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Spetzler, David B.

0000-0002-9531-0970

Mayo Clinic

Caris Life Sciences (United States)

Citations 3

The differential effect of stromal genes on gemcitabine/nab-paclitaxel (GN) and GN/cisplatin (GCN) outcomes in advanced pancreatic adenocarcinoma (aPDAC).
Mahadevia, Himil , Wu, Sharon , Starr, Jason S. , O’Donnell, Conor, Ahn, Daniel H. , Xiu, Joanne , Shawa, Hani El, Kulkarni, Ninad , McWilliams, Robert R. , Majeed, Umair , Jones, Jeremy C , Mosalem, Osama , Sledge, George W. , Philip, Philip A. , Goel, Sanjay , Spetzler, David B. , Singh, Harshabad , Borad, Mitesh J. , Bekaii‐Saab, Tanios , Babiker, Hani M.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 4166-4166

10.1200/jco.2025.43.16_suppl.4166 Get It

4166 Background: GN is a front-line therapy for aPDAC. A Phase I/II study demonstrated that GCN has a higher overall response rate and median overall survival (mOS). Our previous study found no difference in outcomes among patients with DNA damage repair gene mutations; however, stromal gene expression correlated with mOS in patients receiving GCN. Here, we further evaluate differences in the outcomes with GCN and GN by site of biopsy. Methods: PDAC samples (n = 4,463) were analyzed by NGS (NextSeq/NovaSeq) or RNA (NovaSeq) (Caris Life Sciences, Phx, AZ). Expression of stromal and related genes ( ACTA2, ADIRF, HAS2, IL-6, MMP-2, MMP-9, SPARC, STAT3, TBGB1, TGFB2, TGFBR3, IDO1, HLA-DRB4, VEGFB) from different biopsy sites [high expression (H) >50% of RNA transcripts per million] was correlated with outcomes to GCN or GN. mOS was obtained from insurance claims and calculated from first treatment to last contact. The hazard ratio (HR) was calculated by the Cox proportional hazards model, and p-values were calculated using the log-rank test. Results: 4325 patients [primary biopsy (PT), n = 1,878; non-liver metastatic biopsy (N-LM), n = 818; Liver biopsy (LM), n = 1,629] received GN while 138 patients (PT, n = 45; N-LM, n = 28; LM, n = 65) received GCN. GCN was associated with longer mOS than GN [∆: 5.2 months (m), HR: 0.76, 95% CI 0.63-0.92, p = 0.01]. GCN was associated with longer mOS compared to GN in LM (∆: 5.6 m, HR: 0.66, 95% CI 0.50-0.87, p = 0.003), but it was not significant in PT (∆: 4.6 m, p = 0.13) and N-LM (∆: 4.4 m, p = 0.35). Median MMP2 (38.5 vs. 163.1 vs. 162.2), VEGFB (14.4 vs. 16.9 vs. 16.2) and TGFBR3 (11.4 vs. 15 vs. 16.4) expression were lower in LM compared to PT and N-LM while TGFB1 (41.6 vs. 34.5 vs. 39.8) and IL6 (1.61 vs. 1.19 vs. 1.41) expression were highest in LM (p < 0.05). In LM, IL6 -H (∆: -11 m, p = 0.037) and TGFB1 -H (∆: -5.9 m, p = 0.10) were associated with worse post-GCN survival compared to GN (p = 0.82 and p = 0.57). Whereas, in N-LM, TGFBR3 -H trended towards longer post-GCN survival (∆: 12 m, p = 0.18), while ADIRF -H trended towards shorter post-GCN survival (∆: -12 m, p = 0.056) compared to GN (p = 0.42 and p = 0.10). While in PT, MMP2 -H (∆: 11.3m, HR: 0.46, p = 0.16), TGFB1 -H (∆: 11.3 m, HR: 0.33, p = 0.09), HLA-DRB4 -H (∆: 12.9 m, HR: 0.44, p = 0.11) and VEGFB -H (∆: 10.7, HR: 0.34, p = 0.09) trended towards longer post-GCN survival compared to GN ( MMP2 -H, ∆: 3.4 m, p = 0.03, TGFB1 -H, p = 0.661, HLA-DRB4 -H, p = 0.67, VEGFB-H , ∆: 1.3 m, p = 0.03). Conclusions: GCN is associated with improved mOS compared to GN, especially in LM.Stromal gene expression in the liver differs from that in N-LM and the pancreas. While high stromal gene expression trends towards worse post-GCN survival in LM, it is associated with improved survival in N-LM and PT. Further validation is needed to understand the impact of stromal gene expression in different tumor sites on survival outcomes and signature development.
Targeted gene expression profiling predicts meningioma outcomes and radiotherapy responses
Raleigh, David R. , Youngblood, Mark W. , Polley, Mei‐Yin C. , Mirchia, Kanish , Won, Minhee , Harmanci, Arif , Vasudevan, Harish N. , Yu, Theresa, Bhave, Varun , Lam, Tai‐Chung , Pu, Jenny Kan-Suen, Chang, Jason Y. , Haberler, Christine , Mawrin, Christian , Rood, Brian , Chew, Jessica, Boreta, Lauren , Butowski, Nicholas , Bush, Nancy Ann Oberheim , Chandler, James P. , Rogers, Leland , Pugh, Stephanie L. , Sneed, Penny K. , Raleigh, David , Choudhury, Abrar , Youngblood, Mark , Leung, Gilberto , Palmer, Joshua D , Berghoff, Anna , Preusser, Matthias , Santagata, Sandro , Solomon, David A , Horbinski, Craig , Perry, Arie , Sahm, Felix , Chen, William C. , Lucas, Calixto‐Hope G. , Maas, Sybren L. N. , Suwala, Abigail Kora , Bayley, James C. , Harmancı, Akdes Serin , Klisch, Tiemo Jürgen , Nguyen, Minh , McCortney, Kathleen , Perlow, Haley K. , Palmer, Joshua D. , Preusser, Matthias , Nicolaides, Theodore , Agnihotri, Sameer , Resnick, Adam , Young, Jacob S. , Braunstein, Steve , Schulte, Jessica D. , Spetzler, David B. , Villanueva-Meyer, Javier E. , Solomon, David A. , Mehta, Minesh P. , Berger, Mitchel S. , Horbinski, Craig , McDermott, Michael , Perry, Arie , Bi, Wenya Linda , Patel, Akash J. , Sahm, Felix , Magill, Stephen T.

No container title available | March 20, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2663611/v1 Get It

Abstract Background Surgery is the mainstay of treatment for meningioma, the most common primary intracranial tumor, but improvements in meningioma risk stratification are needed and current indications for postoperative radiotherapy are controversial. Recent studies have proposed prognostic meningioma classification systems using DNA methylation profiling, copy number variants, DNA sequencing, RNA sequencing, histology, or integrated models based on multiple combined features. Targeted gene expression profiling has generated robust biomarkers integrating multiple molecular features for other cancers, but is understudied for meningiomas. Methods Targeted gene expression profiling was performed on 173 meningiomas and an optimized gene expression biomarker (34 genes) and risk score (0 to 1) was developed to predict clinical outcomes. Clinical and analytical validation was performed on independent meningiomas from 12 institutions across 3 continents (N = 1856), including 103 meningiomas from a prospective clinical trial. Gene expression biomarker performance was compared to 9 other classification systems. Results The gene expression biomarker improved discrimination of postoperative meningioma outcomes compared to all other classification systems tested in the independent clinical validation cohort for local recurrence (5-year area under the curve [AUC] 0.81) and overall survival (5-year AUC 0.80). The increase in area under the curve compared to the current standard of care, World Health Organization 2021 grade, was 0.11 for local recurrence (95% confidence interval [CI] 0.07–0.17, P < 0.001). The gene expression biomarker identified meningiomas benefiting from postoperative radiotherapy (hazard ratio 0.54, 95% CI 0.37–0.78, P = 0.0001) and re-classified up to 52.0% meningiomas compared to conventional clinical criteria, suggesting postoperative management could be refined for 29.8% of patients. Conclusions A targeted gene expression biomarker improves discrimination of meningioma outcomes compared to recent classification systems and predicts postoperative radiotherapy responses.
Survival of patients with colorectal cancer (CRC) with low expression of homologous recombination proficient (HRP) genes.
Walden, Daniel , Deshmukh, Sachin Kumar , Zheng-Lin, Binbin , Wu, Sharon , Xiu, Joanne , Ahn, Daniel H. , Wu, Christina, Shields, Anthony F. , Batalini, Felipe , Lou, Emil , Goel, Sanjay , Spetzler, David B. , Oberley, Matthew J. , Korn, Wolfgang Michael , Bekaii‐Saab, Tanios

Journal of Clinical Oncology | January 24, 2023 | Volume: 41 | Issue: 4_suppl | Pages: 225-225

10.1200/jco.2023.41.4_suppl.225 Get It

225 Background: HR deficient (HRD) CRC has improved outcomes following exposure to DNA damaging agent (DDA) (irinotecan, IR; oxaliplatin, OX) compared to HRP CRC. Low expression of wild type (WT) BRCA1 mRNA is associated with prolonged OS in ovarian cancer; however, this finding has not been investigated in CRC or outside of BRCA. Here, we examine the effect of low expression of HR genes in HRP CRC on post-DDA survival. Methods: 12,860 CRC samples were analyzed by NGS (592, NextSeq; WES, NovaSeq) and WTS (NovaSeq) at Caris Life Sciences (Phoenix, AZ). Samples were classified by RNA expression percentiles. Real world OS was extracted from insurance claims and calculated using Kaplan-Meier estimates for molecularly defined cohorts from first of OX or IR to last contact. Results: Post-IR survival was prolonged with low expression of ATM, CHEK2 and PALB2 in WT ATM, PALB2, and CHEK2 WT CRC, respectively (bottom vs. top 10%, bottom vs. top 25%; p<0.05). Notably, low PALB2 expression (bottom 10%) showed a 14.5-month post-IR benefit compared to high PALB2 expression (top 10%) in WT PALB2 CRC (p=0.003). Post-OX survival was not significantly prolonged with low expression of CHEK2 in WT CHEK2 CRC (bottom 10% vs top 10%, bottom 25% vs top 25%) but was with low expression of ATM (+9.7 months, p=0.02) and PALB2 (+5.6 months, p=0.03) in WT ATM and PALB2 CRC, respectively (all bottom 25% vs top 25%). Conclusions: Here we report the first findings to suggest a novel subclass of CRC defined as the low expression of mRNA of non-mutated HRD genes that exhibit sensitivity to DDA. Low expression of WT ATM, CHEK2, and PALB2 correlates with prolonged OS following IR, post-OX survival was prolonged with low expression of ATM and PALB2. Further characterization defining sensitivity of low expressing HRP genes to DDA may help guide treatment considerations in HRP CRC. [Table: see text]