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논문 기본 정보

자료유형
학술저널
저자정보
Tong Ren (Department of Obstetrics and Gynecology Peking Un) Jing Suo (Department of Obstetrics and Gynecology The Affiliated Hospital of Inner Mongolia Medical Universit) Shikai Liu (Department of Obstetrics and Gynecology Cangzhou) Shu Wang (Peking University) Shan Shu (Department of Obstetrics and Gynecology Peking Union Medical College Hospital Chinese Academy of M) Yang Xiang (Department of Obstetrics and Gynecology Peking Union Medical College Hospital Chinese Academy of M) Jing-He Lang (Peking Union Medical College Hospital Chinese Academy of Medical Science and Peking Union Medical C)
저널정보
대한부인종양학회 Journal of Gynecologic Oncology Journal of Gynecologic Oncology Vol.29 No.5
발행연도
2018.1
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1 - 12 (12page)

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Objectives: We analyzed the chromosomal-arm-level copy number alterations (CNAs) in the cervical exfoliative cell and tissue samples by using the low-coverage whole genomic sequencing technique. Methods: In this study, we retrospectively collected 55 archived exfoliated cervical cell suspension samples and the corresponding formalin-fixed and paraffin-embedded tissue section samples including 27 invasive cervical cancer and 28 control cases. We also collected 19 samples of the cervical exfoliative cells randomly from women to verify the new algorithm model. We analyzed the CNAs in cervical exfoliated cell and tissue samples by using the low-coverage next generation of sequencing. Results: In the model-building study, multiple chromosomal-arm-level CNAs were detected in both cervical exfoliated cell and tissue samples of all cervical cancer cases. By analyzing the consistency of CNAs between exfoliated cells and cervical tissue samples, as well as the heterogeneity in individual patient, we also established a C-score algorithm model according to the chromosomal-arm-level changes of 1q, 2q, 3p, 7q. The C-score model was then validated by the pathological diagnosis of all 74 exfoliated cell samples (including 55 cases in model-building group and 19 cases in verification group). In our result, a cutoff value of C-score >6 showed 100% sensitivity and 100% specificity in the diagnosis of cervical cancer. Conclusion: In this study, we found that CNAs of cervical exfoliated cell samples could robustly distinguish invasive cervical cancer from cancer-free tissues. And we have also developed a C-score algorithm model to process the sequencing data in a more standardized and automated way.

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참고문헌 (22)

참고문헌 신청
Blatt AJ / 2015 / Comparison of cervical cancer screening results among 256,648 women in multiple clinical practices / Cancer Cytopathol 123:282~288 Crossref Wright TC / 2015 / Primary cervical cancer screening with human papillomavirus: end of study results from the ATHENA study using HPV as the first-line screening test / Gynecol Oncol 136:189~197 Crossref Melsheimer P / 2004 / DNA aneuploidy and integration of human papillomavirus type 16 e6/e7 oncogenes in intraepithelial neoplasia and invasive squamous cell carcinoma of the cervix uteri / Clin Cancer Res 10:3059~3063 Crossref Bodelon C / 2016 / Chromosomal copy number alterations and HPV integration in cervical precancer and invasive cancer / Carcinogenesis 37:188~196 Crossref Kader T / 2016 / Copy number analysis by low coverage whole genome sequencing using ultra low-input DNA from formalin-fixed paraffin embedded tumor tissue / Genome Med 8:121 Crossref

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