Primary Colorectal Cancer Tumors Research Articles

Abstract 1615: Balanced molecular feature selection unveils universally tumor-lineage informative methylation sites in colorectal cancer

Abstract In the era of precision medicine, performing comparative analysis over diverse patient populations is a fundamental step toward tailoring healthcare interventions. However, the critical aspect of equitably selecting molecular features across multiple patients is often overlooked. To address this challenge, we introduce FALAFL (FAir muLti-sAmple Feature seLection), a novel algorithmic approach based on integer linear programming. FALAFL is designed to bridge the gap between molecular feature selection and algorithmic fairness, ensuring a balanced selection of molecular features across different patient samples. We have applied FALAFL to the problem of selecting lineage-informative CpG sites within a cohort of 9 colorectal cancer patients subjected to low-coverage single-cell methylation sequencing. Our results demonstrate that FALAFL excels at rapidly determining the optimal set of CpG sites, which are well covered by cells across the vast majority of the patients, while ensuring that each patient contributes a similar number of sites to the final selection. An analysis of the FALAFL-selected CpG sites reveals that their lineage informativeness exhibits a strong association across diverse patient profiles, suggesting the non-stochasticity and universality of methylation changes in tumor evolution. Furthermore, these universally lineage-informative sites exhibit subclonal level alterations in the colorectal cancer primary tumors and are strongly associated with lineage-specific gene expression patterns. By integrating equity considerations into the molecular feature selection process, FALAFL is poised to propel equitable healthcare data science practices and advance our understanding of cancer and other complex diseases. Citation Format: Xuan Cindy Li, Yuelin Liu, Alejandro A. Schäffer, Stephen M. Mount, Süleyman C. Sahinalp. Balanced molecular feature selection unveils universally tumor-lineage informative methylation sites in colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1615.

Abstract 1995: DUSP4 loss enhances resistance to encorafenib plus cetuximab in BRAF mutant colorectal cancer

Abstract The 5-year survival rate for metastatic colorectal cancer (CRC) is less than 14%. Hyperactivation of the ERK/MAPK pathway occurs at a high frequency in CRC, due to mutations (RAS, BRAF) or overexpression/amplification (EGFR) of its signalling components. Aberrant activation of this pathway drives tumour growth and survival and several inhibitors of this pathway are now clinically utilized. The BRAF V600E activating mutation occurs in ~10% of CRC patients and is correlated with an extremely poor prognosis. Use of the small molecule BRAF inhibitor encorafenib in combination with the EGFR inhibitor cetuximab is now approved for BRAF V600E mutant patients, however, the objective response rate is only ~20% and the treatment is rarely curative. Therefore, there is an urgent need to identify predictive biomarkers of response to encorafenib+cetuximab treatment. Dual-specificity phosphatase 4 (DUSP4) is rapidly induced upon activation of ERK/MAPK signaling upon which it acts as a critical negative regulator of signaling output by directly de-phosphorylating ERK. We have observed that DUSP4 is highly expressed in BRAF-mutant CRC cell lines and primary tumours, although there is a range of expression. Whether DUSP4 expression status impacts on response to encorafenib+cetuximab therapy is unknown. The aim of this study therefore was to determine the role of DUSP4 on sensitivity of BRAF-mutant CRC cells to encorafenib+cetuximab treatment in vitro. To examine this, we determined the impact of DUSP4 knock-down, knock-out and re-expression on sensitivity of BRAF-mutant CRC cancer cell lines to encorafenib+cetuximab treatment. Screening a panel of BRAF mutant CRC cell lines for sensitivity to encorafenib+cetuximab revealed a subset of resistant cell lines had either low or undetectable DUSP4 protein expression, while all sensitive cell lines had high DUSP4 expression. siRNA-mediated knockdown of DUSP4 in DUSP4 expressing BRAF-mutant CRC cell lines increased pERK and pFRA1, suggesting activation of ERK/MAPK signalling. DUSP4 knockdown also reduced sensitivity of BRAF mutant CRC cell lines to encorafenib+cetuximab compared to control. These findings were further validated using DUSP4 knock-out with CRISPR-Cas9. Conversely, DUSP4 re-expression in BRAF-mutant CRC cell lines lacking DUSP4 expression, decreased pERK and increased sensitivity to encorafenib+cetuximab treatment. These results demonstrate that DUSP4 regulates ERK/MAPK signalling in BRAF mutant CRC cell lines and that loss of DUSP4 promotes resistance to encorafenib plus cetuximab treatment. These findings warrant investigation of DUSP4 expression status as a predictive biomarker of encorafenib+cetuximab response in patient samples. Citation Format: Kristen Needham, Fiona Chionh, Stan Kaczmarczyk, Connor Kearney, Laura Jenkins, Ian Luk, John M. Mariadason. DUSP4 loss enhances resistance to encorafenib plus cetuximab in BRAF mutant colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1995.

Abstract 5059: Robust single sample consensus molecular subtype classification for primary and metastatic colorectal cancer

Abstract Introduction Consensus Molecular Subtypes (CMS) represent a well-established molecular stratification framework for colorectal cancer (CRC). Existing methods for CMS classification rely on a representative input cohort as a preprocessing step (CMScaller) or have difficulty generalizing to metastatic samples (CMSclassifier). We developed Tempus CMS to overcome these limitations. Our method normalizes gene expression data from input samples to a static reference cohort to enable single sample classification of both primary and metastatic tumors. We evaluated the performance of this classifier on a large, de-identified CRC cohort comprising 8,489 samples from primary and metastatic sites. Methods To normalize input data, our method shifts and scales each gene expression value based on the mean and standard deviation of the expression of that gene in the reference cohort (n=2,787 primary and metastatic CRC). CMS calls are then generated via nearest template prediction similar to CMScaller (Eide et al., 2017). The analysis cohort was selected from clinical biopsies within 30 days of primary or metastatic diagnosis excluding reference cohort samples. CMS calls were assessed by comparing subtype prevalence to reported rates and by testing for known enrichments of pathways and genomic markers. Results Subtype prevalences for lower gastrointestinal (GI) biopsies and resections (n=5,090) were comparable to reported rates for primary CRC tumors: CMS1 - 12%, CMS2 - 28%, CMS3 - 19%, and CMS4 - 33% with 7.6% no calls. Biopsies from metastatic tissue showed site-specific changes in prevalence: CMS2 increased to 43% in liver samples (n=1,715) and CMS4 was identified in 49% of samples from metastatic sites excluding the liver (n=1,684). In addition, we found that purity had an effect on prevalence: in lower GI tumors with ≥ 50% tumor purity rates of CMS2 and CMS4 were 34% and 26%, respectively, while rates in tumors with purity between 20% and 50% were 20% CMS2 and 41% CMS4. Across all tissue groups, pathway enrichment showed significant associations, including TGF-ꞵ signaling in CMS4 (adj P ≤ 4.4e-15) and cell differentiation in CMS3 (adj P ≤ 3.0e-27). Expected enrichments of CMS markers were also observed: BRAF mutations and microsatellite instability in CMS1 and KRAS mutations in CMS3. In liver tissue, higher KRAS mutation rates were noted in CMS1 (57%) and CMS3 (83%) compared to GI tissue (35% and 67%, respectively). Conclusions In this study, we developed an enhanced, single sample CMS-calling algorithm optimized for primary and metastatic sites. Application of this algorithm in a large cohort recapitulated known biology, which suggests that the tool can be used to support clinical studies requiring robust molecular stratification. Citation Format: Andrew J. Sedgewick, Tushar Chandra, Timothy Taxter, Justin Guinney. Robust single sample consensus molecular subtype classification for primary and metastatic colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5059.

Distinct molecular profiles drive multifaceted characteristics of colorectal cancer metastatic seeds.

Metastasis of primary tumors remains a challenge for early diagnosis and prevention. The cellular properties and molecular drivers of metastatically competent clones within primary tumors remain unclear. Here, we generated 10-16 single cell-derived lines from each of three colorectal cancer (CRC) tumors to identify and characterize metastatic seeds. We found that intrinsic factors conferred clones with distinct metastatic potential and cellular communication capabilities, determining organ-specific metastasis. Poorly differentiated or highly metastatic clones, rather than drug-resistant clones, exhibited poor clinical prognostic impact. Personalized genetic alterations, instead of mutation burden, determined the occurrence of metastatic potential during clonal evolution. Additionally, we developed a gene signature for capturing metastatic potential of primary CRC tumors and demonstrated a strategy for identifying metastatic drivers using isogenic clones with distinct metastatic potential in primary tumors. This study provides insight into the origin and mechanisms of metastasis and will help develop potential anti-metastatic therapeutic targets for CRC patients.

Immune cell infiltrates in peritoneal metastases from colorectal cancer.

The presence of peritoneal metastases (PMs) in patients with colorectal cancer (CRC) confers a poor prognosis and only a minority of patients will benefit from the available treatment options. In primary CRC tumors, it is well established that a high infiltration of CD8+ effector T cells correlates to a favorable patient outcome. In contrast, the immune response induced in PMs from CRC and how it relates to patient survival is still unknown. In this study, we characterized the immune infiltrates and the distribution of immune checkpoint receptors on T cells from PMs from CRC, in order to evaluate the potential benefit of checkpoint blockade immunotherapy for this patient group. Surgically resected PM tissue from CRC patients (n=22) and synchronous primary tumors (n=8) were processed fresh to single cell suspensions using enzymatic digestion. Surface markers and cytokine production were analyzed using flow cytometry. T cells dominated the leukocyte infiltrate in the PM specimens analyzed, followed by monocytes and B cells. Comparing two different PMs from the same patient usually showed a similar distribution of immune cells in both samples. The T cell infiltrate was characterized by an activated phenotype and markers of exhaustion were enriched compared with matched circulating T cells, in particular the checkpoint receptors PD-1 and TIGIT. In functional assays most cytotoxic and helper T cells produced INF-γ and TNF following polyclonal stimulation, while few produced IL-17, indicating a dominance of Th1-type responses in the microenvironment of PMs. Immune cells were present in all PMs from CRC examined. Although infiltrating T cells express markers of exhaustion, they produce Th1-type cytokines when stimulated. These results indicate the possibility to augment tumor-specific immune responses within PMs using checkpoint blockade inhibitors.

Investigating the Cell Origin and Liver Metastasis Factors of Colorectal Cancer by Single-Cell Transcriptome Analysis.

Colorectal cancer (CRC) is one of the deadliest causes of death by cancer worldwide. Liver metastasis (LM) is the main cause of death in patients with CRC. Therefore, identification of patients with the greatest risk of liver metastasis is critical for early treatment and reduces the mortality of patients with colorectal cancer liver metastases. Initially, we characterized cell composition through single-cell transcriptome analysis. Subsequently, we employed copy number variation (CNV) and pseudotime analysis to delineate the cellular origins of LM and identify LM-related epithelial cells (LMECs). The LM-index was constructed using machine learning algorithms to forecast the relative abundance of LMECs, reflecting the risk of LM. Furthermore, we analyzed drug sensitivity and drug targeted gene expression in LMECs and patients with a high risk of LM. Finally, functional experiments were conducted to determine the biological roles of metastasis-related gene in vitro. Single-cell RNA sequencing analysis revealed different immune landscapes between primary CRC and LM tumor. LM originated from chromosomal variants with copy number loss of chr1 and chr6p and copy number gain of chr7 and chr20q. We identified the LMECs cluster and found LM-associated pathways such as Wnt/beta-catenin signaling and KRAS signaling. Subsequently, we identified ten metastasis-associated genes, including SOX4, and established the LM-index, which correlates with poorer prognosis, higher stage, and advanced age. Furthermore, we screened two drugs as potential candidates for treating LM, including Linsitinib_1510, Lapatinib_1558. Immunohistochemistry results demonstrated significantly elevated SOX4 expression in tumor samples compared to normal samples. Finally, in vitro experiments verified that silencing SOX4 significantly inhibited tumor cell migration and invasion. This study reveals the possible cellular origin and driving factors of LM in CRC at the single cell level, and provides a reference for early detection of CRC patients with a high risk of LM.

Stromal localization of inactive CD8+ T cells in metastatic mismatch repair deficient colorectal cancer.

The determinants of metastasis in mismatch repair deficiency with high levels of microsatellite instability (MSI-H) in colorectal cancer (CRC) are poorly understood. Here, we hypothesized that distinct immune and stromal microenvironments in primary tumors may discriminate between non-metastatic MSI-H CRC and metastatic MSI-H CRC. We profiled 46,727 single cells using high-plex imaging mass cytometry and analyzed both differential cell type abundance, and spatial distribution of fibroblasts and immune cells in primary CRC tumors with or without metastatic capacity. We validated our findings in a second independent cohort using immunohistochemistry. High-plex imaging mass cytometry and hierarchical clustering based on microenvironmental markers separated primary MSI-H CRC tumors with and without metastatic capacity. Primary tumors with metastatic capacity displayed a high stromal content and low influx of CD8+ T cells, which expressed significantly lower levels of markers reflecting proliferation (Ki67) and antigen-experience (CD45RO) compared to CD8+ T cells in non-metastatic tumors. CD8+ T cells showed intra-epithelial localization in non-metastatic tumors, but stromal localization in metastatic tumors, which was validated in a second cohort. We conclude that localization of phenotypically distinct CD8+ T cells within stroma may predict metastasis formation in MSI-H CRC.

Abstract C001: Retrospective analysis of TROP2 expression in colorectal cancer (CRC) primary tumors and liver metastases (LM) and its correlation with clinical factors

Abstract Background: Trophoblast cell surface antigen 2 (TROP2) is a transmembrane glycoprotein which is upregulated in CRC, is associated with tumorigenesis, and may serve as a drug target. We aimed to measure TROP2 expression by immunohistochemistry in CRC LM and primary tumors, and to determine how TROP2 expression correlates with prognosis and baseline clinical factors. Methods: TROP2 immunohistochemistry was retrospectively performed by a pathologist (ab214488; Abcam, Cambridge, UK) in paraffin-embedded CRC LM and primary tumor specimens (biopsy or resection, stored at the University of Colorado Surgical Pathology Archive) from adult patients between January 2006 and June 2022. Baseline clinical and survival data was collected. Differences in TROP2 frequency (range: 0-4), intensity (range: 0-3), and frequency x intensity combined scores (range: 0-12) for paired CRC primary and LM specimens were analyzed using a paired t-test. Additional statistical analyses included nonparametric Spearman’s correlation test (correlation of scores between LM and primary tumor), Mann Whitney U test (effect of prior systemic cancer treatment on TROP2 expression), Kaplan-Meier method (survival rates based on TROP2 expression), and log-rank test (differences in survival). Results: TROP2 was expressed in 100% (60/60) of CRC primary and 93% (52/56) of LM specimens, including 50 CRC primary-LM pairs and additional unpaired specimens (10 primary and 6 LM). Among all specimens, primary and LM specimens both had a median intensity score of 2, whereas CRC specimens had a slightly higher frequency score than LM specimens (2 vs. 1, respectively). In paired samples, the TROP2 frequency, intensity, and combined score distribution varied slightly between primary and LM specimens. The median intensity was higher in primary vs LM specimens (3 vs 2, respectively), mean difference was 0.26 (p=0.08), and correlation was weak (Spearman r=0.29, p=0.04). Similarly, the median frequency was higher in primary vs LM specimens (2 vs 1, respectively), mean difference was 0.20 (p=0.21), with moderate correlation (Spearman r=0.55, p<0.0001). The median combined score was higher in primary vs LM specimens (4 vs 3, respectively), mean difference was 0.98 (p=0.04), with moderate correlation (Spearman r=0.51, p=0.0001). Prior systemic cancer therapy did not significantly affect TROP2 intensity, frequency, or combined score in primary or LM specimens (data to be presented). Overall survival was not significantly different between low (<5) or high (≥5) TROP2 combined score (stratified by the median value) for primary (log-rank p=0.67) or LM specimens (log-rank p=0.66). Similarly, there was no difference in overall survival stratified by TROP2 frequency or intensity in CRC primary or LM (data to be presented). Conclusions: TROP2 expression was observed in both primary CRC and LM specimens, and the frequency x intensity combined score was significantly higher in primary CRC specimens compared to paired LM. Higher TROP2 expression in either primary tumors or LM did not correlate with overall survival. Citation Format: Robert W Lentz, Miriam Barnett, Michele Gerber, Jeffrey Kaplan, Adrie van Bokhoven, Kathleen C Torkko. Retrospective analysis of TROP2 expression in colorectal cancer (CRC) primary tumors and liver metastases (LM) and its correlation with clinical factors [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr C001.

HER-3 surface expression increases in advanced colorectal cancer representing a potential therapeutic target

HER-3 (also known as ErbB-3) is a human epidermal growth factor receptor tyrosine kinases family member, and its expression in CRC (colorectal cancer) tissues was previously associated with poor prognosis. In this study, HER-3 expression was analyzed by immunohistochemistry in two cohorts of early and advanced metastatic CRC patients. The first cohort included 180 patients diagnosed with CRC in absence of lymph nodes or distant metastases (Stage I and Stage II), while the second was obtained from 53 advanced metastatic CRC patients who developed synchronous (SM) and metachronous (MM) liver metastases. In the first early-stage CRC cohort, 86 out of 180 (47.8%) tumors showed membranous expression of HER-3, with a mean percentage of positive tumor cells of 25.7%; conversely, in advanced metastatic CRC primary tumors, HER-3 was detected in all specimens, with a mean percentage of positive tumor cells of 76.1%. Kaplan–Meier curves showed that in the advanced metastatic CRC group, patients with HER-3high tumors had a significantly lower Cancer-Specific Survival (CSS) rate compared to patients with HER-3low tumors (p = 0.021). Importantly, this worse CSS rate was observed only in the MM subgroup of patients with HER-3high tumors (p = 0.002). Multivariate analysis confirmed that high HER-3 expression represents a significant and strong risk factor for death in patients developing MM liver metastases (Hazard Ratio = 64.9; 95% Confidence Interval, 4.7–886.6; p = 0.002). In addition, using a specific anti-HER-3 antibody-drug conjugate, named EV20/MMAF, we showed that HER-3 + CRC cells can be efficiently targeted in vitro and in vivo. Overall, this study confirms that surface HER-3 is highly expressed in CRC and reveals that HER-3 expression increases in metastatic CRC patients compared to early stage. Importantly, the results suggest that HER-3 has a prognostic and therapeutic value in patients developing MM liver metastases.

Predictive Genetic Biomarkers for the Development of Peritoneal Metastases in Colorectal Cancer.

Metastatic colorectal cancer (CRC) is a common cause of cancer-related mortality, of which peritoneal metastases (PMs) have the worse outcome. Metastasis-specific markers may help predict the spread of tumor cells and select patients for preventive strategies. This exploratory pilot study aimed to gain more insight into genetic alterations in primary CRC tumors, which might be a predictive factor for the development of PM. Forty patients with T3 stage CRC were retrospectively divided in three groups: without metachronous metastases during 5-year follow-up (M0, n = 20), with metachronous liver metastases (LM, n = 10) and with metachronous PM (PM, n = 10). Patients with synchronous metastases were excluded. Primary formalin-fixed paraffin-embedded tumor samples were analyzed via comprehensive genome sequencing (TSO500 analysis) to identify DNA alterations and RNA fusion transcripts in 523 genes and 55 genes, respectively. Thirty-eight samples were included for final analysis. Four M0 tumors and one PM tumor were microsatellite instable. BRAF mutations were uniquely identified in three microsatellite-stable (MSS) PM tumors (37.5%, p = 0.010). RNA analysis showed an additional FAM198A-RAF1 fusion in one PM sample. BRAF p.V600E mutations were only present in PM patients with MSS tumors. Greater attention should be paid to BRAF-mutated tumors in relation to the development of metachronous PM.

Progress of research on molecular targeted therapies for colorectal cancer.

Colorectal cancer (CRC) is one of the most common malignancies, accounting for approximately 10% of global cancer incidence and mortality. Approximately 20% of patients with CRC present metastatic disease (mCRC) at the time of diagnosis. Moreover, up to 50% of patients with localized disease eventually metastasize. mCRC encompasses a complex cascade of reactions involving multiple factors and processes, leading to a diverse array of molecular mechanisms. Improved comprehension of the pathways underlying cancer cell development and proliferation, coupled with the accessibility of relevant targeted agents, has propelled advancements in CRC treatment, ultimately leading to enhanced survival rates. Mutations in various pathways and location of the primary tumor in CRC influences the efficacy of targeted agents. This review summarizes available targeted agents for different CRC pathways, with a focus on recent advances in anti-angiogenic and anti-epidermal growth factor receptor agents, BRAF mutations, and human epidermal growth factor receptor 2-associated targeted agents.

Single-cell and spatial transcriptome analysis reveals the cellular heterogeneity of liver metastatic colorectal cancer.

In this study, we comprehensively charted the cellular landscape of colorectal cancer (CRC) and well-matched liver metastatic CRC using single-cell and spatial transcriptome RNA sequencing. We generated 41,892 CD45- nonimmune cells and 196,473 CD45+ immune cells from 27 samples of six CRC patients, and found that CD8_CXCL13 and CD4_CXCL13 subsets increased significantly in liver metastatic samples that exhibited high proliferation ability and tumor-activating characterization, contributing to better prognosis of patients. Distinct fibroblast profiles were observed in primary and liver metastatic tumors. F3+ fibroblasts enriched in primary tumors contributed to worse overall survival by expressing protumor factors. However, MCAM+ fibroblasts enriched in liver metastatic tumors might promote generation of CD8_CXCL13 cells through Notch signaling. In summary, we extensively analyzed the transcriptional differences of cell atlas between primary and liver metastatic tumors of CRC by single-cell and spatial transcriptome RNA sequencing, providing different dimensions of the development of liver metastasis in CRC.

A Multi-Omics Overview of Colorectal Cancer to Address Mechanisms of Disease, Metastasis, Patient Disparities and Outcomes.

Human colorectal cancer (CRC) is one of the most common malignancies in men and women across the globe, albeit CRC incidence and mortality shows a substantial racial and ethnic disparity, with the highest burden in African American patients. Even with effective screening tools such as colonoscopy and diagnostic detection assays, CRC remains a substantial health burden. In addition, primary tumors located in the proximal (right) or distal (left) sides of the colorectum have been shown to be unique tumor types that require unique treatment schema. Distal metastases in the liver and other organ systems are the major causes of mortality in CRC patients. Characterizing genomic, epigenomic, transcriptomic and proteomic (multi-omics) alterations has led to a better understanding of primary tumor biology, resulting in targeted therapeutic advancements. In this regard, molecular-based CRC subgroups have been developed that show correlations with patient outcomes. Molecular characterization of CRC metastases has highlighted similarities and differences between metastases and primary tumors; however, our understanding as to how to improve patient outcomes based on metastasis biology is lagging and remains a major obstacle to improving CRC patient outcomes. In this review, we will summarize the multi-omics features of primary CRC tumors and their metastases across racial and ethnic groups, the differences in proximal and distal tumor biology, molecular-based CRC subgroups, treatment strategies and challenges for improving patient outcomes.

Histology of metastatic colorectal cancer in a lymph node.

A primary colorectal cancer (CRC) tumor can contain heterogeneous cancer cells. As clones of cells with different properties metastasize to lymph nodes (LNs), they could show different morphologies. Cancer histologies in LNs of CRC remains to be described. Our study enrolled 318 consecutive patients with CRC who underwent primary tumor resection with lymph node dissection between January 2011 and June 2016. 119 (37.4%) patients who had metastatic LNs (mLNs) were finally included in this study. Cancer histologies in LNs were classified and compared with pathologically diagnosed differentiation in the primary lesion. The association between histologies in lymph node metastasis (LNM) and prognosis in patients with CRC was investigated. The histologies of the cancer cells in the mLNs were classified into four types: tubular, cribriform, poorly differentiated, and mucinous. Same degree of pathologically diagnosed differentiation in the primary tumor produced various histological types in LNM. In Kaplan-Meier analysis, prognosis was worse in CRC patients with moderately differentiated adenocarcinoma who had at least some mLN also showing cribriform carcinoma than for those whose mLNs all showed tubular carcinoma. Histology in LNM from CRC might indicate the heterogeneity and malignant phenotype of the disease.

The HORIZON III retrospective exploratory analysis: HER2 expression amplification in colorectal cancer.

194 Background: Although regularly used in breast and gastric cancer, HER2 testing is not routinely performed in colorectal cancer (CRC). Immunohistochemistry (IHC) and in situ hybridization (ISH) scoring have not been optimized for assessment of HER2 overexpression and amplification in CRC. Varying rates of HER2 overexpression (2%-11%) have been reported in previously untreated CRC (Wang World J Gastrointest Oncol 2019) and patients with advanced/metastatic CRC with HER2 amplification or overexpression respond poorly to current standard of care therapies (Sartore-Bianchi Oncologist 2019). We characterized HER2 prevalence in a retrospective cohort analysis of clinical trial patients. Methods: The HORIZON III trial (NCT00384176) evaluated FOLFOX + bevacizumab or cediranib (AZD2171) as first-line (1L) treatment in patients with metastatic CRC (Schmoll J Clin Oncol 2012). The primary objective of this analysis of a subset of HORIZON III samples was to characterize HER2 prevalence in 1L metastatic CRC. Secondary and exploratory objectives included correlating HER2 status to other molecular findings (eg, RAS/RAF mutations), clinicopathologic characteristics, and patient outcomes. IHC was performed using a monoclonal anti-HER2 antibody PATHWAY HER2 [4B5] Ventana on primary CRC tumor sections and scored according to ASCO/CAP guidelines for gastric cancer (Bartley Arch Pathol Lab Med 2016). H&E staining was performed to determine the adequacy of tumor samples (ie, > 100 viable tumor cells per specimen). All tumors with an IHC score of 2+ were analyzed for amplification by ISH (HER2 IQFISH pharmDx dual probe kit, Agilent Technologies K573111-5). Targeted mutation panel testing was used to determine other molecular alterations. Descriptive statistics were used to summarize baseline and clinical outcome data by HER2 status. The current analysis was approved by the AstraZeneca bioethics review board. Results: Of the 1614 patients in HORIZON III, 396 met the inclusion criteria of appropriate consent, sufficient tumor sample for analysis, and a unique identifier. HER2-positive tumors (IHC3+ or IHC2+/ISH+) were identified in 2.1% of samples; 1.3% were IHC3+ and 0.8% were IHC2+/ISH+. Compared with IHC3+, IHC2+ tumors were more heterogeneous with mixed components of cells weakly expressing HER2 and lacking HER2 expression. Conclusions: This exploratory analysis of the HORIZON III study provides insights into HER2 prevalence in 1L, unselected, advanced/metastatic CRC, finding that 2.1% of tumors were HER2 positive. The demographic characteristics of patients with analyzable samples were representative of the entire HORIZON III study population; however, further assessment of KRAS status and other clinicopathological characteristics is needed. These data may inform future clinical development and support selection of patients with CRC who are likely to benefit from HER2 targeting therapies. Clinical trial information: NCT00384176 .

CD8+ CD226high T cells in liver metastases dictate the prognosis of colorectal cancer patients treated with chemotherapy and radical surgery

CD226 has been reported to participate in the rescue of CD8+ T cell dysfunction. In this study, we aimed to assess the prognostic value of CD226 in tumor-infiltrating lymphocytes (TILs) derived from colorectal cancer (CRC) liver metastases treated with chemotherapy and radical surgery. TILs from 43 metastases were isolated and analyzed ex vivo using flow cytometry. CD155 and CD3 levels in the tumor microenvironment were assessed by immunohistochemistry. Exploration and validation of biological processes highlighted in this study were performed by bioinformatics analysis of bulk RNA-seq results for 28 CRC liver metastases pretreated with chemotherapy as well as public gene expression datasets. CD226 expression contributes to the definition of the immune context in CRC liver metastases and primary tumors. CD226 on CD8+ T cells was not specifically coexpressed with other immune checkpoints, such as PD1, TIGIT, and TIM3, in liver metastases. Multivariate Cox regression analysis revealed CD226 expression on CD8+ T cells to be an independent prognostic factor (p = 0.003), along with CD3 density at invasion margins (p = 0.003) and TIGIT expression on CD4+ T cells (p = 0.019). CD155 was not associated with the prognostic value of CD226. Gene expression analysis in a validation dataset confirmed the prognostic value of CD226 in CRC liver metastases but not in primary tumors. Downregulation of CD226 on CD8+ TILs in the liver microenvironment was restored by IL15 treatment. Overall, CD226 expression on liver metastasis-infiltrating CD8+ T cells selectively contributes to immune surveillance of CRC liver metastases and has prognostic value for patients undergoing radical surgery.

Mutated genes on ctDNA detecting postoperative recurrence presented reduced neoantigens in primary tumors in colorectal cancer cases

The detection and sequencing of the mutated ctDNA is one of the irreplaceable clinical measures in the postoperative management of colorectal cancer (CRC) cases. However, we are curious to comprehend the essential traits of mutated genes comprising metastatic sites out of whole mutated genes in primary sites. In the current retrospective study, we conducted target resequencing of ctDNA using 47 plasma samples and established a cancer panel carrying the commonly mutated genes between primary and recurrent tumors. We found that mutated genes in ctDNA indicated immune-resistance traits with respect to the impaired ability to present neoantigens by loss of expression or binding affinity to HLA in the primary tumor. Compared with the estimated neoantigens from all mutated genes in primary tumors, the neoantigen peptides from commonly mutated genes on the panel showed abundant expression but no binding affinity to HLA. Therefore, ctDNA mutations can be frequently and postoperatively detected to identify recurrence; however, these mutated genes were derived from immune-tolerated clones owing to the loss of neoantigen presentation in primary CRC tumors.

Abstract PR014: Cytokine mediated epigenetic reprogramming of CRC primary tumors drives liver metastasis

Abstract An emerging hypothesis is that metastatic potential is determined largely by the combination of genetic alterations that initiate the primary tumor and subsequent transcriptional reprogramming through epigenetic mechanisms. Here we leverage integrative, multi-omic profiling of primary and metastatic colorectal cancer tumors in combination with functional screens and disease models to understand drivers of liver metastasis. Through performing bulk and single cell RNA-sequencing, whole exome sequencing, and H3K27Ac ChIP-seq of primary tumors and metastatic lesions in the liver, we identified dramatic enhancer remodeling in metastatic disease. In specific, we identified a region on chromosome 20 upstream of the signaling protein SIRPA containing 7 differentially active enhancers in metastatic disease. Not only do the enhancers show an in silico enrichment for TCF7 binding sites but we showed them in vitro to be reliant upon TCF7 through the use of a reporter system. To confirm the regulatory potential of TCF7 on SIRPA we performed CRISPRa mediated overexpression of TCF7. This resulted in significant increase in SIRPA levels. We then showed each gene to be functional drivers of metastasis and migration with in vitro and in vivo models. Through CRISPR mediated KO and CRISPRa mediated overexpression, we showed both genes to be necessary and sufficient for migration in a wound healing assay and invasion in a transwell assay. When the lines were transplanted orthotopically to the cecum, we saw a reduction in metastatic burden in the liver with the loss of either gene. To identify liver microenvironmental factors that lead to the upregulation of TCF7 and subsequent activity of SIRPA we assayed conditioned media derived from immortalized hepatocytes. Through the use of a cytokine array, we have shown the hepatocyte produced CCL2 is able to induce TCF7 and subsequently SIRPA in a panel of CRC cell lines and organoids. Importantly we showed the continued production of CCL2 is important for the survival of the cancer cell in the liver microenvironment through both genetic and drug intervention experiments. Together this data indicates an important signaling node in colorectal cancer metastasis to the liver. Here we propose a model in which secreted liver factors, such as CCL2, reprogram genes within the tumor cell to promote growth and survival of the liver. These genes, SIRPA, and TCF7, represent potential therapeutic targets. Targeting these proteins may kill existing metastatic lesions as well as block new metastases from forming which will be important in improving the outcomes of patients with oligometastatic and premetastatic disease. Citation Format: Jonathan Rennhack, Arika Dwivedi, Nathan Wu, Brian Shim, Alba Font-Tello, Nikolas Kesten, Andrew Aguirre, Henry Long, Kimmie Ng, William C. Hahn. Cytokine mediated epigenetic reprogramming of CRC primary tumors drives liver metastasis [abstract]. In: Proceedings of the AACR Special Conference: Cancer Metastasis; 2022 Nov 14-17; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_2):Abstract nr PR014.

Differences in Colorectal Cancer Survival Based on Primary Tumor Location: Retrospective Study from a Single Institution.

Objective: The location of the primary tumor in colorectal cancer (CRC) could be a prognostic factor related to survival. However, its usefulness has not been sufficiently analyzed. The results in patients with tumors in initial stages are very limited, and there are descriptive parameters of survival that have not been analyzed in detail. In this study, the relationship between primary tumor location and survival in CRC patients was analyzed. Materials And Methods: This was a retrospective observational study. All patients treated consecutively for CRC between January 2005 and December 2019 in the same hospital center were included. Overall survival (OS), cancer-related survival (CRS), time to recurrence (TTR), relapse-free survival (RFS) and postrecurrence survival (PRS) were analyzed, and the results were classified by tumor stage. The results were compared among patients with right colon (RS), left colon (LS) and rectal tumors. Results: In the entire cohort, patients with RS tumors had lower OS and lower CRS at 60 months after diagnosis than did patients with LS or rectal tumors. In the regression analysis, the localization of the primary tumor was an independent prognostic indicator for OS and CRS. Analysis by tumor stage showed that patients with RS stage III tumors had lower OS and lower CRS at 60 months than did patients with LS and rectal tumors (42%, 59% and 53%, respectively, p = 0.006; and 48%, 63% and 57%, respectively, p = 0.025). Additionally, patients with RS Stage IV tumors had lower OS and lower CRS at 36 months than did patients with LS and rectal tumors (9%, 24%, 24%, respectively, p < 0.001; and 10%, 24% and 24%, respectively, p < 0.001). No differences were found in TTR and RFS among patients with stage I and II RS, LS, and rectal tumors. In contrast, patients with stage RS III tumors had significantly poorer PRS (9% for RS tumors, 13% for LS tumors, and 22% for rectal tumors) (p < 0.001). Conclusion: The location of the primary tumor in patients with CRC is related to survival. The effect of laterality is more marked in patients with stage III and IV tumors. Patients with RS tumors had lower OS and CRS due to the lower survival of patients with stage IV RS tumors and lower PRS for patients with stage III tumors.

Integrated proteomic and phosphoproteomic data-independent acquisition data evaluate the personalized drug responses of primary and metastatic tumors in colorectal cancer.

Mass spectrometry (MS)-based proteomics and phosphoproteomics are powerful methods to study the biological mechanisms, diagnostic biomarkers, prognostic analysis, and drug therapy of tumors. Data-independent acquisition (DIA) mode is considered to perform better than data-dependent acquisition (DDA) mode in terms of quantitative reproducibility, specificity, accuracy, and identification of low-abundance proteins. Mini patient derived xenograft (MiniPDX) model is an effective model to assess the response to antineoplastic drugs in vivo and is helpful for the precise treatment of cancer patients. Kinases are favorable spots for tumor-targeted drugs, and their functional completion relies on signaling pathways through phosphorylating downstream substrates. Kinase-phosphorylation networks or edge interactions are considered more credible and permanent for characterizing complex diseases. Here, we provide a workflow for personalized drug response assessment in primary and metastatic colorectal cancer (CRC) tumors using DIA proteomic data, DIA phosphoproteomic data, and MiniPDX models. Three kinase inhibitors, afatinib, gefitinib, and regorafenib, are tested pharmacologically. The process mainly includes the following steps: clinical tissue collection, sample preparation, hybrid spectral libraries establishment, MS data acquisition, kinase-substrate network construction, in vivo drug test, and elastic regression modeling. Our protocol gives a more direct data basis for individual drug responses, and will improve the selection of treatment strategies for patients without the druggable mutation.