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Lee JY, Shi T, Petyuk VA, Schepmoes AA, Fillmore TL, Wang YT, Cardoni W, Coppit G, Srivastava S, Goodman JF, Shriver CD, Liu T, Rodland KD. Detection of Head and Neck Cancer Based on Longitudinal Changes in Serum Protein Abundance. Cancer Epidemiol Biomarkers Prev 2020; 29:1665-1672. [PMID: 32532828 DOI: 10.1158/1055-9965.epi-20-0192] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 04/16/2020] [Accepted: 06/02/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Approximately 85% of the U.S. military active duty population is male and less than 50 years of age, with elevated levels of known risk factors for oropharyngeal squamous cell carcinoma (OPSCC), including smoking, excessive use of alcohol, and greater numbers of sexual partners, and elevated prevalence of human papilloma virus (HPV). Given the recent rise in incidence of OPSCC related to the HPV, the Department of Defense Serum Repository provides an unparalleled resource for longitudinal studies of OPSCC in the military for the identification of early detection biomarkers. METHODS We identified 175 patients diagnosed with OPSCC with 175 matched healthy controls and retrieved a total of 978 serum samples drawn at the time of diagnosis, 2 and 4 years prior to diagnosis, and 2 years after diagnosis. Following immunoaffinity depletion, serum samples were analyzed by targeted proteomics assays for multiplexed quantification of a panel of 146 candidate protein biomarkers from the curated literature. RESULTS Using a Random Forest machine learning approach, we derived a 13-protein signature that distinguishes cases versus controls based on longitudinal changes in serum protein concentration. The abundances of each of the 13 proteins remain constant over time in control subjects. The AUC for the derived Random Forest classifier was 0.90. CONCLUSIONS This 13-protein classifier is highly promising for detection of OPSCC prior to overt symptoms. IMPACT Use of longitudinal samples has significant potential to identify biomarkers for detection and risk stratification.
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Affiliation(s)
- Ju Yeon Lee
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington.,Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Athena A Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Thomas L Fillmore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Wayne Cardoni
- Frederick Regional Health System, Frederick, Maryland
| | - George Coppit
- Frederick Regional Health System, Frederick, Maryland
| | - Shiv Srivastava
- Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland.,John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Joseph F Goodman
- Division of Otolaryngology, George Washington University, Washington, DC
| | - Craig D Shriver
- Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland.,John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington.
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington. .,Department of Cell Developmental and Cancer Biology, Oregon Health and Science University, Portland, Oregon
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Shen C, Che G. Dermatomyositis as an antecedent sign of lung cancer in an eldly patient: a case report. J Thorac Dis 2014; 6:E15-8. [PMID: 24605239 DOI: 10.3978/j.issn.2072-1439.2014.01.21] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Accepted: 01/13/2014] [Indexed: 02/05/2023]
Abstract
Dermatomyositis (DM) is associated with an increased risk of lung cancer. Misdiagnosed the squamous carcinoma of lung with DM is illustrated by the case who was a 73-year-old male and underwent successful surgical lobectomy presented here. The lack of examination of chest computed tomography (CT) is also emphasized. DM in an adult is a rare clinical entity. To facilitate the preoperative diagnosis and avoid the misdiagnosis of this disease, more etiological factors need to be considered.
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Affiliation(s)
- Cheng Shen
- Department of Thoracic Surgery, West-China Hospital, Sichuan University, Chengdu 610041, China
| | - Guowei Che
- Department of Thoracic Surgery, West-China Hospital, Sichuan University, Chengdu 610041, China
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Abstract
The association between dermatomyositis (DMS) and various types of malignancies has been reported in several studies, with an estimated frequency of 20-25%. DMS may precede, accompany or follow the diagnosis of malignancy. In the present report, we have discussed three cases of dermatomyositis associated with malignancy. In the first case, DMS preceded the diagnosis of gastric adenocarcinoma while in the second and third cases, it followed the diagnosis of ductal carcinoma of the breast and transitional cell carcinoma of the bladder respectively. In all three patients, cutaneous and musculoskeletal features of DMS showed very good response to the treatment, irrespective of the course of malignancy.
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Affiliation(s)
- Swagata A Tambe
- MGM Medical College and Hospital, Kamothe, Navi Mumbai, Maharashtra, India
| | - Hemangi R Jerajani
- MGM Medical College and Hospital, Kamothe, Navi Mumbai, Maharashtra, India
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