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Background: Primary central nervous system lymphoma (PCNSL) is a rare form of non-Hodgkin lymphoma with two-year overall survival (OS) rates of 66-70% reported in prospective clinical trials. Induction therapy with high-dose methotrexate (HD-MTX) followed by consolidation has become the mainstay of treatment, however, there are few contemporary and robust prognostication indices widely available for clinical use. Some of the most used indices were developed prior to the routine use of rituximab and include the International Extranodal Lymphoma Study Group (IELSG; 1980-1999), Memorial Sloan-Kettering Cancer Center (MSKCC; 1983-2003), Nottingham/Barcelona (NB; 1986-2001), and Taipei Score (TS; 2003-2015). Herein, we describe a contemporary comparison of clinical prognostication indices using a single-center cohort of PCNSL patients treated at the Mayo Clinic. Methods: Patients with a diagnosis of PCNSL who received HD-MTX as part of induction therapy at Mayo Clinic between October 2010 and June 2022 were identified and retrospectively reviewed. Patients with prior or concurrent systemic lymphoma were excluded. Primary endpoints were progression-free survival (PFS) defined as time from diagnosis to relapse, progression, or death due to any cause; and OS defined as time from diagnosis to death due to any cause. PFS and OS were evaluated using Kaplan-Meier curves and compared by risk scores using a log-rank test. The association between baseline characteristics and survival outcome were assessed in univariate Cox regression models. Any characteristics showing significant (p-value <0.05) association with outcome were combined using a multivariate Cox regression model. All characteristics that maintained significant association with outcome were combined into a new prognostic model. We compared the performance of each prognostic index model using Harrell's C (HC). Results: A total of 148 patients were identified (50.7% female) with median age at diagnosis of 66 years (range 29-85), with 48 patients (32.4%) age >70 (Table 1). Most had multifocal disease (60.1%) and deep brain involvement (67.6%) at diagnosis with elevated CSF protein (58.1%) but no documented CSF involvement (93.9%). In total, 117 patients (79.1%) received methotrexate, rituximab, and temozolomide (MRT) induction therapy, and the remaining 31 patients (20.9%) received methotrexate and rituximab (MR) induction therapy with various consolidation strategies. The median follow-up for all patients was 4.5 years and the two-year OS was 79% (95% CI: 73-86%). This cohort was stratified using previously published prognostication indices (Table 1). Upon analysis, PFS was not accurately predicted using the IELSG (score 4-5: HR 0.7 (CI 0.3-2.0); HC 0.6), MSKCC (3: 1.3 (0.4-4.0); 0.5), NB (3: 0.9 (0.4-2.5); 0.6), or TS (3: 0.9 (0.1-7.2); 0.5) prognostication indices. Furthermore, OS was not accurately predicted using the IELSG (4-5: 1.5 (0.6-4.0); 0.6), MSKCC (3: 1.2 (0.5-3.2); 0.6), NB (3: 1.2 (0.5-3.2); 0.6), or TS (3: 1.3 (0.2-9.8); 0.6) prognostication indices. Upon multivariate analysis, no variables listed in Table 1 were associated with PFS within this cohort. The two variables predicting a worsened OS were an ECOG performance status of 2 or more (1.9 (1.01-3.6)) and an MR induction regimen instead of MRT (2.1 (1.05-4.3)) (Figure 1). The two-year OS with no risk factors was 86.1% (95% CI: 78.8-94.1%), one risk factor was 75.7% (95% CI: 63.6-90.1%), and two risk factors was 61% (95% CI: 43-86%) (Figure 1). Conclusions: This study reports overall improved outcomes in patients with PCNSL compared to prior prospective and retrospective cohorts, likely in part due to treatment advances and supportive care strategies. This single-center, retrospective cohort of rituximab-exposed patients with PCNSL were not well prognosticated using previously published indices, indicating that further study and more sophisticated approaches to prognostication are warranted. Although multivariate analysis did not demonstrate any variables associated with PFS, it did demonstrate an inferior OS with a performance score of 2 or more and in patients treated with MR rather than MRT.

Background: Bendamustine and rituximab (BR) is a standard-of-care first-line (1L) therapy for older or unfit patients with mantle cell lymphoma (MCL). The SHINE trial compared BR with rituximab maintenance plus ibrutinib vs placebo in patients ≥65 years old and showed that the ibrutinib arm had significantly improved progression-free survival (PFS; median 80.6 vs 52.9 months) but similar overall survival (OS; 57% vs 55% at 7 years) compared to the placebo arm. Whether sequential treatment with BR in 1L and a Bruton's tyrosine kinase inhibitor (BTKi) in second-line (2L) can result in a similar cumulative PFS compared to 1L BR plus BTKi combination therapy is unknown. To provide insight to this question, we modeled observational data to evaluate MCL outcomes after 1L BR and 2L BTKi therapy in the BTKi era. Methods: Patients with MCL who received 1L BR with or without rituximab maintenance in 2014-2020 at one of the 27 participating centers were included. Exclusion criteria included participation in the SHINE or ECHO trials, any additional 1L therapy other than BR (with or without rituximab maintenance), and stem cell transplant consolidation after 1L BR. Baseline characteristics, treatment, and follow-up data were abstracted by chart review. Event-free survival (EFS) was defined as time from index line treatment start to the first event (progression, relapse, retreatment, or death). OS was defined as time from index line treatment start to death. Using an intention-to-treat (ITT) framework, EFS2 was defined as time from 1L BR start to progression, relapse, or retreatment following 2L BTKi treatment or death. Patients who received a non-BTKi treatment at 2L were censored for EFS2 at 2L treatment start; living patients without an event following 1L BR or 2L BTKi were censored for EFS2 at last follow-up. Results: A total of 618 patients with MCL who received 1L BR in 2014-2020 were included. The median age was 71 (IQR 65-76) years, and 447 (72%) were male. 59 (11%) patients had an ECOG PS ≥2, 566 (93%) had stage III-IV disease, and simplified MIPI was low in 105 (21%), intermediate in 200 (39%), and high in 202 (40%) patients. The median follow-up following 1L BR start was 57.4 (95% CI 53.8-63.2) months. Response data were available in 580 patients, and the best ORR was 92% (79% complete response [CR] and 13% partial response [PR]). 258 (42%) patients received rituximab maintenance. As of last follow-up, 255 patients were alive and in remission after 1L BR, 92 patients died without 2L therapy, and 271 patients received a 2L therapy. The median EFS was 34.1 (95% CI 31.0-40.0) months. The median OS was 97.8 (95% CI 81.2-NA) months, the 5-year OS rate was 58.6% (95% CI 54.4-63.2), and the 7-year OS rate was 56.7% (95% CI 52.4-61.5) (Fig 1). Among the 271 patients who started a 2L treatment, 203 (75%) received a BTKi at 2L - 101 (50%) ibrutinib, 76 (37%) acalabrutinib, and 26 (13%) zanubrutinib. The median follow-up following 2L BTKi start was 38.5 (95% CI 31.3-45.1) months. Response data were available in 171 patients, and the best ORR was 64% (36% CR, 28% PR). The median EFS was 10.7 (95% CI 7.7-14.0) months, and the median OS was 24.8 (95% CI 17.3-33.1) months with 2L BTKi therapy (Fig 2). By ITT analysis, the median EFS2 following 1L BR and 2L BTKi was 72.1 (95% CI 56.7-97.8) months (Fig 1). A subset analysis of patients aged ≥65 years (n=471; 198 [42%] received rituximab maintenance) showed similar results. The median EFS with 1L BR was 32.7 (95% CI 29.1-36.3) months. The median OS was 81.5 (95% CI 65.0-NA) months, and the 7-year OS rate was 53.3% (95% CI 48.3-58.7). 208 patients received a 2L therapy, 163 (79%) with a BTKi. The median EFS was 11.5 (95% CI 7.6-15.8) months, and the median OS was 21.0 (95% CI 14.0-29.6) months with 2L BTKi therapy. By ITT analysis, the median EFS2 following 1L BR and 2L BTKi was 58.0 (95% CI 50.2-77.0) months. Conclusion: In this multicenter retrospective study, initiation of 1L BR (with or without rituximab maintenance) resulted in a 7-year OS of 57%. Median EFS2 for sequential 1L BR and 2L BTKi was 72.1 months. In context, the SHINE study reported a median PFS of 80.6 months in the BR (with rituximab maintenance) plus ibrutinib arm and a 7-year OS of 57% in the ibrutinib arm and 55% in the placebo arm, where 39% of patients received a BTKi in 2L. Within the constraints of observational data, our results provide support for sequential use of BR in 1L and BTKi in 2L for patients with MCL.

Background: Primary central nervous system lymphoma (PCNSL) is a rare form of non-Hodgkin lymphoma with historically poor outcomes. Induction therapy with high-dose methotrexate (HD-MTX)-based regimens followed by consolidation with autologous stem cell transplant (auto-SCT) has become the mainstay of treatment with overall response rates (ORR) of 69-87% and two-year overall survival (OS) of 66-70% reported in prospective clinical trials. Limited data are available regarding a maintenance approach with single-agent HD-MTX, particularly in patients who are not auto-SCT candidates. Herein, we describe a comparison of outcomes in patients with PCNSL who underwent HD-MTX-based induction followed by either HD-MTX maintenance or auto-SCT consolidation at Mayo Clinic, Rochester. Methods: Patients with a diagnosis of PCNSL who received HD-MTX as part of induction therapy at Mayo Clinic between October 2010 and June 2022 were identified. Patients with prior or concurrent diagnosis of systemic lymphoma were excluded. Primary endpoints were progression-free survival (PFS) defined as time from post-induction treatment initiation to relapse, progression, or death due to any cause; and OS defined as time from post-induction treatment initiation to death due to any cause. We compared baseline characteristics by post-induction therapy using descriptive statistics. The primary endpoints PFS and OS were evaluated using Kaplan-Meier curves and compared by risk scores using a log-rank test. Results: A total of 148 patients were identified (51% female, 95% white) with median age at diagnosis of 66 years (range 29-85), with 48 patients (32%) age > 70. Most patients had multifocal disease (n=89, 60%) and deep brain involvement (n=100, 70%) at diagnosis. Few had vitreoretinal (n=15, 10%) or CSF involvement (n=9, 6%) at diagnosis. Using the Memorial Sloan Kettering (MSKCC) prognostic score for PCNSL, 35 patients (26%) scored class 3 (poor prognosis), 85 (62%) scored class 2, and 17 (12%) scored class 1. In total, 117 patients (79%) received methotrexate, rituximab, and temozolomide (MRT) induction therapy, and the remaining 31 patients (21%) received methotrexate and rituximab (MR) induction therapy (Table 1). A total of 70 patients (47%) underwent consolidation with auto-SCT and 37 patients (25%) received maintenance methotrexate. The patients who received maintenance methotrexate had higher median age of 72 versus 62 years, higher proportion of patients older than 70 (54% versus 16%, p<0.001), higher proportion of MSKCC prognostic score class 3 patients (33% versus 17%, p=0.026), and trend towards higher proportion of patients ECOG 2 or higher (41% versus 29%, p=0.109). A higher proportion of patients who underwent auto-SCT received MRT (vs MR) induction (n=64, 91%) compared to those who received maintenance methotrexate (n=24, 65%, p=0.004) (Table 1). The median follow-up for all patients was 4.5 years. At 1-, 3-, and 5-years post-induction treatment initiation, the PFS in the auto-SCT cohort was 85.8% (95% CI 77.7-94.9), 81.0% (95% CI 72.0-91.0), and 74.6% (95% CI 63.3-87.9), respectively; and the PFS in the HD-MTX maintenance cohort was 88.6% (95% CI 78.7-99.8), 72.6% (95% CI 58.8-89.8), and 72.6% (95% CI 58.8-89.8), respectively. At the same time points, the OS in the auto-SCT cohort was 94.0% (95% CI 88.4-99.9), 81.3% (95% CI 71.8-92.0), and 76.0% (95% CI 65.0-89.0), respectively; and the OS in the HD-MTX maintenance cohort was 94.3% (95% CI 86.9-100.0), 87.5% (76.8-99.8%), and 82.4% (69.0-98.4), respectively. Overall, there was no significant difference in PFS (p=0.64) or OS (p=0.95) based on post-induction treatment (Figure 1). Conclusions: Our study demonstrates comparable outcomes in PCNSL between a post-induction treatment approach with maintenance HD-MTX and consolidation auto-SCT, even though baseline characteristics indicate that patients who went on to receive auto-SCT were younger and had overall better performance status. This suggests that maintenance HD-MTX is a reasonable, time-limited strategy for patients with PCNSL responding to initial induction therapy, particularly in patients who are not candidates for auto-SCT.

Dent disease I is a rare X‐linked recessive chronic kidney disorder caused by mutations of the CLCN5 gene, which encodes the electrogenic Cl−/H+ exchanger (transporter) ClC‐5. CLC‐5 protein has been localized to the apical membrane and endosomal vesicles of the kidney in the proximal tubule as well as other tubule segments. Clinical manifestations of patients with Dent disease include low molecular weight proteinuria (LMWP), hypercalciuria, nephrocalcinosis, nephrolithiasis, bone disease (rickets), and often progressive renal failure. While it is known that the CLC‐5 protein functions in the formation and maturation of endosomes, the etiology of the nephrocalcinosis and kidney stones often observed in Dent disease patients is not known. Therefore, in this project we investigated the effects of several CLC‐5 mutations identified in Dent disease patients, including S244L, Q629X, and R345W, on cellular processing of calcium oxalate (CaOx) crystals. Monolayers of renal proximal tubular cells (LLC‐PK1) and renal cortical tubular epithelial cells (RCTE) transfected with GFP tagged WT and mutated CLC‐5 were subjected to a CaOx crystal adhesion/agglomeration assay for thirty minutes then imaged by DIC and epifluorescence microscopy. The total area of CaOx crystal formation around each transfected cell within a 35, 55, and 75 μm diameter concentric circle was analyzed using ImageJ, and compared to adjacent un‐transfected cells which served as an internal control. A significant increase in CaOx aggregation was observed around cells expressing CLC‐5 mutants compared to wild type cells, especially for S244L. In LLC‐PK1 cells crystal adhesion/agglomeration decreased in this order: S224L > R345W > Q629X = WT; while in RCTE it decreased in this order: S224L = Q629X > R345W = WT. These findings support the hypothesis that mutated CLC‐5 proteins alter the apical surface of epithelial nephron cells and encourage CaOx aggregation/adhesion. It is also possible that decreased internalization and dissolution of CaOx crystals which form on the cell surface plays a role, as the greatest crystal adhesion/agglomeration was found within the 35 μm diameter circle around cells transfected with mutated CLC‐5 (35 μm > 55 μm > 75 μm). Further investigation into the impact of specific CLC‐5 mutation of protein structure and function, including protein‐protein interactions, is needed. Support or Funding Information Supported by O'Brien Urology Research Center U54‐DK100227 summer student supplement and the Rare Kidney Stone Consortium (U54‐DK083908)

Dent disease 1, an X‐linked inherited kidney disease caused by mutations in the CLCN5 gene, is characterized by low molecular weight proteinuria (LMWP), hypercalciuria, nephrocalcinosis, nephrolithiasis, rickets, and progressive renal failure. CLCN5 encodes the CLC‐5 protein found at the apical membrane in the kidney proximal tubule as well as endosome membranes of other tubule segments. Approximately 80 human mutations of the CLCN5 gene have been identified consisting of nonsense, missense, splice site, insertion and deletion mutations. However, the genotype and phenotype correlation are poor, and the mechanisms of CLC‐5 dysfunction that cause disease are still unclear. Moreover, there has been a lack of systematic study of CLC‐5 mutational effects on Cl − /H + exchanger activity. To address this need we used ion selective microelectrodes to monitor intracellular pH (pH i ) and intracellular Cl − concentration ([Cl i ]) of Xenopus oocytes expressing WT and mutant CLC‐5 while clamping at +40 mV. Common and novel mutations were identified in Dent patients by collaborators in the Rare Kidney Stone Consortium. The apparent H + :Cl − coupling ratio through the CLC‐5 protein was calculated using the Gibbs‐free energy equation. Cellular localization and protein trafficking of WT and mutant CLC‐5 in renal epithelial cells were also examined by immunofluorescence microscopy using eGFP/HA double‐tagged CLC‐5 and organelle‐specific markers and quantified by flow cytometry. In the presence of 104 mM Cl − (ND96), the pH i and [Cl − ] i of the CLC‐5 WT increased 340 ± 59 ×10 −4 pH unit/min and 2.8 ± 0.5 mM/min, respectively. T657S increased at a similar rate as WT, while there was a significant decrease in the rate of pH i and [Cl − ] i change for S244L, R345W, and Q629X compared to WT. Decreasing extracellular chloride to 5 mM decreased WT ClC‐5 pH i and [Cl − ] i by reversing transport: −7 ± 65 ×10 −4 pH unit/min and −0.2 ± 0.2 mM/min, respectively. Using these measurements, the stoichiometry of WT CLC‐5 was calculated to be 1.80 ± 0.02 (nCl − :H + ) in ND96, similar to the stoichiometry estimated for T657S. However, the stoichiometry was significantly altered for S244L, R345W, and Q629X. WT ClC‐5 acts as Cl − /H + exchanger at +40mV with 104 mM Cl − in the extracellular solution. Lowering extracellular Cl − reverses the transport direction, and the ClC‐5 exchanger functions at a significantly slower rate. Although S244L has normal surface expression, S244L and R345W mutations have significantly decreased pH and Cl − exchange rates in response to solution manipulations, suggesting these mutations have an altered ion exchange coupling ratio (stoichiometry). Interestingly, while R345W was retained in the ER suggesting defective protein maturation, R345W surface localization was rescued by lowering the incubation temperature from 37 to 30°C. Q629X was retained in the ER, not localized in early endosomes, and also has abolished Cl − /H + exchange activity, suggesting that Q629X affects protein maturation and trafficking while T657S is a benign, non‐disease causing mutation. These data suggest studying CLC‐5 mutational effects on both transport function and cellular localization is essential to better understand divergent phenotypes in Dent disease. Support or Funding Information NIH DK101405, U54KD083908, U54DK100227, Mayo O'Brien Urology Research Center, Mayo Clinic Rare Kidney Stone Consortium

Abstract Although the majority of HPV (+) oropharyngeal squamous cell carcinoma (OPSCC) patients exhibit a favorable prognosis, approximately 20% face recurrent or metastatic disease, posing management challenges. Therefore, the identification of robust prognostic markers for risk stratification is essential. Our study focused on the comprehensive characterization of intratumor heterogeneity within the tumor immune microenvironment (TME) in both primary tumors and metastatic lymph nodes. Utilizing computational approaches, we integrated hematoxylin and eosin (H&E) and 11 adjacent immunohistochemistry (IHC)-stained slides to investigate the cellular composition and functional characteristics across different regions within the TME. Based on these detailed immune characteristics, we classified patients into specific immune subtypes. Our integrative TME analysis indicated that patients with high tumor-infiltrating lymphocytes (TIL), increased CD8 + levels, and reduced CD163 + cell counts within their primary tumors were likely to have a more favorable progression-free survival outcome. The integration of H&E and IHC data enhances the functional characterization of immune phenotypes of the TME with biological interpretability and improves patient stratification in HPV(+) OPSCC.

518 Background: Oncology has entered the digital era, accompanied by changes in patient interactions and expectations involving telemedicine. While much emphasis is appropriately placed on digital interactions with patients, little is known about modern non-digital interactions with patients in oncology practices. Methods: We analyzed Medical Oncology Pager (MOP) data from 7/1/18 – 4/14/23, during which patients had access to the electronic health record and messaging capabilities. The MOP for Mayo Clinic (Rochester) is covered by the medical oncology fellows, including after hours (6PM – 7AM). It covers consults and direct patient calls after hours and during weekends, in addition to critical results back up and inpatient oncology matters at all times. We also analyzed Medical Oncology Call Center (MOCC) data since 6/1/22, which takes inbound patient calls during working hours (7AM – 6PM) and is staffed by appointment office employees. Results: The MOP received a total of 17,679 pages during the analyzed period for a mean of 10.1 pages per day. Of these, 6,319 pages occurred after hours. The most after-hours pages were received on Fridays (n=1,091) and the least on Sundays (n=701); of those years with fully available data, 2022 had the highest volume (n=1,405) (Table 1). When comparing the MOP activity pre-pandemic (7/1/18 – 3/10/20) and intra-pandemic (3/11/20 – 4/14/23), the mean number of after-hours pages per day was relatively stable with 3.47 pre-pandemic and 3.69 intra-pandemic. Since 6/1/22, the MOCC has averaged 6,464 inbound calls per month during working hours, each of which had an average talk time of approximately five minutes. The majority of inbound calls occur on Monday mornings between 9 – 11AM, with over 6,500 recorded throughout the previous year. Conclusions: Telemedicine is multi-faceted, comprised of both digital and non-digital patient interactions. We show that many oncology patients utilize telephone communication with the healthcare system despite increased availability of digital capabilities. These data have implications for addressing the digital divide for those with limited digital access, serving older patient populations unfamiliar with digital technologies, healthcare navigation, trainee responsibilities, and resource allocation. Further work and standardization in non-digital telemedicine is necessary as it remains a pillar of modern healthcare delivery and oncology practices.[Table: see text]