Predicting multi-class responses to preoperative chemoradiotherapy in rectal cancer patients.

Background: 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.Methods:...

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Publicado en:Radiation Oncology Vol. 11; pp. 1 - 9
Autores principales: Jungsoo Gim, Yong Beom Cho, Hye Kyung Hong, Hee Cheol Kim, Seong Hyeon Yun, Hong-Gyun Wu, Seung-Yong Jeong, Je-Gun Joung, Taesung Park, Woong-Yang Park, Woo Yong Lee, Gim, Jungsoo, Cho, Yong Beom, Hong, Hye Kyung, Kim, Hee Cheol, Yun, Seong Hyeon, Wu, Hong-Gyun, Jeong, Seung-Yong, Joung, Je-Gun, Park, Taesung
Formato: research Journal Article
Publicado: BioMed Central 3/22/2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 3/22/2016
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      pub: BioMed Central
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        10.1186/s13014-016-0623-9
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        114250361
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        atl: Predicting multi-class responses to preoperative chemoradiotherapy in rectal cancer patients.
      aug:
        au:
          Jungsoo Gim
          Yong Beom Cho
          Hye Kyung Hong
          Hee Cheol Kim
          Seong Hyeon Yun
          Hong-Gyun Wu
          Seung-Yong Jeong
          Je-Gun Joung
          Taesung Park
          Woong-Yang Park
          Woo Yong Lee
          Gim, Jungsoo
          Cho, Yong Beom
          Hong, Hye Kyung
          Kim, Hee Cheol
          Yun, Seong Hyeon
          Wu, Hong-Gyun
          Jeong, Seung-Yong
          Joung, Je-Gun
          Park, Taesung
        affil: Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 135-710, Korea
      sug:
        subj:
          Rectal Neoplasms Drug Therapy
          Rectal Neoplasms Radiotherapy
          Aged
          Oligonucleotide Array Sequence Analysis
          Treatment Outcomes
          Male
          Female
          Algorithms
          Middle Age
          RNA Metabolism
          Adult
          Gene Expression Profiling
          RNA
          Genes
          Neoadjuvant Therapy
          Human
          Aged: 65+ years
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Male
          Female
      ab: Background: 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.Methods: Gene expression profiles of pre-therapeutic biopsy specimens obtained from 77 rectal cancer patients were analyzed using DNA microarrays. The response to CRT was determined using the Dworak tumor regression grade: grade 1 (minimal, MI), grade 2 (moderate, MO), grade 3 (near total, NT), or grade 4 (total, TO).Results: Top ranked genes for three different feature scores such as a p-value (pval), a rank product (rank), and a normalized product (norm) were selected to distinguish pre-defined groups such as complete responders (TO) from the MI, MO, and NT groups. Among five different classification algorithms, supporting vector machine (SVM) with the top 65 norm features performed at the highest accuracy for predicting MI using a 5-fold cross validation strategy. On the other hand, 98 pval features were selected for predicting TO by elastic net (EN). Finally we combined TO- and MI-finder models to build a three-class classification model and validated it using an independent dataset of rectal cancer mRNA expression.Conclusions: We identified MI- and TO-finders for predicting preoperative CRT responses, and validated these data using an independent public dataset. This stepwise prediction model requires further evaluation in clinical studies in order to develop personalized preoperative CRT in patients with rectal cancer.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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