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Treatment strategies for patients with rectal cancer have changed substantially in recent decades.
Finally, we validated our model using a published dataset from an independent source.The purity and concentration of RNA were determined using a Bioanalyzer (Agilent Technologies, Santa Clara, CA).The RNA was amplified and labelled according to the Affymetrix Gene Chip Whole Transcript (WT) Sense Target Labelling protocol.Tumor stage was determined according to the guidelines set forth by the International Union Against Cancer (UICC).Total RNA was extracted from tumor tissue using TRIzol reagent (Invitrogen, Carlsbad, CA), and the collected RNA was purified using RNeasy mini kits (Qiagen, Valencia, CA).Various clinical information such as UICC stage and Dworak grade are summarized in Table : Table S1.
Responses to CRT were determined according to Dworak tumor regression grade.
This study was approved by the Institutional Review Boards (IRBs) at Samsung Medical Center (IRB No. Written informed consent for participation in this study was obtained from the patient.
A total of 77 rectal cancer patients who underwent preoperative CRT were included in this study.
Preoperative chemoradiotherapy (CRT) has become a widely used treatment for improving local control of disease and increasing survival rates of rectal cancer patients.
We aimed to identify a set of genes that can be used to predict responses to CRT in patients with rectal cancer.
We identified MI- and TO-finders for predicting preoperative CRT responses, and validated these data using an independent public dataset.