Biology subjects

Sudha, P.

Publications and source records attributed to Sudha, P..

3 recordsLinked to original sources

bioRxiv2026

Genomic characterization of patient derived xenograft models of multiple myeloma reveals selection of multiple pre-existing high risk clones

Multiple myeloma (MM) is a genomically complex malignancy of terminally differentiated plasma cells. Here, we have utilized the SCID-rab patient derived xenograft (PDX) model as a platform to expand scarce primary MM samples across disease stages and major cytogenetic subgroups for comprehensive molecular analysis. The model generated abundant CD138+ cells while retaining key genomic, transcriptomic and proteomic features of corresponding patient tumors. Compared with human myeloma cell lines, PDX cells more closely resembled primary MM in proliferative state and expression of therapeutically relevant targets. WGS and single cell WGS showed that PDXs arose from the selection of pre-existing subclones, including clones harboring high-risk alterations and convergent mechanisms of tumor suppressor inactivation. These findings establish SCID-rab PDX models as a platform for multiomic profiling, studies of clonal evolution, and determining therapeutic response in MM.

cancer biology↗

bioRxiv2025

Utilizing Genomics to Identify Novel Immunotherapeutic Targets in Multiple Myeloma High-Risk Subgroups

Immunotherapy is now standard of care for multiple myeloma, where the most common targets are B cell maturation antigen, CD38, and G protein-coupled receptor class C group 5 member D but strategies to identify additional targets are needed. We have utilized two large datasets of genomic data and integrated them with existing databases to identify expressed cell surface targets in myeloma patients. Importantly, we also identify targets specific to genomic defined subgroups of patients including primary translocations and high-risk subgroups. Examples of subgroup targets include ROBO3 in t(4;14), CD109 in t(14;16), CD20 in t(11;14), GPRC5D in 1q+, and ADAM28 in biallelic TP53 samples. Expression was validated by flow cytometry and CRISPR-Cas9 knock out models. Sub-clonal differences in expression were noted, as was alternative splicing of existing immunotherapy targets such as FCRL5. These results highlight the use of genomic stratification to identify novel therapeutic targets. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=157 HEIGHT=200 SRC="FIGDIR/small/635544v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@6965e6org.highwire.dtl.DTLVardef@1a0e567org.highwire.dtl.DTLVardef@34fc30org.highwire.dtl.DTLVardef@98c3d4_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

bioRxiv2019

Identification of the lymphangioleiomyomatosis cell and its uterine origin

Lymphangioleiomyomatosis (LAM) is a metastasizing neoplasm of reproductive age women that causes cystic lung remodeling and progressive respiratory failure. The source of LAM cells that invade the lung and the reasons that LAM targets women have remained elusive. We employed single cell and single nuclei RNA sequencing on LAM lesions within explanted LAM lungs, known to contain smooth muscle like cells bearing mTOR activating mutations in TSC1 or TSC2, and identified a unique population of cells that were readily distinguished from those of endogenous lung cells. LAMCORE cells shared closest transcriptomic similarity to normal uterus and neural crest. Immunofluorescence microscopy demonstrated the expression of LAMCORE cell signature genes within LAM lesions in both lung and uterus. Serum aptamer proteomics and ELISA identified biomarkers predicted to be secreted by LAMCORE cells. Single cell transcriptomics strongly supports a uterine neural crest origin of LAMCORE cells; providing insights into disease pathogenesis and informing future treatment strategies for LAM.\n\nSIGNIFICANCEPresent study identified a novel population of LAMCORE cells, which is likely originated from uterine neural crest; identified novel LAM cell-specific secretome proteins that hold promise as potential biomarkers and therapeutic targets. Advancing the understanding of LAM pathogenesis and metastasis model may yield broader insights into the biology of cancer.

cancer biology↗