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Baca, Yasmine

0000-0003-2130-0611

Mayo Clinic

Caris Life Sciences (United States)

Citations 4

Characterizing outcomes of biliary tract cancers (BTC) with β-catenin (CTNNB1) alterations.
Chow, Lydia D., Hanna, Diana L. , Ganguly, Rituparna, Pai, Jonathan , Misirian, Ani , Algaze, Sandra , Akce, Mehmet , Iqbal, Syma , Shroff, Rachna T. , Lenz, Heinz‐Josef , Baca, Yasmine , Philip, Philip A. , Bekaii‐Saab, Tanios , El-Khoueiry, Anthony B.

Journal of Clinical Oncology | June 21, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 4107-4107

10.1200/jco.2024.42.16_suppl.4107 Get It

4107 Background: Aberrant Wnt/β-catenin activation has been implicated in tumor formation and progression in BTC. CTNNB1 is a key transcriptional co-activator in Wnt signaling. The impact of CTNNB1 alterations on outcomes in intrahepatic (IHCC) vs extrahepatic (EHCC) vs gallbladder (GB) tumors and patterns of gene co-expression is unclear. We examined the molecular correlates and predictive and prognostic significance of CTNNB1 expression in a real-world cohort of pts with BTC. Methods: 7450 BTC tumors were analyzed using Next Generation Sequencing (NextSeq), Whole Exome and Whole Transcriptome Sequencing (NovaSeq) at Caris Life Sciences (Phoenix, AZ). Top quartile transcripts per million (TPM) expression was considered high expressors (Q4), bottom quartile was considered low expressors (Q1) within each subtype. Real-world overall survival (OS) data was obtained from insurance claims. Hazard ratio (HR) was calculated using Cox proportional hazards model, P values were calculated using log-rank test. Significance was determined to be p <0.05. Chi-square and Mann-Whitney tests determined molecular differences between subgroups and adjusted for multiple comparisons (q<0.05). Results: The cohort was comprised of 61% IHCC, 14% EHCC, 23% GB, 2% NOS. CTNNB1 mutations are rare in BTC (1.3%). Pts with CTNNB1-wt tumors had significantly better OS vs CTNNB1-mt (13.6 vs 10.2 mo, HR 0.74, p=0.008). This association remained significant in IHCC (13.2 vs 4.5 mo, HR 0.64, p=0.031) but not EHCC (18.0 vs 11.8 mo, HR 0.87, p=0.64) or GB (12.9 vs 11.0 mo, HR 0.75, p=0.071). CTNNB1-mt tumors were more frequently TP53-mt (63% vs 41%), ERBB2-mt (9% vs 2%) and ATM-mt (9% vs 3%). CTNNB1-wt tumors were more likely BAP-mt (9% vs 0%) and IDH1-mt (10% vs 0%) (all q<0.05). CTNNB1-mt tumors had higher median CTNNB1 expression vs wt (154.9 vs 113.4, q<0.009). Pts with CTNNB1 Q1 expression had significantly better OS vs Q4 (14.5 vs 12.4 mo, HR 0.88, p=0.007). This association held in IHCC (15.0 vs 10.6 mo, HR 0.77, p<0.00001) but not EHCC (17.5 vs 19.9 mo, HR 1.05, p=0.70) or GB (12.4 vs 12.8 mo, HR 1.05, p=0.63). CTNNB1 Q4 expressing tumors were more likely to be TP53-mt (55% vs 34%), PIK3CA-mt (9% vs 5%), KRAS-mt (23% vs 12%) and less likely IDH1-mt (4% vs 14%) compared to Q1 (all q<0.05). CTNNB1 Q4 pts had higher ARID1A, CTLA4, LAG3, HIF1A, TGFB1/2/3, EPHB4, EPHA2, VEGFA expression (FC: 2.1-4.2, all q<0.05) and higher T-cell inflamed score vs Q1. There was a trend towards improved OS in pts with IHCC CTNNB1 Q1 tumors receiving gemcitabine or fluorouracil (17.5 vs 15.0 mo, HR 0.86, p=0.064); no difference in outcomes by CTNNB1 expression in pts receiving immunotherapy. Conclusions: CTNNB1 mutations and mRNA expression levels impact survival in BTC, especially IHCC, and may be associated with benefit from chemotherapy. CTNBB1 alterations are associated with immunogenic, DNA repair and angiogenic pathways and may help identify novel therapeutic strategies for BTC.
Impact of CTNNB1 alterations on outcomes in patients with hepatocellular carcinoma (HCC).
Pai, Jonathan , Ganguly, Rituparna, Akce, Mehmet , Algaze, Sandra , Chow, Lydia D., Misirian, Ani, Hanna, Diana L. , Lenz, Heinz‐Josef , Iqbal, Syma , Shroff, Rachna T. , Baca, Yasmine , Misirian, Ani , Marshall, John K. , Borad, Mitesh J. , El-Khoueiry, Anthony B.

Journal of Clinical Oncology | June 21, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 4106-4106

10.1200/jco.2024.42.16_suppl.4106 Get It

4106 Background: The WNT/beta catenin (CTNNB1) pathway plays an integral role in the development of HCC. CTNNB1 has been implicated in HCC progression, metastasis, and drug resistance. We examined associations between CTNNB1 mutations and mRNA expression and clinical outcomes in a real-world cohort of patients with HCC. Methods: 1652 HCC tumors were tested at Caris Life Sciences (Phoenix, AZ) and analyzed with Whole Transcriptome Sequencing (WTS; Illumina Novaseq), Whole Exome Sequencing (NovaSeq,WES) and NextGen DNA sequencing (NextSeq, 592 genes). mRNA expression (transcripts per million) was further stratified into top (Q4) and bottom quartiles (Q1). Kaplan Meier estimates were calculated for overall survival (OS) in the molecularly defined cohorts and estimated from time of tissue collection to last contact. Significance was determined to be p <0.05. Chi-square and Mann-Whitney tests determined molecular differences between subgroups and adjusted for multiple comparisons (q<0.05). Results: Pathogenic CTNNB1 mutations were present in 32% of HCC and mutation status was not associated with CTNNB1 expression level. Pts whose tumors had lower CTNNB1 expression had significantly improved OS, 17.9 vs 12.4 months, Q1 vs Q4, HR 0.72, CI: 0.58-0.89 p=0.002. This association remained significant in patients who received first-line IO (Q1 vs Q4: OS 16.7 vs 10.6 mo, HR 0.54, CI: 0.32-0.94, p=0.025) or TKI (Q1 vs Q4: OS 27.1 vs 17.6 mo, HR 0.60, CI: 0.38-0.94, p=0.025). Low CTNNB1-expressing tumors (Q1) had more frequent ARID1A mutations (15% vs 8%); less frequent TP53 mutations (31% vs 42%); lower VEGFA, EPHB4, EPHA2, HIF1A, TGFB1/2/3 expression, lower MAPK activation and lower T-cell inflamed scores vs Q4 tumors (all q < 0.05). All tumors were MSS. CTNNB1 mutation status (MT vs WT) did not impact survival (OS 17.6 vs 15.3 mo, CTNNB1-MT vs CTNNB1-WT, HR 1.05, CI: 0.91-1.20, p=0.55). Similarly, CTNNB1 mutation status (MT vs WT) did not impact OS in pts treated with IO (19.8 vs 19.6 mo, HR 0.99, p=0.94) or TKI (23.0 vs 22.0 mo, HR 0.86, p=0.33). Conclusions: CTNNB1 mRNA expression, but not CTNNB1 mutation status, is associated with survival in HCC. Patients whose tumors had lower CTNNB1 expression appeared to derive more benefit from immune checkpoint inhibitors and TKI therapy in first line. CTNNB1 expression is associated with DNA repair, immune, neuronal and angiogenic pathways which may pave the way for potential therapeutic opportunities. Further studies are needed to prospectively evaluate CTNNB1 as a biomarker for treatment selection in HCC.
CCR5 and CCL5 gene expression in colorectal cancer: comprehensive profiling and clinical value
Battaglin, Francesca , Millstein, Joshua , Yang, Yan , Xiu, Joanne , Arai, Hiroyuki , Wang, Jingyuan , Innocenti, Federico , Kawanishi, Natsuko , Lenz, Annika , Algaze, Sandra , Zhang, Wu, Khoukaz, Taline, Torres, Evanthia T. Roussos , Seeber, Andreas , Abraham, Jim , Shields, Anthony F. , Goldberg, Richard M. , Lenz, Heinz‐Josef , Arai, Hiroyuki , Lou, Emil , Lenz, Heinz-Josef , Baca, Yasmine , Wang, Jingyuan , Ou, Fang‐Shu , Mumenthaler, Shannon M. , Jayachandran, Priya , Soni, Shivani , Lou, Emil , Philip, Philip A. , Weinberg, Benjamin A. , Marshall, John L , Venook, Alan P. , Korn, Wolfgang Michael

Journal for ImmunoTherapy of Cancer | January 11, 2024 | Volume: 12 | Issue: 1 | Pages: e007939

10.1136/jitc-2023-007939 Get It

Background The C-C motif chemokine receptor 5 (CCR5)/C-C motif chemokine ligand 5 (CCL5) axis plays a major role in colorectal cancer (CRC). We aimed to characterize the molecular features associated with CCR5 / CCL5 expression in CRC and to determine whether CCR5 / CCL5 levels could impact treatment outcomes. Methods 7604 CRCs tested with NextGen Sequencing on DNA and RNA were analyzed. Molecular features were evaluated according to CCR5 and CCL5 tumor gene expression quartiles. The impact on treatment outcomes was assessed in two cohorts, including 6341 real-world patients and 429 patients from the Cancer and Leukemia Group B (CALGB)/SWOG 80405 trial. Results CCR5 / CCL5 expression was higher in right-sided versus left-sided tumors, and positively associated with consensus molecular subtypes 1 and 4. Higher CCR5 / CCL5 expression was associated with higher tumor mutational burden, deficiency in mismatch repair and programmed cell death ligand 1 (PD-L1) levels. Additionally, high CCR5 / CCL5 were associated with higher immune cell infiltration in the tumor microenvironment (TME) of MMR proficient tumors. Ingenuity pathway analysis revealed upregulation of the programmed cell death protein 1 (PD-1)/PD-L1 cancer immunotherapy pathway, phosphatase and tensin homolog (PTEN) and peroxisome proliferator-activated receptors (PPAR) signaling, and cytotoxic T-lymphocyte antigen 4 (CTLA-4) signaling in cytotoxic T lymphocytes, whereas several inflammation-related pathways were downregulated. Low CCR5 / CCL5 expression was associated with increased benefit from cetuximab-FOLFOX treatment in the CALGB/SWOG 80405 trial, where significant treatment interaction was observed with biologic agents and chemotherapy backbone. Conclusions Our data show a strong association between CCR5/CCL5 gene expression and distinct molecular features, gene expression profiles, TME cell infiltration, and treatment benefit in CRC. Targeting the CCR5/CCL5 axis may have clinical applications in selected CRC subgroups and may play a key role in developing and deploying strategies to modulate the immune TME for CRC treatment.
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.