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.
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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.
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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
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.
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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
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.