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76 citation(s) found for "George, Thomas J".

Reevaluating Disease-Free Survival as an Endpoint vs Overall Survival in Stage III Adjuvant Colon Cancer Trials
Yin, Jun , Salem, Mohamed E. , Dixon, Jesse G. , Jin, Zhaohui , Cohen, Romain , DeGramont, Aimery, Taı̈eb, Julien , Alberts, Steven R. , Schmoll, Hans‐Joachim , George, Thomas J. , Goldberg, Richard M. , Lonardi, Sara , Shi, Qian , Taieb, Julien , Alberts, Steven R , George, Thomas J , Goldberg, Richard M , Kerr, Rachel , Lonardi, Sara , Yothers, Greg , André, Thierry , Shi, Qian , Schmoll, Hans-Joachim , Jin, Zhaohui , Cohen, Romain , Dixon, Jesse G , Gramont, Aimery de , Cutsem, Eric Van , Wolmark, Norman , Saltz, Leonard B. , Kerr, Rachel , Yoshino, Takayuki , Yothers, Greg , Grothey, Axel , André, Thierry

Mayo Clinic

JNCI: Journal of the National Cancer Institute | September 8, 2021 | Volume: 114 | Issue: 1 | Pages: 60-67

10.1093/jnci/djab187 | PMID 34505880 Get It

Abstract Background Disease-free survival (DFS) with a 3-year median follow-up (3-year DFS) was validated as a surrogate for overall survival (OS) with a 5-year median follow-up (5-year OS) in adjuvant chemotherapy colon cancer (CC) trials. Recent data show further improvements in OS and survival after recurrence in patients who received adjuvant FOLFOX. Hence, reevaluation of the association between DFS and OS and determination of the optimal follow-up duration of OS to aid its utility in future adjuvant trials are needed. Methods Individual patient data from 9 randomized studies conducted between 1998 and 2009 were included; 3 trials tested biologics. Trial-level surrogacy examining the correlation of treatment effect estimates of 3-year DFS with 5 to 6.5-year OS was evaluated using both linear regression (RWLS2) and Copula bivariate (RCopula2) models and reported with 95% confidence intervals (CIs). For R2, a value closer to 1 indicates a stronger correlation. Results Data from a total of 18 396 patients were analyzed (median age = 59 years; 54.0% male), with 54.1% having low-risk tumors (T1-3 and N1), 31.6% KRAS mutated, 12.3% BRAF mutated, and 12.4% microsatellite instability high or deficient mismatch repair tumors. Trial-level correlation between 3-year DFS and 5-year OS remained strong (RWLS2 = 0.82, 95% CI = 0.67 to 0.98; RCopula2 = 0.92, 95% CI = 0.83 to 1.00) and increased as the median follow-up of OS extended. Analyses limited to trials that tested biologics showed consistent results. Conclusions Three-year DFS remains a validated surrogate endpoint for 5-year OS in adjuvant CC trials. The correlation was likely strengthened with 6 years of follow-up for OS.
Extracting social determinants of health from electronic health records using natural language processing: a systematic review
Patra, Braja Gopal , Sharma, Mohit , Vekaria, Veer , Adekkanattu, Prakash , Patterson, Olga V. , Glicksberg, Benjamin S. , Ryu, Euijung , Furmanchuk, Al’ona , George, Thomas J. , Yang, Xi , Bian, Jiang , Wickramaratne, Priya , Weiner, Mark G. , Pathak, Jyotishman , Patra, Braja G , Sharma, Mohit M , Glicksberg, Benjamin , George, Thomas J , Hogan, William , Bian, Jiang , Campion, Thomas R , Weiner, Mark , Pathak, Jyotishman , Vekaria, Veer , Lepow, Lauren , Biernacka, Joanna M. , Hogan, William R. , Wu, Yonghui , Weissman, Myrna M. , Mann, J. John , Olfson, Mark

Mayo Clinic

Journal of the American Medical Informatics Association | August 5, 2021 | Volume: 28 | Issue: 12 | Pages: 2716-2727

10.1093/jamia/ocab170 | PMID 34613399 Get It

Abstract Objective Social determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can potentially improve diagnosis, treatment planning, and patient outcomes. Despite increased interest in capturing SDoH in electronic health records (EHRs), such information is typically locked in unstructured clinical notes. Natural language processing (NLP) is the key technology to extract SDoH information from clinical text and expand its utility in patient care and research. This article presents a systematic review of the state-of-the-art NLP approaches and tools that focus on identifying and extracting SDoH data from unstructured clinical text in EHRs. Materials and Methods A broad literature search was conducted in February 2021 using 3 scholarly databases (ACL Anthology, PubMed, and Scopus) following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 6402 publications were initially identified, and after applying the study inclusion criteria, 82 publications were selected for the final review. Results Smoking status (n = 27), substance use (n = 21), homelessness (n = 20), and alcohol use (n = 15) are the most frequently studied SDoH categories. Homelessness (n = 7) and other less-studied SDoH (eg, education, financial problems, social isolation and support, family problems) are mostly identified using rule-based approaches. In contrast, machine learning approaches are popular for identifying smoking status (n = 13), substance use (n = 9), and alcohol use (n = 9). Conclusion NLP offers significant potential to extract SDoH data from narrative clinical notes, which in turn can aid in the development of screening tools, risk prediction models, and clinical decision support systems.
Clinicopathological and Molecular Characteristics of Early-Onset Stage III Colon Adenocarcinoma: An Analysis of the ACCENT Database
Jin, Zhaohui , Dixon, Jesse G. , Fiskum, Jack, Yothers, Greg , Allegra, Carmen J. , Haller, Daniel G. , Gramont, Aimery de , Taı̈eb, Julien , Tweleves, Christopher, Sadahiro, Sotaro , Blanke, Charles D. , Tomita, Naohiro , Seitz, Jean‐François, Erlichman, Charles , Yamanaka, Takeharu , Goldberg, Richard M. , George, Thomas J. , Fiskum, Jack M, Yothers, Greg , Haller, Daniel , Kerr, Rachel , Taieb, Julien , Twelves, Christopher , O'Connell, Michael, Saltz, Leonard , Marsoni, Silvia , André, Thierry , Mahipal, Amit , Goldberg, Richard M , George, Thomas J , Shi, Qian , Jin, Zhaohui , Dixon, Jesse G , Parekh, Hiral D. , Sinicrope, Frank A. , Wolmark, Norman , Schmoll, Hans‐Joachim , Kerr, Rachel , Cutsem, Eric Van , Twelves, Chris , O’Connell, Michael J. , Saltz, Leonard B. , Yoshino, Takayuki , Marsoni, Silvia , André, Thierry , Mahipal, Amit , Shi, Qian

Mayo Clinic

JNCI: Journal of the National Cancer Institute | June 21, 2021 | Volume: 113 | Issue: 12 | Pages: 1693-1704

10.1093/jnci/djab123 | PMID 34405233 Get It

Abstract Background Colon cancer (CC) incidence in young adults (age 20-49 years), termed early-onset CC (EO-CC), is increasing. Methods Individual patient data on 35 713 subjects with stage III colon cancer from 25 randomized studies in the Adjuvant Colon Cancer ENdpoint database were pooled. The distributions of demographics, clinicopathological features, biomarker status, and outcome data were summarized by age group. Overall survival, disease-free survival, time to recurrence, and survival after recurrence were assessed by Kaplan-Meier curves and Cox models stratified by treatment arms within studies, adjusting for sex, race, body mass index, performance status, disease stage, grade, risk group, number of lymph nodes examined, disease sidedness, and molecular markers. All statistical tests were 2-sided. Results Using a 5% difference between age groups as the clinically meaningful cutoff, patients with stage III EO-CC had similar sex, race, performance status, risk group, tumor sidedness, and T stage compared with patients with late-onset CC (age 50 years and older). EO-CC patients were less likely to be overweight (30.2% vs 36.2%) and more commonly had 12 or more lymph nodes resected (69.5% vs 58.7%). EO-CC tumors were more frequently mismatch repair deficient (16.4% vs 11.5%) and less likely to have BRAFV600E (5.6% vs 14.0%), suggesting a higher rate of Lynch syndrome in EO-CC. Patients with EO-CC had statistically significantly better overall survival (hazard ratio [HR] = 0.81, 95% confidence interval [CI] = 0.74 to 0.89; P < .001), disease-free survival (HR = 0.91, 95% CI = 0.84 to 0.98; P = .01), and survival after recurrence (HR = 0.88, 95% CI = 0.80 to 0.97; P = .008) in the analysis without molecular markers; however, age at onset of CC lost its prognostic value when outcome was adjusted for molecular markers. Conclusion Tumor biology was found to be a more important prognostic factor than age of onset among stage III colon cancer patients in the Adjuvant Colon Cancer ENdpoint database.
Clinicopathological and molecular characteristics of early-onset stage III colon adenocarcinoma: An analysis of 25 studies with 35,713 patients in the Adjuvant Colon Cancer End Points (ACCENT) database.
Yothers, Greg , Haller, Daniel G. , Gramont, Aimery de , Twelves, Chris , Tomita, Naohiro , Goldberg, Richard M. , Yothers, Greg , Jin, Zhaohui , Dixon, Jesse G. , Parekh, Hiral D. , Sinicrope, Frank A. , Schmoll, Hans‐Joachim , Kerr, Rachel , Taı̈eb, Julien , Cutsem, Eric Van , Saltz, Leonard B. , Yoshino, Takayuki , André, Thierry , Mahipal, Amit , George, Thomas J. , Shi, Qian

Mayo Clinic

Journal of Clinical Oncology | June 2, 2021 | Volume: 39 | Issue: 15_suppl | Pages: 3597-3597

10.1200/jco.2021.39.15_suppl.3597 Get It

3597 Background: Colon cancer (CC) incidence and mortality have decreased since the 1970s, but the incidence in young adults (20-49 years) is increasing. There are limited data suggesting that, as a group, patients with early onset CRC (eoCC) may have different phenotypic characteristics compared to those with late onset CRC (loCC, age ≥ 50 years). Methods: Individual patient data on 35,713 subjects with stage III CC from 25 randomized studies (recruiting between 1987 and 2009) in the ACCENT database were pooled. The distributions of demographics, clinicopathological features, biomarkers, and outcome data were summarized by age group. Overall survival (OS), disease-free survival (DFS), recurrence free rate (RFR), and survival after recurrence (SAR) were assessed by Kaplan-Meier curves and Cox models stratified by treatment arms within studies, adjusting for gender, race, body mass index, performance status, disease stage, grade, risk group, number of lymph nodes examined, disease sidedness and molecular markers. Results: Using a 5% difference between age groups as the clinically meaningful cutoff, patients with stage III eoCC (n = 6246) had similar distributions according to gender, race, PS, risk group, tumor sidedness and T/N stage compared to those with loCC (n = 29467). Patients with eoCC were significantly less likely to be overweight (30.2% vs 36.2%) but more commonly had ≥ 12 lymph nodes resected (69.5% vs 58.7%). The eoCC tumors were more frequently mismatch repair deficient (16.4% vs 11.5%), and less likely to have BRAFV600E (5.6% vs 14.0%), suggesting a higher frequency of Lynch syndrome in eoCC. In univariate analysis, patients with stage III eoCC had significantly better OS, DFS, and SAR; the difference between 3-year DFS and RFR strongly suggests the OS/DFS difference between these the eoCC and loCC may be due to increased competing risks and comorbidities in patients with loCC. In multivariate analysis, age at onset lost its prognostic value when outcome was adjusted for molecular markers. The clear relation between age of onset and KRAS/BRAF status was confirmed in the interaction analysis. Conclusions: Tumor biology was an important determinant of prognosis regardless of patient age. In multivariate analysis age of onset was not a statistically significant determinant of outcome.[Table: see text]
Systematic Analysis of Extracting Data on Advance Directives from Patient Electronic Health Records (EHR) in Terminal Oncology Patients
Starr, Jason S. , Skelton, William Paul , Rahmanian, Kiarash P., Guenther, Robert, Allen, William L. , George, Thomas J. , Moseley, Ray , George, Thomas J

Mayo Clinic

Journal of Palliative Care | March 12, 2021 | Volume: 36 | Issue: 4 | Pages: 211-218

10.1177/08258597211001153 | PMID 33711237 Get It

Background: Advance directives are legal documents that include living wills and durable health care power of attorney documents. They are critical components of care for seriously ill patients which are designed to be implemented when a patient is terminally ill and incapacitated. We sought to evaluate potential reasons for why advance directives were not appropriately implemented, by reviewing the electronic health record (EHR) in patients with terminal cancer. Methods: A retrospective analysis of the EHR of 500 cancer patients from 1/1/2013 to 12/31/2016 was performed. Data points were manually collected and entered in a central database. Results: Of the 500 patients, 160 (32%) had an advance directive (AD). The most common clinical terminology used by physicians indicating a terminal diagnosis was progressive (36.6%) and palliative (31%). The most common clinical terminology indicating incapacity was altered mental status (25.6%), and not oriented (14%). 34 (6.8%) patients met all criteria of having a terminal diagnosis, a documented AD, and were deemed incapacitated. Of these patients who met all of these data points, their ADs were implemented on average 1.7 days (SD: 4.4 days) after which they should have been. This resulted in a total of 58 days of additional care provided. Discussion: This study provided insight on to how ADs are managed in day to day practice in the hospital. From our analysis it appears that physicians are able to identify when a patient is terminal, however, it is typically later than it should have been recognized. Further studies should be performed focusing on harnessing the power of the EHR and providing physicians formative and evaluative feedback of practice patterns to ensure that ADs are honored when appropriate.
Genetic Predictors of Severe Skin Toxicity in Patients with Stage III Colon Cancer Treated with Cetuximab: NCCTG N0147 (Alliance)
Labadie, Julia , Hua, Xinwei , Harrison, Tabitha A. , Banbury, Barbara L. , Huyghe, Jeroen R. , Sun, Wei , Shi, Qian , Yothers, Greg , Sinicrope, Frank A. , Goldberg, Richard M. , George, Thomas J. , Phipps, Amanda I. , Peters, Ulrike , Sinicrope, Frank A , Goldberg, Richard M , George, Thomas J , Cohen, Stacey A , Sun, Wei , Harrison, Tabitha A , Shi, Qian , Yothers, Greg , Alberts, Steven R. , Penney, Kathryn , Cohen, Stacey A. , Chan, Andrew T. , Newcomb, Polly A.

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | November 17, 2020 | Volume: 30 | Issue: 2 | Pages: 404-411

10.1158/1055-9965.epi-20-1274 | PMID 33203692 Get It

Abstract Background: Cetuximab, an EGFR inhibitor used to treat multiple cancer types, including colon cancer, causes severe skin toxicity in 5%–20% of patients, leading to decreased quality of life and treatment delays. Our understanding of which patients have an increased risk of severe toxicities is limited. We conducted a genome-wide association study to identify germline variants predictive of cetuximab-induced severe skin toxicity. Methods: Our study included 1,209 patients with stage III colon cancer randomized to receive cetuximab plus 5-fluorouracil and oxaliplatin as part of the NCCTG N0147 (Alliance) clinical trial. Skin toxicity outcomes were collected using the Common Toxicity Criteria for Adverse Events version 3.0. We performed genotyping, evaluating approximately 10 million genetic variants. We used logistic regression to evaluate the association of each genetic variant and severe (grade ≥ 3) skin toxicity, adjusting for age, sex, and genetic ancestry. Genome-wide significance was defined as P < 5 × 10−8. Results: Participants were predominantly middle-aged white men; 20% (n = 243) experienced severe skin toxicity. Two genetic variants in the retinoic acid receptor alpha (RARA) gene were significantly associated with severe skin toxicity [OR, 3.93; 95% confidence interval (CI), 2.47–6.25; P < 7.8 × 10−9]. Functional annotations indicate these variants are in the RARA promoter. Additional significantly associated variants were identified in chromosome 2 intergenic regions. Conclusions: Identified variants could represent a potential target for risk stratification of patients with colon cancer receiving cetuximab. Impact: Retinoids have shown promise in the treatment of cetuximab-induced skin toxicity, so follow-up work could evaluate whether individuals with the RARA variant would benefit from retinoid therapy.
Sex and Adverse Events of Adjuvant Chemotherapy in Colon Cancer: An Analysis of 34 640 Patients in the ACCENT Database
Wagner, Dorothea , André, Thierry , Dixon, Jesse G. , Haller, Daniel G. , Allegra, Carmen J. , Gramont, Aimery de , VanCutsem, Eric, George, Thomas J. , Twelves, Christopher , Taı̈eb, Julien , Blanke, Charles D. , Francini, Edoardo , Yothers, Greg , Seitz, Jean François, Marsoni, Silvia , Goldberg, Richard M. , Shi, Qian , George, Thomas J , André, Thierry , Shi, Qian , Yothers, Greg , Taieb, Julien , Marsoni, Silvia , Dixon, Jesse G , Grothey, Axel , Wolmark, Norman , Alberts, Steven R. , O’Connell, Michael J. , Saltz, Leonard B. , Kerr, Rachel

Mayo Clinic

JNCI: Journal of the National Cancer Institute | August 19, 2020 | Volume: 113 | Issue: 4 | Pages: 400-407

10.1093/jnci/djaa124 | PMID 32835356 Get It

Abstract 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.
Systematic analysis of extracting data on advance directives from patient electronic health records in terminal oncology patients.
Skelton, William Paul , Starr, Jason S. , Rahmanian, Kiarash P., Guenther, Robert, Allen, William L. , Moseley, Ray , George, Thomas J.

Mayo Clinic

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: e24011-e24011

10.1200/jco.2020.38.15_suppl.e24011 Get It

e24011 Background: Advanced care planning and living wills are critical components of caring for patients at the end of their lives. Advance directives are designed to be implemented when a patient meets the legal definition of terminal and is deemed incapacitated. By reviewing the electronic health record (EHR) in patients with terminal cancer, we sought to evaluate whether advance directives were appropriately implemented. Methods: A retrospective analysis of the EHR of 500 cancer patients from 1/1/2013 to 12/31/2016 was performed. Data points were manually collected and entered in a central database, and data analysis was completed using SAS. Results: Of the 500 patients, 160 (32%) had an advance directive (AD). The most common clinical terminology used by physicians indicating a terminal diagnosis was “progressive” (36.6%) and “palliative” (31%). The most common clinical terminology indicating incapacity was “altered mental status” (25.6%), and “not oriented” (14%). 34 patients (6.8%) met all criteria of having a terminal diagnosis, a documented AD, and deemed incapacitated. Of these patients who met all of these data points, their ADs were implemented on average 1.7 days (SD: 4.4 days) after which they should have been. This resulted in a total of 58 days of additional care provided to these patients. Conclusions: End-of-life care is a challenging albeit vital part of the practice of medicine. This study provided insight on to how ADs are managed in day to day practice in a hospital. From our analysis, it is clear that physicians are able to identify when a patient is terminal; however, it is typically later than it should have been recognized (and thereby, leading to delays in the implementation of the patient’s AD). Further studies should be performed focusing on harnessing the power of the EHR and providing physicians formative and evaluative feedback of practice patterns to ensure that ADs are honored when appropriate.
Clinicopathological and molecular biological characteristics of early-onset stage II/III colorectal adenocarcinoma: An analysis of 25 studies with 47,184 patients (pts) in the adjuvant colon cancer end points (ACCENT) database.
Yothers, Greg , Allegra, Carmen J. , Haller, Daniel G. , Gramont, Aimery de , Twelves, Chris , Seitz, Jean‐François, Goldberg, Richard M. , Yothers, Greg , Jin, Zhaohui , Dixon, Jesse G. , Parekh, Hiral D. , Alberts, Steven R. , Kerr, Rachel , Yoshino, Takayuki , Cutsem, Eric Van , Taı̈eb, Julien , Saltz, Leonard B. , André, Thierry , Mahipal, Amit , Shi, Qian , George, Thomas J.

Mayo Clinic

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 4099-4099

10.1200/jco.2020.38.15_suppl.4099 Get It

4099 Background: Colorectal cancer (CRC) incidence and mortality has decreased since the 1970s but the incidence is increasing in young adults (age 20-49). The incidence of early onset CRC (eoCRC) will keep increasing significantly based on the trends of the SEER CRC registry data. There is limited data suggesting eoCRC may have different behaviors compared to traditional CRC (tCRC, age ≥ 50). Methods: Individual pt data of 47184 stage II/III CRC pts from 25 randomized studies in the ACCENT database were pooled. The distributions of demographics, clinicopathological features, biomarker status, and treatment-related data were summarized by age group. Overall survival (OS), disease-free survival (DFS), recurrence-free rate (RFR), and survival after recurrence (SAR) were assessed by Kaplan-Meier curves and Cox models stratified by treatment arms within studies, adjusting for stage, performance status (PS), BMI and grade. Results: Using 5% difference between age groups as clinically meaningful cutoff, eoCRC had similar gender, race, ethnicity, PS, risk group, disease sidedness and T stage as tCRC. eoCRC were less likely overweight (30 vs 36%) and more pts had ≥ 12 lymph nodes resected (63 vs 51%). eoCRC had more frequent dMMR status (18 vs 12%), less BRAF mutations (5 vs 13%), and more dMMR/BRAF wild type (WT) status (17 vs 7%). Overall, eoCRC had better OS, DFS, and SAR, with the most significant differences between the < 30 and > = 70 age groups. Similar results were observed within pMMR pts. eoCRC experienced less hematological side effects, diarrhea, and stomatitis, but had more nausea and/or vomiting. Conclusions: eoCRC have unique characteristics; although statistically significant, the clinical differences in outcomes between eoCRC and tCRC are potentially due to the difference seen in extremely young and old pts. eoCRC have a different adverse events panel compared to tCRC. [Table: see text]