Application of molecular genetic methods for the diagnosis and prediction of severe dysplasia and cervical cancer

2021 ◽  
Vol 10_2021 ◽  
pp. 85-92
Author(s):  
Burmenskaya O.V. Burmenskaya ◽  
Nazarova N.M. Nazarova ◽  
Cysheva E.G. Cysheva ◽  
Prilepskaya V.N. Prilepskaya V ◽  
Trofimov D.Yu. Trofimov ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Molecular Genetic ◽  
Severe Dysplasia

scholarly journals Immunological study of cervical biopsy specimen for human papiloma virus

2014 ◽  
Vol 2 (3) ◽  
pp. 145-148
Author(s):  
Surya Prabha V ◽  
Kanaka Bushanam GVVS ◽  
Sakuntaladevi G ◽  
Dharani Priya B
Keyword(s):  
Cervical Cancer ◽  
General Hospital ◽  
Pap Smear ◽  
Squamous Metaplasia ◽  
Pap Test ◽  
Cervical Cancer Prevention ◽  
Severe Dysplasia ◽  
Immunological Study ◽  
Cervical Biopsy ◽  
Visakhapatnam District

Background: Cervical cancer is one of the most common cancers among women worldwide and its rates are higher in low and middle income countries. India is one not exemplified from the developing countries. Aims: The main aim of the present work is a preliminary prospective screening study to observe the incidence of human papilloma virus (HPV) virus in the specimens of cervical biopsy taken from the patients of gynecology department of Visakha Steel General Hospital, RINL, Visakhapatnam district. Screening procedures like Pap smear, Colposcopy Immunohistochemistry (IHC) were done to identify the prevalence of HPV. It is an effort to assess and also improving the quality of cervical cancer prevention and treatment services in Visakhapatnam district of North coastal Andhra Pradesh. Settings and design: This prospective study was conducted at the department of obstetrics and gynaecology, Visakha Steel General Hospital, RINL, Visakhapatnam district from January 2010 to December 2010. Materials and methods: The Pap test and colposcopic examination were conducted on 161 patients and IHC was done on 24 cervical biopsy patients. Results: The 87.58% of women was observed with abnormal Pap smear among that the severe dysplasia is around 10%. The abnormal cervix was seen by colposcopy is 89.44%. The 24 squamous metaplasia cases were subjected to IHC and 8 cases were found to be positive. Conclusion: Pap smear, colposcopy along with cervical biopsy for HPV can provide enough information for an accurate diagnosis of cervical cancer and also from the future course of action for the treatment of the patients.

scholarly journals Molecular Genetic Diagnostic Strategy to Help Clinicians to a Better Assessment of the Heaviness of a Human Papilloma Virus (HPV) Infection

2011 ◽  
Vol 4 ◽  
pp. IDRT.S6646
Author(s):  
Florian Heirler ◽  
Emanuel Ždárský ◽  
Ricardo Borelli ◽  
Hans Jürgen Heppner
Keyword(s):  
Cervical Cancer ◽  
Screening Program ◽  
Molecular Genetic ◽  
Lymphocyte Transformation ◽  
Developed Countries ◽  
Hpv Infection ◽  
Cancer Development ◽  
Carrier Status ◽  
Diagnostic Strategy ◽  
Cytological Examination

Since the introduction of a cytology-based screening program for cervical cancer in developed countries a dramatic reduction of specific morbidity and mortality has been reported. In addition to this in 1972 zur Hausen proposed HPV as a causal factor of cervical cancer. About 15 viral subtypes have been identified: the so called high-risk subtypes for cancer development. Despite this the clinical use of subtype identification in a prevention strategy has not substantially been reported. Simple identification of HPV carrier status cannot reliably be used as a prognostic factor for cervical cancer development nor as a useful alternative to cytological examination. Therefore we are establishing a link between the classical cytological examination and the techniques of molecular biology. Our strategy detects HPV in a semi-quantitative way as well as the E7-m-RNA activity and T-lymphocyte-transformation in order to better calculate how serious an infection is, how active the virus and how active the defense reaction is.

scholarly journals Correlation of DNA Ploidy with Progression of Cervical Cancer

2008 ◽  
Vol 2008 ◽  
pp. 1-7 ◽  
Author(s):  
M. Singh ◽  
S. Mehrotra ◽  
N. Kalra ◽  
U. Singh ◽  
Y. Shukla
Keyword(s):  
Cervical Cancer ◽  
Flow Cytometry ◽  
Squamous Cell ◽  
Dna Ploidy ◽  
Flow Cytometric Analysis ◽  
Biological Behavior ◽  
Dna Flow Cytometry ◽  
High Risk Population ◽  
Severe Dysplasia ◽  
Cervical Smear

The majority of squamous cell carcinomas of cervix are preceded by visible changes in the cervix, most often detected by cervical smear. As cervical cancer is preceded by long precancerous stages, identification of the high-risk population through detection of DNA ploidy may be of importance in effective management of this disease. Here we attempted to correlate aneuploid DNA patterns and their influence on biological behavior of flow-cytometry analysis of DNA ploidy which was carried out in cytologically diagnosed cases of mild (79), moderate (36), and severe (12) dysplasia, as well as “atypical squamous cells of unknown significance (ASCUS)” (57) along with controls (69), in order to understand its importance in malignant progression of disease. Cytologically diagnosed dysplasias, which were employed for DNA ploidy studies, 39 mild, 28 moderate, and 11 severe dysplasia cases were found to be aneuploid. Out of the 69 control subjects, 6 cases showed aneuploidy pattern and the rest 63 subjects were diploid. An aneuploidy pattern was observed in 8 out of 57 cases of cytologically evaluated ASCUS. The results of the followup studies showed that aberrant DNA content reliably predicts the occurrence of squamous cell carcinoma in cervical smear. Flow cytometric analysis of DNA ploidy may provide a strategic diagnostic tool for early detection of carcinoma cervix. Therefore, it is a concept of an HPV screening with reflex cytology in combination with DNA flow cytometry to detect progressive lesions with the greatest possible sensitivity and specificity.

Genetic variability of the HPV16 early genes and LCR. Present and future perspectives

2021 ◽  
Vol 23 ◽  
Author(s):  
G. Bletsa ◽  
F. Zagouri ◽  
G. D. Amoutzias ◽  
M. Nikolaidis ◽  
E. Zografos ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Invasive Cervical Cancer ◽  
Cervical Dysplasia ◽  
Long Control Region ◽  
Severe Dysplasia ◽  
Human Papillomavirus 16 ◽  
Early Genes ◽  
Cervical Cancer Risk ◽  
Increased Risk ◽  
Intraepithelial Lesions

Abstract Human papillomavirus 16 (HPV16) infection is the aetiologic factor for the development of cervical dysplasia and is regarded as highly carcinogen, because it is implicated in more than 50% of cervical cancer cases, worldwide. The tumourigenic potential of HPV16 has triggered the extensive sequence analysis of viral genome in order to identify nucleotide variations and amino acid substitutions that influence viral oncogenicity and subsequently the initiation and progression of cervical cancer. Nowadays, specific mutations of HPV16 DNA have been associated with an increased risk of high-grade squamous intraepithelial lesions and invasive cervical cancer (ICC) development, including E6 : Q14H, H78Y, L83V, Ε7 : N29S, S63F, E2 : H35Q, P219S, T310K, E5 : I65V, whereas highly conserved regions of viral DNA have been extensively characterised. In addition, numerous novel HPV16 mutations are observed among the studied populations from various geographic regions, hence advocating that different HPV16 strains seem to emerge with different tumourigenic capacities. The present review focuses on the variability of the early genes and the long control region, emphasising on the association of specific mutations with the development of severe dysplasia. Finally, it evaluates whether specific regions of HPV16 DNA are able to serve as valuable biomarkers for cervical cancer risk.

Biomarkers of cervicovaginal fluid for the diagnosis of cervical diseases associated with human papilloma virus (literature review)

GYNECOLOGY ◽  
2020 ◽  
Vol 21 (6) ◽  
pp. 6-11
Author(s):  
Vera N. Prilepskaya ◽  
Anna N. Mheryan ◽  
Aida S. Akopian ◽  
Niso M. Nazarova ◽  
Elmira R. Dovletkhanova ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Molecular Genetic ◽  
Intraepithelial Neoplasia ◽  
Pathological Process ◽  
Diagnostic Systems ◽  
Neoplastic Processes ◽  
Genital Tract Infections ◽  
Tract Infections ◽  
Cervical Diseases ◽  
Cervicovaginal Fluid

Human papillomavirus (HPV) is one of the main pathogens of genital tract infections, which can lead to malignant transformation of cells of the cervix, vagina, vulva and anus. Approximately 90% of cervical intraepithelial neoplasia cases and 99% of cervical cancer cases occur in HPV-positive patients. However, the presence of HPV in the patients body can not be considered as a marker of progression or regression of the pathological process. The need to determine further tactics of examination and management of women with HPV-associated diseases of the cervix States the search for molecular genetic markers of neoplastic transformation in order to predict the risk of cervical neoplasia and cervical cancer. Diagnostic systems based on determination of biomarkers in cervicovaginal fluid (CVJ) can become convenient for application in clinical practice. The panel of CVJ proteins allows to make the exact characteristic of a condition of bodies of female reproductive system, including at neoplastic processes of a cervix of a uterus. The biomarkers identified in the CVJ can be used as informative tests to improve the accuracy of diagnosis of pathological changes in the cervix and to determine the risk criteria for the development of malignancy.

scholarly journals HPV Status and Individual Characteristics of Human Papillomavirus Infection as Predictors for Clinical Outcome of Locally Advanced Cervical Cancer

2021 ◽  
Vol 11 (6) ◽  
pp. 479
Author(s):  
Liana Mkrtchian ◽  
Irina Zamulaeva ◽  
Liudmila Krikunova ◽  
Valentina Kiseleva ◽  
Olga Matchuk ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Human Papillomavirus ◽  
Clinical Outcome ◽  
Molecular Genetic ◽  
Locally Advanced ◽  
Prognostic Significance ◽  
Individual Characteristics ◽  
Advanced Cervical Cancer ◽  
Locally Advanced Cervical Cancer ◽  
Hpv Status

This study is aimed at searching for an informative predictor of the clinical outcome of cervical cancer (CC) patients. The study included 135 patients with locally advanced cervical cancer (FIGO stage II–III) associated with human papillomavirus (HPV) 16/18 types or negative status of HPV infection. Using logistic regression, we analyzed the influence of the treatment method, clinical and morphological characteristics, and the molecular genetic parameters of HPV on the disease free survival (DFS) of patients treated with radiotherapy or chemoradiotherapy. Multivariate analysis revealed three factors that have prognostic significance for DFS, i.e., HPV-related biomarker (HPV-negativity or HPV DNA integration into the cell genome) (OR = 9.67, p = 1.2 × 10−4), stage of the disease (OR = 4.69, p = 0.001) and age (OR = 0.61, p = 0.025). The predictive model has a high statistical significance (p = 5.0 × 10−8; Nagelkirk’s R2 = 0.336), as well as sensitivity (Se = 0.74) and specificity (Sp = 0.75). Thus, simultaneous accounting for the clinical and molecular genetic predictors (stage of the disease, patient age and HPV-related biomarker) makes it possible to effectively differentiate patients with prognostically favorable and unfavorable outcome of the disease.

scholarly journals Classification of Pap smear images for Cervical cancer using Convolutional Neural Network

2019 ◽  
Vol 9 (1) ◽  
pp. 2801-2807
Keyword(s):  
Neural Network ◽  
Cervical Cancer ◽  
Convolutional Neural Network ◽  
Pap Smear ◽  
Severe Dysplasia ◽  
Normal Cells ◽  
Second Stage ◽  
Two Stages ◽  
Cancerous Cells

Classification of Pap smear images for cervical cancer consists of two types namely, normal and abnormal cancerous cells. The dataset involves 7 sets of classes of cancerous images which have 3 sets of normal cancerous images and 4 sets of abnormal cancerous images. The proposed work performs two stages of classification. The first stage of the work is classifying the data as normal or abnormal cancerous cells. In the second stage of the work, the class of the cancer as normal columnar, normal intermediate, normal superficial, light dysplasia, moderate dysplasia, severe dysplasia and carcinoma_in_situ are classified. The proposed work gives good results for classifying images for 3 sets of classes and 4 sets of classes for normal cells and is able to classify and detect normal and abnormal cell accurately.

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