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Hoon, Dave S.�B.

https://orcid.org/0000-0003-1915-3683

Mayo Clinic

Saint John's Health Center

Citations 5

Comprehensive characterization of interleukin-enhanced factor 2 (ILF2) in triple-negative breast cancer (TNBC).
Deshmukh, Sachin Kumar , Wu, Sharon , Xiu, Joanne , Advani, Pooja , Mahtani, Reshma , Grumley, Janie G. , Bustos, Matías A. , Samec, Timothy , Jayachandran, Priya , Graff, Stephanie L. , Lustberg, Maryam B. , Sledge, George W. , Hoon, Dave S.�B.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 1114-1114

10.1200/jco.2025.43.16_suppl.1114 Get It

1114 Background: While treatment and management of TNBC has improved, there is a need for novel prognostic biomarkers to better inform outcomes and guide therapeutic options. ILF2 is a poorly characterized protein with pleiotropic functions that is highly expressed in TNBC. Here we evaluated the associations of ILF2 with 1) genomic and transcriptomic data, 2) tumor microenvironment (TME), and 3) clinical outcomes in TNBC. Methods: 15,544 breast cancer (BC) samples, including 3,038 TNBC, were tested by NGS (592, NextSeq; WES, NovaSeq) and WTS (NovaSeq; Caris Life Sciences, Phoenix, AZ). ILF2 -high (H) and ILF2 -low(L) TNBC were defined by respective quartiles. Immune cell fractions were estimated by WTS deconvolution (Quantiseq). Real world overall survival (OS) was obtained from insurance claims and calculated from tissue collection to last contact using Kaplan-Meier estimates. Statistical significance was determined by chi-square, Fisher’s exact, and Mann-Whitney U test with p-values adjustments (q < .05). Results: ILF2 expression (median Log2(TPM+1) was higher (all q < .05) in key subgroups: ductal compared to lobular carcinoma (6.4 vs 6.0); primary compared to metastatic BC (6.4 vs 6.3); African American compared to White (6.4 vs 6.3); basal compared to luminal A, luminal B, HER2 PAM50 subtypes (6.9 vs 5.8, 6.3, 6.3); and TNBC compared to HR+HER2+, HR-HER2+, HR+HER2- subtypes (6.7 vs 6.3, 6.4, 6.2). Biopsied tissues from primary TNBC (pTNBC) and metastatic TNBC (mTNBC) patients were stratified into ILF2- H and ILF2- L groups. In both mTNBC and pTNBC, ILF2- H groups had 1) higher percentage of young patients (age < 50) (pTNBC: 35.5% vs 19.8%; mTNBC: 28.1% vs 17.3%; all q < .05); 2) higher mutation frequency of TP53 (pTNBC: 94.5% vs 79.6%; mTNBC: 92.4% vs 74.4%), but lower frequencies for PIK3CA ( pTNBC: 5.1% vs 23.4% , mTNBC: 8.8% vs 27.4%), CDH1 ( pTNBC: 0.8% vs 6.1%; mTNBC: 2.8% vs 12.2%; all q < .05); 3) higher infiltration of NK cells (pTNBC: 3% vs 2.6%; mTNBC: 2.8% vs 2.6%), but lower infiltration of M2 Mφ (pTNBC: 2.5% vs 3.3%; mTNBC: 2.6% vs 3.2%) and Tregs (pTNBC: 1.5% vs 1.9%; mTNBC: 1.4% vs 1.7%; all q < .05); 4) higher expression levels of immune checkpoint ( CD274, PDCD1LG2, CTLA4, LAG3, HAVCR2, FOXP3, IDO1, CD276 , FC: 1.2-3.1; all q < .05), stem cell genes (C D44, NANOG, POU5F1, KLF4, ALDH1A1 , FC: 1.4-2.4; all q < .05), and drug efflux genes ( ABCC3, ABCC11, ABCC2, ABCB1, ABCG2, ABCC1 , FC: 1.1-4.5; all q < .05) compared to ILF2- L group. In pTNBC, ILF2- H had significantly shorter OS vs ILF2- L group (22.3 vs 28.9 months, HR 1.2 [95% CI 1-1.5], p = .03), but no significant differences were observed between mTNBC ILF2 groups (HR 1.1 [95% CI 0.93-1.3], p = .2). Conclusions: ILF2 -H TNBC patients showed differential genomic and transcriptomic alterations that relate to therapy resistance, immune suppressive TME, and shorter OS. Further studies are warranted to validate the effects of ILF2 upregulation on therapeutic efficacy.
Pan-Cancer Interrogation of B7-H3 ( CD276 ) as an Actionable Therapeutic Target Across Human Malignancies
Miller, Carly D. , Zorko, Nicholas A. , Elliott, Andrew , Makovec, Allison , Radovich, Milan , Heath, Elisabeth I. , Agarwal, Neeraj , McKay, Rana R. , Garje, Rohan , Bastos, Bruno , Orme, Jacob J. , Nabhan, Chadi , Dehm, Scott M. , Hwang, Justin H. , Lozada, John R , Zorko, Nicholas A , Elliott, Andrew , Makovec, Allison , Radovich, Milan , Heath, Elisabeth I , Agarwal, Archana M , McKay, Rana R , Garje, Rohan , Bastos, Bruno R , Hoon, Dave S B , Orme, Jacob J , Sartor, A Oliver , VanderWalde, Ari , Nabhan, Chadi , Sledge, George W , Shenderov, Eugene , Dehm, Scott M , Lou, Emil , Miller, Jeffrey S , Hwang, Justin H , Antonarakis, Emmanuel S , Hoon, Dave S.�B. , Sartor, Oliver , Vanderwalde, Ari M. , Sledge, George W. , Shenderov, Eugene , Lou, Emil , Miller, Jeffrey S. , Antonarakis, Emmanuel S.

Cancer Research Communications | May 6, 2024 | Volume: 4 | Issue: 5 | Pages: 1369-1379

10.1158/2767-9764.crc-23-0546 Get It

Abstract B7-H3 (CD276) is a transmembrane glycoprotein of the B7 immune checkpoint superfamily that has emerged as a promising therapeutic target. To better understand the applicability of B7-H3–directed therapies, we analyzed 156,791 samples comprising 50 cancer types to interrogate the clinical, genomic, transcriptomic, and immunologic correlates of B7-H3 mRNA expression. DNA (592-gene/whole-exome) and RNA (whole-transcriptome) sequencing was performed from samples submitted to Caris Life Sciences. B7-H3 high versus low expression was based on top and bottom quartiles for each cancer type. Patients’ overall survival was determined from insurance claims data. Pathway analysis was performed using gene set enrichment analyses. Immune cell fractions were inferred using quanTIseq. B7-H3 is expressed across several human malignancies including prostate, pancreatic, ovarian, and lung cancers. High B7-H3 expression is associated with differences in overall survival, possibly indicating a prognostic role of B7-H3 for some cancers. When examining molecular features across all cancer types, we did not identify recurrent associations between B7-H3 expression and genetic alterations in TP53, RB1, and KRAS. However, we find consistent enrichment of epithelial-to-mesenchymal transition, Wnt, TGFβ, and Notch signaling pathways. In addition, tumors with high B7-H3 expression are associated with greater proportions of M1 macrophages, but lower fractions of CD8+ T cells. We have begun to define the genomic, transcriptomic, clinical, and immunologic features associated with B7-H3 expression in 50 cancer types. We report novel clinical and molecular features of B7-H3–high tumors which may inform how current B7-H3 therapeutics should be deployed and prioritized. Significance: B7-H3–targeting therapeutics have shown promising results in initial clinical trials. In this pan-cancer analysis of B7-H3 mRNA expression, we found that B7-H3 exhibits robust expression in many common cancer types. These results may inform further development of B7-H3–targeting therapeutics and may guide clinical decisions for patients with limited treatment options.
UBQLN4 promotes STING proteasomal degradation during cisplatin‐induced DNA damage in triple‐negative breast cancer
Yokoe, Takamichi , Kobayashi, Yuta , Murakami, Tomohiro , Bostick, Peter J., Shiloh, Yosef , Hoon, Dave S.�B. , Bustos, Matías A. , Hoon, Dave S B , Shoji, Yoshiaki

Clinical and Translational Medicine | July 15, 2022 | Volume: 12 | Issue: 7 | Pages: No page available

10.1002/ctm2.985 Get It

Abstract 50: Multi-omics and immune cell profiling of metastatic uveal melanomas
Moser, Justin C. , Shao, Yusra F. , Xiu, Joanne , Sato, Takami , Korn, Michael, Eisenberg, Burton, Gibney, Geoff, Domingo‐Musibay, Evidio , In, Gino, Baca, Yasmine , Dalvin, Lauren A. , Darabi, Sourat , Hoon, Dave S.�B. , Gordon, Michael S.

Cancer Research | June 15, 2022 | Volume: 82 | Issue: 12_Supplement | Pages: 50-50

10.1158/1538-7445.am2022-50 Get It

Abstract Background: Uveal melanoma (UM) is a rare tumor of the eye which is biologically distinct from cutaneous melanoma (CM) and carries a poor prognosis once metastatic. We aimed to examine a multi-omics profile of UM as compared to CM. Methods: A total of 277 UM and 1,297 CM metastatic or primary samples were analyzed using next-generation sequencing (NextSeq, 592 genes and WES, NovaSeq, &gt;700 genes) and whole transcriptome sequencing (WTS; NovaSeq) (Caris Life Sciences). Tumor mutational burden (TMB) was measured by totaling somatic mutations per tumor (TMB-high cutoff &gt;10 mutations per MB). Immune cell fraction was calculated by QuantiSeq. T- cell inflamed score was calculated using gene expression data. Pathway gene enrichment analysis using WTS data was performed using GSEA. Biostatistical significance was determined using chi-square/Fisher-Exact or Wilcoxon rank sum test and adjusted for multiple comparisons. Results: For all cases (primary and metastatic), UM compared to CM had a higher rate of GNAQ/11 (93.8% vs. 2.1% p≤0.001), SF3B1 (20.4% vs 3% p≤0.001), and BAP1 (52.9% vs. 1.5% p≤0.001) mutations. UM also had higher levels of MYC (7% vs 0.9% p≤0.001), NCOA2 (3.1% vs 0.1% p≤0.001), and RUNX1T1 genomic amplifications (2.3% vs 0.2% p≤0.001). Assessing only samples of liver metastases, UM was shown to have higher abundance of M2 macrophages (P≤0.0001) and less abundance of M1 macrophages(P≤0.0001), monocytes(P≤0.0001), CD4 T-cells(P≤0.0001), and regulatory T-cells (p = 0.0003) as compared to CM. GSEA comparison between liver metastases of UM and CM samples showed G2M checkpoint (NES score, 1.60 p≤0.0001) and E2F targets (NES score, 1.58 p=0.002) to be higher in metastatic CM. When comparing T-cell inflamed, intermediate, and non-inflamed tumors from any site, CM or UM, the average Z scores for both G2M and E2F were highest for inflamed and lowest for non-inflamed, P≤0.0001. A similar trend of higher Z score was seen for TMB high vs TMB low tumors, p≤0.0001. Conclusions: UM and CM are characterized by significantly different genomic and transcriptomic alterations, and cellular composition of TME. Further understanding of these characteristics may lead to better treatment strategies for metastatic UM. Citation Format: Justin C. Moser, Yusra F. Shao, Joanne Xiu, Yasmine Baca, Takami Sato, Lauren A. Dalvin, Sourat Darabi, Michael Korn, Burton Eisenberg, Geoff Gibney, Evidio Domingo-Musibay, Gino In, Dave Hoon, Michael S. Gordon. Multi-omics and immune cell profiling of metastatic uveal melanomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 50.
Abstract P4-01-11: UBQLN4 regulates cisplatin-resistance in triple-negative breast cancer by targeting BAT3 for proteasomal degradation
Bostick, Peter J., Shiloh, Yosef , Shoji, Yoshiaki, Yokoe, Takamichi , Hoon, Dave S.�B. , Bustos, Matías A.

Cancer Research | March 8, 2022 | Volume: 82 | Issue: 4_Supplement | Pages: P4-01-11-P4-01-11

10.1158/1538-7445.sabcs21-p4-01-11 Get It

Abstract Background: Triple-negative breast cancer (TNBC) is a heterogeneous breast cancer (BC) subtype. Cisplatin is one of the broad FDA-approved drugs to treat TNBC patients with recurrent and unresectable disease. However the treatment response is limited, and patients frequently develop resistance and recur locally and distantly. The aim of this study is to find molecular mechanisms driving cisplatin-resistance in TNBC. The ubiquitin proteasomal system (UPS) is a universal and conserved mechanism that helps to maintain cellular homeostasis. The aberrant expression of certain components of the UPS have been associated with cancer onset, progression, and metastasis as we and other groups have shown. UBQLN4 is part of the UPS and play a major role in controlling ubiquitinated proteins in response to genotoxic stress. BCL2-associated athanogene-6 (BAG6), alternately known as BAT3, is a chaperone that complex with other chaperones and ubiquitin ligases to regulate protein stability and insertion of tail-anchored membrane proteins into the endoplasmic reticulum. This is a critical step that reduce mislocalized proteins and proteotoxic stress. We hypothesized that UBQLN4 upregulation determine cisplatin-resistance in BC patients by targeting BAT3 for proteasomal degradation to reduce proteotoxic stress. Methods: TCGA BRCA database was utilized to determine clinical associations and outcomes in BC patients. A BC tissue microarray (TMA) was stained by IHC and protein levels quantified to confirm associations between UBQLN4 and TNBC patients. TNBC cell lines were CRISPR-engineered to generate UBQLN4 knockout (KO), and lentivirus transduction was used to recover the KO phenotype. Functional assays and confocal imaging were performed in BRCA mutant and wildtype human TNBC cell lines. Results: Increased UBQLN4 mRNA expression was observed in the TCGA BRCA database in primary BC tissues compared to normal adjacent tissues (p&lt;0.0001). Using PAM50 classification, the BC patients were stratified and compared for UBQLN4 expression. BC patients with basal-like tumors showed significantly higher UBQLN4 expression than normal-like subtype (p&lt; 0.0001). In the assessment of 5-years relapse-free survival (RFS), patients with high levels of UBQLN4 (n=221) showed significantly lower RFS rates compared to those with low UBQLN4 (n=221) (HR=1.67(1.21-2.3), log-rank test p&lt;0.0016). These results were further evaluated by IHC using a BC TMA. Patients with TNBC showed a significantly increased UBQLN4 H-scores values compared to normal adjacent breast tissues. KO of UBQLN4 significantly increased cisplatin sensitivity in TNBC cell lines (p&lt;0.0001). UBQLN4 overexpression restored the cisplatin-resistance in UBQLN4-KO cell line. In TGCA BRCA database, BAT3 was significantly upregulated in BC patients with basal-like tumors compared to normal-like subtype. Knockdown of BAT3 significantly increased cisplatin sensitivity in TNBC cell lines (p&lt;0.0001). In TCGA BRCA database, BAT3 and UBQLN4 mRNA levels positively correlated (r= 0.26, p&lt;0.0001). By using co-immunoprecipitation, endogenous BAT3 and UBQLN4 proteins interact in parental TNBC cell line, but only during cisplatin-treatment. These results were further validated using reciprocal co-immunoprecipitation and confocal imaging in TNBC cell lines with UBQLN4 overexpression. Conclusions: UBQLN4 expression controls cisplatin-resistance in TNBC cell lines. UBLQN4 interacts with BAT3 under cisplatin treatment. During cisplatin treatment, UBQLN4 targets BAT3 for proteasomal degradation to reduce proteotoxic stress induced by genotoxic cisplatin treatment. The UBQLN4 protein levels may represent a prognostic biomarker to predict RFS in TNBC patients. Citation Format: Yoshiaki Shoji, Takamichi Yokoe, Peter J Bostick, Yosef Shiloh, Dave SB Hoon, Matias A Bustos. UBQLN4 regulates cisplatin-resistance in triple-negative breast cancer by targeting BAT3 for proteasomal degradation [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-01-11.