Investigator

Linghua Wang

Professor · The University of Texas MD Anderson Cancer Center, Genomic Medicine

LWLinghua Wang
Papers(2)
Surgical and Blood-Ba…PPP2R1A mutations por…
Collaborators(10)
Anil K. SoodJennifer A. WargoManoj ChelvanambiShannon N. WestinAmir A. JazaeriMinetta C. LiuMinghao DangMitsutake YanoOu ShiPamela T. Soliman
Institutions(4)
The University Of Tex…The University of Tex…Mayo ClinicThe University of Tex…

Papers

Surgical and Blood-Based Minimal Residual Disease in Patients with Ovarian Cancer after First-line Therapy: Clinical Outcomes and Translational Opportunities

Abstract Purpose: Minimal residual disease (MRD) after first-line treatment of advanced-stage ovarian cancer remains a long-standing barrier to cure. We investigated the prognostic and translational value of MRD detection by second-look laparoscopy (SLL) and ctDNA at the completion of first-line therapy. Experimental Design: Patients with high-grade epithelial ovarian cancer who had a complete clinical response to first-line therapy and underwent SLL and plasma collection for ctDNA were included. Progression-free survival (PFS) and overall survival (OS) were estimated based on MRD and clinicopathologic status. Spatial transcriptomics (GeoMx and Visium) and proteomics (CODEX) profiling were performed on serial samples from select patients. Results: Forty of 95 (42.1%) patients had surgically detected MRD, which was associated with worse PFS (median PFS 7.4 vs. 23.8 months; P < 0.001) and OS (median OS 33.9 vs. not reached; P < 0.001). SLL positivity was an independent negative prognostic factor for OS (HR, 4.40; 95% confidence interval, 1.37–14.21; P = 0.013) in multivariable analysis. Among 44 patients who underwent SLL and had ctDNA testing, 34% (15/44) were ctDNA-positive, which was associated with worse PFS (6.4 vs. 28.1 months; P < 0.001) and OS (32.4 months vs. not reached; P = 0.008). We demonstrated the feasibility of spatial multiomics in studying MRD and their ability to provide hypothesis-generating observations, implicating the upregulation of the hypoxia signaling pathway, expression of multiple druggable targets (CDK6, GLS, MSLN, ERBB2), and immune exclusion in MRD lesions. Conclusions: Approximately half of patients in clinical remission after first-line therapy have assessable MRD, which can inform prognosis, therapeutic target discovery, and clinical trials.

153Works
2Papers
59Collaborators

Positions

2025–

Professor

The University of Texas MD Anderson Cancer Center · Genomic Medicine

2024–

Associate Member

The University of Texas MD Anderson Cancer Center · The James P. Allison Institute

2024–

Co-Lead (Focus Area 2)

The University of Texas MD Anderson Cancer Center · Institute for Data Science in Oncology

2019–

Regular Member

The University of Texas MD Anderson Cancer Center · The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences

2022–

Associate Professor

The University of Texas MD Anderson Cancer Center · Genomic Medicine

2017–

Assistant Professor

The University of Texas MD Anderson Cancer Center · Genomic Medicine

2015–

Research Assistant Professor

Baylor College of Medicine · Molecular and Human Genetics

2014–

Instructor

Baylor College of Medicine · Molecular and Human Genetics

2012–

Postdoctoral Associate

Baylor College of Medicine · Molecular and Human Genetics

Education

2011

Ph.D. (Cancer Genomics)

The University of Tokyo · Research Center for Advanced Science and Technology

2006

Master's Degree (Ophthalmology)

Sun Yat-sen University Zhongshan School of Medicine · Medicine

2003

M.D.

Shandong First Medical University & Shandong Academy of Medical Sciences · Clinical Medicine

Keywords
Spatial BiologySpatial Multi-OmicsAI PathologyTranslational GenomicsTumor MicroenvironmentSpatial Cell Organization and InteractionsSingle Cell Computational BiologyTumor Cell Heterogeneity and PlasticityTumor EcosystemsImmunotherapy ResistanceImmune EvasionComputational Immuno-Oncology