Citations

Abstract High-grade gliomas represent the most common type of primary adult malignant brain tumor historically diagnosed and graded from histologic criteria alone. Gliomas harboring isocitrate dehydrogenase (IDH) 1 or 2 mutations, which are present in more than 80% of World Health Organization (WHO) grade 2 or 3 tumors, portend a favorable prognosis as compared to IDH-wildtype tumors. However, recent molecular profiling has identified the presence of additional alterations in these lower grade tumors that transform the biology toward an aggressive high-grade phenotype clinically that are independent of histologic grading and confer a worse clinical prognosis. Of these, the loss of CDKN2A/B is the strongest implicated alteration and is sufficient to define a grade 4 tumor in IDH-mutant astrocytomas regardless of histologic appearance. However, there remain no effective therapies targeted at molecular subgroups in aggressive gliomas to date. Here we have profiled the intratumoral heterogeneity via whole exome and RNA sequencing and copy number alteration analysis within a cohort of de-identified IDH-mutant astrocytoma patient tumors collected through the Mayo Clinic and Barrow Neurological Institute (BNI) biorepositories to determine the spatial evolution of aggressive molecular features. Within this cohort we have collected 42 image-localized intratumoral biopsy specimens representing 13 IDH-mutant patient tumors. We identified 11 biopsies from 3 tumors that harbored loss of CDKN2A/B which included 1 tumor that displayed intratumoral heterogeneity of CDKN2A/B expression across subclones. We performed an unsupervised cluster analysis to profile the transcriptional signatures in IDH-mutant astrocytomas across both differential CDKN2A/B status and tumor geographic location comparing contrast enhancing versus non-enhancing regions, and we analyzed the MRI features in IDH-mutant tumors across CDKN2A/B status. We found that tumors with CDKN2A/B alteration demonstrated lower signal intensity on delayed post-contrast T2*W images, which could represent lower pre-contrast T2*, unique contrast agent kinetics, or dissimilar diffusion properties related to increased cellular density and/or greater heterogeneity of cell size. Interestingly, we uncovered spatial heterogeneity of additional molecular drivers of high-grade glioma including KRAS, MYCN, and PDGFRA. While EGFR alterations are rarely reported in IDH-mutant tumors, we identified one treatment naïve patient tumor that harbored EGFR alteration only in the contrast non-enhancing region. Based on this work we propose there is early spatial evolution of aggressive tumor subclones prior to primary tumor diagnosis, and multiregional molecular profiling may better inform tumor biology and predict therapeutic strategies in IDH-mutant astrocytomas. Citation Format: Shannon P. Fortin Ensign, Fulvio D'Angelo, Francesca P. Caruso, Christopher Sereduk, Kyle Singleton, Jennifer Eschbacher, Gina Mazza, Maciej Mrugala, Alyx Porter, Bernard Bendok, Richard Zimmerman, Kris Smith, Peter Nakaji, Kamala Swanson, Junwen Wang, Nathenael Semmineh, Christopher Quarles, Anna Lasorella, Kristin Swanson, Michele Ceccarelli, Antonio Iavarone, Leland Hu, Nhan L. Tran. Multiregional imaging and genomic analysis in high-grade IDH-mutant astrocytoma identifies intratumor subclones with aggressive features [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 770.

Abstract IgM MGUS and Waldenstrom Macroglobulinemia (WM) represent a disease spectrum with highly dissimilar therapeutic management ranging from observation to chemoimmunotherapy. The current classification relies solely on clinical features and does not explain the heterogeneity that exists within each of these conditions. To shed light on the biology that may account for the clinical differences, we used bone marrow (BM) CD19+/CD138+ sorted cells and matched BM plasma from 32 patients (pts) (7 IgM MGUS, 25 WM) and 5 healthy controls to perform the first comprehensive multiomics approach including whole exome sequencing, RNA seq, proteomics and metabolomics. Applying principal component analysis to gene expression profiling, most of WM pts clustered together, while a small subset of them grouped separately with MGUS pts, suggesting a biologic dichotomy within WM. The healthy controls formed a distinct group from most WM and MGUS. We then applied a non-negative matrix factorization consensus clustering to the gene expression data and identified three robust clusters. Cluster 1 (C1) included only WM pts, cluster 2 (C2) included both WM and MGUS pts, and cluster 3 (C3) included all controls as well as a small number of WM and MGUS pts. When mutations commonly identified in WM were analyzed, there was no difference among the three groups (excluding controls) in mutation burden of MYD88 L265P and CXCR4. Interestingly, aberrant expression of TNFAIP3 seemed a distinct feature of C1 as deletion of 6q (which encodes for TNFAIP3) and TNFAIP3 mutations were each significantly enriched in C1 (47%) compared to C2 (0%) and C3 (20%; p=0.04). Individual clusters associated with specific transcriptional signature and clinical features. While C1 displayed enrichment of cell growth, downregulation of inflammatory pathways (eg IL6 and IL8 signaling) and aggressive behavior, C2 showed increased inflammatory signaling and cell survival with indolent behavior. C3 had an intermediate feature with combined proliferative and inflammatory signatures. In accordance with the transcriptomic data, the hallmark of C1 was upregulation of proliferation-associated proteins (eg AKT, MAPK) and downregulation of inflammatory proteins (eg IL4, IL10) while the opposite was observed in C2. Once more, C3 confirmed intermediate features with combined upregulation of proliferation and inflammatory proteins. The metabolism was rewired towards fatty acid catabolism in C1, glycolysis in C2 and anabolism in C3. Accordingly, C1 showed undetectable concentration of 3-hydroxybutyric acid as opposed to C2 which had increased levels of malic and lactic acids, as end products of fatty acid oxidation and glycolysis respectively. Those metabolites had intermediate levels in C3. In conclusion, we identified three molecular clusters with distinct clinical, proteomic and metabolomic features, suggesting a potential biologic classification that may have therapeutic implications. Citation Format: Patrizia Mondello, Jonas Paludo, Joseph Novak, Kerstin Wenzl, Shahrzad Jalali, Jordan Krull, Esteban Braggio, Surendra Dasari, Michelle Manske, Jithma Abeykoon, Asher Chanan-Khan, Robert Kyle, Morie Gertz, Zhi Zhang Yang, Anne Novak, Stephen Ansell. Molecular clusters and functional drivers of IgM monoclonal gammopathies [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 3487.

e20001 Background: High dose melphalan followed by autologous stem cell transplant (HDM-ASCT) remains the standard of care for transplant-eligible patients with newly diagnosed multiple myeloma (NDMM) despite advances in treatments. Achievement of complete response (CR) is associated with improved overall survival (OS) and progression-free survival (PFS); Minimal Residual Disease (MRD) negativity (-) using next generation flow cytometry with a sensitivity of 10-5 is strongly associated with improved PFS and OS. We investigated the rates of conversion to MRD(-), especially MRD(-) CR following HDM-ASCT in patients with NDMM. Methods: We retrospectively reviewed patients with NDMM who underwent early HDM-ASCT at Mayo Clinic Rochester from May 2018 to July 2019. Response assessment was conducted after induction and within 100 days post-ASCT based on 2016 IMWG criteria, except for using Mass-Fix instead of immunofixation. MRD was assessed in bone marrow using the established Euro Flow protocol with sensitivity of 10-5. The FISH assay was used to risk-stratify patients as high-risk (HR) and standard risk (SR) cytogenetics as per the mSMART guidelines. Primary outcome measure was the conversion to MRD(-) CR after ASCT. Secondary outcomes include the overall conversion to MRD(-) irrespective of IMWG response, the impact of HR cytogenetics and pre-ASCT IMWG response on conversion to MRD(-) CR. Results: Two-hundred and ten patients were included; 126 (60%) were male and median age 62 years (range 32–77 years). There were 78 (44%) patients with HR cytogenetics. Pre-ASCT, 23 patients (11%) achieved MRD(-) CR, and 66 (31%) patients achieved MRD(-) CR post ASCT. Of 187 patients not in MRD(-) CR pre-ASCT, 45 (24%) converted to MRD(-) CR. Table provides a breakdown of the conversion rate of pre-ASCT IMWG response category to MRD(-) CR post ASCT and patients with MRD(+) CR had the highest rate (78%) of conversion. The presence of HR cytogenetics did not impact rates of MRD(-) CR achievement post ASCT irrespective of pre-ASCT IMWG response (p = 1.0). Overall, irrespective of IMWG response, 43 (20%) patients were MRD(-) pre-ASCT (19 in VGPR, 24 in CR or better) and 102 (49%) patients were MRD(-) post-ASCT (36 in VGPR, 66 in CR or better). Among 85 patients in VGPR post-ASCT, 36 were MRD(-) of which 8 (22%) progressed, while 49 were MRD(+) of which 24 (49%) progressed (p = 0.014). Conclusions: Upfront HDM-ASCT in patients with NDMM leads to deeper responses with 24% converting to MRD(-) CR and more than doubling of the total rate of MRD(-) irrespective of IMWG response. [Table: see text]

e19562 Background: Considerable healthcare resource utilization and financial burden have been associated with the treatment of Waldenstrom Macroglobulinemia (WM); however, the impact of health insurance status on patient outcomes has not been explored. We aimed to assess the insurance-based outcome relationship in WM using the National Cancer Database (NCDB). Methods: We analyzed patient-level data obtained from the NCDB, a database representing more than 70% of newly diagnosed cancer cases nationwide. All newly diagnosed WM cases (n = 8540) between 2004 to 2017 were identified. Only patients who underwent treatment were included. Insurance status was recorded by assessing the primary payer at the time of diagnosis. Due to Medicare eligibility criteria, age-based (< 65 and ≥65 years) stratified analysis was conducted. Cox proportional hazards model was utilized to analyze survival. Time-to-event analysis was conducted based on date-of-diagnosis using the Kaplan-Meier method and log-rank test. Results: Analysis was conducted on 3878 patients after meeting inclusion criteria, with a median follow-up time of 54.6 months. Among patients < 65 years (n = 1249; median age: 58 years; male: 62.4%), those with non-private insurance had inferior survival on multivariate analysis (Table) after adjusting for patient demographics, comorbidities, income, education, treatment center characteristics, and treatment start time. Significant overall survival (OS) differences were seen in those < 65 years (log-rank p < 0.001), with 5-year OS highest among patients with private insurance 91.2%, compared to Medicaid 79.8%, uninsured 77.4%, and Medicare 70.2%. In patients < 65 years, compared to private insurance, uninsured patients were more likely to be of Black race, reside in lower income areas, and be treated at non-academic centers (all p < 0.05). Both Medicaid and Medicare patients < 65 years were more likely to have a higher Charlson-Deyo comorbidity index (> 1) and live in areas of lower educational attainment and household income compared to private insurance (all p < 0.05). In patients ≥65 years (n = 2629; median age: 75 years; 60.6% males), no insurance-based OS (log-rank p = 0.096) differences were seen. Conclusions: Based on our study, significant insurance-based disparities exist in WM, where patients < 65 years old who are uninsured, or non-privately insured are at a higher risk of mortality. While the root cause of these differences is not fully elucidated, efforts should focus on ensuring that all patients have equal access to care regardless of primary payer status.[Table: see text]

e19526 Background: Zanubrutinib is an oral, highly selective, next-generation Bruton tyrosine kinase inhibitor. Efficacy of zanubrutinib was compared with bendamustine + rituximab (BR) in adult patients with treatment-naïve (TN) chronic lymphocytic leukemia (CLL) in the phase 3 SEQUOIA trial (NCT03336333). However, efficacy of zanubrutinib compared with other frontline CLL treatments remains unknown. The goal of this network meta-analysis of randomized controlled trials (RCTs) was to estimate the relative efficacy of zanubrutinib compared with standard frontline treatments for CLL. Methods: A total of 4 relevant RCTs were identified by a targeted literature review conducted throughout January 2022, CLL11 (NCT01010061), ALLIANCE (NCT01886872), MABLE (NCT01056510), and SEQUOIA. A feasibility assessment was performed to ensure that RCTs included within each population strata did not differ with respect to effect modifiers including presence of mutation, age, del11, and del17 status. A network was constructed for the composed 4 RCTs to compare the efficacy of zanubrutinib with bendamustine + rituximab, chlorambucil + obinutuzumab, chlorambucil + rituximab, and ibrutinib in patients with previously untreated CLL. Bayesian NMA models were conducted to simultaneously synthesize hazard ratio (HR) and 95% credible intervals (CI) for investigator-assessed progression-free survival (PFS). A constant hazard ratio was assumed in the NMA analysis. Statistical analyses were performed using codes suggested by the National Institute for Health and Care Excellence. Results: The efficacy results of the NMA indicated a statistically significant improvement in PFS for zanubrutinib over bendamustine + rituximab (HR=0.42; [95% CI=0.27, 0.65]), chlorambucil + obinutuzumab (0.45 [0.23, 0.86]), and chlorambucil + rituximab (0.22 [0.12, 0.41]). Zanubrutinib achieved comparable PFS to ibrutinib (1.07 [0.59, 1.94]). Conclusions: This is the first NMA to compare the efficacy of zanubrutinib with all commonly utilized first-line treatment for TN CLL. Results from this indirect treatment comparison suggested that the PFS for zanubrutinib may be statistically significantly better than immunochemotherapy. Findings from this study require validation with further large scale RCTs with longer follow up time.[Table: see text]

e19514 Background: Zanubrutinib, a next-generation Bruton’s tyrosine kinase inhibitor (BTKi), demonstrated superior overall response rate and a trend toward improved progression-free survival (PFS) as compared to ibrutinib in patients with relapsed or refractory (R/R) chronic lymphocytic leukemia (CLL) in the phase 3 ALPINE trial (NCT03734016) based on interim analysis. However, its comparative efficacy with other treatments is not known. The goal of this study was to estimate the relative efficacy of zanubrutinib compared with standard treatments for R/R CLL through a network meta-analysis (NMA). Methods: The efficacy of zanubrutinib from ALPINE (study of zanubrutinib and ibrutinib in patients with R/R CLL was compared to ibrutinib, acalabrutinib, bendamustine and rituximab (BR), and venetoclax + rituximab (V+R) using data from 4 RCTs. Relevant RCTs were identified using a systematic literature review. A network was constructed that composed RCTs (ALPINE, ELEVATE-RR [NCT02477696], ASCEND [NCT02970318], and MURANO [NCT02005471]). Bayesian network meta-analysis (NMA) models were used to simultaneously synthesize hazard ratios (HRs) and 95% credible intervals (CrIs) for investigator-assessed PFS and overall survival (OS) to estimate the relative efficacy of zanubrutinib versus comparators of interest. An assumption of constant hazard ratio was applied in the NMA analysis. Analyses were performed using well-established codes published by the National Institute for Health and Care Excellence (NICE) Decision Support Unit and were implemented with OpenBUGS (version 3.2.3). Results: The NMA suggested a significant improvement in PFS for zanubrutinib over acalabrutinib (HR=0.52, 95% CrI [0.30, 0.90]), ibrutinib (0.47, [0.29, 0.76]), and BR (0.13, [0.06, 0.26]). Zanubrutinib had a numerically better PFS than V+R (0.69, [0.32, 1.46]) while not reaching statistical significance. For OS, NMA results showed a trend favoring zanubrutinib over acalabrutinib (0.75, [0.35, 1.59]), ibrutinib (0.62, [0.31, 1.22]), and BR (0.52, [0.21, 1.24]). The difference was not statistically significant with wide CrIs, suggesting a high uncertainty as inherent limitation of the analysis. Conclusions: This NMA reports the first summary of comparative PFS of available treatments for R/R CLL. Indirect treatment comparisons suggest PFS on zanubrutinib may be superior to other BTKis and immunochemotherapies in R/R CLL patients.[Table: see text]

7566 Background: Parenteral limited-duration BR chemoimmunotherapy and continuous orally administered Ibr, a Bruton tyrosine kinase inhibitor, dominate the treatment landscape of WM, a rare B cell lymphoma. No trials have assessed the comparative effectiveness of these 2 vastly different approaches. We conducted a multiinstitutional, international, collaborative study to compare BR and single-agent Ibr in patients (pts) with treatment naïve (TN) WM. Methods: Data from 347 pts with active TN WM, seen between 2011 and 2021 in the US and Europe, were analyzed. The pts on rituximab maintenance were excluded. The modified IWWM-6 criteria (based on IgM alone) were used for response assessment. All time-to-event analyses were performed from the frontline therapy initiation, using the Kaplan-Meier method. Results: The median age of the pts treated with BR (n=208) and Ibr (n=139) was 66 (range 40-86) years (y) and 69 (39-97) y, respectively, (p=0.005). With a median follow up of 4.2 y (95% CI 3.8-4.5), the 4-y progression free survival (PFS) was 73% in each group, p=0.6, and 4-y overall survival (OS) was 94% (95% CI 91-98) in the BR group versus ( v) 82% (95% CI 75-90) in the Ibr group, p=0.01. In a bivariate analysis adjusting for age and the treatment type, only age emerged as a predictor for OS (HR 7.2, p=0.0001). Therefore, a 1:1 age-matched analysis of 246 pts who received Ibr (n=123) or BR (n=123) was performed. Pts with a known MYD88WT status who had received Ibr and their age matched controls on BR were excluded. The international prognostic scoring system (IPSS) WM was comparable between the 2 groups (Table). A higher proportion of pts on BR attained very good partial or deeper response (≥VGPR) as the best response in comparison to the pts on Ibr (Table). The 4-y PFS for the BR and Ibr groups was similar [72% (95% CI 63-82) v 78% (95% CI 70-87), p=0.14] and 4-y OS was 95% (95% CI 91-99) with BR v 86% (95% CI 80-93) with Ibr (p=0.3). Premature discontinuation, during active treatment, due to adverse effects (AEs) or lack of response was noted in 13% and 33% of pts on BR and Ibr, respectively. A detailed assessment of the AEs will be presented at the meeting. Conclusions: Both BR and Ibr lead to comparable outcomes in pts with TN WM, although deeper responses are attained with BR. These findings require confirmation in prospective studies. For pts who harbor MYD 88L265P mutation, selection between the 2 approaches should be dictated by their potential toxicities, pt comorbidities, pt/clinician preference (parenteral fixed-duration v continuous oral) and access to therapies. [Table: see text]

Abstract Machine learning (ML) and artificial intelligence (AI) may be described as advanced statistical techniques using algorithms to “learn” to evaluate and predict relationships between input and results without explicit human programming, often with high accuracy. The potentials and pitfalls of ML continue to be explored as predictive modeling grows in popularity. While use of and optimism for AI continues to increase in orthopaedic surgery, there remains little high‐quality evidence of its ability to improve patient outcome. It is up to us as clinicians to provide context for ML models and guide the use of these technologies to optimize the outcome for our patients. Barriers to widespread adoption of ML include poor quality data, limits to compliant data sharing, few clinicians who are expert in ML statistical techniques, and computing costs including technology, infrastructure, personnel, energy, and updates.

A concerted commitment across research stakeholders is necessary to increase equity, diversity, and inclusion (EDI) and address barriers to cancer clinical trial recruitment and participation. Racial and ethnic diversity among trial participants is key to understanding intrinsic and extrinsic factors that may affect patient response to cancer treatments. This ASCO and Association of Community Cancer Centers (ACCC) Research Statement presents specific recommendations and strategies for the research community to improve EDI in cancer clinical trials. There are six overarching recommendations: (1) clinical trials are an integral component of high-quality cancer care, and every person with cancer should have the opportunity to participate; (2) trial sponsors and investigators should design and implement trials with a focus on reducing barriers and enhancing EDI, and work with sites to conduct trials in ways that increase participation of under-represented populations; (3) trial sponsors, researchers, and sites should form long-standing partnerships with patients, patient advocacy groups, and community leaders and groups; (4) anyone designing or conducting trials should complete recurring education, training, and evaluation to demonstrate and maintain cross-cultural competencies, mitigation of bias, effective communication, and a commitment to achieving EDI; (5) research stakeholders should invest in programs and policies that increase EDI in trials and in the research workforce; and (6) research stakeholders should collect and publish aggregate data on racial and ethnic diversity of trial participants when reporting results of trials, programs, and interventions to increase EDI. The recommendations are intended to serve as a guide for the research community to improve participation rates among people from racial and ethnic minority populations historically under-represented in cancer clinical trials. ASCO and ACCC will work at all levels to advance the recommendations in this publication.