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Klebig, Mitch L.

Mayo Clinic

Mayo Clinic in Arizona

Citations 2

Abstract 5253: Molecular correlates of progression-free survival in recurrent gliomas treated with pembrolizumab
Kateb, Hussam Al, Campian, Jian L., Ensign, Shannon P. Fortin, Galanis, E., Hammack, J. E., Ida, Cristaine M., Klebig, Mitch L., Kaufmann, Timothy J., Moon, Autumn C., Mrugala, Maciej , Neth, Bryan J. , aPorter, Alyx B., Ruff, Michael W. , Sherman, Wendy J., Uhm, Joon H. , Kizilbash, Sani H., Ensign, Shannon P. Fortin , Neth, Byran J. , Ensign, Shannon P. Fortin , Shafqat, Shameel , Maqbool, Muhammad Asad , Al‐Kateb, Hussam , Burns, Terry C. , Campian, Jian , Hammack, Julie E., Ida, Cris, Klebig, Mitchell, Kaufmann, Timothy J. , Sener, Uğur , Sherman, Wendy, Vaubel, Rachael A. , Kizilbash, Sani H.

Cancer Research | April 3, 2026 | Volume: 86 | Issue: 7_Supplement | Pages: 5253-5253

10.1158/1538-7445.am2026-5253 Get It

Abstract Background: Pembrolizumab has been increasingly used off label for recurrent gliomas, yet biomarkers predicting response are poorly defined. Gliomas exhibit substantial molecular heterogeneity across Glioblastoma, IDH-wildtype (GBM), Astrocytoma, IDH-Mutant (A-IDHm), and Oligodendroglioma, 1p/19q co-deleted (OLIGO), which may influence immunotherapy efficacy. This study aimed to identify molecular predictors of progression-free survival (PFS) in recurrent glioma patients treated with pembrolizumab. Methods: Adults ≥18 years with recurrent glioma receiving ≥2 cycles of pembrolizumab between 2014 - 2024 were retrospectively identified across Mayo Clinic. Next-generation sequencing (NGS) reports were reviewed and archival tumor tissue resected prior to pembrolizumab initiation was analyzed when available. Comprehensive molecular profiling was performed using the Mayo Clinic Solid Tumor Panel which employs the Illumina Tru-Sight Oncology 500 High-Throughput NGS assay. Progression was assessed using RANO 2.0 criteria. Genomic alterations (clinically relevant sequences and/or copy-number variants) were evaluated using the Kaplan-Meier method, with differences in PFS compared using the log-rank test. Results: Thirty-three patients were included [median (range) age: 44.0 (21-76) years; 63.6% male]. The interval between tumor tissue sampling and pembrolizumab initiation was 9.9 (0.9-176.1) months, and median treatment duration was 2.8 (1.4-10.4) months. Median PFS for the overall cohort was 2.4 (0.8-15.2) months, and median overall survival from pembrolizumab initiation was 6.9 (0.9-48.2) months. Patients with OLIGO (n=8) had a longer PFS [4.6 (1.9-15.2) months] than either A-IDHm [n=11; PFS 2.1 (1.1-4.4) months] or GBM [n=14; PFS 2.3 (0.8-9.2) months]. Within OLIGO, CDKN2A/B heterozygous deletion (n=3) predicted a shorter PFS (3.9 vs 10.9 months; p=0.0462), while in A-IDHm, FANC mutation (n=2) was associated with a longer PFS (4.17 vs 1.61 months; p=0.0224). No significant associations with PFS were observed for other altered genes or pathways evaluated, including but not limited to Tumor Mutational Burden, EGFR, RB1, TP53, FUBP1, NF 1 or 2, PTEN, PDGFRA, PIK3CA, PIK3R1, CDK4, KRAS, MLH1, MLH2, MSH6 genomic alterations or CDKN2A/B homozygous deletion (all p>0.05). Conclusions: Pembrolizumab shows limited overall efficacy in recurrent gliomas, however, exploratory analyses identified several subtype-specific genomic alterations that may correlate with PFS. These hypothesis-generating findings highlight the potential influence of underlying tumor biology on immunotherapy response and warrant further validation in larger, prospective cohorts. Citation Format: Shameel Shafqat, Muhammad Asad Maqbool, Hussam Al Kateb, Terry C. Burns, Jian L. Campian, Shannon P. Fortin Ensign, Evanthia Galanis, Julie E. Hammack, Cristaine M. Ida, Mitch L. Klebig, Timothy J. Kaufmann, Autumn C. Moon, Maciej M. Mrugala, Bryan J. Neth, Alyx B. aPorter, Michael W. Ruff, Ugur T. Sener, Wendy J. Sherman, Joon H. Uhm, Rachael A. Vaubel, Sani H. Kizilbash. Molecular correlates of progression-free survival in recurrent gliomas treated with pembrolizumab [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5253.
Abstract A012: Mis-Annotation of an HMGA2::NCOR2 Fusion in FFPE Sarcoma Samples: A Case Illustrating Bioinformatic Limitations in Fusion Detection
Pujari, Ganesh P., Klebig, Mitch L., Willkom, Kurt S., Chhunn, Montha, Nelson, Siri, Saha, Neiladri , Halling, K., Pujari, Ganesh P. , Klebig, Mitchell, Willkomm, Kurt S., Halling, Kevin C.

Cancer Research | January 13, 2026 | Volume: 86 | Issue: 1_Supplement | Pages: A012-A012

10.1158/1538-7445.fusionpositive26-a012 Get It

Abstract Introduction Accurate detection of gene fusions is critical for the diagnosis and management of sarcomas. However, occasional false-negative results may occur due to factors such as low tumor cellularity, limited assay coverage of relevant genomic regions, or mis-annotation by bioinformatic pipelines. We recently encountered a case in which our clinical SARCP fusion detection assay failed to identify an HMGA2::NCOR2 (exon 3–exon 16) fusion. Method The SARCP assay is a targeted, amplicon-based RNA-seq next-generation sequencing (NGS) assay designed to detect gene fusions across 138 genes, including HMGA2. Although NCOR2 is not among the targeted genes, the assay is capable of detecting fusions when only one gene partner is represented. Results Suspicion of a false-negative result arose when the pathologist noted that the tumor’s histologic features—keratin-positive, giant cell-rich soft tissue—were consistent with a subtype previously associated with the HMGA2::NCOR2 fusion. This prompted a review of the bioinformatic output, which had erroneously reported an HMGA2::MAML2 fusion. The misannotation was traced to sequence homology involving a CAA/CAG repeat at the 5′ end of NCOR2 exon 16, likely resulting from DNA polymerase slippage and misalignment in low-complexity, partially complementary repetitive regions. This erroneously lead to the target genomic sequence getting mapped to MAML2 exon 2 as opposed to the NCOR2 exon 16. Discussion This case highlights how bioinformatic mis-annotation can lead to occasional false-negative fusion calls. It underscores the importance of manual review in cases with strong clinical or pathologic suspicion and calls attention to the need for fusion-calling algorithms that better handle repetitive and homopolymeric sequences. Citation Format: Ganesh P. Pujari, Mitch L. Klebig, Kurt S. Willkom, Montha Chhunn, Stefan W. Nelson, Neiladri Saha, Kevin C. Halling. Mis-Annotation of an HMGA2::NCOR2 Fusion in FFPE Sarcoma Samples: A Case Illustrating Bioinformatic Limitations in Fusion Detection [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Fusion-Positive Cancer: From Discovery to Therapy; 2026 Jan 13-15; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(1_Suppl):Abstract nr A012.