A screening method for gastric cancer by oral microbiome detection
Gastric cancer is the second most common malig-nancy and one of the principal causes of cancer‑related mortality worldwide. Early diagnostic and screening methods for gastric cancer are limited at present, most of them involving invasive procedures. We aimed to investigate the characteristics of the...
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Published in | Oncology reports Vol. 39; no. 5; pp. 2217 - 2224 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Spandidos Publications
01.05.2018
Spandidos Publications UK Ltd |
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Abstract | Gastric cancer is the second most common malig-nancy and one of the principal causes of cancer‑related mortality worldwide. Early diagnostic and screening methods for gastric cancer are limited at present, most of them involving invasive procedures. We aimed to investigate the characteristics of the oral microbiome in gastric cancer individuals and to conduct a screening method for gastric cancer by oral microbiome detection. We used high‑throughput sequencing to examine the total bacterial profile of saliva and plaque samples of 50 subjects, including 37 individuals with gastric cancer and 13 controls. The Venn diagram and species abundance clusters were generated from the data. The results indicated that the oral bacteria were more complex in patients with gastric cancer. Based on the characteristics of the oral microbiome in individuals with gastric cancer, a scoring system was designed to screen gastric cancer. In the present study, 36 out of 37 individuals in the gastric cancer group were identified as a high‑risk population, giving a sensitivity rate of 97%. One out of 13 individuals in the control group was identified as a high‑risk population, providing a false-positive rate of 7.7%. The scoring system we designed may be a potential method for screening suspected gastric cancer patients by oral microbiome detection. Further calibration of this scoring system is needed by recruiting a larger study population. |
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AbstractList | Gastric cancer is the second most common malig-nancy and one of the principal causes of cancer‑related mortality worldwide. Early diagnostic and screening methods for gastric cancer are limited at present, most of them involving invasive procedures. We aimed to investigate the characteristics of the oral microbiome in gastric cancer individuals and to conduct a screening method for gastric cancer by oral microbiome detection. We used high‑throughput sequencing to examine the total bacterial profile of saliva and plaque samples of 50 subjects, including 37 individuals with gastric cancer and 13 controls. The Venn diagram and species abundance clusters were generated from the data. The results indicated that the oral bacteria were more complex in patients with gastric cancer. Based on the characteristics of the oral microbiome in individuals with gastric cancer, a scoring system was designed to screen gastric cancer. In the present study, 36 out of 37 individuals in the gastric cancer group were identified as a high‑risk population, giving a sensitivity rate of 97%. One out of 13 individuals in the control group was identified as a high‑risk population, providing a false-positive rate of 7.7%. The scoring system we designed may be a potential method for screening suspected gastric cancer patients by oral microbiome detection. Further calibration of this scoring system is needed by recruiting a larger study population.Gastric cancer is the second most common malig-nancy and one of the principal causes of cancer‑related mortality worldwide. Early diagnostic and screening methods for gastric cancer are limited at present, most of them involving invasive procedures. We aimed to investigate the characteristics of the oral microbiome in gastric cancer individuals and to conduct a screening method for gastric cancer by oral microbiome detection. We used high‑throughput sequencing to examine the total bacterial profile of saliva and plaque samples of 50 subjects, including 37 individuals with gastric cancer and 13 controls. The Venn diagram and species abundance clusters were generated from the data. The results indicated that the oral bacteria were more complex in patients with gastric cancer. Based on the characteristics of the oral microbiome in individuals with gastric cancer, a scoring system was designed to screen gastric cancer. In the present study, 36 out of 37 individuals in the gastric cancer group were identified as a high‑risk population, giving a sensitivity rate of 97%. One out of 13 individuals in the control group was identified as a high‑risk population, providing a false-positive rate of 7.7%. The scoring system we designed may be a potential method for screening suspected gastric cancer patients by oral microbiome detection. Further calibration of this scoring system is needed by recruiting a larger study population. Gastric cancer is the second most common malignancy and one of the principal causes of cancer-related mortality worldwide. Early diagnostic and screening methods for gastric cancer are limited at present, most of them involving invasive procedures. We aimed to investigate the characteristics of the oral microbiome in gastric cancer individuals and to conduct a screening method for gastric cancer by oral microbiome detection. We used high-throughput sequencing to examine the total bacterial profile of saliva and plaque samples of 50 subjects, including 37 individuals with gastric cancer and 13 controls. The Venn diagram and species abundance clusters were generated from the data. The results indicated that the oral bacteria were more complex in patients with gastric cancer. Based on the characteristics of the oral microbiome in individuals with gastric cancer, a scoring system was designed to screen gastric cancer. In the present study, 36 out of 37 individuals in the gastric cancer group were identified as a high-risk population, giving a sensitivity rate of 97%. One out of 13 individuals in the control group was identified as a high-risk population, providing a false-positive rate of 7.7%. The scoring system we designed may be a potential method for screening suspected gastric cancer patients by oral microbiome detection. Further calibration of this scoring system is needed by recruiting a larger study population. Gastric cancer is the second most common malig-nancy and one of the principal causes of cancer‑related mortality worldwide. Early diagnostic and screening methods for gastric cancer are limited at present, most of them involving invasive procedures. We aimed to investigate the characteristics of the oral microbiome in gastric cancer individuals and to conduct a screening method for gastric cancer by oral microbiome detection. We used high‑throughput sequencing to examine the total bacterial profile of saliva and plaque samples of 50 subjects, including 37 individuals with gastric cancer and 13 controls. The Venn diagram and species abundance clusters were generated from the data. The results indicated that the oral bacteria were more complex in patients with gastric cancer. Based on the characteristics of the oral microbiome in individuals with gastric cancer, a scoring system was designed to screen gastric cancer. In the present study, 36 out of 37 individuals in the gastric cancer group were identified as a high‑risk population, giving a sensitivity rate of 97%. One out of 13 individuals in the control group was identified as a high‑risk population, providing a false-positive rate of 7.7%. The scoring system we designed may be a potential method for screening suspected gastric cancer patients by oral microbiome detection. Further calibration of this scoring system is needed by recruiting a larger study population. |
Audience | Academic |
Author | Sun, Jing‑Hua Yin, Jie Zhang, Zhongtao Li, Xiao‑Lin Li, Yi‑Hong Hou, Ben‑Xiang |
Author_xml | – sequence: 1 givenname: Jing‑Hua surname: Sun fullname: Sun, Jing‑Hua organization: Department of Endodontics, Beijing Stomatological Hospital, Capital Medical University, Beijing 100050, P.R. China – sequence: 2 givenname: Xiao‑Lin surname: Li fullname: Li, Xiao‑Lin organization: Experimental Center, Annoroad Gene Technology (Beijing) Co., Ltd., Beijing 101100, P.R. China – sequence: 3 givenname: Jie surname: Yin fullname: Yin, Jie organization: Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing 100050, P.R. China – sequence: 4 givenname: Yi‑Hong surname: Li fullname: Li, Yi‑Hong organization: Department of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, NY 10010, USA – sequence: 5 givenname: Ben‑Xiang surname: Hou fullname: Hou, Ben‑Xiang organization: Department of Endodontics, Beijing Stomatological Hospital, Capital Medical University, Beijing 100050, P.R. China – sequence: 6 givenname: Zhongtao surname: Zhang fullname: Zhang, Zhongtao organization: Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing 100050, P.R. China |
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Copyright | COPYRIGHT 2018 Spandidos Publications Copyright Spandidos Publications UK Ltd. 2018 |
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Snippet | Gastric cancer is the second most common malig-nancy and one of the principal causes of cancer‑related mortality worldwide. Early diagnostic and screening... Gastric cancer is the second most common malignancy and one of the principal causes of cancer-related mortality worldwide. Early diagnostic and screening... |
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SubjectTerms | Adult Aged Bacteria Bacteria - classification Bacteria - genetics Bacterial infections Biopsy Campylobacter Care and treatment Dental Plaque - microbiology Deoxyribonucleic acid Diagnosis Disease DNA Early Detection of Cancer - methods Endoscopy Ethics Female Gastric cancer Gastroesophageal reflux Health aspects High-Throughput Nucleotide Sequencing Hospitals Host-bacteria relationships Humans Identification and classification Male Medical screening Microbiota (Symbiotic organisms) Microorganisms Middle Aged Mortality Pathogenesis Patients Phylogeny Population RNA, Ribosomal, 16S - genetics Saliva - microbiology Sample size Sensitivity and Specificity Sequence Analysis, DNA Statistical analysis Stomach cancer Stomach Neoplasms - diagnosis Stomach Neoplasms - microbiology Teeth |
Title | A screening method for gastric cancer by oral microbiome detection |
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