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Prognostic Biomarkers for Survival in Nasopharyngeal Carcinoma: A Systematic Review of the Literature.
Islam, Kazi Anisha; Chow, Larry Ka-Yue; Kam, Ngar Woon; Wang, Ying; Chiang, Chi Leung; Choi, Horace Cheuk-Wai; Xia, Yun-Fei; Lee, Anne Wing-Mui; Ng, Wai Tong; Dai, Wei.
Affiliation
  • Islam KA; Department of Clinical Oncology, University of Hong Kong, Hong Kong, China.
  • Chow LK; Department of Clinical Oncology, University of Hong Kong, Hong Kong, China.
  • Kam NW; Department of Clinical Oncology, University of Hong Kong, Hong Kong, China.
  • Wang Y; Laboratory for Synthetic Chemistry and Chemical Biology, Hong Kong, China.
  • Chiang CL; Department of Radiation Oncology, Sun Yat-sen University Cancer Centre, Guangzhou 510060, China.
  • Choi HC; Department of Clinical Oncology, University of Hong Kong, Hong Kong, China.
  • Xia YF; Department of Clinical Oncology, University of Hong Kong, Hong Kong, China.
  • Lee AW; Department of Radiation Oncology, Sun Yat-sen University Cancer Centre, Guangzhou 510060, China.
  • Ng WT; Department of Clinical Oncology, University of Hong Kong, Hong Kong, China.
  • Dai W; Center of Clinical Oncology, University of Hong Kong-Shenzhen Hospital, Shenzhen 518009, China.
Cancers (Basel) ; 14(9)2022 Apr 24.
Article in En | MEDLINE | ID: mdl-35565251
ABSTRACT
This systematic review aims to identify prognostic molecular biomarkers which demonstrate strong evidence and a low risk of bias in predicting the survival of nasopharyngeal carcinoma (NPC) patients. The literature was searched for on PubMed to identify original clinical studies and meta-analyses which reported associations between molecular biomarkers and survival, including ≥150 patients with a survival analysis, and the results were validated in at least one independent cohort, while meta-analyses must include ≥1000 patients with a survival analysis. Seventeen studies fulfilled these criteria-two studies on single nucleotide polymorphisms (SNPs), three studies on methylation biomarkers, two studies on microRNA biomarkers, one study on mutational signature, six studies on gene expression panels, and three meta-analyses on gene expressions. The comparison between the hazard ratios of high-risk and low-risk patients along with a multivariate analysis are used to indicate that these biomarkers have significant independent prognostic values for survival. The biomarkers also indicate a response to certain treatments and whether they could be used as therapeutic targets. This review highlights that patients' genetics, epigenetics, and signatures of cancer and immune cells in the tumor microenvironment (TME) play a vital role in determining their survival.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Systematic_reviews Language: En Journal: Cancers (Basel) Year: 2022 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Systematic_reviews Language: En Journal: Cancers (Basel) Year: 2022 Type: Article Affiliation country: China