ABSTRACT: Correlative analysis of circulating tumor DNA (ctDNA) in aggressive large B-cell lymphoma patients treated in NLG-LBC-05 phase II trial. Whole genome and targeted sequencing was applied to longitudinal plasma cell-free DNA and diagnostic tumor tissues.
Project description:Claret2009 - Predicting phase III overall survival in colorectal cancer
This model is described in the article:
Model-based prediction of
phase III overall survival in colorectal cancer on the basis of
phase II tumor dynamics.
Claret L, Girard P, Hoff PM, Van
Cutsem E, Zuideveld KP, Jorga K, Fagerberg J, Bruno R.
J. Clin. Oncol. 2009 Sep; 27(25):
4103-4108
Abstract:
PURPOSE: We developed a drug-disease simulation model to
predict antitumor response and overall survival in phase III
studies from longitudinal tumor size data in phase II trials.
METHODS: We developed a longitudinal exposure-response
tumor-growth inhibition (TGI) model of drug effect (and
resistance) using phase II data of capecitabine (n = 34) and
historical phase III data of fluorouracil (FU; n = 252) in
colorectal cancer (CRC); and we developed a parametric survival
model that related change in tumor size and patient
characteristics to survival time using historical phase III
data (n = 245). The models were validated in simulation of
antitumor response and survival in an independent phase III
study (n = 1,000 replicates) of capecitabine versus FU in CRC.
RESULTS: The TGI model provided a good fit of longitudinal
tumor size data. A lognormal distribution best described the
survival time, and baseline tumor size and change in tumor size
from baseline at week 7 were predictors (P < .00001).
Predicted change of tumor size and survival time distributions
in the phase III study for both capecitabine and FU were
consistent with observed values, for example, 431 days (90%
prediction interval, 362 to 514 days) versus 401 days observed
for survival in the capecitabine arm. A modest survival
improvement of 39 days (90% prediction interval, -21 to 110
days) versus 35 days observed was predicted for capecitabine.
CONCLUSION: The modeling framework successfully predicted
survival in a phase III trial on the basis of capecitabine
phase II data in CRC. It is a useful tool to support
end-of-phase II decisions and design of phase III studies.
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Project description:This study is to evaluate circulating tumor DNA (ctDNA) as a predictive and surveillant method for tumor recurrence in stage II and III colorectal cancer (CRC).
Project description:This is a multi-site, open-label, Phase II, randomized, trial to compare the efficacy of RO7198457 versus watchful waiting in patients with circulating tumor DNA (ctDNA) positive, surgically resected Stage II/III rectal cancer, or Stage II (high risk)/Stage III colon cancer.
Project description:This is a comparative study. This study is to compare the diagnostic sensitivity between circulating tumor DNA methylation and carcinoembryonic antigen in detecting colorectal cancer. There are two steps in this study. Firstly, the diagnostic model is established based on tumor-specific plasma circulating tumor DNA methylation markers. Secondly, the sensitivity, specificity and accuracy of plasma circulating tumor DNA methylation are compared with that of carcinoembryonic antigen in detecting colorectal cancer.
Project description:In this study, the investigators aimed to apply their previously developed multi-locus blood-based assay targeting circulating tumor DNA methylation to monitor postoperative relapse and evaluate adjuvant chemotherapy efficacy in resected stage I and stage II (without high risk) colorectal cancer after radical resection.
Project description:Small-cell lung cancer (SCLC) is an aggressive malignancy composed of distinct transcriptional subtypes, each with unique therapeutic vulnerabilities. Implementing subtyping in the clinic has remained challenging due to limited tissue availability, particularly for longitudinal monitoring. Given the known epigenetic regulation of critical SCLC transcriptional programs, we hypothesized that there would be subtype-specific patterns of DNA methylation that could be detected in tumor or blood from SCLC patients. Using genomic-wide reduced-representation bisulfite sequencing (RRBS) in two cohorts of totally 179 SCLC patients and machine learning approaches, we developed a highly accurate DNA methylation-based classifier (SCLC-DMC) that could distinguish SCLC subtypes using clinical tumor samples with 95.8% accuracy in the testing set compared to mRNA-based profiling. We further adjusted the classifier for circulating-free DNA (cfDNA) to subtype SCLC from plasma. Using the cfDNA classifier (cfDMC) we could demonstrate that SCLC phenotypes can evolve during disease progression, highlighting the need for longitudinal tracking of SCLC during clinical treatment. Furthermore, methylation-based subtyping predicted response to a wide variety of drugs in preclinical models and clinical outcomes were indistinguishable in cohorts of patients subtyped using mRNA or SCLC-DMC. These data establish that tumor and cfDNA methylation can be used to identify SCLC subtypes and guide precision SCLC therapy.
Project description:This observational study will evaluate circulating tumor DNA (ctDNA) as a prognostic marker and as a monitor of disease recurrence in stage III colorectal cancer (CRC).
Project description:Peripheral blood samples were collected from subjects enrolled in the TrialNet study TN-05. This was a phase II study of the effects of the anti-CD20 monoclonal antibody rituximab in new-onset T1D. Total RNA was isolated from whole blood samples and then globin-reduced. RNAseq libraries were prepared from the globin-reduced RNA.
