Abstract Chronic inflammation is a well-established carcinogenic pathway for colorectal cancer (CRC), but the role of inflammation in CRC prognosis is not well understood. Since cytokines are central in extensive biological networks to regulate inflammation, it is of great importance to investigate inflammatory cytokines and CRC survival. Among an NCI-sponsored adjuvant chemotherapy trial for patients with stage III colon cancer conducted between 2010 and 2015 (CALGB/SWOG 80702), we collected serum samples from 1,498 participants at a median of 1.6 months (interquartile [IQR]: 1.3-1.9 months) after surgery. IL-6, TNFR2, and hsCRP were assayed as biomarkers of chronic inflammation and were categorized into quintiles. The primary outcome was disease-free survival, defined as time from randomization to recurrence or death from any cause. Secondary outcomes included overall survival and time to recurrence. We estimated the associations of inflammatory biomarkers with survival using multivariable Cox proportional hazards regression. Of 1,498 participants (median follow-up: 5.9 years), mean age was 61.3 years, 82.2% were White, 55.5% were male, and 387 experienced recurrence or death. Medians (IQRs) of biomarkers were 2.6mg/L (1.2-5.6mg/L) for IL-6, 2.9×103pg/mL (2.3-3.6×103pg/mL) for TNFR2, and 2.6mg/L (1.2-5.6mg/L) for hsCRP. Compared to the lowest quintile (Q1), the highest quintile (Q5) in inflammatory biomarkers was significantly associated with worse disease-free survival (hazard ratios were 1.52 [95% CI, 1.08-2.15] for IL-6, 1.76 [95% CI, 1.22-2.54] for TNFR2, and 1.66 [95% CI, 1.17-2.35] for hsCRP). Similar patterns were observed for overall survival and time to recurrence. Our findings suggest that higher levels of inflammation after diagnosis were significantly associated with worse survival among those with stage III colon cancer, and reducing inflammation may be considered as a potential intervention to improve CRC survival. Associations of Inflammatory Biomarkers with Survival after Adjustment for Clinicopathologic Factors Q1 Q2 Q3 Q4 Q5 P for Trend Disease-free survival IL-6 1.00 1.14 (0.80-1.62) 1.37 (0.97-1.94) 1.44 (1.02-2.03) 1.52 (1.08-2.15) 0.02 TNFR2 1.00 1.21 (0.84-1.74) 1.43 (0.99-2.05) 1.56 (1.09-2.25) 1.76 (1.22-2.54) 0.002 hsCRP 1.00 1.34 (0.95-1.90) 1.62 (1.15-2.29) 1.26 (0.88-1.80) 1.66 (1.17-2.35) 0.04 Overall survival IL-6 1.00 1.44 (0.91-2.29) 1.56 (0.98-2.48) 1.48 (0.93-2.34) 1.68 (1.07-2.65) 0.09 TNFR2 1.00 1.57 (0.94-2.63) 1.88 (1.13-3.13) 1.92 (1.15-3.20) 2.31 (1.39-3.84) 0.003 hsCRP 1.00 1.27 (0.81-2.00) 1.72 (1.11-2.65) 1.22 (0.77-1.92) 1.73 (1.12-2.69) 0.06 Time to recurrence IL-6 1.00 1.34 (0.92-1.95) 1.48 (1.01-2.16) 1.55 (1.06-2.27) 1.54 (1.05-2.26) 0.07 TNFR2 1.00 1.14 (0.78-1.67) 1.28 (0.87-1.87) 1.48 (1.01-2.16) 1.54 (1.04-2.27) 0.02 hsCRP 1.00 1.27 (0.87-1.83) 1.64 (1.14-2.36) 1.21 (0.82-1.77) 1.55 (1.07-2.26) 0.12 Citation Format: En Cheng, Shi Qian, Anthony F. Shields, Elizabeth M. Cespedes Feliciano, Andrew B. Nixon, Ardaman P. Shergill, Katherine A. Guthrie, Felix Couture, Philip Kuebler, Pankaj Kumar, Dequincy Lewis, Benjamin Tan, Eileen M. O'Reilly, Justin C. Brown, Philip A. Philip, Bette J. Caan, Jeffrey A. Meyerhardt. Associations of inflammatory biomarkers with survival among patients with stage III colon cancer (CALGB/SWOG 80702 [Alliance]) [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 682.
Abstract 2203: Towards prediction of breast cancer risk in benign biopsies with high-plex GeoMx spatial protein profiling
Abstract Background: Biopsy diagnoses of benign breast disease (BBD) confer a 1.5- to 4-fold increased risk of developing breast cancer (BC) compared with women without BBD. Previously, we reported that decreased numbers of specific immune cell types in lobules of BBD biopsies predicted increased BC risk, suggesting the promise of future tissue biomarker studies to define BC risk markers among BBD patients. Thus, we applied protein-based GeoMx® Digital Spatial Profiling (DSP) to BBD biopsies preceding BC (cases) and to BBD biopsies from cancer-free patients (controls) to identify possible BC risk markers, which we then evaluated in subsequent BC tissues and in surrounding normal lobules of cases. Methods: Archived pathology slides of BBD biopsies were reviewed and used to guide preparation of TMAs containing 1.0-mm diameter FFPE cores of lobules from an age- and cohort-period-matched set of 91 cases and 88 controls from the Mayo Clinic BBD Cohort. For patients who later developed BC, we prepared TMAs of BC tissue and surrounding mapped normal lobules. We applied GeoMx® DSP (immune and canonical signaling proteins) to both sets of TMAs. Following QC and data normalization, associations of case status with log-transformed biomarker expression in lobules of BBD biopsies were carried out using linear mixed modeling approaches, accounting for multiple ROIs per individual. Biomarkers significantly associated with case status (p<0.05) were further examined in BCs and adjacent normal lobules, using similar approaches. Results: The mean age at BBD biopsy was 52 years, and at BC diagnosis of cases, 61.4 years (mean time from BBD to BC was 10.2 years). A family history of BC was more frequent among cases (70% versus 43%; chi-square p=0.002). Of 72 biomarkers tested, 46 (64.4%) were evaluable after QC and normalization and 5 were associated with BC risk after adjustment for family history of BC: BCL2 (p=0.005), STING (p=0.006), CD44 (p=0.02), S100 protein (p=0.03) and pan-AKT (p=0.05); each showed higher levels in lobules of BBD biopsies of controls than cases. Three unique patterns appeared when examining these biomarkers across tissue type within cases: for BCL2 (p=5 x 10-9) and STING (p=2 x 10-19), levels were high in both BC and lobules surrounding BC but low in preceding BBD; for GAPDH (p=4 x 10-53) and pan-AKT (p=2 x 10-33), levels were high in BC, low in preceding BBD, and moderate in lobules surrounding BC; and for CD44 (p=2 x 10-6) and S100B (p=2 x 10-49), levels were low in BC, high in lobules surrounding BC and moderate in preceding BBD. Conclusions: Using a novel TMA of lobules in combination with DSP, we preliminarily identified immune-based and PI3 kinase-related protein biomarkers in BBD biopsies associated with BC risk. In case-only analyses, these markers demonstrated complex differences between lobules in BBD biopsies, subsequent BCs and adjacent normal lobules. Citation Format: Robert Alan Vierkant, Jodi M. Carter, Stacey J. Winham, Chen Wang, Jennifer M. Kachergus, Ji Shi, Raymond M. Moore, Bryan M. McCauley, Laura M. Pacheco-Spann, E A. Thompson, Derek C. Radisky, Amy C. Degnim, Mark E. Sherman. Towards prediction of breast cancer risk in benign biopsies with high-plex GeoMx spatial protein profiling [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 2203.
Abstract 5588: PD-1 blockade synergizes with IMiDs to enhance bispecific T cell engager immune responses to Vk*MYChCRBN multiple myeloma by preventing T cell exhaustion
Abstract Bispecific T cell engagers (TCE) are novel immunotherapies for cancer that redirect a synthetic immune response against tumors. Early clinical trial data show that BCMA-targeting TCEs are highly effective immunotherapies for treating relapsed and refractory multiple myeloma (MM). Thus, it is important to define combinatorial approaches that increase the efficacy and durability of TCE. We recently investigated a murine anti-BCMA TCE in the immunocompetent IMiD-sensitive Vk*MYChCRBN model of MM. Our data show that anti-BCMA TCE was safe and efficacious in most mice, but failed in those with high-tumor burden, consistent with clinical reports of TCE in leukemia. We tested the combination of anti-BCMA TCE and IMiDs to provide an additive anti-tumor effect and stimulatory cytokines, such as IL-2 in the tumor environment. This combination expanded cytolytic T cells and improved activity even in IMiD-resistant high-tumor burden cases. Yet, survival was only marginally extended due to T cell exhaustion. We hypothesized that blockade of the inhibitory immune checkpoint PD-1 would synergize with TCE and IMiDs to potentiate the response directed by the TCE by reinvigorating exhausted T cells. We evaluated the efficacy of the triple therapy combination in Vk*MYChCRBN: the anti-BCMA TCE, pomalidomide, and anti-PD1. Checkpoint blockade alone, or in combination with TCE did not improve tumor control or survival compared to control treatments. The triple combination proved most effective at controlling tumor growth, inducing a complete response after 2 weeks of treatment, and was curative in 40% of the mice. Longitudinal analysis of the immune response showed that the addition of anti-PD1 to TCE-IMiDs rescued T cell expansion at tumor sites and sustained expression of activation markers after repeated doses. Longitudinal analysis of blood and bone marrow (BM) cytokines showed the typical profile associated with cytokine release syndrome (CRS) during T cell immunotherapy. Of note, we observed IL-2, IFN-γ, and GM-CSF production was sustained in the BM tumor environment in the triple combination. We suspect that these cytokines, especially IL-2, are key to sustaining non-exhausted effector T cell proliferation in response to TCE therapy. Expectedly, we observed toxicity with the elevated cytokine release in the triple combination. that we anticipate could be controlled with step-up dosing or CRS mitigation treatment. We conclude that combination of PD1 blockade, IMiDs and TCE provides superior efficacy in the immunocompetent preclinical model of MM, Vk*MYChCRBN, while increasing inflammatory pathways that can lead to CRS. Finally, as we found this combination to be curative in some mice, we will investigate whether this combination immunotherapy also enhanced an endogenous anti-tumor immune response leading to protective immunosurveillance. Citation Format: Erin W. Meermeier, Seth J. Welsh, Meaghen Sharik, Megan T. Du, Chang-Xin Shi, Bryant Chau, Feng Wang, Matthew Wheeler, Natalie Bezman, Pavel Strop, P. Leif Bergsagel, Marta Chesi. PD-1 blockade synergizes with IMiDs to enhance bispecific T cell engager immune responses to Vk*MYChCRBN multiple myeloma by preventing T cell exhaustion [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 5588.
Subcutaneous daratumumab (DARA SC) versus active monitoring in patients (pts) with high-risk smoldering multiple myeloma (SMM): Randomized, open-label, phase 3 AQUILA study.
TPS8075 Background: Standard of care for SMM includes active monitoring until progression to multiple myeloma (MM); however, recent evidence suggests pts with high-risk features may benefit from early treatment. DARA is a human IgGκ monoclonal antibody targeting CD38 that is approved as monotherapy for relapsed/refractory MM (RRMM) or in combination with standard of care for RRMM or newly diagnosed MM. Results from the phase 3 COLUMBA study showed that DARA SC demonstrated similar efficacy to intravenous (IV) DARA but with a lower rate of infusion-related reactions and shorter administration time. Based on the promising single-agent activity observed with IV DARA in intermediate- or high-risk SMM pts during the phase 2 CENTAURUS study, we hypothesized that DARA SC may delay progression to MM versus active monitoring in pts with high-risk SMM. Methods: AQUILA is an ongoing, randomized, open-label, multicenter phase 3 study of DARA SC versus active monitoring in pts with high-risk SMM. DARA SC (DARA 1,800 mg + recombinant human hyaluronidase PH20 [rHuPH20; 2,000 U/mL; Halozyme]) is administered by manual injection over approximately 5 minutes at alternating locations on the abdomen weekly in Cycles 1 and 2, every 2 weeks in Cycles 3-6, and every 4 weeks thereafter until 39 cycles (28 days/cycle), up to 36 months, or until disease progression. Eligibility criteria include confirmed diagnosis of SMM for ≤5 years, factors indicating high risk of progression to MM (clonal bone marrow plasma cells [BMPCs] ≥10% and ≥1 of the following: serum M protein ≥30 g/L, IgA SMM, immunoparesis with reduction of 2 uninvolved Ig isotypes, serum involved:uninvolved free light chain ratio ≥8 to < 100, or clonal BMPCs > 50% to < 60% with measurable disease), and ECOG performance status ≤1. The primary endpoint is progression-free survival (PFS), assessed by an independent review committee, with disease progression defined according to International Myeloma Working Group diagnostic criteria for MM. Secondary endpoints include time to biochemical or diagnostic (SLiM-CRAB) progression, overall response rate, complete response rate, duration of response, time to response, time to first-line treatment for MM, PFS on first-line treatment for MM (PFS2), overall survival, and incidence of MM with adverse prognostic features. The study completed enrollment on May 6, 2019; 390 pts have been randomly assigned to DARA SC or active monitoring. The primary efficacy analysis will be performed after approximately 165 PFS events have been observed. Clinical trial information: NCT03301220.
Using T stage to predict outcomes of adjuvant oxaliplatin (OX)-based chemotherapy (CT) in stage III colon cancer (CC): An ACCENT pooled analysis.
3606 Background: Standard adjuvant CT for stage III CC are FOLFOX and CAPOX. Recently, IDEA study separated stage III patients (pts) into low risk (T1 to 3, N1) and high risk (T4 or N2). We recently confirmed benefit of OX in both risk groups. However, we observed a difference in the two high-risk subgroups, with benefit in N2 but not in T4 (Margalit O et al; Clin Colorectal Cancer 2021). This prompted us to compare outcomes (OS/TTR) between treatment with OX vs. without OX within sub-stage III CC groups defined by T and N. Methods: We pooled 4941 stage III CC pts from the three studies evaluating 6 months of CT with fluoropyrimidine (FP) ± OX: MOSAIC, C-07 and XELOXA. Baseline characteristics were compared using χ2 and t-test. OS was compared between OX and no OX in T and N subgroups. Kaplan-Meier analyses, adjusted and unadjusted Cox models stratified by study were used. Sub-groups classification was done according to OX benefit and verified by interaction test (Int) considered as significant with a P<0.1. We considered for recommendation of using OX-based adjuvant CT, 1) significant benefit in OS, 2) significant Int between substage and adjuvant therapy, and 3) the three individual trials showing similar results (benefit or non-benefit of OX). Results: In stage III population, T3 pts were 74.9%, T1-2 12.4%, T4 13.1%, while N stage was N1 64.7% and N2 35.3%. Population was well balanced according to treatment allocation in most subgroups. A significant benefit of OX was only observed in T3N1 and T3N2 (OS HR 0.76). Whatever N stage, there was no significant benefit of OX in the T1-2 and T4 subgroups. The effect of OX+FP vs FP alone in OS of the three studies differed between T3 and T1-2 subgroups (P = 0.047). Interaction was borderline between T3 and T4 subgroups (P = 0.10) but there was no interaction between T1-2 and T4 subgroups (P = 0.429). A benefit of OX in TTR remained in the T4 population. Discrepancy between advantage in time to relapse (TTR) and no advantage in OS was not explained by survival post relapse. Conclusions: Our analysis suggested that pts with T1-2N1-2 and T4N1-2 disease had no OS benefit of addition of OX to FP. The good survival achieved with FP alone in T1-2N1-2 pts (5-yr OS 89%) question the addition of OX. In the T4 population our results suggested that benefit of OX was limited and that further studies should assess this issue or at least stratify pts on T stage in the future adjuvant trials in CC. [Table: see text]
First-line (L1) therapy targeting EGFR in lung metastases (mets) of colorectal cancer (mCRC): An ARCAD pooled analysis.
3578 Background: Monoclonal antibodies (mab) targeting EGFR are recommended in L1 treatment (trt) for mCRC in patients (pts) with RAS wild-type (WT) tumor and primary left CRC. ARCAD database contains individual data of randomized trials that evaluated anti-EGFR mab plus chemotherapy (CT). In this analysis we aimed to evaluate anti-EGFR benefit in mCRC with lung mets, either as single site or multiple sites. Methods: Individual pts data from four trials (PRIME, CRYSTAL, COIN, OPUS) comparing CT +/- anti-EGFR were pooled. KRAS status was not required at inclusion to these studies. The primary endpoint, overall survival (OS), was estimated using Kaplan-Meier method, prognostic value of lung mets was evaluated by stratified Cox models in pts groups defined by KRAS status. The predictive value was evaluated by interaction test (Int) between trt and lung mets status in pts group defined by KRAS status and considered as significant with a P < 0.1. Results: 3681 pts with known KRAS status were included, 2171 WT and 1510 mutant (MT). Pts characteristics were well balanced. Significant median OS benefit of anti-EGFR was observed in the whole KRAS WT population and in the left colon and rectum subgroup but not in the right colon subgroup. In pts with KRAS WT single site mets, a non-significant benefit of anti-EGFR was observed only among pts without lung mets (N = 642). In pts with lung single site mets (N = 129), a significant benefit ( P= 0.018) in the KRAS MT population (N = 55) was observed, but Int was non-significant ( P =0.157). In pts with KRAS WT and multiple without lung mets sites (N = 673), no benefit of anti-EGFR was observed and Int was significant ( P= 0.054). Pts with KRAS MT multiple sites with (N = 656) or without (N = 397) lung mets, had no benefit of anti-EGFR. The same findings were found in the left primary pts and in the two fluoropyrimidine backbone. PFS analyses confirm the OS results. Conclusions: In this ARCAD analysis pts with lung mets as a single site appear to benefit from anti-EGFR L1 therapy in case of KRAS MT. This unexpected result based on a limited sample size cannot be explained on the knowledge of anti-EGFR therapy. Furthermore, pts with multiple mets sites have a benefit of anti-EGFR therapy only in the presence of lung mets even in KRAS WT left primary tumor. These findings need further confirmation and may initiate the search for a specific molecular phenotype associated with lung mets in CRC pts. [Table: see text]
Response to epithelial growth factor receptor inhibitor (EGFRi) treatment in patients with early-onset, treatment-naïve metastatic colorectal cancer (mCRC): An ARCAD database analysis.
3572 Background: Early onset colorectal cancer (eoCRC: disease diagnosed < 50) has been increasing over the past 2 decades. Currently, standard treatment recommendations for eoCRC patients (pts) with metastatic disease does not differ from late-onset CRC (loCRC) pts although outcomes data in eoCRC pts is limited. Methods: Individual patient data on 5,761 treatment-naive metastatic eoCRC pts was pooled from 8 phase II and III randomized EGFRi studies (2000 - 2012) from the ARCAD mCRC database. The distribution of demographics, clinicopathological features, and biomarkers were summarized by age groups. Progression-free survival (PFS) was compared between age groups by stratified Cox models, adjusting for potential confounders. Predictive value of age group was evaluated by testing interaction effect between treatment and age variables based on a subset of trials with concurrent randomizations between regimens with and without EGFRi Results: eoCRC (n=756) were more evenly distributed between gender, had improved performance status (PS), increased likelihood of metastatic resection, and distant lymph node metastasis, but were less likely to have lung metastasis or KRAS mutation compared to loCRC (n=5,005, table 1). eoCRC and loCRC patients had similar distribution of primary tumor sidedness, primary resection, liver and/or peritoneal involvement, number of metastatic sites involved, and BRAF mutations (MT). No difference in PFS for eoCRC versus loCRC pts was noted (7.8 vs. 7.9 months [M], adjusted hazard ratio [HRadj], 1.02, 95% confidence interval [CI], 0.93-1.11). Among pts with KRAS wild type (WT) and left sided primary tumors, univariable analysis of EGFRi demonstrated improved mPFS in loCRC (9.9 vs 8.5M, HR = 0.74, p<0.001), but this benefit was not seen in eoCRC (8.3 vs 8.9 months, HR 1.20, p=0.36). The same pattern was observed upon multivariable analysis (Table). Conclusions: In our pooled analysis, EGFRi + chemotherapy significantly improved PFS in treatment-naïve loCRC patients but not in left sided, KRAS WT, eoCRC patients. Further validation in an independent cohort is warranted. [Table: see text]
Effect of primary tumor sidedness on the association of tumor-infiltrating lymphocytes with survival of patients with stage III colon cancer (NCCTG N0147) [alliance].
3525 Background: Tumor-infiltrating lymphocytes (TILs) are significantly associated with clinical outcomes in patients with colon cancer. However, the potential for a differential effect of TILs on prognosis based on primary tumor sidedness has not been studied. We determined the interaction between TILs and tumor sidedness in relationship to disease-free survival (DFS). Methods: We analyzed data on TIL densities by primary tumor sidedness in 1532 stage III colon carcinomas from participants in a phase III trial of FOLFOX-based adjuvant chemotherapy (NCCTG N0147). TIL densities were dichotomized as low or high (≤3 /HPF) based on an optimized cutoff previously identified for DFS in this cohort. Right-sided tumors were defined as proximal to the splenic flexure. Analysis of TILs and sidedness with DFS were examined using Kaplan-Meier methodology and multivariable Cox regression. Results: Overall, tumors with high vs low TILs had the best DFS [HRadj: 0.58 (95%CI: 0.45-0.74); Padj <0.0001]. The association of TIL densities with 5-yr DFS differed significantly by primary tumor sidedness ( Pinteraction (adj) = 0.045). Among right-sided tumors, high vs low TILs were significantly associated with improved DFS ( Padj <0.0001)[Table]. Among left-sided tumors, however, DFS did not differ significantly for high vs low TILs ( Padj =0.173)[Table]. Similar results for TILs and DFS by sidedness were found for pMMR cancers. We then analyzed our data in low risk (T1-3, N1) and high risk (T4 and/or N2) tumors. Among low risk tumors, high vs low TILs was significantly associated with improved 5-yr DFS only in right-sided tumors ( Padj =0.006) [Table]. Among high risk tumors, high vs low TILs were significantly associated with better DFS in both right-sided ( Padj<0.001) and left-sided ( Padj =0.024) tumors. Conclusions: Overall, tumors with high TIL densities had significantly better DFS in right-sided but not left-sided cancers. Among low risk patients, the association of high TILs with better DFS was limited to right-sided tumors. These findings suggest that TILs should be interpreted by sidedness for prognostication. ClinicalTrials.gov Identifier: NCT00079274 . [Table: see text]
Spurious CD34 expression in B‐cell lymphoma due to nonspecific binding to PerCP‐Cy5.5 fluorochrome conjugates: A rare phenomenon and a diagnostic pitfall
The restricted mean survival time measure has gained a lot of interests for designing and analyzing oncology trials with time-to-event endpoints due to its intuitive clinical interpretation and potentially high statistical power. In the non-inferiority trial literature, restricted mean survival time has been used as an alternative measure for reanalyzing a completed trial, which was originally designed and analyzed based on traditional proportional hazard model. However, the reanalysis procedure requires a conversion from the non-inferiority margin measured in hazard ratio to a non-inferiority margin measured by restricted mean survival time difference. An existing conversion method assumes a Weibull distribution for the population survival time of the historical active control group under the proportional hazard assumption using data from a single trial. In this article, we develop a methodology for non-inferiority margin conversion when data from multiple historical active control studies are available, and introduce a Kaplan-Meier estimator-based method for the non-inferiority margin conversion to relax the parametric assumption. We report extensive simulation studies to examine the performances of proposed methods under the Weibull data generative models and a piecewise-exponential data generative model that mimic the tumor recurrence and survival characteristics of advanced colon cancer. This work is motivated to achieve non-inferiority margin conversion, using historical patient-level data from a large colon cancer clinical database, to reanalyze an internationally collaborated non-inferiority study that evaluates 6-month versus 3-month duration of adjuvant chemotherapy in stage III colon cancer patients.