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Radovich, Milan

https://orcid.org/0000-0001-9667-156X

Mayo Clinic

Caris Life Sciences (United States)

Citations 7

Abstract GS1-08: Multimodal artificial intelligence (AI) models integrating image, clinical, and molecular data for predicting early and late breast cancer recurrence in TAILORx
Sparano, J. A., Wang, V., Gray, R. J., Makower, D. F., Albain, K. S., Hayes, D. F., Geyer, C. E., Dees, E. C., Goetz, M. P., Olson, J. A., Badve, S. S., Saphner, T. J., Whelan, T. J., Radovich, Milan M., Kaklamani, V. G., Sledge, G. W., Whelan, Timothy J. , Sparano, JA, Hayes, D. F., Geyer, C. E., Goetz, Matthew P. , Saphner, Thomas J. , Radovich, Milan , Kaklamani, VG

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: GS1-08-GS1-08

10.1158/1557-3265.sabcs25-gs1-08 Get It

Abstract Background: TheTAILORx trial established that adjuvant endocrine therapy (ET) is non-inferiorto chemotherapy plus ET (CET) in T1-2N0 HR+/HER2-negative early breast cancer(EBC) with an Oncotype DX (ODX) 21-gene recurrence score (RS) of 11-25, RS 0-10is associated with low distant recurrence (DR) rates with ET alone, and RS26-100 is associated with higher DR rates despite CET. Although ODX isprognostic for 10-year DR, it has limited value for late DR >5 years. Inorder to develop improved DR risk prognostication, we developed multimodal AImodels integrating clinical, molecular, and histopathology features to provideprognostic information for early (<5years), late (>5 years), and overall DR at 15 years using primary tumorsamples and clinical data from volunteers who participated in TAILORx. Methods: DigitizedH&E slides were generated and nucleic acids extracted and sequenced from∼5000 primary tumor samples using Caris MI Tumor Seek-Hybrid, of which 2,808(56%) were used for model training and 5-fold nested cross validation (60/20/20split). Models included single-modality (clinical [C], image [I], molecular [M:ODX genes]), dual-modality (CM, IC), and multimodal (ICM). An expandedmolecular model (M+) model was also derived from expanded molecular inputsderived from whole transcriptome sequencing (WTS) data, including 5 commercialgene signatures (ODX, MammaPrint, Prosigna, EndoPredict, BCI) and 57 high-variancegenes; only EndoPredict, BCI, and ODX gene signatures were retained for model M+.Model-CM+ combined clinical plus expanded molecular features, while ICM/ICM+integrated image, clinical, and (expanded) molecular inputs. Risk scores were dichotomized into high vs. low risk groups usingthresholds chosen to yield risk group proportions closely matching thosedefined by the ODX RS cutoff of 25 for distinguishing high vs. low genomicrisk. Theprimary endpoint was distant recurrence (DR). Prognostic performance wasassessed using truncated concordance index (C-index, 90th percentile of eventtimes), hazard ratios (HRs), and log-rank tests. DNA-level whole exomesequencing (WES) features were also tested but did not provide additionalprognostic information and thus excluded from final models. Results: Theactual ODX continuous RS achieved a C-index of 0.625 for overall DR and 0.743early DR, but no prognostic value for late DR (0.52). Similar results for theC-index were observed for ODX+C for overall DR (0.619), early DR (0.724), andlate DR (0.514). Of all modelsevaluated, model-ICM+ gave the best overall prognostic accuracy for overall DR (C-index0.713; hazard ratio [HR] 3.56 for comparison of high vs. low risk, p<0.001)and late DR (C-index 0.655; HR 2.36, p<0.001), and ranked second for earlyDR (C-index 0.772; HR 6.59, p<0.001) behind the CM+ model (C-index 0.782). Amongsingle-modality models, Model-M+ improved early DR prognostication comparedwith a molecular model including only ODX genes(C-index 0.767 vs 0.744 for M),whereas Model-I was strongest for late DR prognostication (C-index 0.635). Conclusions: Molecularfeatures primarily drove prognostic accuracy for early DR within 5 years,whereas histopathology features strengthened the prognostic accuracy for lateDR after 5 years. Multimodal models captured these complementary signals, withICM+ giving the best overall accuracy for individualized prognostic assessment.Additional validation of the optimized ICM+ model and other models is beingperformed in an intendent validation sample of 2000 TAILORx volunteers, withresults to be presented at the meeting.Supported by the Breast CancerResearch Foundation and the U.S. NIH/NCI U10CA180820 and 5U24CA196172, and theU.S. Postal Service Breast Cancer Stamp Fund. Citation Format: J. A. Sparano, V. Wang, R. J. Gray, D. F. Makower, K. S. Albain, D. F. Hayes, C. E. Geyer, E. C. Dees, M. P. Goetz, J. A. Olson, S. S. Badve, T. J. Saphner, T. J. Whelan, M. Radovich, V. G. Kaklamani, G. W. Sledge. Multimodal artificial intelligence (AI) models integrating image, clinical, and molecular data for predicting early and late breast cancer recurrence in TAILORx [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr GS1-08.
Abstract C100: Defining the role of Hedgehog, Notch, and Wnt signaling pathways in aggressive lethal prostate cancer of Hispanic men
Recio‐Boiles, Alejandro , Deshmukh, Sachin Kumar , Barker, Kenneth N. , Wu, Sharon , Xiu, Joanne , Radovich, Milan , Heath, Elisabeth I. , McKay, Rana R. , Miranti, Cynthia , Estrada-Mendizábal, Ricardo J. , Chipollini, Juan

Cancer Epidemiology, Biomarkers & Prevention | September 21, 2024 | Volume: 33 | Issue: 9_Supplement | Pages: C100-C100

10.1158/1538-7755.disp24-c100 Get It

Abstract Background: Hispanic American (HA) men with prostate cancer (PC) are more likely to have more aggressive and advanced diseases and greater mortality rates compared to non-Hispanic white (NHW) men. Resistance to the current anticancer therapy is the major hurdle that leads to poor clinical outcomes. Hedgehog, Notch, and Wnt signaling pathways play a crucial role in development, progression, and resistance to the various anticancer therapies. Here, we characterized the enrichment of Hedgehog, Notch, and Wnt signaling pathways and molecular tumors differences between HA and NHW patients. Methods: Our data consist of 88 PC tumors samples (HA=34, NHW=54) obtained from treatment-naive metastatic hormone-sensitive prostate cancer (mHSPC) that were analyzed by next-generation sequencing (592, NextSeq; Whole Exome Sequencing, NovaSeq) and Whole Transcriptome Sequencing (WTS; NovaSeq) (Caris Life Sciences, Phoenix, AZ). Pathway enrichment was determined by Gene Set Enrichment Analysis (GSEA, Broad Institute) by measurable TPM (transcripts per kilobase million). The medical records were reviewed in a deidentified fashion for clinical features. Statistical significance was determined using chi-square and Mann-Whitney U (p<0.05). Results: HA PC had enrichment of Hedgehog signaling (NES: 1.45, FDR=0.04), Notch signaling (NES: 1.41, FDR=0.07), and Wnt/β-catenin signaling (NES: 1.38, FDR=0.11) pathways compared to NHW tumors. HA tumors had higher expression of genes (HES1, Notch1, WNT1, WNT2; FC:1.1-2.5) associated with crosstalk between Hedgehog, Notch, and Wnt/β- catenin signaling pathways (all p<0.05). Moreover, HA tumors had higher expression of stemness (ALDH1A2, ALDH1A1, PROM1; FC: 1.7-3.0), drug efflux (ABCC1, ABCB1; FC: 1.1- 1.5), epithelial to mesenchymal transition (EMT) (TWIST1, MMP2; FC: 1.1-1.5), cell cycle (CCND2; FC: 1.2), inhibition of apoptosis (BIRC2, XIAP; FC: 1.1) and epigenetic (EP300, TET1, TET2; FC: 1.3-1.4) related genes compared to NHW tumors (all p<0.05). HA PC had higher frequency of Hedgehog and Wnt/β-catenin associated SPOP (16% vs 6.6%, p=0.2) and CTNNB1 (12% vs 2.2%, p=0.1) mutation compared to NHW PC. Conclusion: These results demonstrate that tumors from HA patients had enrichment of oncogenic Hedgehog, Notch, and Wnt/β-catenin signaling pathways, higher expression of stemness, drug efflux, EMT, cell cycle, inhibition of apoptosis and epigenetic-related genes, and mutations directly involved in activating the Hedgehog and Wnt/β-catenin signaling pathways. Together, these findings suggest that tumors from HA patients are enriched for gene signatures that promote cancer progression and therapy resistance. Additional research on collaboration and crosstalk between Hedgehog, Notch, and Wnt/β-catenin signaling pathways may help in designing better therapeutic strategies for HA men with mHSPC. Citation Format: Alejandro Recio-Boiles, Sachin Kumar Deshmukh, Ricardo J. Estrada-Mendizabal, Kenneth Barker, Sharon Wu, Joanne Xiu, Milan Radovich, Elisabeth I. Heath, Rana McKay, Juan Chipollini, Cynthia K. Miranti. Defining the role of Hedgehog, Notch, and Wnt signaling pathways in aggressive lethal prostate cancer of Hispanic men [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C100.
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.
Abstract PO4-24-02: Comprehensive Characterization of BCL2 Family Genes in Metaplastic Triple Negative Breast Cancer
Advani, Pooja , Deshmukh, Sachin Kumar , Wu, Sharon , Xiu, Joanne , Radovich, Milan , Torres, Evanthia T. Roussos , Chanan‐Khan, Asher , Andring, Jacob T. , Farrell, Alex Patrick , Sledge, George W. , Trapani, Dario , Graff, Stephanie L.

Cancer Research | May 2, 2024 | Volume: 84 | Issue: 9_Supplement | Pages: PO4-24-02-PO4-24-02

10.1158/1538-7445.sabcs23-po4-24-02 Get It

Abstract Background: Metaplastic Breast Cancer (MBC) is rare (0.2-5%), aggressive form of BC characterized by chemotherapy resistance and has worse outcomes in comparison to other BC subtypes. Resistance to chemotherapeutic agents is related to defects in intact intrinsic apoptosis pathway and the BCL2 family of proteins are the central regulators of this pathway. Majority of MBC have triple-negative receptor status and have no standard therapeutic approach and validated prognostic markers. Here, we examine the association of BCL2 family pro-apoptotic and anti-apoptotic genes expression with metaplastic TNBC (MTNBC) patient survival. Methods: 13,036 BC samples (MTNBC, n=102; metaplastic non-TNBC, n=20) were analyzed by next-generation sequencing (592, NextSeq; WES, NovaSeq), Whole Transcriptome Sequencing (WTS; NovaSeq) (Caris Life Sciences, Phoenix, AZ). A total of 10 pro-apoptotic (BAX, BAK1, BID, BAD, BIK, BCL2L11, BMF, HRK, PMAIP1, BBC3) and 6 anti-apoptotic (BCL2, BCL2L1, BCL2L2, MCL1, BCL2A1, BCL2L10) BCL2 family genes were analyzed. MTNBC with PMAIP1-high(H) and -low(L) expression was classified by top and bottom quartile, respectively. Pathway enrichment was determined by GSEA (Broad Inst). Real world overall survival (OS) was extracted from insurance claims and calculated from tissue collection to last contact using Kaplan-Meier estimates. Statistical significance was determined using chi-square and Mann-Whitney U test with p-values adjusted for multiple comparisons (q < 0.05). Results: MTNBC had enrichment of apoptosis (NES: 1.4, FDR: 0.05), glycolysis (NES: 1.48, FDR: 0.03), PI3K/AKT/mTOR signaling (NES: 1.43, FDR: 0.05), P53 (NES: 1.51, FDR: 0.06), NOTCH signaling (NES: 1.39, FDR: 0.05), TGFβ signaling (NES: 1.41, FDR: 0.05), WNTβ catenin signaling (NES: 1.41, FDR: 0.05) and IL2/STAT5 signaling (NES: 1.33, FDR: 0.09) pathways compared to metaplastic non-TNBC. MTNBC had higher expression of BCL2 pro-apoptotic genes BAX (Fold Change (FC): 1.6), BAK1 (FC: 1.3), BID (FC: 2), BAD (FC: 1.6), BCL2L11 (FC: 2.5) and BBC3 (FC: 1.5), and anti-apoptotic genes BCL2L1 (FC: 1.6) and BCL2L2 (FC: 1.3) (all p < 0.05) compared to metaplastic non-TNBC. Higher PMAIP1 gene expression was associated with worse MTNBC patient survival (mOS: 14.3 month; HR: 0.37; 95% CI 0.19-1.41; p=0.002) (Table 1), but not in metaplastic non-TNBC (mOS: Inf; HR: 1.96; 95% CI 0.64-6.02; p=0.23). PMAIP1-H MTNBC had higher expression of immune checkpoint genes CD274 (FC: 2.8), PDCD1 (FC: 2.2), TIM3 (FC: 1.8), LAG3 (FC: 2.1) and IDO1 (FC: 5.7) (all p < 0.05), compared to PMAIP1-L MTNBC. PMAIP1-H MTNBC had higher frequency of IHC-PD-L1 positivity (68.4% vs 14.3%, p < 0.05). PMAIP1-H MTNBC had higher expression of stem cell related genes CD44 (FC: 1.7), ALDH1A2 (FC: 2.2), ALDH1A3 (FC: 2.6), SOX2 (FC: 5.21) and NANOG (FC: 2.13) (all p < 0.05) compared to PMAIP1-L MTNBC. Conclusion: This is the first comprehensive analysis of expression and prognostic role of BCL2 family proteins in MBC. Our data suggest a strong association of higher expression of PMAIP1 with worse MTNBC patient survival, potentially attributed to higher immune checkpoint, stem cell-related genes expression, and higher frequency of PD-L1 positivity in PMAIP1-H tumors. These findings indicate PMAIP1 as a potential prognostic biomarker candidate in MTNBC but needs further validation in large prospective studies Table 1. Overall survival of metaplastic TNBC patient based on BCL2 family gene expression. Citation Format: Pooja Advani, Sachin Deshmukh, Sharon Wu, Jacob Andring, Joanne Xiu, Alex Farrell, Milan Radovich, George Sledge Jr, Dario Trapani, Evanthia Roussos Torres, Stephanie Graff, Asher Chanan-Khan. Comprehensive Characterization of BCL2 Family Genes in Metaplastic Triple Negative Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-24-02.
Severe Capecitabine Toxicity Associated With a Rare DPYD Variant Identified Through Whole-Genome Sequencing
Ly, Reynold C. , Schmidt, Remington E. , Kiel, Patrick J. , Pratt, Victoria M. , Schneider, Bryan P. , Radovich, Milan , Diasio, Robert B. , Skaar, Todd C. , Offer, Steven M.

JCO Precision Oncology | June 12, 2020 | Volume: No volume available | Issue: 4 | Pages: 632-638

10.1200/po.20.00067 Get It

Prognostic and Predictive Value of Tumor Vascular Endothelial Growth Factor Gene Amplification in Metastatic Breast Cancer Treated with Paclitaxel with and without Bevacizumab; Results from ECOG 2100 Trial
Schneider, Bryan P. , Radovich, Milan , Vance, Gail H. , Li, Lang , Cobleigh, Melody , Perez, Edith A. , Shenkier, Tamara N., Nielsen, Kirsten Vang , Müller, Sven , Thor, Ann D. , Sparano, Joseph A. , Davidson, Nancy E. , Gray, Robert J. , Shen, Fei , Jiang, Guanglong , Miller, Kathy D. , Gralow, Julie R. , Dickler, Maura N. , Sledge, George W. , Badve, Sunil , Sparano, Joseph A

Clinical Cancer Research | January 23, 2013 | Volume: 19 | Issue: 5 | Pages: 1281-1289

10.1158/1078-0432.ccr-12-3029 Get It

Abstract Purpose: Clinically validated biomarkers for anti-angiogenesis agents are not available. We have previously reported associations between candidate VEGFA single-nucleotide polymorphisms (SNP) and overall survival (OS) in E2100. The associations between tumor VEGFA amplification and outcome are evaluated here. Experimental Design: E2100 was a phase III trial comparing paclitaxel with or without bevacizumab for patients with metastatic breast cancer. FISH to assess gene amplification status for VEGFA was conducted on paraffin-embedded tumors from 363 patients in E2100. Evaluation for association between amplification status and outcomes was conducted. Results: Estrogen receptor (ER)+ or progesterone receptor (PR)+ tumors were less likely to have VEGFA amplification than ER/PR− tumors (P = 0.020). VEGFA amplification was associated with worse OS (20.2 vs. 25.3 months; P = 0.013) in univariate analysis with a trend for worse OS in multivariate analysis (P = 0.08). There was a significant interaction between VEGFA amplification, hormone receptor status, and study arm. Patients with VEGFA amplification and triple-negative breast cancers (TNBC) or HER2 amplification had inferior OS (P = 0.047); amplification did not affect OS for those who were ER+ or PR+ and HER2−. Those who received bevacizumab with VEGFA amplification had inferior progression-free survival (PFS; P = 0.010) and OS (P = 0.042); no association was seen in the control arm. Test for interaction between study arm and VEGFA amplification with OS was not significant. Conclusion: VEGFA amplification in univariate analysis was associated with poor outcomes; this was particularly prominent in HER2+ or TNBCs. Additional studies are necessary to confirm the trend for poor OS seen on multivariate analysis for patients treated with bevacizumab. Clin Cancer Res; 19(5); 1281–9. ©2012 AACR.
Association of Vascular Endothelial Growth Factor and Vascular Endothelial Growth Factor Receptor-2 Genetic Polymorphisms With Outcome in a Trial of Paclitaxel Compared With Paclitaxel Plus Bevacizumab in Advanced Breast Cancer: ECOG 2100
Schneider, Bryan P. , Wang, Μolin , Radovich, Milan , Thor, Ann D. , Flockhart, David A., Hancock, Bradley A., Davidson, Nancy E. , Perez, Edith A. , Cobleigh, Melody , Shenkier, Tamara, Edgerton, Susan M., Sledge, George W. , Badve, Sunil , Gralow, Julie R. , Dickler, Maura N. , Miller, Kathy D.

Journal of Clinical Oncology | September 29, 2008 | Volume: 26 | Issue: 28 | Pages: 4672-4678

10.1200/jco.2008.16.1612 Get It

Purpose No biomarkers have been identified to predict outcome with the use of an antiangiogenesis agent for cancer. Vascular endothelial growth factor (VEGF) genetic variability has been associated with altered risk of breast cancer and variable promoter activity. Therefore, we evaluated the association of VEGF genotype with efficacy and toxicity in E2100, a phase III study comparing paclitaxel versus paclitaxel plus bevacizumab as initial chemotherapy for metastatic breast cancer. Patients and Methods DNA was extracted from tumor blocks of patients from E2100. Three hundred sixty-three samples were available to evaluate associations between genotype and outcome. Genotyping was performed for selected polymorphisms in VEGF and VEGF receptor 2. Testing for associations between each polymorphism and efficacy and toxicity was performed. Results The VEGF-2578 AA genotype was associated with a superior median overall survival (OS) in the combination arm when compared with the alternate genotypes combined (hazard ratio = 0.58; 95% CI, 0.36 to 0.93; P = .023). The VEGF-1154 A allele also demonstrated a superior median OS with an additive effect of each active allele in the combination arm but not the control arm (hazard ratio = 0.62; 95% CI, 0.46 to 0.83; P = .001). Two additional genotypes, VEGF-634 CC and VEGF-1498 TT, were associated with significantly less grade 3 or 4 hypertension in the combination arm when compared with the alternate genotypes combined (P = .005 and P = .022, respectively). Conclusion Our data support an association between VEGF genotype and median OS as well as grade 3 or 4 hypertension when using bevacizumab in metastatic breast cancer.