Proteogenomic characterization of difficult-to-treat breast cancer with tumor cells enriched through laser microdissection

Praveen-Kumar Raj-Kumar(Windber Research Institute), Xiaoying Lin(Windber Research Institute), Tao Liu(Pacific Northwest National Laboratory), Lori A. Sturtz(Windber Research Institute), Marina A. Gritsenko(Pacific Northwest National Laboratory), Vladislav Petyuk(Pacific Northwest National Laboratory), Tyler J. Sagendorf(Pacific Northwest National Laboratory), Brenda Deyarmin(Windber Research Institute), Jianfang Liu(Windber Research Institute), Anupama Praveen-Kumar(Windber Research Institute), Guisong Wang(Henry M. Jackson Foundation), Jason McDermott(Pacific Northwest National Laboratory), Anil Shukla(Pacific Northwest National Laboratory), Ronald Moore(Pacific Northwest National Laboratory), Matthew Monroe(Pacific Northwest National Laboratory), Bobbie‐Jo Webb‐Robertson(Pacific Northwest National Laboratory), Jeffrey A. Hooke(Henry M. Jackson Foundation), Leigh Fantacone-Campbell(Henry M. Jackson Foundation), Brad Mostoller(Windber Research Institute), Leonid Kvecher(Windber Research Institute), Jennifer Kane(Windber Research Institute), Jennifer Melley(Windber Research Institute), Stella Somiari(Windber Research Institute), Patrick Soon‐Shiong(NantWorks (United States)), Richard Smith(Pacific Northwest National Laboratory), Richard Mural(Windber Research Institute), Karin Rodland(Pacific Northwest National Laboratory), Craig D. Shriver(Uniformed Services University of the Health Sciences), Albert J. Kovatich(Henry M. Jackson Foundation), Hai Hu(Windber Research Institute)
Breast Cancer Research
May 14, 2024
Cited by 5Open Access
Full Text

Abstract

BACKGROUND: Breast cancer (BC) is the most commonly diagnosed cancer and the leading cause of cancer death among women globally. Despite advances, there is considerable variation in clinical outcomes for patients with non-luminal A tumors, classified as difficult-to-treat breast cancers (DTBC). This study aims to delineate the proteogenomic landscape of DTBC tumors compared to luminal A (LumA) tumors. METHODS: We retrospectively collected a total of 117 untreated primary breast tumor specimens, focusing on DTBC subtypes. Breast tumors were processed by laser microdissection (LMD) to enrich tumor cells. DNA, RNA, and protein were simultaneously extracted from each tumor preparation, followed by whole genome sequencing, paired-end RNA sequencing, global proteomics and phosphoproteomics. Differential feature analysis, pathway analysis and survival analysis were performed to better understand DTBC and investigate biomarkers. RESULTS: We observed distinct variations in gene mutations, structural variations, and chromosomal alterations between DTBC and LumA breast tumors. DTBC tumors predominantly had more mutations in TP53, PLXNB3, Zinc finger genes, and fewer mutations in SDC2, CDH1, PIK3CA, SVIL, and PTEN. Notably, Cytoband 1q21, which contains numerous cell proliferation-related genes, was significantly amplified in the DTBC tumors. LMD successfully minimized stromal components and increased RNA-protein concordance, as evidenced by stromal score comparisons and proteomic analysis. Distinct DTBC and LumA-enriched clusters were observed by proteomic and phosphoproteomic clustering analysis, some with survival differences. Phosphoproteomics identified two distinct phosphoproteomic profiles for high relapse-risk and low relapse-risk basal-like tumors, involving several genes known to be associated with breast cancer oncogenesis and progression, including KIAA1522, DCK, FOXO3, MYO9B, ARID1A, EPRS, ZC3HAV1, and RBM14. Lastly, an integrated pathway analysis of multi-omics data highlighted a robust enrichment of proliferation pathways in DTBC tumors. CONCLUSIONS: This study provides an integrated proteogenomic characterization of DTBC vs LumA with tumor cells enriched through laser microdissection. We identified many common features of DTBC tumors and the phosphopeptides that could serve as potential biomarkers for high/low relapse-risk basal-like BC and possibly guide treatment selections.


Related Papers

No related papers found

Powered by citation graph analysis