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Andring, Jacob T.

0000-0002-6632-6391

Mayo Clinic

Caris Life Sciences (United States)

Citations 3

Abstract PO4-24-01: Comprehensive Molecular and Immunological Characterization of Invasive Ductal Triple-Negative Breast Cancer
Advani, Pooja , Deshmukh, Sachin Kumar , Wu, Sharon , Xiu, Joanne , Leone, José Pablo , Chanan‐Khan, Asher , Andring, Jacob T. , Farrell, Alex Patrick , Jayachandran, Priya , Graff, Stephanie L. , Oberley, Matthew J. , Sledge, George W.

Cancer Research | May 2, 2024 | Volume: 84 | Issue: 9_Supplement | Pages: PO4-24-01-PO4-24-01

10.1158/1538-7445.sabcs23-po4-24-01 Get It

Abstract Background: Triple-negative breast cancer (TNBC) is a heterogeneous disease and characterized by poor outcomes with a lack of targeted therapies. A comprehensive analysis of the molecular and immune landscape of invasive ductal TNBC can help improve our understanding of TNBC biology and identify novel targets and/or pathways for better management of this disease. Here, we characterized the molecular and immune signature of invasive ductal (ID) TNBC. Methods: 13,036 BC samples (ID TNBC, n=392; ID non-TNBC, n=927) were analyzed by NGS (592, NextSeq; WES, NovaSeq), 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. Immune cell fractions were calculated by deconvolution of WTS: Quantiseq. Real world overall survival (OS) and treatment-associated survival was extracted from insurance claims and calculated from tissue collection or treatment start 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: ID TNBC had a higher frequency of TP53, RB1, NF1, PIK3R1, NOTCH1, CREBBP, BRCA1, FANCI, and HRAS mutations (Table 1), NOTCH2 (4.3% vs 0.47%), EGFR (3.4% vs 0%), NFIB (4% vs 0.6%), MYB (3.5% vs 0.5%), CCNE1 (4.4% vs 1.1%) and AKT2 (2.4% vs 0.3%) copy number alterations, and NOTCH2 (1.6% VS 0.2%) fusion (all p < 0.05) compared to invasive ductal non-TNBC. Analysis of inferred immune cell infiltrates showed that ID TNBC had increased infiltration of Tregs (2% vs 1.7%), DC (3.2% vs 2.4%), CD8 T cells (0.5% vs 0.1%), and M1 macrophages (M) (3.4% vs 2.9%), but decreased infiltration of B cells (4.5% vs 6%) and M2M (2.9% vs 4.5%) (all p < 0.05). ID TNBC had increased T cell inflamed score (23 vs -9, p < 0.05), IFNy score (-0.24 vs -0.34, p < 0.05), MHC class I genes (HLA-A, HLA-B, TAP1, TAP2, FC: 1.1-1.5, all p < 0.05), immune checkpoint genes (CD274, PDCD1, CTLA4, PD-L2, FOXP3, IDO, FC: 1.1-2, all p < 0.05) and PD-L1 protein expression (SP142: 49.8% vs. 28.4%; 22c3: 41.7% vs. 16.8%, all p < 0.05). ID TNBC had differential expression of BCL2 family genes (upregulation: BAK1, BID, MCL1, BCL2A1, BCL2L10, FC: 1.1-2.0; downregulation: BAD, BIK, BBC3, BCL2, BCL2L1, BCL2L2, FC: 1.2-2.8, all p < 0.05) compared to invasive ductal non-TNBC. ID TNBC was associated with worse OS compared to ID non-TNBC (mOS: 24.5 vs 54.6 months; HR: 0.5, 95% CI 0.47-0.57; p < 0.00001) but trend towards better survival with pembrolizumab (mOS: 29.4 vs 8.8 month; HR: 0.67, 95% CI 0.28-1.5; p=0.3) treatment. No significant OS difference was noted for by high vs. low pro and anti-apoptotic BCL2 genes except for anti-apoptotic BCL2A1 (higher expression associated with better OS (mOS: 5.7 months, HR: 0.78, 95% CI 0.6-0.99; p=0.047). Conclusion: These data indicate that ID TNBC is associated with distinct mutational profile compared to non-TNBC, has increased T cell inflamed score, IFNy score, MHC class I and immune checkpoint gene expression, and differential immune cell infiltration. Interestingly, TNBC was associated with increased M1 and decreased M2M. There is evidence to suggest that transcriptomically defined M1 high tumors are clinically aggressive and have worse OS in TNBC. BCL2 family genes are not prognostic for TNBC outcomes except BCL2A1, which needs further prospective validation. Table 1: Mutation frequency in invasive ductal TNBC and invasive ductal non-TNBC Citation Format: Pooja Advani, Sachin Deshmukh, Sharon Wu, Jacob Andring, Joanne Xiu, Alex Farrell, Jose Leone, Priya Jayachandran, Stephanie Graff, Matthew Oberley, George Sledge Jr, Asher Chanan-Khan. Comprehensive Molecular and Immunological Characterization of Invasive Ductal 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 PO4-24-01.
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.
Abstract 7037: Comprehensive molecular and immune profiling of triple negative invasive lobular carcinoma
Advani, Pooja , Deshmukh, Sachin Kumar , Wu, Sharon , Xiu, Joanne , Leone, José Pablo , Chanan‐Khan, Asher , Andring, Jacob T. , Jayachandran, Priya , Graff, Stephanie L. , Oberley, Matthew J. , Sledge, George W.

Cancer Research | March 22, 2024 | Volume: 84 | Issue: 6_Supplement | Pages: 7037-7037

10.1158/1538-7445.am2024-7037 Get It

Abstract Background: Triple-negative invasive lobular carcinoma (TN-ILC) is a rare (0.1-1.4%) breast cancer with prognosis worse than ER positive ILC. Currently there are no targeted therapies or clinical trials specifically for TN-ILC. A comprehensive analysis of the molecular and immune landscape can help identify novel targets and pathways for TN-ILC to improve patient outcomes. Here, we characterized the molecular and immune signature of TN-ILC. Methods: 11,760 breast cancer samples (Invasive ductal (ID) TNBC, n=364; TN-ILC, n=31) were analyzed (592, NextSeq; WES, NovaSeq), (WTS; NovaSeq) (Caris Life Sciences, Phoenix, AZ). Tumor mutational burden (TMB) totaled somatic mutations per tumor (high ≥10 mt/MB) was tested by NGS. Microsatellite-instability (MSI) was tested by NGS. Immune cell fractions were calculated by deconvolution of WTS. Statistical significance was determined using chi-square and Mann-Whitney U test with p-values adjusted for multiple comparisons (q < 0.05). Results: TN-ILC had higher frequency of CDH1 (0.83% vs. 66.67%), ERBB2 (0.84% vs.28.57%), ARID1A (1.65% vs. 23.33%), CBFB (0.55% vs.16.67%), AKT1 (2.22% vs.16.13%) and KMT2C (3.83% vs.13.79%), but lower frequency of TP53 (89.7%5 vs. 38.71%) mutations (all p<0.05) compared to ID-TNBC. TN-ILC had higher frequency of TMB high (23.3% vs. 5.2%, p<0.05) but there was no difference in dMMR/MSI-H (0% vs 1.1%, p=1). TN-ILC had higher AR RNA (FC: 14.2), protein expression (80.6% vs. 24.8%) and higher frequency of fusion variant-AR (16.1% vs 4.9%) (all p < 0.05) compared to ID-TNBC. Analysis of inferred immune cell infiltrates showed that TN-ILC had higher infiltration of M2 macrophages (5.34% vs. 2.94%) and neutrophils (4.83% vs. 2.65%) but lower infiltration of M1 macrophages (3.46% vs 2.17%) and CD8 T cells (0.58% vs. 0.11%) (all p<0.05). TN-ILC had lower T cell inflamed signature (16.1% vs 35.7%, p<0.05), decreased immune checkpoint genes (CD274, CTLA4, FOXP3, LAG3, IDO, FC: 1.2-2.7, all p < 0.05), PD-L1 protein expression (SP142: 30.4% vs. 50.2%, p=0.06; 22c3: 15.4% vs. 42.6%, p = 0.05) and differential expression of BCL2 family genes (upregulation: BIK, FC: 2.2; downregulation: BAX, BAK1, BID, PMAIP1, MCL1, BCL2A1, BCL2L10, FC: 1.0-6.3, all p < 0.05) compared to ID-TNBC. Conclusion: These data suggest that TN-ILC had higher frequency of CDH1, ERBB2, AKT1, ARID1A mutations, higher M2 macrophages and neutrophils and lower M1 macrophages and CD8 T cells infiltration and, lower T cell inflamed signature. High TMB and AR expression can translate into use of immunotherapy (ICI) and AR antagonists in these patients. Additonal analysis to determine the optimal biomarker for ICI response in TN-ILC is needed. Results of our study need to be validated in larger studies with survival correlation. Citation Format: Pooja Advani, Sachin Deshmukh, Sharon Wu, Jacob Andring, Joanne Xiu, Jose Leone, Priya Jayachandran, Stephanie Graff, Mathew Oberley, George Sledge, Asher Chanan-Khan. Comprehensive molecular and immune profiling of triple negative invasive lobular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7037.