Cancer Res Treat.  2019 Jan;51(1):300-312. 10.4143/crt.2018.012.

Investigating the Feasibility of Targeted Next-Generation Sequencing to Guide the Treatment of Head and Neck Squamous Cell Carcinoma

Affiliations
  • 1Division of Medical Oncology, Department of Internal Medicine, CHA Bundang Medical Center, Seongnam, Korea.
  • 2Department of Hemato-Oncology, Chonnam National University Hwasun Hospital, Hwasun, Korea.
  • 3Division of Hematology/Oncology, Department of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea.
  • 4Department of Pharmacology, Severance Biomedical Science Institute, Yonsei University of College of Medicine, Yonsei Cancer Research Institute, JE-UK Laboratory of Molecular Cancer Therapeutics, Seoul, Korea.
  • 5Division of Hematology and Medical Oncology, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Korea.
  • 6Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • 7Department of Hemato-Oncology, Keimyung University Dongsan Medical Center, Daegu, Korea.
  • 8Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • 9Department of Internal Medicine, Uijeongbu St. Mary's Hospital, Uijeongbu, Korea.
  • 10Department of Medical Oncology, Gachon University Gil Medical Center, Incheon, Korea.
  • 11Divison of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea. nobelg@yuhs.ac
  • 12HERINGS, The Institute of Advanced Clinical & Biomedical Research, Seoul, Korea.
  • 13Division of Medical Oncology, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Korea.
  • 14Department of Internal Medicine, Incheon St. Mary's Hospital, Incheon, Korea.
  • 15Division of Hemato-Oncology, Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
  • 16Department of Internal Medicine, Konyang University Hospital, Daejeon, Korea.
  • 17Division of Medical Oncology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
  • 18Rare Cancers Clinic, Center for Specific Organs Cancer, National Cancer Center, Goyang, Korea.
  • 19Department of Internal Medicine, SMG-SNU Boramae Hospital, Seoul, Korea.
  • 20Department of Hematology-Oncology, Ajou University School of Medicine, Suwon, Korea.
  • 21Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea.
  • 22Department of Pharmacology, Institute for Cancer Research, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea.
  • 23Department of Pathology, SMG-SNU Boramae Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • 24Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
  • 25Department of Internal Medicine, Chungnam National University Hospital, Daejeon, Korea. hjyun@cnuh.co.kr
  • 26Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea. swkim@yuhs.ac

Abstract

PURPOSE
Head and neck squamous cell carcinoma (HNSCC) is a deadly disease in which precision medicine needs to be incorporated. We aimed to implement next-generation sequencing (NGS) in determining actionable targets to guide appropriate molecular targeted therapy in HNSCC patients.
MATERIALS AND METHODS
Ninety-three tumors and matched blood samples underwent targeted sequencing of 244 genes using the Illumina HiSeq 2500 platform with an average depth of coverage of greater than 1,000×. Clinicopathological data from patients were obtained from 17 centers in Korea, and were analyzed in correlation with NGS data.
RESULTS
Ninety-two of the 93 tumors were amenable to data analysis. TP53 was the most common mutation, occurring in 47 (51%) patients, followed by CDKN2A (n=23, 25%), CCND1 (n=22, 24%), and PIK3CA (n=19, 21%). The total mutational burden was similar between human papillomavirus (HPV)-negative vs. positive tumors, although TP53, CDKN2A and CCND1 gene alterations occurred more frequently in HPV-negative tumors. HPV-positive tumors were significantly associated with immune signature-related genes compared to HPV-negative tumors. Mutations of NOTCH1 (p=0.027), CDKN2A (p < 0.001), and TP53 (p=0.038) were significantly associated with poorer overall survival. FAT1 mutations were highly enriched in cisplatin responders, and potentially targetable alterations such as PIK3CA E545K and CDKN2A R58X were noted in 14 patients (15%).
CONCLUSION
We found several targetable genetic alterations, and our findings suggest that implementation of precision medicine in HNSCC is feasible. The predictive value of each targetable alteration should be assessed in a future umbrella trial using matched molecular targeted agents.

Keyword

Squamous cell carcinoma of the head and neck; Next-generation sequencing; Molecular Targeted Therapy; Biomarkers; Clinical trial

MeSH Terms

Biomarkers
Carcinoma, Squamous Cell*
Cisplatin
Epithelial Cells*
Head*
Humans
Korea
Molecular Targeted Therapy
Neck*
Precision Medicine
Statistics as Topic
Biomarkers
Cisplatin

Figure

  • Fig. 1. (A) Mutational spectrum and copy number alterations in head and neck squamous cell carcinomas detected by targeted sequencing. Samples with a greater than 1% incidence of genetic alterations are shown, and are stratified by human papillomavirus (HPV) status and primary tumor anatomic site. Pos, positive; Neg, negative. (B) A heat map of 55 differentially expressed genes with an absolute fold change ≥ 2 and a false discovery rate (FDR) < 0.05. (C) Volcano plot showing the distribution of the fold changes in gene expression. Genes with an absolute fold change ≥ 2 and FDR < 0.05 are indicated in red (high expression in HPV-positive tumors compared to HPV-negative tumors).

  • Fig. 2. Kaplan-Meier curves showing the association of single nucleotide variations and overall survival (OS) in patients. (A) Patients with NOTCH1 somatic mutation had poorer overall survival (somatic mutation includes missense, nonsense, splice site mutations, frame shift indels, or in-frame indels). (B) Patients with CDKN2A missense mutations had poorer OS. (C) Patients with TP53 nonsense mutation showed poorer OS.

  • Fig. 3. Patients who received cisplatin-based chemotherapy were categorized into responders vs. non-responders and genetic alterations are shown in the order of frequency. Pos, positive; Neg, negative.

  • Fig. 4. Gene diagrams for a selection of key mutations in potentially targetable genes PIK3CA (A), CDKN2A (B), and TP53 (C). (D) Signaling pathway deregulation is shown. HPV, human papillomavirus.


Reference

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