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4 "Oligonucleotide array sequence analysis"
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Original Articles
Comparison of Analytical and Clinical Performance of HPV 9G DNA Chip, PANArray HPV Genotyping Chip, and Hybrid-Capture II Assay in Cervicovaginal Swabs
Ho Young Jung, Hye Seung Han, Hyo Bin Kim, Seo Young Oh, Sun-Joo Lee, Wook Youn Kim
J Pathol Transl Med. 2016;50(2):138-146.   Published online January 13, 2016
DOI: https://doi.org/10.4132/jptm.2015.10.21
  • 7,976 View
  • 67 Download
  • 4 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Background
Human papillomavirus (HPV) infection can be detected by using several molecular methods, including Hybrid-Capture II (HC2) assay and variable HPV DNA chip tests, although each method has different sensitivities and specificities. Methods: We performed HPV 9G DNA Chip (9G) and PANArray HPV Genotyping Chip (PANArray) tests on 118 cervicovaginal swabs and compared the results with HC2, cytology, histology, and direct sequencing results. Results: The overall and high-risk HPV (HR-HPV) positivity rates were 62.7% and 44.9% using 9G, and 61.0% and 30.5% using PANArray, respectively. The positivity rates for HR-HPV with these two chips were significantly lower than 55.1% when HC2 was used. The sensitivity of overall HPV positivity in detecting histologically confirmed low-grade cervical squamous intraepithelial lesions or higher was 88.7% for all three tests. The specificity was 58.5% for 9G and 61.5% for PANArray, which was significantly lower than the 72.3% for HC2. With the HR-HPV+ genotype threshold, the sensitivity decreased to 75.5% for 9G and 52.8% for PANArray, which was significantly lower than the 88.7% for HC2. Comparison of the two chips showed concordant results in 55.1% of the samples, compatible results in 16.9%, and discordant results in 28.0%, exhibiting poor agreement in detecting  certain HPV genotypes. Compared with direct sequencing, 9G yielded no discordant results, whereas PANArray yielded 31 discordant results (26.7%). Conclusions: Compared with HC2, the HPV genotyping tests showed lower sensitivity in histologic correlation. When the two chips were compared, the 9G was more sensitive and accurate for detecting HR-HPV than the PANArray.

Citations

Citations to this article as recorded by  
  • Concordance of Anyplex™ II HPV HR assays with reference HPV assays in cervical cancer screening: Systematic review
    Habtamu Biazin
    Journal of Virological Methods.2022; 301: 114435.     CrossRef
  • The clinical performance of human papillomavirus genotyping using PANArray HPV chip: Comparison to ThinPrep cytology alone and co-testing
    Jiyoung Kim, Sun-Young Jun, Lee-So Maeng
    Pathology - Research and Practice.2020; 216(9): 153121.     CrossRef
  • Analytic performance of PANArray HPV and HPV 9G DNA chip tests for genotyping of high-risk human papillomavirus in cervical ThinPrep PreservCyt samples
    Jiyoung Kim, Sun-Young Jun, Magdalena Grce
    PLOS ONE.2019; 14(10): e0224483.     CrossRef
Gene Expression Profiles of Uterine Normal Myometrium and Leiomyoma and Their Estrogen Responsiveness In Vitro.
Eun Ju Lee, Prati Bajracharya, Dong Mok Lee, Kyung Hyun Cho, Keuk Jun Kim, Young Kyung Bae, Mi Jin Kim, Ki Ho Lee, Hang Jin Kim, Gun Ho Song, Sang Sik Chun, Inho Choi
Korean J Pathol. 2010;44(3):272-283.
DOI: https://doi.org/10.4132/KoreanJPathol.2010.44.3.272
  • 3,970 View
  • 40 Download
  • 3 Crossref
AbstractAbstract PDF
BACKGROUND
Uterine leiomyomas are common benign smooth muscle tumors among the reproductive aged-women. The research has been aimed to identify the differentially expressed genes between normal myometrium and leiomyoma and to investigate the effects of E2 on their expression.
METHODS
Gene microarray analysis was performed to identify the differentially expressed genes between normal myomerium and leiomyoma. The data was confirmed at protein level by tissue microarray.
RESULTS
Gene microarray analysis revealed 792 upregulated genes in leiomyoma. Four genes (tropomyosin 4 [TPM4], collagen, type IV, alpha 2 [COL4alpha2], insulin-like growth factor binding protein 5 [IGFBP5], tripartite motif-containing 28 [TRIM28]) showed the most dramatic upregulation in all leiomyoma samples. Tissue microarray analyses of 262 sample pairs showed significantly elevated expression of TPM4, IGFBP5, estrogen receptor-alpha, and progesterone receptor (PR) protein in leiomyoma from the patients in their forties, COL4alpha2 in the forties and fifties age-groups, and TRIM28 in the thirties age-group. PR, insulin-like growth factor 1 (IGF-1), IGF-1 receptor (IGF-1R) and IGFBP5 were induced by E2 in in vitro culture of tissue explants from which cells migrated throughout the plate. Among these, PR, IGF-1, IGFBP5 genes showed higher expression in tissue compared to cells-derived from tissue in leiomyoma and IGF-1R in leiomyoma cell.
CONCLUSIONS
This observation implies the importance of the whole tissue context including the cells-derived from tissue in the research for the understanding of molecular mechanism of leiomyoma. Here, we report higher expression of TRIM28 in leiomyoma for the first time and identify E2-responsive genes that may have important roles in leiomyoma development.

Citations

Citations to this article as recorded by  
  • In vivo mechanisms of uterine myoma volume reduction with ulipristal acetate treatment
    Guillaume E. Courtoy, Jacques Donnez, Etienne Marbaix, Marie-Madeleine Dolmans
    Fertility and Sterility.2015; 104(2): 426.     CrossRef
  • Common fibroid-associated genes are differentially expressed in phenotypically dissimilar cell populations isolated from within human fibroids and myometrium
    Sarah J Holdsworth-Carson, Marina Zaitseva, Jane E Girling, Beverley J Vollenhoven, Peter A W Rogers
    REPRODUCTION.2014; 147(5): 683.     CrossRef
  • Complex networks of multiple factors in the pathogenesis of uterine leiomyoma
    Md Soriful Islam, Olga Protic, Piergiorgio Stortoni, Gianluca Grechi, Pasquale Lamanna, Felice Petraglia, Mario Castellucci, Pasquapina Ciarmela
    Fertility and Sterility.2013; 100(1): 178.     CrossRef
The Analysis and Clinical Usefulness of HPV DNA Chip Test in the Uterine Cervix.
Joo hyeon Jeong, Hyun Yee Cho, Na Rae Kim, Dong Hae Chung, Sanghui Park, Seung Yeon Ha
Korean J Pathol. 2010;44(1):77-82.
DOI: https://doi.org/10.4132/KoreanJPathol.2010.44.1.77
  • 3,396 View
  • 27 Download
  • 3 Crossref
AbstractAbstract PDF
BACKGROUND
The genotypes of human papillomavirus (HPV) are important in carcinogenesis in uterine cervical cancer and may be different in geographic distribution.
METHODS
In 2,086 women, we analyzed the prevalence of HPV and HPV genotypes in uterine cervix by HPV-DNA chip test (n = 2,086), cytology (PAP smear, n = 1997) and biopsy (n = 546).
RESULTS
Of the 2,086 cases, 1,019 cases (48.8%) were HPV-positive and 1,067 cases (51.2%) were negative for HPV. Single infection occurred most commonly (72.1% of women). HPV genotypes in the high-risk and low-risk groups, respectively were HPV-16/-58/-18/-52/-53 and HPV-70/-6/-11. The detection rates of HPV-70 in subjects older than 50 years increased significantly (p < 0.05). Infection in high risk subjects was detected in high grade lesions compared with infection in low risk subjects (p < 0.05).
CONCLUSIONS
HPV-16/-58/-18/-52/-53/-70/-6/-11 genotypes were common in the patient group similar to findings in East Asia. HPV-70 infection is predominant in those older than 40 years.

Citations

Citations to this article as recorded by  
  • Current Status of and Perspectives on Cervical Cancer Screening in Korea
    Sung-Chul Lim, Chong Woo Yoo
    Journal of Pathology and Translational Medicine.2019; 53(4): 210.     CrossRef
  • Cervical cytology of atypical squamous cells, cannot exclude high-grade squamous intra-epithelial lesion: significance of age, human papillomavirus DNA detection and previous abnormal cytology on follow-up outcomes
    Chang Ohk Sung, Young Lyun Oh, Sang Yong Song
    European Journal of Obstetrics & Gynecology and Reproductive Biology.2011; 159(1): 155.     CrossRef
  • Cytomorphologic Features According to HPV DNA Type in Histologically Proven Cases of the Uterine Cervix
    In Ho Choi, So-Young Jin, Dong Wha Lee, Dong Won Kim, Yoon Mi Jeen
    The Korean Journal of Pathology.2011; 45(6): 612.     CrossRef
Molecular Subtypes of Primary Glioblastoma Identified by Gene Expression Profiling.
Ghee Young Choe, S Mischel Paul
Korean J Pathol. 2002;36(5):328-337.
  • 1,498 View
  • 13 Download
AbstractAbstract PDF
BACKGROUND
The over-expression of the epidermal growth factor receptor (EGFR) occurs in nearly 50% of primary glioblastoma multiforme (GBM). Disruption of multiple signaling pathways is a critical factor in regulating the biological and clinical behavior of GBMs. In the future, therapy that specifically targets these disrupted pathways may represent the best potential treatment for patients with GBM. Large scale gene expression profiling provides a powerful approach to identify these disrupted genetic pathways and to uncover previously unknown molecular subtypes.
METHODS
We used 13 cases of primary GBM biopsy samples obtained from untreated patients and Affymetrix high-density oligonucleotide arrays to identify novel subsets of primary GBMs.
RESULTS
We showed that the expression of 90 genes differentiate EGFR+ from EGFR non-expressing (EGFR-) de novo GBMs, including expression of a number of potentially targetable molecules that act as growth/survival factors for GBMs. We also demonstrated the presence of two additional molecular subtypes of primary GBMs, including one characterized by the coordinate upregulation of contiguous genes on chromosome 12q13-15, which has a distinct global gene expression profile and expresses both astrocytic and oligodendroglial genes.
CONCLUSION
We have shown that there are EGFR+ primary GBMs, GBMs with coordinate upregulation of genes on chromosome 12q13-15, and primary GBMs lacking either alteration. Moreover, they have distinct transcriptional profiles. Our findings strongly suggest that the three GBMs are biologically different tumor types, despite their identical microscopic appearance, and provide an important first step in developing a molecular taxonomy of GBMs.

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