Rosenthal, Allison

Introduction Lymphoid malignancy (LM) is a heterogenous neoplasm with respect to biology, aggressiveness, and treatment with over 100 subtypes, including Hodgkin lymphoma (HL), non-Hodgkin lymphoma (NHL), and multiple myeloma (MM). Genome-wide association studies have identified common variants associated with risk of specific LM subtypes, but less is known about the contribution of rare inherited pathogenic variants (PV) in the genetic architecture of LM risk. Rare PV have been shown to contribute to the genetic architecture of solid tumor cancer risk, many of which have been found in genes that are important to the DNA-damage repair (DDR) pathway (e.g., BRCA1, BRCA1, ATM). Here, we investigated the prevalence of PV in cancer predisposition genes regularly included on multi-gene panel testing based on NCCN guidelines and correlated with risk of LM overall and by common subtypes. Methods In this association study, cases were newly diagnosed lymphomas (excluding chronic lymphocytic leukemia) from Mayo Clinic who were enrolled between 2002 and 2015 in the Lymphoma SPORE Molecular Epidemiology Resource (MER) and MM from Mayo Clinic enrolled primarily between 1998 and 2022 in a clinical registry. Controls were from the Mayo Clinic Biobank who were enrolled between 2009 and 2016, from which we excluded individuals with a history of hematologic malignancy. All participants provided a blood sample for whole exome sequencing, performed by Regeneron on an Illumina NovaSeq panel (mean coverage of 48X). Variants were called using GATK v4 and variant annotation was performed using BioR. All loss-of-function variants (i.e., nonsense, frameshift, and consensus splice sites) and pathogenic missense in 19 cancer predisposition genes with a minor allele frequency < 0.5% were included in the analyses. Logistic regression was used to estimate odds ratio (OR) and 95% confidence intervals (CI) for the association between mutation status by gene (burden test) and risk of LM overall, and by subtype that had more than 5 mutation carriers. All analyses were adjusted for age (at diagnosis for cases and at enrollment for controls) and sex. Results A total of 6990 cases and 42432 controls were included. Median age was 63 years for both cases and controls (case range 18-94 years, control range 18-99 years). Males accounted for 58.5% (n=4090) of the cases and 41.7% (n=17762) of the controls. MM accounted for 31% (n=2138) of the cases, followed by diffuse large B-cell lymphoma (DLBCL, n=1146) and follicular lymphoma (FL, n=1132) each accounting for 16% of cases. CHEK2 (1.0%), ATM (0.4%), BRCA2 (0.4%), and BRCA1 (0.3%) had the most PV carriers in controls; these frequencies are in the range of published control populations. A total of 1816 (3.7%) individuals had a PV across the 19 genes, with 4.7% of cases and 3.5% of controls carrying any PV (OR=1.34, 95% CI: 1.18-1.51). ATM (OR=1.86, 95% CI: 1.36-2.49), CHEK2 (OR=1.74, 95% CI: 1.42-2.13) and TP53 (OR=9.07, 95% CI: 4.51-18.87) were all significantly associated with increased risk of LM overall (Figure 1). When investigating subtypes (Table 1), CHEK2 (OR=1.93, 95% CI: 1.23-2.89) and TP53(OR=10.97, 95% CI: 3.06-31.43) were significantly associated with DLBCL. ATM (OR=2.22, 95% CI: 1.13-3.90) was significantly associated with FL. ATM (OR=1.97, 95% CI: 1.16-3.12), CHEK2 (OR=1.75, 95% CI: 1.24-2.41) and TP53 (OR=7.67, 95% CI: 2.43-20.72) were significantly associated with MM and ATM (OR=8.62, 95% CI: 4.47-15.12), NBN (OR=6.94, 95% CI: 2.41-15.76) and TP53 (OR=38.30, 95% CI: 10.27-116.69) were significantly associated with mantle cell lymphoma (MCL). When subset to LM cases overall, there was no evidence of enrichment for young onset (age <60 years), male sex, or family history of hematologic malignancy between PV carriers and non-PV carriers. However, FL cases with an ATM PV tended to be less than 60 years (OR=3.21, P=0.09) compared to non- ATM PV carriers. Similarly, MM cases with a TP53 PV tended to be less than 60 years of age (OR=7.39, P=0.07) compared non-carriers. Discussion In this large case-control study, PV in established cancer predisposition genes were associated with increased risk of LM overall, demonstrating that rare inherited variants may play an important etiologic role. This study also suggests that PV in cancer predisposition genes may be subtype specific. These results will help inform LM risk for individuals who undergo genetic testing of cancer predisposition genes.

Background: Anti-CD19 chimeric antigen receptor T-cell (CART) therapy is a standard of care in patients (pts) with relapsed or refractory (RR) large B-cell lymphoma (LBCL). However, it remains underutilized in elderly pts due to limited efficacy and safety data. We therefore evaluated real world outcomes of CART in such pts. Methods: Seven academic centers participated in this retrospective study. Pts aged ≥65 years with RR LBCL who received a commercial CART product were included. Baseline characteristics, treatment data, CART toxicity, and clinical outcomes were collected. Progression-free survival (PFS; time from infusion to disease progression or death) and overall survival (OS; time from infusion to death from any cause) were analyzed using Kaplan-Meier method. Cumulative incidences of non-relapse mortality (NRM) and disease relapse/progression were estimated accounting for competing risks. Statistical analyses were performed in JMP v15 and XLSTAT v2022.1.2. Results: 209 pts were identified. Baseline characteristics and treatment pattern are shown in Table. Median age at infusion was 71 years (range 65-89), and 25 (12%) were ≥80 years. 131 (63%) were male, 188 (90%) were white, and 27 (13%) had ECOG PS of ≥2. The median HCT-CI was 1 (range 0-6), and 39 (22%) pts had a score of ≥3. 165 (84%) had stage III-IV disease, 131 (70%) had extranodal involvement, 24 (18%) had bulky disease, and 24 (11%) had high grade B-cell lymphoma (HGBL; double- or triple-hit lymphoma, n=15; HGBL, NOS, n=9). The median number of prior lines of therapy was 2 (range 1-8), and 99 (48%) pts had ≥3 prior lines of therapy, 45 (22%) had prior bendamustine, and 44 (21%) had prior stem cell transplant (SCT; auto-SCT, n=41; allo-SCT, n=2; both auto- and allo-SCT, n=1). Bridging therapy was given to 100 (52%) pts; among those, 57 had chemotherapy, 20 had radiotherapy, 6 had both chemotherapy and radiotherapy, 10 had lenalidomide-based regimen, and 7 had CD20 antibody and/or corticosteroids. Axicabtagene ciloleucel (axi-cel) was most frequently used (63%, n=131), followed by lisocabtagene maraleucel (liso-cel) (24%, n=49) and tisagenlecleucel (tisa-cel) (13%, n=27). Cytokine release syndrome (CRS) occurred in 75% of pts, and a minority (6%) had grade ≥3. Immune effector cell associated neurotoxicity syndrome (ICANS) occurred in 55%, and 29% had grade ≥3. The management of CRS and ICANS included corticosteroids in 101 (49%) pts, tocilizumab in 116 (56%) pts, and other biologic agents (anakinra, siltuximab, basiliximab) in 8 (4%) pts. Day 30 response was evaluable in 195 pts with an objective response rate (ORR) of 84%, and a complete response rate (CR) of 52%. 82% of the responders continued to have a response at 3 month follow up. The ORR/CR rates were 86%/53% for axi-cel, 64%/44% for tisa-cel, and 89%/52% for liso-cel, respectively. At a median follow up of 19.1 months (95% CI 16.1-23.6) after infusion, the median PFS was 6.7 months (95% CI 5.1-11.5), with 6- and 12-month PFS rates of 54% (95% CI 47-61) and 43% (95% CI 35-50), respectively. The median OS was 16.5 months (95% CI 13.2-26.7), and the 6-and 12-month OS rates were 70% (95% CI 64-77) and 61% (95% CI 54-68), respectively. The NRM rate was 17% (95% CI 11-24) at 1 year, primarily due to infections including 5 COVID-19 related deaths. In univariate analysis, ECOG PS ≥2, bulky disease, elevated LDH, and the need for bridging therapy were associated with inferior PFS and OS. No significant difference in PFS and OS was seen based on age at infusion with a median PFS of 6.4 vs 9.6 vs 6.4 vs 6.0 months ( P=0.93) (Figure) and OS of 16.4 vs 19.2 vs 28.5 vs 12.7 months ( P=0.85) in age groups ≥65-69 vs ≥70-74 vs ≥75-79 vs ≥80-89. In addition, there was no statistically significant difference in PFS and OS based on type of CART with a median PFS of 6.4 vs 5.6 vs 12.7 months ( P=0.16) and OS of 15.1 vs vs 16.1 vs NR months ( P=0.24) in pts treated with axi-cel vs tisa-cel vs liso-cel. Conclusions: In this large multicenter study of elderly pts with RR LBCL, CART therapy demonstrated favorable efficacy and safety profile comparable to that in pivotal registration trials. Survival outcomes appeared similar regardless of patient age, including those aged ≥80 years, and type of CART product used. Similar to younger pts, high tumor burden and poor performance status at CART infusion were associated with inferior survival. This analysis confirms that older pts should not be excluded from receiving CART therapy solely due to chronological age.

AbstractAnti‐CD19 chimeric antigen receptor T‐cell therapy (CART) has revolutionized the outcomes of relapsed and/or refractory B‐cell non‐Hodgkin lymphoma. However, CART is still limited by its availability, toxicity, and response durability. Not all patients make it to the CART infusion phase due to disease progression. Among those who receive CART, a significant number of patients experience life‐threatening cytokine release syndrome toxicity, and less than half maintain a durable response with the majority relapsing in pre‐existing sites of disease present pre‐CART. Radiation therapy stands as a promising peri‐CART and salvage treatment that can improve the outcomes of these patients. Evidence suggests that bridging radiotherapy prior to CART controls the disease during the manufacturing period, augments response rates and local control, cytoreduces/debulks the disease and decreases the severity of cytokine release syndrome, and may prolong disease‐free intervals and survival especially in patients with bulky disease. Consolidative radiotherapy for residual post‐CART disease alters the pattern of relapse and improves local recurrence‐free and progression‐free survivals. Salvage radiotherapy for relapsed post‐CART disease has favorable survival outcomes when delivered comprehensively for patients with limited relapsed disease and palliates symptoms for patients with diffuse relapsed disease. The biology of the disease during the peri‐CART period is poorly understood, and further studies investigating the optimal timing and dosing of radiation therapy (RT) are needed. In this review, we tackle the most significant challenges of CART, review and propose how RT can help mitigate these challenges, and provide The Mayo Clinic experts' approach on incorporating RT with CART.

SummaryMantle cell lymphoma (MCL) is clinically and biologically heterogeneous. While various prognostic features have been proposed, none currently impact therapy selection, particularly in older patients, for whom treatment is primarily dictated by age and comorbidities. Herein, we undertook a comprehensive comparison of clinicopathological features in a cohort of patients 60 years and older, uniformly treated with bendamustine and rituximab, with a median survival of >8 years. The strongest prognostic indicators in this cohort were a high‐risk call by a simplified MCL international prognostic index (s‐MIPI) (HR: 3.32, 95% CI: 1.65–6.68 compared to low risk), a high‐risk call by MCL35 (HR: 10.34, 95% CI: 2.37–45.20 compared to low risk) and blastoid cytology (HR: 4.21, 95% CR: 1.92–9.22 compared to classic). Patients called high risk by both the s‐MIPI and MCL35 had the most dismal prognosis (HR: 11.58, 95% CI: 4.10–32.72), while those with high risk by either had a moderate but clinically relevant prognosis (HR: 2.95, 95% CI: 1.49–5.82). A robust assay to assess proliferation, such as MCL35, along with stringent guidelines for cytological evaluation of MCL, in combination with MIPI, may be a strong path to risk‐stratify older MCL patients in future clinical trials.

AbstractThough survival outcomes among adolescents and young adults (AYAs) with lymphoma have improved over the last three decades, socially vulnerable populations including non‐White, low‐income, and publicly insured groups continue to trail behind on survival curves. These disparities, while likely the result of both biological and non‐biological factors, can be largely attributed to inequities in care over the full cancer continuum. Nationally representative studies have demonstrated that from diagnosis through therapy and into long‐term survivorship, socially vulnerable AYAs with lymphoma face barriers to care that impact their short and long‐term survival. Thus, improving outcomes for all AYAs with lymphoma requires dedicated study to understand, and then address the unique challenges faced by non‐White and low‐income lymphoma populations within this age group.