Nelson, Garth D.

TPS4170 Background: IMbrave150 is the first study demonstrating the benefit of anti-PDL1 in the frontline treatment of aHCC, and established Atezo/Bev as a new 1st line standard for aHCC. There is currently limited evidence to guide subsequent therapy for aHCC patients progressing on Atezo/Bev. ACCRU-GI-2008 is designed to determine the benefit of continuing Atezo into 2nd line and the safety of Atezo plus a MKI in patients with aHCC who previously received Atezo/Bev. The study is being conducted across 12 centers in the United States (ClincalTrials.gov#: NCT05168163). Methods: This study utilizes a 2:1 randomized phase II design where eligible patients will receive either Atezo/MKI (experimental arm) or MKI alone (control). Patients will be stratified according to the MKI choice (cabozantinib or lenvatinib, per physician’s decision), etiology of HCC (viral vs. non-viral) and alpha-fetoprotein level ( < 400 vs. > = 400 ng/mL). The major eligibility criteria are histological/cytological diagnosis or clinical diagnosis of HCC per the AASLD or WASL 2018 guidelines, has advanced disease not amendable to curative treatment, previously received and progressed on Atezo/Bev, has received only 1 previous line of systemic therapy (2nd line only), ECOG PS 0-1, Child Pugh Class A, adequate organ reserves and RECIST v1.1 measurable disease; previous MKI for advanced disease is excluded. The primary endpoints are overall survival (OS) and progression free survival (PFS). A total sample size of 122, with 89 PFS events, we will have 80% power to detect an improvement in median PFS from 4 to 7 months, assuming a one-sided significance level of 0.05. With approximately 84 deaths, we will have 80% power to detect an improvement in median OS from 10 to 18 months, assuming a one-sided significance level of 0.05. The overall one-sided significance level, for the study, is 0.1. An OS interim analysis will be conducted at 89 PFS events. Secondary endpoints include objective response, duration of response, and adverse events. Archival tumor and serial blood samples will be collected to evaluate for potential prediction biomarkers and mechanisms of sensitivity/resistance. Baseline and on-treatment tumor biopsy specimens will also be collected from the initial 10 patients of each arm. The study is approved by the ethics committee and enrollment to the study will be underway by Q2/3 2022. Clinical trial information: NCT05168163.

4044 Background: To aid in decisions regarding adjuvant therapy (AT) for resected high-risk CC, two prog models are in common use: the Mayo Clinic NUM calculator developed from a pooled data analysis of 7 randomized 5FU-based AT trials, and ADJ! developed using SEER data. This study examines the accuracy of NUM and ADJ! utilizing a cohort of patients (pts) referred to the BC Cancer Agency (BCCA). Methods: Demographic, disease and treatment data for pts with stage II/III CC referred to the BCCA from 1995–1996 + 1999–2003 were collected. Observed (obs) 5-year relapse free survival (RFS) and overall survival (OS) were compared to predicted estimates (pred) using NUM and ADJ!, both overall and for all prog subgroups with ≥ 10pts, as stratified by T stage, N stage, tumor grade and age. Data are presented in a descriptive manner and using confidence intervals. Results: Median follow-up was 5.6 yrs for 2,033 pts - 53% male, median age 68y, 40% N0. The mean percentages of 5 year pred outcomes for each of the two models and the actual Kaplan Meier mean survivals are presented in the table . The percentage correct predictions of 5 y status is also presented, with correctness deemed accurate if the pt was alive and predicted to be alive by ≥ 50% as determined by each model or dead while the respective tool predicted < 50% possibility of being alive. For surgery alone pts, ADJ!pred were more often closer to what was observed, as compared to NUMpred, in the prog subgroups (for RFS 56%, OS 88%). For surgery + 5-FU pts, within these subgroups, NUMpred were more often closer to what was observed, as compared to ADJ!pred, for RFS (62%) and for OS (55%). Conclusions: In this independent population-based validation, NUM and ADJ! have acceptable and similar reliability with modest over-estimations of 5y RFS and OS. Both models thus appear to be useful adjuvant decision-aids. [Table: see text] No significant financial relationships to disclose.

e15031 Background: Two web based prognostic calculators, Adjuvant! and Numeracy (JCO 22:1797–1806, 2004) are widely used to provide individual patient outcome predictions to aid decisions regarding adjuvant therapy for colon cancer. The comparability of these tools has not been studied yet. The aim of this project was to assess whether the Numeracy and Adjuvant! Colon cancer prognostic tools produced similar results for patients with resected stage II and III colon cancer based on a set of hypothetical patients. Methods: All possible hypothetical scenarios were formulated for the Numeracy calculator based on all potential combinations of age, lymph nodes status, tumor stage, and grade of tumor. These were applied to three post- surgical therapy choices: observation, 5-FU (5-fluorouracil), or FOLFOX (5-FU, leucovorin and oxaliplatin). Predictions for these hypothetical scenarios (N= 192 for males and 192 for females) were also entered into the Adjuvant! Program. Predicted relapse free survival (RFS) and overall survival (OS) were obtained using both calculators. Wilcoxon signed rank tests were used to compare the numerical predictions between the calculators for each outcome. Results: In the majority of the 384 hypothetical patient scenarios, predictions for RFS and OS from Adjuvant! were statistically significantly higher than from Numeracy (p value < 0.05), except for age≥70 for FOLFOX, and the number of positive nodes of 0 and 1–4 using FOLFOX, among males. The net estimate of benefit for RFS and OS for 5-FU over surgery, obtained from Adjuvant! and Numeracy, were similar (for both males and females), but the benefit in RFS and OS for FOLFOX over 5-FU obtained from Adjuvant! was significantly lower than the estimate obtained from Numeracy (p value < 0.05). Conclusions: Based on a hypothetical set of patients with resected stage II and III colon cancer, the estimated benefit in RFS and OS of FOLFOX over 5-FU based chemotherapy is lower in Adjuvant! than in the Numeracy tool (but benefit for 5-FU over surgery alone is similar). Further studies are needed to clarify the discrepancy and to assess which of these tools most accurately reflects actual patient outcome. No significant financial relationships to disclose.

3526 Background: Prior observational studies have suggested that smoking is associated with poorer overall survival after colon cancer (CC) diagnosis. Using data from N0147, a phase III randomized adjuvant trial of patients with stage III CC, we assessed the relationship between smoking status and cancer outcomes (disease-free survival (DFS) and time to recurrence (TTR)), accounting for possible heterogeneity by patient and tumor characteristics. Methods: Patients completed a risk factor questionnaire at baseline prior to randomization to FOLFOX or FOLFOX+cetuximab (N=1968). Information was collected on smoking and other lifestyle factors, including alcohol consumption, body mass index (BMI), and physical activity. Multivariate Cox models assessed the association between smoking history and the primary trial outcome of DFS, as well TTR, adjusting for other lifestyle and clinical factors. The median follow-up was 3.5 years. Results: Overall, 52% of patients were former or current smokers. Compared to never smokers, ever smokers experienced significantly shorter DFS [3-year DFS: 70% vs 74%, hazard ratio (HR)=1.21, 95% confidence interval (CI): 1.02-1.42]. This association persisted after adjusting for age, sex, tumor subsite, number of nodes involved, T-stage, mismatch repair deficiency, BRAF mutation status, performance score, physical activity, BMI, and alcohol consumption (HR=1.23, 95% CI: 1.02-1.49). There was significant interaction in this association by BRAF mutation status (p=0.02): smoking was associated with shorter DFS in BRAF wildtype CC patients (HR=1.25, 95% CI: 1.04-1.51) but not in BRAF mutant CC patients (HR=0.72, 95% CI: 0.47-1.10). Patterns of association with smoking, overall and by BRAF status, were identical in analyses of TTR. Conclusions: Overall, smoking was significantly associated with shorter DFS and TTR in CC patients. These adverse relationships were most evident in patients with BRAF wildtype CC.

3514 Background: Activating mutations in the BRAF oncogene (mutBRAF) are associated with deficient MMR (dMMR) in sporadic colon cancers and are mutually exclusive with KRAS mutations (mutKRAS). We evaluated BRAF and KRAS in relation to MMR and disease-free survival (DFS) in stage III pts treated with adjuvant FOLFOX +/-cetuximab; study was amended mid-way to require prospective KRAS testing (Alberts SR, ASCO 2010). Methods: Extracted DNA from archival tumors was analyzed for BRAF exon 15 (V600E) and KRAS exon 2 mutations by allele specific RT-PCR. Tumors with loss of any MMR protein (MLH1, MSH2, MSH6) were categorized as dMMR vs proficient (pMMR). DFS was censored at 4 yrs; median follow-up was 3.1 yrs. Results: Among 2,686 pts, 12% (314/2580) of tumors were dMMR; 28% (716/2579) had mutKRAS, and 14% (346/2515) had mutBRAF of which 43% (150/346) were dMMR. mutBRAF was associated with high grade, proximal site, T3-4, >4 LNs, and dMMR (all p<0.002); mutKRAS with low grade, proximal, <3 LNs, and pMMR (all p<0.02). Among dMMR tumors, mutKRAS was more frequent in distal vs proximal cancers (28% vs. 8%, p=0.0004). Both mutKRAS (HR=1.42, p=0.0001) and mutBRAF (HR=1.34, p=0.02) were associated with worse DFS and remained significant after adjustment for treatment, MMR, grade, site, T stage and LNs. mutBRAF (p=0.003) and mutKRAS (p=0.003) were each prognostic for DFS in pMMR, but not dMMR tumors (KRAS, p=0.79; BRAF, p=0.60). While MMR was not significant univariately, proximal dMMR tumors had favorable DFS [HR 0.8, 95% CI (0.6-1)] and distal dMMR tumors had poor DFS [HR 2 (1.1-3.4)] after adjusting for KRAS, BRAF, grade, T stage and LNs (pinteraction=0.02). pMMR/mutBRAF (p=0.027) and pMMR/mutKRAS (p<0.001) had worse DFS vs pMMR/bothWT. Conclusions: mutBRAF and mutKRAS were significantly associated with worse DFS independent of treatment, covariates, and each other, with the DFS impact restricted to pMMR tumors. Prognostic impact of MMR was dependent upon tumor site after adjusting for covariates. Support: NIH Grant CA 25224, NCI K05CA 142885, Bristol-Myers Squibb, ImClone, Sanofi-Aventis, and Pfizer.

3523 Background: The association of KRAS or BRAFV600E mutations with prognosis in colon cancers has been inconsistent. Since primary tumor site may influence outcome, we analyzed KRAS and BRAFV600E stratified by tumor site in resected stage III colon cancers from a randomized adjuvant trial of mFOLFOX6 + cetuximab chemotherapy (N= 2,686) where no survival difference by treatment was found. Methods: 2,580 tumors were analyzed for mutations in BRAFV600E (exon 15) or KRAS (codons 12, 13), and for deficient DNA mismatch repair (dMMR). Cox models were used, adjusting for mutation status, age, sex, treatment, T-stage, histologic grade, nodal status, tumor site, and MMR. After study initiation, eligibility was restricted to patients (pts) with KRAS wild-type (WT) tumors. At a median follow-up 4.1 yrs, 83% of pts are alive. Results: KRAS and BRAFV600E mutations were detected in 716 (28%) and 346 (14%) tumors, respectively; dMMR was found in 314 (12%). Proximal (to splenic flexure) tumors (50%) were associated with older age and were more likely to be high grade (33 vs 18%), T-stage3,4 (88 vs 82%), mutated for KRAS (33 vs 23%) or BRAFV600E (23 vs 4%), and dMMR (21 vs 3%)[all p <0.02]. Pts with distal vs proximal tumors showed improved disease-free survival (DFS)[ HR 0.7, 95% CI (0.6-0.9); p<0.01 unadjusted for KRAS or BRAF;]. Mutant KRAS [HR=1.5 (1.2-1.7); p<.0001] or mutant BRAF [HR=1.4 (1.1-1.7); p=0.02] were each independently associated with worse DFS. The KRAS and tumor site interaction was significant (unadjusted pinteraction=0.02; adjusted pinteraction=0.07), with poorer DFS among distal tumors having mutant KRAS [HR 1.7 (1.3-2.2); p<.0001]. No interaction was observed for BRAFV600E and tumor site, despite worse DFS for mutant BRAFV600E among proximal tumors [HR 1.3 (1-1.8); p=0.04]. Conclusions: The adverse prognostic impact of KRAS, but not BRAFV600E, mutations was confined to the distal colon. This finding underscores the importance of tumor site in the interpretation of the prognostic impact of KRAS status, and motivates similar analyses in pts with advanced disease.

7723 Background: It is critical that we understand the impact of patient, tumor, and treatment-related factors on patient prognosis for the proper design and analysis of Small Cell Lung Cancer (SCLC) trials. An analysis of 15 SCLC trials was performed to investigate and improve our understanding of several factors on OS. Methods: Data from 1623 patients (pts) were used. Age, gender, performance status (PS), tumor stage, body mass index (BMI), creatinine levels, hemoglobin levels, white blood cell counts (WBC), platelet counts, and bilirubin levels were tested for prognostic significance for OS both univariately and multivariately using a Cox Proportional Hazards Model. Models were stratified by protocol, and analyses carried out on the complete data available based on the selected covariates. Model discrimination (i.e., ability to discriminate patients with different survival times) was evaluated using the concordance index (COI). Results: Median follow-up was 63.1 months (range: 1.9 to 155.7). 58% and 42% of pts had extensive-stage or limited-stage SCLC, respectively. Patients with extensive-stage disease, PS>0, increased age, and male gender had significantly worse OS both univariately and multivariately. Patients with increased WBC had significantly worse OS univariately, however, WBC was not a significant predictor when adjusted for other factors. None of the other factors were prognostic for OS. Model discrimination improved by 6.3% when age, gender, PS, and stage were included in a model compared to a model with stage alone (COI improved from 0.63 to 0.67). Conclusions: Age, gender, PS and stage did better at predicting OS than stage alone. Further refinement of this model, including the addition of number of metastatic sites at baseline and treatment related factors, is currently underway. No significant financial relationships to disclose. [Table: see text]

7613 Background: Factors influencing the pattern of disease relapse after curative surgical resection in early stage NSCLC is unknown. We sought to evaluate the effect of tumor- and patient-related characteristics on the pattern of disease recurrence (local relapse and/or metastatic disease) and survival in relation to surgical resection for NSCLC. Methods: A consecutive retrospective series of 488 patients seen at Mayo Clinic Rochester who had complete resection of NSCLC between 1997 and 1998 was utilized. Cox proportional hazards model was used to evaluate the effect of age, gender, smoking status, TNM stage, number of lymph node (LN) involved, number of LN resected, and histopathologic diagnosis on RFS. Logistic regression was used to evaluate the effect on recurrence or death within the first 2 years after surgical resection. Results: Data on 342 patients with a median follow-up of 85 months (range: 0.1 to 162) are reported. 60% were male, and 81% had N0 stage at diagnosis. There were 26 (7.6%) never smokers. Median number of LN resected was 20 (interquartile range [IQR]: 14–29). Median age at surgery was 71 years (IQR: 64 to 76). A bi-modal pattern of local recurrence (N=62) after surgery for early stage NSCLC was observed, with 57% of patients having a local recurrence within 2 years and 21% of patients having a local recurrence from 5–7 years post-surgery. The median duration from surgery to first documented recurrence was 16 months (IQR: 8 to 39). While age, N stage, number of LN involved, and T stage were significant predictors of RFS univariately, only lesser LN resected (p=0.008), older age (p<0.0001) and higher T-stage (p=0.003) were significant adverse predictors of RFS in the multivariate analysis when adjusted for all factors. Higher T-Stage was associated with a significantly increased risk of recurrence or death within the first 2 years after surgical resection (p =0.004). Updated results using data from all 488 patients will be presented in the meeting. Conclusions: A trend towards a bimodal distribution of local recurrences after surgical resection of early stage NSCLC was observed. Increased number of LN resected, younger age and lower T stage were associated with better RFS. No significant financial relationships to disclose.

Abstract Abstract 2862 Follicular lymphoma (FL) is a B-cell malignancy that exhibits significant intratumoral infiltration by non-malignant T lymphocytes. The pathophysiological significance of infiltrating T cells is poorly understood but recent studies have suggested that CD4+CD25+ regulatory T (Treg) cells are highly represented in lymph nodes involved by FL. These Treg cells display the ability to suppress the proliferation and cytokine production of other tumor-infiltrating T cells and migrate to areas of B-cell lymphoma in response to chemotactic signals provided by the malignant B-cells. Denileukin diftitox, a chimeric immunotoxin composed of the modified cytotoxic domain of diphtheria toxin and human interleukin-2 (IL-2) protein, targets cells expressing CD25 and has proven efficacy in patients with relapsed B-cell lymphoma. In this study, we combined denileukin diftitox with rituximab in a cohort of previously untreated, advanced-stage follicular lymphoma patients. Our hypothesis was that denileukin diftitox would deplete the Treg cells, thereby removing the inhibition of the immune response, and rituximab would deplete the B-cells thereby preventing further recruitment of Treg cells to the areas of lymphoma. Between August 2008 and March 2010, twenty-four patients with stage III and IV follicular grade 1 or 2 non-Hodgkin lymphoma were accrued to the study. One patient died before treatment was given and is not included in the analysis. The median age was 60 years (range: 27 – 79), 12 (52%) of the patients were male, 19 (83%) had a PS of 0 and 4 (17%) had a PS of 1. Based on the Follicular Lymphoma International Prognostic Index (FLIPI), 3 (13%) were low risk, 14 (61%) were intermediate risk and 6 (26%) were high risk. Patients received rituximab 375 mg/m2 on days 1, 8, 15 and 22 and denileukin diftitox 18 mcg/kg/day on days 1–5 every 3 weeks for 4 cycles. A median of 4 cycles of therapy was given (range: 1 – 4). Thirteen patients completed treatment per protocol (57%), however 5 patients discontinued treatment due to adverse events (22%), 2 refused further treatment (9%) and 1 discontinued due to disease progression (4%). Nine of the 23 patients (39%; 95% CI: 21–61%) responded to treatment, 3 (13%) had a complete response and 6 (26%) had a partial response. Twenty-one patients (91%) are alive with a median follow-up of 8.7 months (range: 3.4–19.5). Seven (30%) patients have progressed and two (8.7%) has died. The median time to progression is 13.4 months (95% CI: 10.4 – NA). The combination, however, was associated with significant toxicity. Thirteen patients (57%) experienced grade 3 or greater adverse events. Six patients (26%) had symptoms of capillary leak syndrome, 1 of whom died. In correlative studies performed on the peripheral blood, the number of CD25+ T-cells decreased after treatment when compared to pretreatment numbers (median 24%; range: 8–44%). We conclude that while the addition of denileukin diftitox to rituximab decreased the numbers of CD25+ T-cells, denileukin diftitox contributed significantly to the toxicity of the combination. Furthermore, the overall response rate and time to progression in this study were no better than what would be expected in follicular lymphoma patients treated with rituximab alone. Disclosures: No relevant conflicts of interest to declare.