Citations

3566 Background: According to the various types of clinical trials for metastatic colorectal cancer (mCRC), ETS and DpR are suggested as the surrogates of OS. Whereas associations between ETS/DpR and OS/PPS in the era of chemotherapy (chemo) +anti-EGFR antibody (ab)/bevacizumab (bev) in 1st line therapy have not been elucidated. Methods: From 40,889 Individual patient data (IPD) from 59 studies in ARCAD mCRC database, 2,138 treatment-naïve pts with RAS wild-type (wt) mCRC were selected from 7 randomized studies (PRIME, CAIRO2, CRYSTAL, OPUS, CALGB80495, WJOG4407G, ATOM) of chemo with/without anti-EGFR ab or bev. The ETS was defined as 20%≥ tumor shrinkage at 8 ± 2wks (ETS+: ≥20%, ETS-: <20%). Multivariate Cox regression models for OS/PPS were performed to investigate associations between ETS+ and ETS- by primary tumor location (overall/left-sided/right-sided), adjusting for potential confounders. DpR was defined as tumor shrinkage at nadir. OS/PPS were evaluated across quartile limits of DpR by multivariate Cox regression models. Results: In pts with overall or left-sided RAS wt mCRC, adjusted hazard ratios (HRs) of OS/PPS between ETS- and ETS+ for chemo +anti-EGFR ab, chemo +bev, and chemo alone showed great improvement, respectively (Table). In pts with overall or left-sided RAS wt mCRC, HRs of ETS for OS/PPS are higher in pts treated with chemo +anti-EGFR ab compared to those treated with chemo +bev or chemo alone. Compared to the pts with highest quartile (defined as ≥ 75th percentile (Q3)) of DpR, HRs of OS/PPS for lower quartile groups showed upward trends in pts with RAS wt & overall (Table). Conclusions: ETS/DpR in pts with RAS wt mCRC might be a potential prognostic marker of OS/PPS regardless of targeted therapy and primary tumor location. Superior prognostic values of ETS+ are expected in pts treated with anti-EGFR ab. [Table: see text]

3554 Background: Approximately 30% of patients (pts) diagnosed with colorectal cancer (CRC) develop liver metastases (LM). Liver is the most common organ of metastasis of CRC. The ARCAD database contains individual patient data of randomized trials that included CRC pts with initially unresectable metastases treated with systemic therapy. The aim of this study was to assess the response and survival outcomes in non-LM (NLM) vs LM across different lines of treatment. Methods: We analyzed survival outcomes of mCRC pts with either single site (SS) or multiple sites (MS) according to LM status in the following treatment groups: A: chemotherapy (CT) alone, B: CT + VEGF-antibodies, C: CT + EGFR-antibodies in KRAS wild-type tumors, within first-line (1L) and second line (2L) of therapy and D: pts enrolled on third line (≥3L) trials treated with trifluridine/tipiracil or regorafenib and placebo. The primary and secondary endpoints were overall survival (OS) and progression-free survival (PFS) which were assessed using Kaplan-Meier estimates and adjusted Cox models on ECOG PS, age, and gender. Results: We included 26 trials with 17924 pts. 14066 pts had LM. Pts with LM had a higher rate of colon vs rectum as primary tumor (72 vs 62%; P < .001) and less SS (31 vs 47%; P < .001) than those with NLM. OS and PFS results in subgroups are reported in the table. In groups A and B, we found better OS and PFS outcomes in NLM pts as either SS or MS in 1L and 2L. In group C from 1L, we found better survival outcomes in pts with SS LM. In pts with MS, NLM superiority was observed in OS but not in PFS. However, these results were influenced by primary tumor sidedness. In group D, better OS and PFS was observed in pts without LM than those with LM whether in pts with SS or MS. Response rates were higher in LM than in NLM in most 1L and 2L subgroups. Conclusions: LM is a poor prognostic factor for mCRC increasing from the 1L to ≥3L. Survival with CT alone and CT + anti-VEGF according to LM and NLM differs significantly in 1L and 2L but not with CT + anti-EGFR. This data justifies using LM as a stratification factor at least in ≥3L trials. [Table: see text]

3542 Background: Solid tumors can be characterized by distinct immune phenotypes based on the level of T cell infiltration in the tumor microenvironment (TME) which may provide prognostic information and also inform strategies to restore the anti-tumor immune response. Immune phenotypes were determined using an artificial intelligence (AI) algorithm in digitized whole-slide images (WSI) of tumors with deficient (d) mismatch repair (MMR) vs proficient (p) MMR. Methods: Stage III colon carcinomas (N = 401; 393 met QC) from participants in a phase III trial of FOLFOX-based adjuvant chemotherapy were analyzed including all available tumors with dMMR (n = 196) and a randomly selected cohort of pMMR tumors (n = 195). Using an AI algorithm (Lunit SCOPE) previously trained on solid tumors, digitized tumors were categorized into three immune phenotypes based on epithelial and stromal TIL data-driven cutpoints in dMMR and pMMR (inflamed: TIL high in epithelium (> upper 25%); excluded: TIL high in stroma (>lower 25%), low in epithelium; and desert: TIL low in epithelium and stroma). Phenotypes were then examined in relationship to disease-free survival (DFS) using Kaplan-Meier methodology. Results: Of the 3 immune phenotypes in dMMR tumors, 25% were inflamed, 50% were immune-excluded, and 25% were immune-desert. Based on univariate results, multivariable modeling was performed incorporating immune phenotype in addition to age, histological grade, N stage, T stage, performance status, treatment arm, BRAF and KRAS status and identified immune phenotypes and N stage to be significantly associated with DFS. Among dMMR tumors, immune desert phenotype was associated with the poorest DFS (Desert: HR adj 1.95, 95%CI (1.01, 3.80); Excluded: HR adj 0.89, 95%CI (0.47, 1.69); Inflamed: ref; p:0.01). When compared to immune desert tumors, immune-excluded tumors had significantly better DFS (HR adj 0.49, 95%CI (0.27, 0.88), p:0.01). At a median follow-up of 60 months, 3-year DFS of patients with dMMR was 71.2% with Immune inflamed, 78.5% with Excluded, and 54.5% with Desert phenotypes. In contrast to dMMR, univariate analyses of data-driven cutpoints in pMMR tumors was not prognostic. Using a different data-driven cutpoint (15%), the revised immune phenotypes remained non-significant for DFS within pMMR tumors. Conclusions: Distinct AI-derived immune phenotypes in the TME were identified that were significantly prognostic in patients with dMMR, but not pMMR colon cancers. A data-driven immune-desert phenotype was identified in dMMR tumors that was associated with significantly poorer survival. Further investigation of the potential predictive utility of these phenotypes for immunotherapy are planned. Support: https://acknowledgments.alliancefound.org . ClinicalTrials.gov Identifier: NCT00079274 .

3536 Background: Early-onset colorectal cancer (eoCRC, initial CRC diagnosis at age < 50 years) has been increasing in the past two decades especially in Western countries. This study evaluates somatic and germline profiles in eoCRC compared to average-onset CRC (aoCRC, initial CRC diagnosis at age ≥ 50 years). Methods: This is a retrospective, cross-sectional study utilizing data from de-identified records of colorectal cancer patients tested with the Tempus xT assay from 2017 to 2022. Briefly, the assay is a targeted panel that detects single nucleotide variants, insertions and/or deletions, and copy number variants in 598-648 genes, as well as chromosomal rearrangements in 22 genes with high sensitivity and specificity. Baseline characteristics and immunologic markers were compared between eoCRC and aoCRC by Wilcoxon Rank Sum or Chi-squared test (reporting p-values). Somatic and germline mutations were compared between two age groups with false discover rate adjustments (reporting q-values). Results: In this study, 2,379 eoCRC and 8,627 aoCRC patients were included, with the majority diagnosed with stage IV disease. Additionally, germline alterations were assessed on a subset of 6,311 patients with tumor/normal match testing (eoCRC = 1,413 and aoCRC = 4,898). Left-sided primaries were more common in eoCRC (85% left/rectum in eoCRC vs. 75% left/rectum in aoCRC (p < 0.001), and rates of microsatellite instability-high (MSI-H) or deficient mismatch repair (dMMR) were lower compared to aoCRC (4.2% vs. 6.8%, p < 0.001). eoCRC has a unique somatic mutation profile compared to aoCRC. A higher prevalence of germline mutations was observed in eoCRC overall (6.9% vs. 5%, p = 0.006); however, no statistically significant differences were observed in individual germline genes compared to aoCRC, likely due to relatively small numbers. Conclusions: eoCRC has a unique mutational profile and presence of germline mutations in 6.9% of eoCRC, indicating a potential role for universal germline testing in CRC. [Table: see text]

3533 Background: The BACCI trial (NCT02873195) randomized 133 mCRC pts to C+B+A (investigational) or C+B+placebo. Longer progression free survival (PFS) was observed in the investigational vs placebo arm. To investigate T-cell functional heterogeneity, we performed single-cell proteomic analyses on pts with either long or short PFS and evaluated T-cell function as a prognostic and predictive biomarker. Methods: Isolated CD8+ and CD4+ cells were analyzed at baseline and first restaging from pts with long ( > 6 mo, N = 14) or short ( < 2 mo, N = 13) PFS. Single-cell, functional proteomic analyses were conducted using the IsoLight system (Isoplexis), which assessed secretion of 32 cytokines from an average of 786 cells per sample. The cumulative readout was polyfunctional strength index (PSI), a composite score of frequency and magnitude of secreted cytokines. Cytokines are organized into effector (E), stimulatory, chemoattractive (CA), regulatory, and inflammatory (I) clusters. Differential expression analyses were done using Wilcoxon rank-sum tests. Potential predictive effects were assessed using logistic regressions with interaction between treatment and biomarkers. No multiple comparison control was done due to the exploratory nature of analyses. Results: Baseline CD8+ and CD4+ cells were stimulated ex vivo and single-cell cytokine analyses performed. Prognostic analyses indicated that CD8+ cells from pts with long PFS had ~3-fold higher PSI compared to pts with short PFS (p = 0.005). Further analysis identified that the E (p = 0.005) and CA clusters (p = 0.005) most impacted PSI, significant individual cytokines are listed in the table. Baseline CD8+ cell function was not predictive of outcome. Baseline CD4+ cell function was not prognostic or predictive of outcome. Analysis of CD8+ cells after treatment identified that changes in CA cluster was prognostic of long PFS (p = 0.024). Cytokine changes from CD4+ cells were not prognostic; however, early changes in the CD4+ CA cluster were predictive of outcome (p-int = 0.055). Similarly, early changes in the CD8+ I cluster were predictive of outcome (p-int = 0.073). Conclusions: These results reveal pts with long PFS had more functional CD8+ T-cells with a higher PSI than pts with short PFS. Predictive analyses suggested that early changes in the CD4+ CA and CD8+ I clusters were associated with benefit from immunotherapy. These preliminary results highlight the importance of single-cell functional proteomic analyses. [Table: see text]

3531 Background: Homologous recombination deficient (HRD) colorectal cancer (CRC) has improved overall survival (OS) when exposed to DNA damaging agents (DDA) oxaliplatin (OX) and irinotecan (IR). However, this OS benefit is only observed in HRD mutated CRC. Low expression of wild type (WT) BRCA1 RNA displays prolonged OS in ovarian cancer; this finding has not been investigated in CRC or outside BRCA. We investigate if low expression of WT HR genes is associated with prolonged OS in response to DDA. Methods: A total of 12,860 CRC patients tumor biopsies were analyzed by next-generation sequencing (592, NextSeq; WES, WTS NovaSeq). Patients with HRD mutations and MSI-H were excluded (N = 935). 11,925 patients were included in the analysis. A total of 11 core ( BARD1, BLM, BRCA1, BRCA2, BRIP1, MRE11, NBN, PALB2, RAD50, RAD51, RAD51B) and 7 related ( BAP1, WRN, DNMT3A, ERCC1, FANCA, FANCF, RECQL4) HR genes were analyzed. Samples were classified by RNA expression percentiles within the studied cohort. Real world OS was extracted from insurance claims and calculated using Kaplan-Meier estimates for molecularly defined cohorts from first of OX or IR to last contact. Results: OS benefit is seen in low RNA expression (bottom 10%) compared to high expression (top 10%) of all core WT HR genes except RAD51B, BARD1 and BRCA2 in response to IR. We observe a progressively longer OS with lower associated RNA expression in response to DDA. OS of nearly 7 years was observed in low expressing BRCA1 and RAD51 following IR exposure and 4.5-year OS benefit when compared to high expression of these genes. OS benefit in response to OX was less robust but significantly prolonged in BRCA1 and BRIP1 (Table). Patients harboring HRD mutations had similar OS to WT HR RNA low (bottom 10%) in response to OX (HR = 0.75; p = 0.1) and IR (HR = 0.82; p = 0.36). Conclusions: Here we report a novel subclass of CRC defined as patients with low RNA expressing WT HR genes that exhibit differential sensitivity to DDA. Significantly longer survival is noted in CRC with low expression BRCA1, RAD51 and BLM, while post-OX survival was significantly prolonged with low expression of BRCA1, BRIP1 and FANCA. Further characterization of sensitive HR genes will better predict DDA sensitivity and impact treatment sequencing. [Table: see text]

3528 Background: Tucatinib (TUC) is a highly selective HER2-directed TKI approved by the FDA in combination w/trastuzumab (Tras) for treatment (tx) of pts w/ RAS wild-type HER2+ unresectable or metastatic colorectal cancer (mCRC) that has progressed following tx w/ fluoropyrimidine-, oxaliplatin-, and irinotecan-based chemotherapy. There are currently no established best practices for HER2 testing/interpretation in mCRC. Here we present results of central HER2 testing across multiple platforms and response to tx for MOUNTAINEER pts treated w/ TUC + Tras based on central HER2 status. Methods: MOUNTAINEER (NCT03043313) enrolled pts w/ local HER2+ mCRC using ≥1 method: IHC, ISH, and/or NGS testing; retrospective central assessment of HER2 status was performed on multiple platforms. Pts in cohorts A+B were treated w/ TUC + Tras; pts in cohort C were treated w/ TUC monotherapy. Confirmed objective response rates (cORRs) using RECIST v1.1 per BICR, DOR, and PFS were calculated for pts treated w/ TUC + Tras based on each central testing method. Results: 114 pts were enrolled in cohorts A (n = 45), B (n = 39), and C (n = 30) w/ HER2+ tumors per ≥1 local testing method. Of samples submitted for central testing for Cohorts A and B, 70 per IHC/FISH, 50 per tissue NGS, and 71 per blood NGS had evaluable results. In all cohorts, there was 81.0% (95% CI, 68.6-90.1) agreement between blood and tissue NGS, 92.6% (95% CI, 83.7-97.6) between IHC/FISH and tissue NGS, and 79.5% (95% CI, 69.2-87.6) between IHC/FISH and blood NGS. In cohorts A and B, pts w/ HER2+ tumors by central IHC/ISH had a mDOR of 16.4 months (95% CI: 10.6-25.5) and mPFS of 10.1 months (95% CI: 4.2-15.2). cORR was 41.1% to 47.7% for the 3 assays. Detailed HER2 results are presented in the Table. Conclusions: Percent agreement of HER2 status was highest w/ tissue-based platforms. Detection of HER2 amplification by ctNDA NGS is useful; however, pts w/o HER2 amplification should be confirmed w/ a tissue-based assay. HER2 status by all 3 platforms predicted tx response to TUC + Tras. cORR in IHC2+/ISH+ was numerically lower but remained clinically relevant. These data support use of the above methods to identify HER2+ mCRC patients that may benefit from TUC + Tras. Clinical trial information: NCT03043313 . [Table: see text]

3527 Background: Advances in deep learning may improve the ability to evaluate and quantify pathological features in solid tumors to improve prediction of patient disease-free survival (DFS). We used an artificial intelligence (AI) algorithm to quantify morphological features in the tumor microenvironment of stage III colon cancers. Methods: We analyzed digitized stage III colon carcinomas (N = 402; 382 met QC) from participants in a phase III trial of FOLFOX-based adjuvant chemotherapy that included all available tumors with dMMR and a randomly selected cohort of pMMR tumors (median follow-up 60 months) [NCCTG N0147; Alliance for Clinical Trials in Oncology]. Fifteen morphological features were extracted using the QuantCRC algorithm that segments images into carcinoma (low-grade, high-grade, signet ring cell), stroma (immature, mature, and inflammatory), mucin, tumor/stroma ratio, tumor budding/poorly differentiated clusters (TB/PDC), necrosis, smooth muscle, fat, and tumor-infiltrating lymphocytes (TILs) and tumor area (mucin, epithelium and TB/PDC). Analysis of AI-derived features with clinical variables, molecular alterations ( BRAF/KRAS), and DFS were examined using Kaplan-Meier methodology and multivariable Cox regression. Results: Among the 15 AI-derived morphological features, the following differed significantly between dMMR (n = 191) and pMMR (n = 189) whereby dMMR tumors had lower mature stroma, but higher inflammatory stroma and tumor, higher tumor grade and increased mucin, TB/PDCs, signet ring cells, and TILs (all p< 0.05). Among dMMR tumors, multivariable analysis revealed that tumor area [mucin, epithelium and TB/PDC] (HR adj 0.45, 95%CI (0.24, 0.84), p:0.01, [Q2/3 vs Q1]) and N stage were the only significant and independent prognostic variables. Among pMMR tumors, multivariable analysis identified that tumor budding/poorly differentiated clusters (TB/PDCs) (HR adj 0.20, 95%CI (0.06, 0.61), p:0.01, [Q1 vs Q4]) was the strongest prognostic variable and the only morphological feature that was significantly associated with DFS along with age, N stage and T stage. Conclusions: Using AI, we can extract and quantify distinct morphological features in tumor sections that differ between dMMR and pMMR and multivariately, can significantly and robustly enhance prognostication within each MMR group. Among pMMR tumors, tumor budding/poorly differentiated clusters was the strongest predictor of DFS. Support: NIH U10CA180821, U10CA180882, U24CA196171, R01 CA210509 (to FAS). Study NCCTG N0147 received funds from Sanofi https://acknowledgments.alliancefound.org . ClinicalTrials.gov Identifier: NCT00079274 Key words Artificial Intelligence; Tumor Microenvironment; Colonic Neoplasms; Disease-free survival.

e15131 Background: Elimusertib is a highly selective oral inhibitor of the Ataxia telangiectasia and Rad3 related (ATR) kinase, which is required for efficient end-joining repair of double-stranded breaks, particularly during DNA replication. Many pediatric cancers involve potential ATR susceptibilities such as increased replication stress due to oncogenic fusions, specific DNA damage repair (DDR) deficiencies, oncogenic activation of DNA damage and nucleases such as PGBD5, as well as alternative lengthening of telomeres. We report the initial phase 1 results of PEPN2112 (NCT05071209), an ongoing pediatric phase 1/2 clinical trial of elimusertib monotherapy. Methods: Eligible patients (pts) included children, adolescents, and young adults with relapsed or refractory tumors with: (1) Ewing sarcoma or related EWSR1 fusion positive tumors (EWS), (2) alveolar rhabdomyosarcoma, PAX3-FOXO1 fusion positive (aRMS), or (3) non-CNS primary tumors exhibiting specific DDR pathway defects anticipated to sensitize to ATR inhibition. For pts < 18 years (yrs), a rolling-six design was used to evaluate elimusertib administered BID x3 days/week of a 28-day cycle starting at the adult equivalent recommended phase 2 dose (RP2D) of 24 mg/m2/dose (max 40 mg) with a potential de-escalation to 18 mg/m2/dose (max 30 mg). The pediatric RP2D determination was based upon dose limiting toxicity (DLT) criteria (CTCAEv5) during cycle 1. Pharmacokinetic (PK) studies were performed. Pts > 18 yrs could enroll onto the phase 2 cohorts at the adult RP2D simultaneously with the pediatric phase 1. Once the pediatric RP2D was defined, pts < 18 yrs accrued to the phase 2 cohorts and a PK expansion for pts < 12 yrs was opened. Results: 8 eligible pts were enrolled (4 males) on the phase 1 part of the study. 2 pts were inevaluable for DLT as they received < 75% of protocol therapy. Median (range) age was 13 (10-17) yrs. Diagnoses included: EWS (n = 4) and 1 pt each with aRMS, adrenocortical carcinoma, clear cell sarcoma, and osteosarcoma. At 24 mg/m2/dose, no DLTs were observed. Toxicities were hematologic, with grade 3 toxicities including anemia (n = 3), neutropenia (n = 4), and decreased white blood cells (n = 1). One pt experienced grade 4 lymphopenia. There were no grade 3/4 non-hematologic toxicities. Day 1 mean ± SD values of Tmax, Cmax, AUC0-8h and t1/2 were 1.6 ± 0.5 h, 1532 ± 385 ng/mL, 5863 ± 1841 h*ng/mL and 3.6 ± 0.9 h, respectively. Conclusions: Elimusertib-related toxicities were primarily hematologic. The RP2D for elimusertib monotherapy in pediatric pts is 24 mg/m2/dose (max 40 mg) orally BID x3 days/week continuously, analogous to dosing in adults with similar PK. Phase 2 and PK expansion cohorts as well as pharmacodynamic studies are ongoing. Clinical trial information: NCT05071209 .

e15050 Background: Molecular tumour boards (MTB) facilitate discussions among medical professionals, scientists, bioinformaticians and geneticists for clinical application of precision oncology, via interpretation of various genomic sequencing studies, most commonly Next Generation Sequencing (NGS). NGS test vendor recommendation may differ from the MTB recommendations. We aim to study the discordance rate between these recommendations. Methods: MTB discussions between April 1, 2021 and December 31, 2021, were retrospectively evaluated. MTBs which assessed NGS reports with or without significant genetic mutations but with drug recommendations were included. NGS testing was done with multiple vendors. Patients from all over India, Nepal, Bangladesh, Dubai and Abu Dhabi were discussed. We excluded MTBs which assessed NGS data without any drug recommendations. We compared therapeutic recommendations provided in the NGS report with the first-choice recommendation in the MTB discussion. Recommendation discordance was defined as disagreement between the NGS recommendation and the first MTB recommendation that either instructed its implementation either immediately or on disease progression. Results: 70 MTB data was studied. 49 MTBs assessing NGS reports of 49 unique patients (median age 54 years; range, 32-82) were included in the study. 13 patients had lung cancer, 10 colorectal, 6 breast, 7 hepatopancreatobiliary, 4 carcinoma of unknown primary and 9 others. 17 did not provide any treatment recommendations and hence were excluded. 4 were discussions based on NGS reports previously discussed in an MTB that was already included in the study, hence were excluded. Recommendation discordance rate was 49% (24 of 49). Conclusions: To our knowledge, this is the first study that assessed discordance rate in recommendations between NGS report and MTB from a low- and middle-income country setting. Accurate clinical translation of complex genomic data is at the forefront of personalized cancer care.