Panel biomarkers associated with cancer invasion and prognostic prediction for head

Panel biomarkers associated with cancer invasion and prognostic prediction for head–neck cancer

Published:2021-08 Issue:11 Volume:15 Page:861-877
ISSN:1752-0363
Container-title:Biomarkers in Medicine
language:en
Short-container-title:Biomarkers in Medicine

Author:

Chen Yin-Ju¹²³⁴^ORCID,Chang Joseph T⁵⁶^ORCID,You Guo-Rung⁷,Huang Chun-Yu⁸,Fan Kang-Hsing⁵⁹,Cheng Ann-Joy⁵⁷^ORCID

Affiliation:

1. Graduate Institute of Biomedical Materials and Tissue Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, 11031, Taiwan

2. Department of Radiation Oncology, Taipei Medical University Hospital, Taipei, 11031, Taiwan

3. International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, 11031, Taiwan

4. TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, 11031, Taiwan

5. Department of Radiation Oncology, Chang Gung Memorial Hospital-Linkou, Taoyuan, 33333, Taiwan

6. Department of Medical School, College of Medicine, Chang Gung University, Taoyuan, 33302, Taiwan

7. Department of Medical Biotechnology & Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, 33302, Taiwan

8. School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, 11031, Taiwan

9. Department of Radiation Oncology, New Taipei Municipal TuCheng Hospital, New Taipei City, 236017, Taiwan

Abstract

Aim: Cell invasion leading to metastasis is a major cause of treatment failure in head–neck cancers (HNCs). Identifying prognostic molecules associated with invasiveness is imperative for clinical applications. Materials & methods: A systemic approach was used to globally survey invasion-related genes, including transcriptomic profiling, pathway analysis, data mining and prognostic assessment using TCGA-HNSC dataset. Results: Six functional pathways and six hub molecules (LAMA3, LAMC2, THBS1, IGF1R, PDGFB and TGFβ1) were identified that significantly contributed to cell invasion, leading to poor survival in HNC patients. Combinations of multiple biomarkers substantially increased the probability of accurately predicting prognosis. Conclusion: Our six defined invasion-related molecules may be used as a panel signature in precision medicine for prognostic indicators or molecular therapeutic targets for HNC.

Funder

Higher Education Sprout Project by the Ministry of Education

Taipei Medical University,

Chang Gung Memorial Hospital,

Publisher

Future Medicine Ltd

Subject

Biochemistry (medical),Clinical Biochemistry,Drug Discovery

Link

https://www.futuremedicine.com/doi/pdf/10.2217/bmm-2021-0213

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