Sex and adverse events of adjuvant chemotherapy in colon cancer: an analysis of 34,640 patients in the ACCENT database

BACKGROUND: Adjuvant chemotherapy is a standard treatment option for patients with stage III and high-risk stage II colon cancer. Sex is one of several factors responsible for the wide inter-patient variability in drug responses. Amalgamated data on the effect of sex on the toxicity of current standard adjuvant treatment for colorectal cancer are missing. METHODS: The objective of our study was to compare incidence and severity of major toxicities of fluoropyrimidine- (5FU or capecitabine) based adjuvant chemotherapy, with or without oxaliplatin, between male and female patients after curative surgery for colon cancer. Adult patients enrolled in 27 relevant randomized trials included in the ACCENT (Adjuvant Colon Cancer End Points) database, a large, multi-group, international data repository containing individual patient data, were included. Comparisons were conducted using logistic regression models (stratified by study and treatment arm) within each type of adjuvant chemotherapy (5FU, FOLFOX, capecitabine, CAPOX, and FOLFIRI). The following major toxicities were compared (grade III or IV and grade I-IV, according to National Cancer Institute Common Terminology Criteria [NCI-CTC] criteria, regardless of attribution): nausea, vomiting, nausea or vomiting, stomatitis, diarrhea, leukopenia, neutropenia, thrombocytopenia, anemia, and neuropathy (in patients treated with oxaliplatin). RESULTS: Data from 34 640 patients were analyzed. Statistically significant and clinically relevant differences in the occurrence of grade III or IV nonhematological {especially nausea (5FU: odds ratio [OR] = 2.33, 95% confidence interval [CI] = 1.90 to 2.87, P < .001; FOLFOX: OR = 2.34, 95% CI = 1.76 to 3.11, P < .001), vomiting (5FU: OR = 2.38, 95% CI = 1.86 to 3.04, P < .001; FOLFOX: OR = 2.00, 95% CI = 1.50 to 2.66, P < .001; CAPOX: OR = 2.32, 95% CI = 1.55 to 3.46, P < .001), and diarrhea (5FU: OR = 1.35, 95% CI = 1.21 to 1.51, P < .001; FOLFOX: OR = 1.60, 95% CI = 1.35 to 1.90, P < .001; FOLFIRI: OR = 1.57, 95% CI = 1.25 to 1.97, P < .001)} as well as hematological toxicities (neutropenia [5FU: OR = 1.55, 95% CI = 1.37 to 1.76, P < .001; FOLFOX: OR = 1.96, 95% CI = 1.71 to 2.25, P < .001; FOLFIRI: OR = 2.01, 95% CI = 1.66 to 2.43, P < .001; capecitabine: OR = 4.07, 95% CI = 1.84 to 8.99, P < .001] and leukopenia [5FU: OR = 1.74, 95% CI = 1.40 to 2.17, P < .001; FOLFIRI: OR = 1.75, 95% CI = 1.28 to 2.40, P < .001]) were observed, with women being consistently at increased risk. CONCLUSIONS: Our analysis confirms that women with colon cancer receiving adjuvant fluoropyrimidine-based chemotherapy are at increased risk of toxicity. Given the known sex differences in fluoropyrimidine pharmacokinetics, sex-specific dosing of fluoropyrimidines warrants further investigation

Optimized EGFR blockade strategies in <i>EGFR</i> addicted gastroesophageal adenocarcinomas

Purpose: Gastric and gastroesophageal adenocarcinomas represent the third leading cause of cancer mortality worldwide. Despite significant therapeutic improvement, the outcome of patients with advanced gastroesophageal adenocarcinoma is poor. Randomized clinical trials failed to show a significant survival benefit in molecularly unselected patients with advanced gastroesophageal adenocarcinoma treated with anti-EGFR agents.Experimental Design: We performed analyses on four cohorts: IRCC (570 patients), Foundation Medicine, Inc. (9,397 patients), COG (214 patients), and the Fondazione IRCCS Istituto Nazionale dei Tumori (206 patients). Preclinical trials were conducted in patient-derived xenografts (PDX).Results: The analysis of different gastroesophageal adenocarcinoma patient cohorts suggests that EGFR amplification drives aggressive behavior and poor prognosis. We also observed that EGFR inhibitors are active in patients with EGFR copy-number gain and that coamplification of other receptor tyrosine kinases or KRAS is associated with worse response. Preclinical trials performed on EGFR-amplified gastroesophageal adenocarcinoma PDX models revealed that the combination of an EGFR mAb and an EGFR tyrosine kinase inhibitor (TKI) was more effective than each monotherapy and resulted in a deeper and durable response. In a highly EGFR-amplified nonresponding PDX, where resistance to EGFR drugs was due to inactivation of the TSC2 tumor suppressor, cotreatment with the mTOR inhibitor everolimus restored sensitivity to EGFR inhibition.Conclusions: This study underscores EGFR as a potential therapeutic target in gastric cancer and identifies the combination of an EGFR TKI and a mAb as an effective therapeutic approach. Finally, it recognizes mTOR pathway activation as a novel mechanism of primary resistance that can be overcome by the combination of EGFR and mTOR inhibitors

New omics information for clinical trial utility in the primary setting

Cancer is a complex cellular disease caused by multiple factors via genetic mutations (hereditary or somatic) or environmental factors. The emerging omics technologies, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and interactomics, are increasingly being used for cancer research and personalized medicine; they have provided new opportunities in the molecular analysis of human cancer with unprecedented speed and detail. The omic approach has brought powerful ability to screen cancer cells at different levels from gene to metabolite and to search for novel drug targets, expounding the drug mechanism of action, identifying adverse effects in unexpected interaction, validating current drug targets, exploring potential applications for novel drugs, and enabling the translation from bench to bedside. As a clinical research tool, the neoadjuvant approach in breast cancer is the perfect setting for individualization of treatment based on clinical, pathological, image-guided, or molecular assessment, based on the omics techniques of tumors during treatment; neoadjuvant treatment offers the ability to discern treatment effect in vivo and may allow smaller trials targeting specific breast cancer subtype

CT texture analysis to predict response to target therapy of hepatic metastases from colorectal cancer

Introduction Colorectal cancer (CRC), the 2nd cause of cancer death worldwide, is an indolent disease with 50% of patients eventually developing liver metastases (mCRC). Repeated cycles of different chemotherapies, combined with surgery in oligo-metastatic cases, are the therapeutic standard in mCRC. However, this strategy is resolutive in less than 15% of cases. Differentiating non- and short-term responders from potentially \u201ccured\u201d patients will spare patients needless toxicity and allow alternative treatments earlier, with conceivable cost and life savings. In this study we aimed to use CT texture analysis (CTTA) to identify specific imaging biomarkers of hepatic metastases, able to predict patient\u2019s response to therapy and overall survival. Methods We exploited the imaging data-set of the HERACLES trial (NCT03225937): 23 patients with amplified Human Epidermal growth factor Receptor 2 (HER2) mCRC were included in the study. All had received anti HER2 treatment, and underwent CT examination every 8 weeks, until disease progression. CT scans were semi-automatically segmented to extract for each patient all liver metastases. Texture analysis was performed on each segmented area, computing for each lesion 34 quantitative parameters. Both mono-parametric and multi-parametric analysis were assessed to identify features most correlated to therapy response. We also performed a correlative survival (OS) analysis, considering subjects with good survival those with OS &gt; 9 months. Results In 23 patients we found 124 metastases, 55 of which were classified as responding and 69 as non-responding. Nine parameters reached statistical significance in the mono-parametric analysis (best AUC=0.67, p=0.001), while in the multivariate regression ten parameters were used in the model, achieving and AUC equal to 0.82, with sensitivity of 82% and specificity 72%. For OS analysis, 12 patients were \u201cgood\u201d and 11 \u201cpoor\u201d survivors. In the mono-parametric analysis \u201ccluster prominence\u201d and \u201csum entropy\u201d predicted OS with AUC equal to 0.78 and 0.83, respectively. The regression model with two variables (\u201ccluster prominence\u201d and \u201cdissimilarity\u201d) reached a sensitivity of 83% and a specificity of 82%. Conclusions Our study demonstrated CTTA as a potential biomarker to predict response of hepatic metastases to chemotherapy treatment, possibly saving patients predicted as non-responder from toxicity. Moreover, CTTA could give indications on patients OS, without the need for additional tests