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Ramkissoon, Shakti

Mayo Clinic

LabCorp (United States)

Citations 8

Abstract A043: Tumor-informed whole genome sequencing of ctDNA from lymph and plasma detects molecular residual disease in HPV-negative head and neck cancer patients
Gu, Zhuosheng, Lazare, Seka , Francis, Marra S. , Harmon, Adam, Long, Megan , Greer, Amy , Ramkissoon, Shakti, Zevallos, José P. , Chaudhuri, Aadel A. , Jensen, Taylor J. , Winckler, Wendy , Gu, Zhuosheng , Earland, Noah , Verner, Ellen L. , Georgiadis, Andrew, Sausen, Mark

Clinical Cancer Research | November 13, 2024 | Volume: 30 | Issue: 21_Supplement | Pages: A043-A043

10.1158/1557-3265.liqbiop24-a043 Get It

Abstract Introduction: Recurrence after tumor resection is a major cause of failure in HPV-negative head and neck squamous cell carcinoma (HNSCC), with up to 50% of patients recurring within 2 years. There is unmet need for an accurate diagnostic test that can predict risk of recurrence prior to adjuvant therapy selection. We previously demonstrated that ctDNA in lymphatic exudate collected via surgical drains (“lymph”) accurately identifies molecular residual disease (MRD) and outperforms plasma in HNSCC patients using a targeted sequencing (TS) approach. While TS assays are robust and sensitive, they have key limitations, namely limited ctDNA features, higher cost, longer turnaround times, and lower throughput. Here we evaluate whole genome sequencing (WGS) for detection of MRD in both lymph and plasma sampled 24 hours after surgery. Methods: Lymph, plasma, and whole blood were collected 24 hours postoperatively from 30 HPV-negative HNSCC patients (stages I – IV) along with resected tumor. To detect ctDNA, we utilized WGS analyses of patient matched tumor, germline (blood), and cfDNA from lymph or plasma samples at approximately 150x, 30x, and 30x depth, respectively. Tumor- specific single nucleotide variants were identified from tumor and germline datasets, from which a candidate variant set was used to determine the presence of ctDNA within lymph or plasma DNA through a random forest machine learning model. ctDNA status was determined based on the level of signal compared to a reference population of noncancerous donor plasma samples (n=80). 5 tumors and 1 lymph sample failed QC; in total, 24 patients remained, yielding 10 patients with disease recurrence and 14 with no evidence of disease with >1 year of follow-up. The Kaplan-Meier (KM) estimator with log-rank test and Cox proportional-hazards model were used for survival analyses. Results: KM survival analyses indicated that WGS of lymph ctDNA accurately predicts recurrence (sensitivity (SN) = 50%, specificity (SP) = 93%; p = 0.003, Hazard ratio (HR) = 6.0), consistent with previously published results using a TS MRD approach in this cohort (SN = 80%, SP = 64%, p = 0.02, HR = 5.3). WGS of lymph ctDNA outperformed plasma at this timepoint (SN = 30%, SP = 93%, p = 0.03, HR = 4.2). WGS of lymph ctDNA also showed enhanced performance in locoregional relapse (n=21, SN = 57%, SP = 93%; p = 0.006, HR = 6.7). Finally, the ctDNA fraction of proximal lymph was higher than paired plasma in all locoregional recurrences (n=7), while peripheral plasma had a higher ctDNA fraction in 2 out of 3 distant recurrences. Conclusions: Tumor-informed WGS analysis of lymph ctDNA represents a robust MRD approach in HPV-negative HNSCC. Lymph outperforms time-matched plasma for prediction of recurrence, particularly in patients with locoregional relapse. Accurate MRD identification in the immediate post-surgical timeframe suggests that lymph analysis has potential to augment pathology and longitudinal plasma testing to provide more personalized adjuvant treatment decision-making in patients with HPV-negative HNSCC. Citation Format: Zhuosheng Gu, Seka Lazare, Noah Earland, Marra S Francis, Adam Harmon, Megan Long, Amy Greer, Ellen Verner, Andrew Georgiadis, Mark Sausen, Shakti Ramkissoon, Jose P Zevallos, Aadel A Chaudhuri, Taylor J Jensen, Wendy Winckler. Tumor-informed whole genome sequencing of ctDNA from lymph and plasma detects molecular residual disease in HPV-negative head and neck cancer patients [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A043.
Current laboratory testing practices for mismatch repair deficiency and microsatellite instability testing: A survey-based review of current laboratory practices
Austin, Amy, Broaddus, Russell R. , Souers, Rhona J., Kane, Megan E , Kolhe, Ravindra , Miller, Dylan V. , Moncur, Joel T., Ramkissoon, Shakti, Trembath, Dimitri G. , Kolhe, Ravindra , Ramkissoon, Shakti, Tafe, Laura J. , Graham, Rondell P.

American Journal of Clinical Pathology | July 30, 2024 | Volume: 163 | Issue: 1 | Pages: 60-68

10.1093/ajcp/aqae094 Get It

Abstract Objectives To describe mismatch repair (MMR) and microsatellite instability (MSI) testing practices in laboratories using the College of American Pathologists (CAP) MSI/MMR proficiency testing programs prior to the 2022 publication of the MSI/MMR practice guidelines copublished by CAP and the Association of Molecular Pathology (AMP). Methods Data from supplemental questionnaires provided with the 2020-B MSI/MMR programs to 542 laboratories across different practice settings were reviewed. Questionnaires contained 21 questions regarding the type of testing performed, specimen/tumor types used for testing, and clinical practices for checkpoint blockade therapy. Results Domestic laboratories test for MSI/MMR more often than international laboratories (P = .04) and academic hospitals/medical centers test more frequently than nonhospital sites/clinics (P = .03). The most commonly used testing modality is immunohistochemistry, followed by polymerase chain reaction, then next-generation sequencing. Most laboratories (72.6%; 347/478) reported awareness of the use of immune checkpoint inhibitor therapy for patients with high MSI or MMR-deficient results. Conclusions The results demonstrate the state of MMR and MSI testing in laboratories prior to the publication of the CAP/AMP best practice guidelines, highlighting differences between various laboratory types. The findings indicate the importance of consensus guidelines and provide a baseline for comparison after their implementation.
INNV-32. RELIABILITY OF SERIAL NEUROPATHOLOGICAL ASSESSMENT TO DIFFERENTIATE TUMOR PROGRESSION FROM PSEUDO-PROGRESSION IN GLIOMA
Khoury, Lara, Harrison, W.T.A. , Ramkissoon, Shakti, Stogner‐Underwood, Kimberly, Mott, Ryan T., Miller, James, Lesser, Glenn J. , Cramer, Christina K. , Laxton, Adrian W. , White, Jaclyn, Harrison, William, Chan, Michael David , Tatter, Stephen B. , Tavolara, Thomas Erol , Hsu, Fang‐Chi , Strowd, Roy E.

Neuro-Oncology | November 11, 2023 | Volume: 25 | Issue: Supplement_5 | Pages: v163-v164

10.1093/neuonc/noad179.0621 Get It

Abstract Histopathology is the gold standard for distinguishing tumor recurrence from treatment-induced necrosis but differentiating pseudoprogression from true recurrence is challenging in tumors with ambiguous morphological features. Prior research reported a 36% inter-rater agreement during suspected recurrence (Holdhoff et al., 2019). While serial radiographic and laboratory assessments are common, serial histopathological assessments are not. This study evaluated agreement and factors influencing assessment of active and inactive tumors through single and multiple time-point histopathological assessments. Patients who underwent initial and subsequent reoperation were identified, and their available histology slides were examined retrospectively. Four independent neuropathologists conducted two types of reviews: single time-point reviews using most recent biopsy/surgery slides, and multiple time-point reviews comparing images from initial and repeat biopsies taken 1-3 months apart. Neuropathologists completed a questionnaire assessing various tumor characteristics. Assignments were categorized as "active tumor," "treatment effect," or "unable to classify." 324 assessments were conducted (108 single time-point, 216 multiple time-point). Intraclass correlation coefficients for single vs. multiple time-point assessments were 0.72-0.93 for active tumors and 0.57-0.86 for inactive tumors. Pathologists' assessment of % inactive tumor was influenced by mitotic activity (p= 0.0028), cellularity (p< 0.0001), hyalinized vessels (p= 0.0019), and necrosis (p= 0.0046). Evaluation of % active tumor was influenced by hyalinized vessels (p= 0.0006), mitotic activity (p< 0.0001), cellularity (p< 0.0001), and microvascular proliferation (p= 0.0093), with the latter three factors specifically affecting final sign-out pathology. Serial histopathological assessment didn’t affect determination of % active or inactive tumor. No association between % inactive tumor and fibrinoid necrosis for single time-point (p= 0.34) but a strong negative association was seen for serial assessment (p= 0.0006). Inter-rater agreement was higher for identifying active tumors than inactive tumors in both case reviews. Changes in necrosis between tissue samples in single vs. multiple timepoint assessments influenced pathologists' assessment of % inactive tumor.
Inaugural Results of the Individualized Screening Trial of Innovative Glioblastoma Therapy: A Phase II Platform Trial for Newly Diagnosed Glioblastoma Using Bayesian Adaptive Randomization
Rahman, Rifaquat , Trippa, Lorenzo , Lee, Eudocia Q. , Arrillaga‐Romany, Isabel , Fell, Geoffrey, McCluskey, Christine , Wiley, Jennifer, Gaffey, Sarah, Welch, Mary , Ahluwalia, Manmeet S. , Colman, Howard , Hepel, Jaroslaw T., Elinzano, Heinrich, Schiff, David , Chukwueke, Ugonma , Beroukhim, Rameen , Nayak, Lakshmi , Batchelor, Tracy T. , Rinne, Mikael L. , Lu‐Emerson, Christine , Mellinghoff, Ingo K. , Haas‐Kogan, Daphne A. , Tanguturi, Shyam , Cagney, Daniel , Aizer, Ayal A. , Doherty, Lisa, Lavallee, Maria, Fisher-Longden, Brittany, Dowling, Shanna, Geduldig, Jack , Watkinson, Fiona , Pisano, William , Ramkissoon, Shakti, Reardon, David A. , Wen, Patrick Y. , Touat, Mehdi , Welch, Mary R , Ahluwalia, Manmeet S , Colman, Howard , Nabors, Louis Burt , Chukwueke, Ugonma N , Nayak, Lakshmi , Batchelor, Tracy T , Kaley, Thomas , Lu-Emerson, Christine , Mellinghoff, Ingo K , Bi, Wenya Linda , Peruzzi, Pier Paolo , Haas-Kogan, Daphne , Aizer, Ayal , Geduldig, Jack , Pisano, William , Chiocca, E Antonio , Reardon, David A , Alexander, Brian M , Ligon, Keith L , Wen, Patrick Yung , Tanguturi, Shyam K , Arrillaga‐Romany, Isabel , Fell, Geoffrey G. , Drappatz, Jan , Galanis, Evanthia , Nabors, Burt , McFaline-Figueroa, J Ricardo , Arnaout, Omar M. , Malinowski, Seth W. , Santagata, Sandro , Meredith, David M. , Alexander, Brian M.

Journal of Clinical Oncology | September 18, 2023 | Volume: 41 | Issue: 36 | Pages: 5524-5535

10.1200/jco.23.00493 Get It

PURPOSE The Individualized Screening Trial of Innovative Glioblastoma Therapy (INSIGhT) is a phase II platform trial that uses response adaptive randomization and genomic profiling to efficiently identify novel therapies for phase III testing. Three initial experimental arms (abemaciclib [a cyclin-dependent kinase [CDK]4/6 inhibitor], neratinib [an epidermal growth factor receptor [EGFR]/human epidermal growth factor receptor 2 inhibitor], and CC-115 [a deoxyribonucleic acid–dependent protein kinase/mammalian target of rapamycin inhibitor]) were simultaneously evaluated against a common control arm. We report the results for each arm and examine the feasibility and conduct of the adaptive platform design. PATIENTS AND METHODS Patients with newly diagnosed O 6 -methylguanine–DNA methyltransferase-unmethylated glioblastoma were eligible if they had tumor genotyping to identify prespecified biomarker subpopulations of dominant glioblastoma signaling pathways (EGFR, phosphatidylinositol 3-kinase, and CDK). Initial random assignment was 1:1:1:1 between control (radiation therapy and temozolomide) and the experimental arms. Subsequent Bayesian adaptive randomization was incorporated on the basis of biomarker-specific progression-free survival (PFS) data. The primary end point was overall survival (OS), and one-sided P values are reported. The trial is registered with ClinicalTrials.gov (identifier: NCT02977780 ). RESULTS Two hundred thirty-seven patients were treated (71 control; 73 abemaciclib; 81 neratinib; 12 CC-115) in years 2017-2021. Abemaciclib and neratinib were well tolerated, but CC-115 was associated with ≥ grade 3 treatment-related toxicity in 58% of patients. PFS was significantly longer with abemaciclib (hazard ratio [HR], 0.72; 95% CI, 0.49 to 1.06; one-sided P = .046) and neratinib (HR, 0.72; 95% CI, 0.50 to 1.02; one-sided P = .033) relative to the control arm but there was no PFS benefit with CC-115 (one-sided P = .523). None of the experimental therapies demonstrated a significant OS benefit ( P > .05). CONCLUSION The INSIGhT design enabled efficient simultaneous testing of three experimental agents using a shared control arm and adaptive randomization. Two investigational arms had superior PFS compared with the control arm, but none demonstrated an OS benefit. The INSIGhT design may promote improved and more efficient therapeutic discovery in glioblastoma. New arms have been added to the trial.
The Practical Application of Emerging Technologies Influencing the Diagnosis and Care of Patients With Primary Brain Tumors
Hu, Leland , Ramkissoon, Shakti, Lesser, Glenn J. , Brat, Daniel J. , Bloch, Orin G.

American Society of Clinical Oncology Educational Book | April 23, 2020 | Volume: No volume available | Issue: 40 | Pages: e35-e46

10.1200/edbk_280955 Get It

Over the past decade, a variety of new and innovative technologies has led to important advances in the diagnosis and management of patients with primary malignant brain tumors. New approaches to surgical navigation and tumor localization, advanced imaging to define tumor biology and treatment response, and the widespread adoption of a molecularly defined integrated diagnostic paradigm that complements traditional histopathologic diagnosis continue to impact the day-to-day care of these patients. In the neuro-oncology clinic, discussions with patients about the role of tumor treating fields (TTFields) and the incorporation of next-generation sequencing (NGS) data into therapeutic decision-making are now a standard practice. This article summarizes newer applications of technology influencing the pathologic, neuroimaging, neurosurgical, and medical management of patients with malignant primary brain tumors.
ALLELE: A consortium for prospective genomics and functional diagnostics to guide patient care and trial analysis in newly-diagnosed glioblastoma.
Dubuc, Adrian M. , Gaffey, Sarah, Gedulig, Jack E., Ramkissoon, Shakti, Groot, John Frederick De, Welch, Mary , Schiff, David , Ahluwalia, Manmeet S. , Colman, Howard , Wen, Patrick Y. , Ahluwalia, Manmeet S , Touat, Mehdi , Meredith, David M. , Galanis, Evanthia , Nabors, Burt , Arrillaga, Isabel, Chiocca, E Antonio , Santagata, Sandro , Colman, Howard , Drappatz, Jan , Alexander, Brian M. , Wen, Patrick Yung , Ligon, Keith L

Journal of Clinical Oncology | September 5, 2018 | Volume: 36 | Issue: 15_suppl | Pages: 2003-2003

10.1200/jco.2018.36.15_suppl.2003 Get It

Hypoxia-Inducible Factor 2α: A Novel Target in Gliomas
Renfrow, Jaclyn J. , Soike, M. , Debinski, Waldemar, Ramkissoon, Shakti, Mott, Ryan T., Frenkel, Mark B. , Lesser, Glenn J. , Strowd, Roy E. , Sarkaria, Jann N. , Strowd, Roy E

Future Medicinal Chemistry | August 9, 2018 | Volume: 10 | Issue: 18 | Pages: 2227-2236

10.4155/fmc-2018-0163 Get It