Literature DB >> 27824703

Biomarker-Based Scoring System for Prediction of Tumor Response After Preoperative Chemoradiotherapy in Rectal Cancer by Reverse Transcriptase Polymerase Chain Reaction Analysis.

Hyuk Hur1, Inna Tulina, Min Soo Cho, Byung Soh Min, Woong Sub Koom, Joon Seok Lim, Joong Bae Ahn, Nam Kyu Kim.   

Abstract

BACKGROUND: Numerous molecular markers have been investigated to predict tumor response after preoperative chemoradiotherapy for rectal cancer.
OBJECTIVE: This study aimed to evaluate the predictive value of biomarkers for the prediction of tumor response after preoperative chemoradiotherapy. DESIGN &
SETTING: Tumor specimens have been collected prospectively from 80 patients with rectal cancer who underwent curative resection at 8 weeks after completing preoperative chemoradiotherapy. MAIN OUTCOME MEASURES: With the use of reverse transcriptase polymerase chain reaction analysis, mRNA expression levels of 7 candidate biomarkers (p53, p21, Ki-67, VEGF, CD133, CD24, and CD44) were evaluated from fresh tumor samples collected before preoperative chemoradiotherapy. The correlation between biomarker expression levels and the pathologic response was assessed based on histopathological staging (pTNM) and tumor regression grade.
RESULTS: The mRNA expression levels of 4 biomarkers (p53, p21, Ki67, and CD133) significantly correlated with tumor regression grade response and pathologic complete response. Patients showing low expression of p53 and/or high expression of p21, Ki67, and CD133 exhibited a significantly greater tumor regression grade response and pathologic complete response rate. A scoring system devised so that 1 point was given for each biomarker whose expression level correlated with pathologic complete response (score range: 0-4) showed that 9 of 62 patients with scores of 0 to 2 achieved pathologic complete response, whereas 15 of 18 patients with scores of 3 to 4 achieved pathologic complete response (14.5% vs 83.3%, p < 0.001). For prediction of pathologic complete response, the scoring system showed 62.5% sensitivity, 94.6% specificity, an 83.3% positive predictive value, and an 85.5% negative predictive value. LIMITATIONS: Small patient numbers have limitations related to the reproducibility and ability to provide quantitative information. In addition, this study lacks test and validation sets.
CONCLUSIONS: The pretreatment mRNA expression levels of 4 biomarkers correlated with pathologic tumor response after intraoperative chemoradiotherapy in rectal cancer. Furthermore, the scoring system combining values of biomarker expression might have predictive power with high positive and negative predictive values.

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Year:  2016        PMID: 27824703     DOI: 10.1097/DCR.0000000000000711

Source DB:  PubMed          Journal:  Dis Colon Rectum        ISSN: 0012-3706            Impact factor:   4.585


  7 in total

1.  Expression of vascular endothelial growth factor as a predictor of complete response for preoperative chemoradiotherapy in rectal cancer.

Authors:  Jesang Yu; Seung-Hyun Lee; Tae Sig Jeung; HeeKyung Chang
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

2.  Tumor Mutational Burden and Efficacy of Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis.

Authors:  Jong Yeob Kim; Andreas Kronbichler; Michael Eisenhut; Sung Hwi Hong; Hans J van der Vliet; Jeonghyun Kang; Jae Il Shin; Gabriele Gamerith
Journal:  Cancers (Basel)       Date:  2019-11-15       Impact factor: 6.639

Review 3.  The Predictive Value of Tumor Mutation Burden on Clinical Efficacy of Immune Checkpoint Inhibitors in Melanoma: A Systematic Review and Meta-Analysis.

Authors:  Biao Ning; Yixin Liu; Miao Wang; Yi Li; Tianzi Xu; Yongchang Wei
Journal:  Front Pharmacol       Date:  2022-03-09       Impact factor: 5.810

4.  Predicting stage ypT0-1N0 for nonradical management in patients with middle or low rectal cancer who undergo neoadjuvant chemoradiotherapy: a retrospective cohort study.

Authors:  Jeehye Lee; In Jun Yang; Jung Wook Suh; Hong-Min Ahn; Heung-Kwon Oh; Duck-Woo Kim; Young-Hoon Kim; Kyoung Ho Lee; Sung-Bum Kang
Journal:  Ann Surg Treat Res       Date:  2022-07-07       Impact factor: 1.766

5.  Nomogram for prediction of pathologic complete remission using biomarker expression and endoscopic finding after preoperative chemoradiotherapy in rectal cancer.

Authors:  Hyuk Hur; Min Soo Cho; Woong Sub Koom; Joon Seok Lim; Tae Il Kim; Joong Bae Ahn; Hoguen Kim; Nam Kyu Kim
Journal:  Chin J Cancer Res       Date:  2020-04       Impact factor: 5.087

6.  Prediction of radio-responsiveness with immune-profiling in patients with rectal cancer.

Authors:  In Ja Park; Soyeon An; Sang-Yeob Kim; Hye Min Lim; Seung-Mo Hong; Mi-Ju Kim; Yun Jae Kim; Chang Sik Yu
Journal:  Oncotarget       Date:  2017-07-25

7.  Prognostic impact of pathological complete remission after preoperative irradiation in patients with locally advanced head and neck squamous cell carcinoma: re-analysis of a phase 3 clinical study.

Authors:  Kai Wang; Junlin Yi; Xiaodong Huang; Yuan Qu; Jingwei Luo; Jianping Xiao; Shiping Zhang; Yuan Tang; Weixin Liu; Guozhen Xu; Li Gao; Zhengang Xu; Shaoyan Liu; Xiaolei Wang
Journal:  Radiat Oncol       Date:  2019-12-12       Impact factor: 3.481

  7 in total

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