTS Fifteen patients were enrolled; 80% had liver metastases and 67% had KRAS mutations. Adverse events (AEs) related to PolyPEPI1018 were grade 1 and 2 local skin reactions (n = 14). Grade 3 AEs (n = 15) at least possibly related to treatment were fatigue, decreased lymphocyte and neutrophil counts, and diarrhea. None had objective tumor response; the disease control rate was 53.3%. The median PFS (mPFS) was 4.0 (95% CI, 2.2 to 6.1) months and the median OS (mOS) was 8.7 (95% CI, 6.4 to 15.2) months. In post hoc subgroup analyses, patients without active liver metastasis had improved mPFS of 9.7 months and mOS of 14.8 months. In addition, patients who were predicted to have broader immune responses to vaccine based on human leukocyte antigen genotype had longer mOS (10.3 v 4.6 months, hazard ratio, 0.29 [95% CI, 0.07 to 1.17]). CONCLUSION The addition of PolyPEPI1018 to TAS-102 was safe and induced immunological responses that were associated with improved clinical outcomes. Further investigation of this chemo-immunotherapeutic is warranted.
Semaglutide and diabetic retinopathy: an OHDSI network study
Cai, Cindy X. , Hribar, Michelle R. , Wang, Sophia Y. , Swaminathan, Swarup S. , Flowers, Alexis , Brown, Eric N. , Chen, John J. , Chen, Aiyin , Alshammari, Thamir , Falconer, Thomas , Martin, Benjamin , Westlund, Erik , Mathioudakis, Nestoras , Fan, Ruochong, Stocking, Jacqueline C. , Humes, Izabelle, McCoy, David , Adibuzzaman, Mohammad, Areaux, Raymond G. , Brash, James T., Morgan‐Cooper, Hannah, Desai, Priya , Rustam, Zainab, Zhu, Gu , Swerdel, Joel N. , Suchard, Marc A. , Ryan, Patrick , Cai, Cindy Xinji , Barkmeier, Andrew, Stocking, Jacqueline C , Chen, John J , Mathioudakis, Nestoras N , Nishimura, Akihiko, Baxter, Sally L. , Goetz, Kerry , Toy, Brian C. , Barkmeier, Andrew J. , Xu, Benjamin Yixing , Leng, Theodore , Boland, Michael V. , Bu, Fan , Martin, Benjamin, Zhang, Linying , Fan, Ruochong, Wilcox, Adam B , Lai, Albert M. , Xie, Yangyiran , Lee, Lok Hin , Dorr, David A , Weiskopf, Nicole G. , Desai, Priya, Tran, Diep D. , Rustam, Zainab, Sena, Anthony G. , Nagy, Paul G. , Schuemie, Martijn J. , Hripcsak, George

Mayo Clinic

BMJ Open Diabetes Research & Care | November 5, 2025 | Volume: 13 | Issue: 6 | Pages: e005424

10.1136/bmjdrc-2025-005424 | PMID 41192935 Get It

Introduction Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA) used to treat type 2 diabetes mellitus (T2D), has potential associations with higher rates of diabetic retinopathy (DR) complications including proliferative DR (PDR) and diabetic macular edema (DME). The purpose of this study was to determine whether an association exists between semaglutide and PDR and treatment-requiring DR/DME. Research design and methods This was a retrospective cohort study of 14 databases (six administrative claims and eight electronic health records) in the Observational Health Data Sciences and Informatics Evidence Network. Adults with T2D on semaglutide, other GLP-1RA (dulaglutide, exenatide), or non-GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from 1 December 2017 to 31 December 2023 were included. The association between semaglutide and PDR or treatment-requiring DR/DME was assessed using an active-comparator cohort design comparing new users of semaglutide as second-line T2D treatment to those on other GLP-1RAs and non-GLP-1RAs. Propensity score-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs). Network-wide HR estimates were generated using a random-effects meta-analysis. Results The study included 810 390 new semaglutide users for T2D. PDR risk for semaglutide was similar to dulaglutide (HR 0.81, 95% CI 0.42 to 1.54, p=0.51), empagliflozin (HR 0.83, 95% CI 0.53 to 1.30, p=0.41) and sitagliptin (HR 0.83, 95% CI 0.45 to 1.55, p=0.57) but was lower than glipizide (HR 0.59, 95% CI 0.39 to 0.88, p=0.01). The risk for treatment-requiring DR/DME for semaglutide was similar to empagliflozin (HR 0.66, 95% CI 0.43 to 1.02, p=0.06) but lower than dulaglutide (HR 0.53, 95% CI 0.31 to 0.91, p=0.02), sitagliptin (HR 0.46, 95% CI 0.26 to 0.81, p=0.008) and glipizide (HR 0.55, 95% CI 0.33 to 0.91, p=0.02). Conclusions and relevance We did not identify increased risk for either PDR or treatment-requiring DR/DME comparing semaglutide with other GLP-1RAs or non-GLP-1RAs. Patients with T2D should still undergo close eye care follow-up, particularly when initiating new antihyperglycemic medications.
398 Real-time discovery of neoantigen-specific TCR clonotypes reveals variable CD8+ T cell functional states in patients with KRAS-mutant colorectal cancer
Zhang, Wenjing , Zhu, Mojun , Dong, Haidong

Mayo Clinic

Regular and Young Investigator Award Abstracts | November 5, 2025 | Volume: No volume available | Issue: No issue available | Pages: A451-A451

10.1136/jitc-2025-sitc2025.0398 Get It

Artificial Clinic Intelligence (ACI): A Generative AI-Powered Modeling Platform to Optimize Patient Cohort Enrichment and Clinical Trial Optimization
Ung, Choong-Yong, Zhang, Z M , Caya, Carter, Zhu, Shizhen , Billadeau, Daniel D. , Zhang, Zhuofei, Zhu, Shizhen , Correia, Cristina , Caya, Carter, Li, Hu

Mayo Clinic

Cancers | November 3, 2025 | Volume: 17 | Issue: 21 | Pages: 3543

10.3390/cancers17213543 | PMID 41228335 Get It

Clinical trial enrichment is the targeted recruitment of prospective individual patients with defined clinical characteristics who are likely to benefit from newly developed or repurposed drugs. This process is central to the success of clinical trials together with patient management and regulatory compliance. A main challenge in clinical trial enrichment lies in the recognition of a priori clinical parameters and information that informs drug efficacy or toxicity, particularly when intended for a broader unseen population. Although Artificial Intelligence (AI) approaches, especially large language models (LLMs), have been employed in many aspects of clinical trials, to our knowledge, there is no AI method that has been developed which offers a prospective prediction and assesses the extent to which a given therapeutic intervention benefits an unseen population. Here, we offer an outlook on how to build Artificial Clinic Intelligence (ACI), a generative AI (GAI)-powered modeling platform for modeling clinical trial enrichment. ACI generates synthetic patient data and models clinical trial enrichment to inform clinicians on key clinical parameters that are enriched in prospective patients prior to accrual.