Literature DB >> 23647300

Identification of HOXB8 and KLK11 expression levels as potential biomarkers to predict the effects of FOLFOX4 chemotherapy.

Shaotang Li1, Xingrong Lu, Pan Chi, Jie Pan.   

Abstract

AIM: To measure global gene expression in primary advanced colorectal cancer patients who have undergone fluorouracil, leucovorin and oxaliplatin (FOLFOX4) chemotherapy and screen valuable biomarkers to predict the effects of chemotherapy. MATERIALS &
METHODS: Samples from primary advanced colorectal cancer patients were collected. The effects of chemotherapy were evaluated, and patients were divided into an experimental group and a control group. Cancerous tissue gene expression profiles were detected by chip technology. Valuable biomarkers were screened by bioinformatic analysis. Immunohistochemical analysis was performed to characterize the pattern of HOXB8 and KLK11 expression. HOXB8 and KLK11 signal probe values were analyzed using receiver operating characteristic analysis.
RESULTS: There were differentially expressed genes in the two groups. HOXB8 and KLK11 proteins were observed in the nucleus and on the outside of the cancer cells, respectively. Their prediction accuracies were 79.9 and 76.7%, respectively.
CONCLUSION: HOXB8 and KLK11 may be classified as valuable biomarkers, as they can predict the effects of FOLFOX4 chemotherapy in primary advanced colorectal cancer patients.

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Year:  2013        PMID: 23647300     DOI: 10.2217/fon.13.25

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  15 in total

1.  Response prediction to oxaliplatin plus 5-fluorouracil chemotherapy in patients with colorectal cancer using a four-protein immunohistochemical model.

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Journal:  Oncol Lett       Date:  2019-06-14       Impact factor: 2.967

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3.  Knockdown of KLK11 inhibits cell proliferation and increases oxaliplatin sensitivity in human colorectal cancer.

Authors:  Zongbin Xu; Pan Chi; Jie Pan; Songfei Shen; Yanwu Sun; Xiaojie Wang; Xingrong Lu
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4.  Immunological landscape of consensus clusters in colorectal cancer.

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Journal:  Oncotarget       Date:  2017-10-27

5.  Identification of a 13-gene-based classifier as a potential biomarker to predict the effects of fluorouracil-based chemotherapy in colorectal cancer.

Authors:  Zuhuan Gan; Qiyuan Zou; Yan Lin; Zihai Xu; Zhong Huang; Zhichao Chen; Yufeng Lv
Journal:  Oncol Lett       Date:  2019-03-19       Impact factor: 2.967

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Authors:  Tingting Wang; Feiyan Lin; Xuecheng Sun; Lei Jiang; Ruibo Mao; Shenyue Zhou; Wenjing Shang; Ruichun Bi; Fengying Lu; Shaotang Li
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7.  Distinct esophageal adenocarcinoma molecular subtype has subtype-specific gene expression and mutation patterns.

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Journal:  BMC Genomics       Date:  2018-10-24       Impact factor: 3.969

8.  FBXW4 Acts as a Protector of FOLFOX-Based Chemotherapy in Metastatic Colorectal Cancer Identified by Co-Expression Network Analysis.

Authors:  Yiyi Zhang; Lijun Sun; Xiaojie Wang; Yanwu Sun; Ying Chen; Meifang Xu; Pan Chi; Xingrong Lu; Zongbin Xu
Journal:  Front Genet       Date:  2020-03-11       Impact factor: 4.599

9.  Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy.

Authors:  Jun He; Jun Cheng; Qingzhou Guan; Haidan Yan; Yawei Li; Wenyuan Zhao; Zheng Guo; Xianlong Wang
Journal:  Cancer Sci       Date:  2019-12-18       Impact factor: 6.716

10.  A panel of Transcription factors identified by data mining can predict the prognosis of head and neck squamous cell carcinoma.

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Journal:  Cancer Cell Int       Date:  2019-11-15       Impact factor: 5.722

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