
Assistant Professor
Cell Biology & Anatomy, MCG
Georgia Cancer Center
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The Meng Wang Lab
Health Sciences Campus
GCC - M. Bert Storey Research Building
1410 Laney-Walker Blvd., CN-2153
(706) 721-1755
Meng Wang, PhD obtained his Ph.D. in Genetics from the Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, and subsequently completed postdoctoral training at the Harvard T.H. Chan School of Public Health and the University of California, San Francisco. His primary research focus is on uncovering the molecular basis of cancer development. Wang’s work has identified genes that are probable novel drivers of acral and mucosal melanomas and demonstrated that the evolutionary trajectory of acral melanoma differs markedly from that of melanomas arising in sun-exposed skin. In addition, he has experience in studying the role of ribosomal RNA gene (rDNA) arrays in aging and tumorigenesis, as well as broader topics in genomics, including alternative mRNA splicing.

Our research seeks to understand the molecular basis of aggressive cancers, including melanoma and sarcoma, with direct relevance to patients in Georgia and the broader Southeast.
Many patients in rural areas face delays in diagnosis and limited access to specialized care, and outcomes can also vary across racial and ethnic backgrounds.
By studying specimens from patients treated at local hospitals and surrounding communities and applying advanced multi-omics approaches, we aim to identify genetic drivers and biomarkers that may support earlier detection, more precise diagnosis, and improved treatment selection.
Over the next decade, these efforts may contribute to more personalized care, reduced disparities across both geographic and racial groups, and better outcomes for patients across Georgia.
Early evolution & spatial architecture of rare melanoma subtypes
Acral and mucosal melanomas are biologically distinct from cutaneous melanomas, exhibiting unique patterns of early evolution, spatial heterogeneity, and genomic complexity. A striking feature of these rare melanoma subtypes is the frequent presence of complex genomic aberrations, which we termed “hailstorms”, which often amplifies multiple oncogenes, such as TERT, CCND1, GAB2, CDK4 and CRKL, at very early stages of tumorigenesis (Wang et al, Nature Communications, 2024). Notably, such alterations can be detected in morphologically normal-appearing melanocytes, or “field cells,” which clonally expand across large areas of skin before visible tumor formation. We also found that early clonal divergence is common in acral melanoma, with highly distinct subclones coexisting within the primary tumor. To dissect the basis of this early evolution and clonal heterogeneity, we are applying an integrated approach that combines multi-regional sequencing with spatial transcriptomics approaches. Through this work, we aim to gain new insights into the earliest steps of melanoma development.
The genomic & evolutionary differences of melanoma & other cancers across populations
Understanding how the cancer genomic landscape varies across populations is critical for developing tailored therapeutic strategies. In melanoma, mutational processes such as UV-induced DNA damage are well characterized in White patients. However, alternative mechanisms may play larger roles in other populations, where environmental exposures and underlying genomic contexts differ. To address this, we are investigating the genetic differences of cutaneous melanomas in patients from non-White backgrounds. This work seeks to comprehensively characterize genomic alterations in cutaneous melanoma from diverse patient populations, with the long-term goal of generating a genomic framework that better reflects patient diversity and supports efforts to address disparities in outcomes. Beyond melanoma, we are broadly interested in applying these approaches to other cancer types to uncover shared and distinct evolutionary principles.
Other directions in cancer & human genomics
We are also broadly interested in applying computational approaches to study cancer genomics. One area of interest is investigating how repetitive DNA elements, such as microsatellites, telomeric repeats, and rDNA arrays, are maintained or destabilized during cancer progression, and how their disruption contributes to genome-wide instability, tumor evolution, and therapeutic vulnerability. To address this, we combine analyses of public datasets with newly generated short- and long-read whole-genome sequencing data, enabling a comprehensive assessment of repeat element dynamics in cancer.


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