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Dried human cervico vagnial fluid on FTA-cards LC-MS/MS

ABSTRACT: Cervical cancer is the fourth most common cancer among women worldwide and screening pro-grams increase detection rate and survivability. Molecular screening of presence of human papil-loma viruses (HPV) as alternatives to physical examinations offers cost-efficient solutions and can be performed on self-collected samples. A persistent infection with HPV is necessary but not sufficient to develop cancer and additional biomarkers are needed to increase the precision. We have analyzed protein biomarkers found in self-collected dried cervico-vaginal fluid (CVF) from both controls and women with cervical cancer pre-stages.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cervicovaginal Fluid

DISEASE(S): Cervical Cancer

SUBMITTER: Yvonne Kallberg

LAB HEAD: Jonas Bergquist

PROVIDER: PXD026064 | Pride | 2022-02-17

REPOSITORIES: Pride

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	MS-18-052b-1.raw	Raw
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Publications

Identification of Candidate Protein Biomarkers for CIN2+ Lesions from Self-Sampled, Dried Cervico-Vaginal Fluid Using LC-MS/MS.

Gutiérrez Ariadna Lara AL Lindberg Julia Hedlund JH Shevchenko Ganna G Gustavsson Inger I Bergquist Jonas J Gyllensten Ulf U Enroth Stefan S

Cancers 20210525 11

Molecular screening programs for cervical cancer detect the presence of human papilloma virus (HPV) in cell material or vaginal fluids. Persistent infection with high-risk HPV is a necessary pre-requisite, but the majority of infections do not lead to pathological states. Additional biomarkers are needed to increase the specificity of the molecular tests. Here, we have investigated the possibility of detecting protein biomarkers using mass spectrometry from dried self-sampled cervico-vaginal flu ...[more]

PMID: 34070587

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Quantitative proteomic analysis of tumour tissues isolated from early and late stage human cervical cancer patients

Project description:Human papillomavirus (HPV) infection related malignancy remains a severe public health problem worldwide, although HPV prophylactic vaccine has been introduced 15 years ago . HPV-associated cancers comprise 29.1% of all 2.2 million infection-related cancers, including nearly 100% of cervical cancers1 and some head and neck cancers . Cervical cancers are the 3rd most common cancer in women worldwide, HPV16 and 18 account for about 70% of cervical cancers. Moreover, high-risk HPV infection, especially HPV16 infection, is related to a proportion of head and neck epithelial carcinoma in both developed and undeveloped countries. HPV related cancers are most severe in developing countries where HPV prophylactic vaccination rates are low.In this project, we use iTRAQ8plex-labelling proteomics to comparatively study the protein contents in the tumour tissues of early and late stage cervical cancer patietns.

2023-01-26 | PXD029103 | Pride

TMEM45A, SERPINB5 and p16INK4A transcript levels are predictive for development of high-grade cervical lesions

Project description:Women persistently infected with human papillomavirus (HPV) type 16 are at high risk for development of cervical intraepithelial neoplasia grade 3 or cervical cancer (CIN3+). We aimed to identify biomarkers for progression to CIN3+ in women with persistent HPV16 infection. In this prospective study, 11,088 women aged 20â29 years were enrolled during 1991-1993, and re-invited for a second visit two years later. Cervical cytology samples obtained at both visits were tested for HPV DNA by Hybrid Capture 2 (HC2), and HC2-positive samples were genotyped by INNO-LiPA. The cohort was followed for up to 19 years via a national pathology register. To identify markers for progression to CIN3+, we performed microarray analysis on RNA extracted from cervical swabs of 30 women with persistent HPV16-infection and 11 HPV-negative women. After further validation, we found that high mRNA expression levels of TMEM45A, SERPINB5 and p16INK4a were associated with increased risk of CIN3+ in persistently HPV16-infected women. We aimed at identifying genes differentially expressed in women with persistent HPV16 infection that either progressed to CIN3+ or not. As a test of principle we first compared HPV16 persistently infected women with HPV-negative women.

2016-07-03 | E-GEOD-75132 | biostudies-arrayexpress

BIGenomics_hpv_Agilent

Project description:Human papillomavirus infection is the cause of essentially all cases of cervical premalignant lesions and cervical cancer. Primary screening using HPV DNA testing with cytology triage has been shown to be more sensitive and, importantly, more specific than conventional testing based on cytology among women more than 35 years of age. <br><br><br><br>The aim of the experiment was to evaluate a HPV genotyping microarray method using patient sample DNA. HPV genotyping is based on multiplex PCR (PGMY-t primers) followed by ligation step where two probes are ligated together if a matching template is present in the mixture. The ligated probes are then detected on microarray.

2011-12-10 | E-MEXP-3466 | biostudies-arrayexpress

TMEM45A, SERPINB5 and p16INK4A transcript levels are predictive for development of high-grade cervical lesions

Project description:Women persistently infected with human papillomavirus (HPV) type 16 are at high risk for development of cervical intraepithelial neoplasia grade 3 or cervical cancer (CIN3+). We aimed to identify biomarkers for progression to CIN3+ in women with persistent HPV16 infection. In this prospective study, 11,088 women aged 20–29 years were enrolled during 1991-1993, and re-invited for a second visit two years later. Cervical cytology samples obtained at both visits were tested for HPV DNA by Hybrid Capture 2 (HC2), and HC2-positive samples were genotyped by INNO-LiPA. The cohort was followed for up to 19 years via a national pathology register. To identify markers for progression to CIN3+, we performed microarray analysis on RNA extracted from cervical swabs of 30 women with persistent HPV16-infection and 11 HPV-negative women. After further validation, we found that high mRNA expression levels of TMEM45A, SERPINB5 and p16INK4a were associated with increased risk of CIN3+ in persistently HPV16-infected women.

2016-01-01 | GSE75132 | GEO

human plasma sample parallel reaction monitoring

Project description:Women are vulnerable to cervical diseases including normal control, HSIL and early stage cervical carcinoma . The parallel reaction monitoring mass spectrometry (PRM-MS) were used to qualitatively and quantitatively analyze the candidate differential proteins identified in our previous studies and to link them with HPV status. The integration of HPV status with candidate serum markers is expected to efficiently narrow down the high risk population and provide sufficient clinical information for early diagnosis and effective therapy.

2021-09-09 | PXD022756 | Pride

Genome-wide microRNA profiling of HPV-positive self-samples: Promising triage markers for early detection of cervical cancer

Project description:Offering self-sampling for HPV testing improves the effectiveness of current cervical screening programs. Molecular triage markers directly applicable on self-samples are needed to further stratify HPV-positive women at risk of cervical cancer (so-called triage) and to avoid over-referral and overtreatment. MicroRNAs (miRNAs) deregulation has been implicated in the development of cervical cancer, and represents a potential class of triage markers. However, it is unknown whether deregulated miRNA expression is reflected in self-samples. This study is the first to establish genome-wide miRNA profiles in HPV-positive self-samples to identify miRNAs that can predict the presence of CIN3 and cervical cancer in self-samples. Small RNA sequencing (sRNA-Seq) was conducted to determine genome-wide miRNA expression profiles in 73 HPV-positive self-samples of women with and without cervical precancer (CIN3). The optimal miRNA marker panel for CIN3 detection was determined by GRidge, a penalized method on logistic regression. Classification of sRNA-Seq data yielded a panel of 9 miRNAs with a combined Area Under the Curve (AUC) of 0.89 for CIN3 detection. Six out of nine miRNAs were validated by qPCR in 165 independent HPV-positive self-samples and resulted in a combined AUC of 0.72 for CIN3+ detection. This study shows that deregulated miRNA expression associated with CIN3 and cervical cancer development can be detected in HPV-positive self-samples using genome-wide miRNA profiling. Further validation by qPCR indicates that miRNA expression analysis offers a promising novel molecular triage strategy for CIN3 and cervical cancer detection applicable to self-samples.

2018-01-01 | GSE104758 | GEO

Whole genome tiling path array CGH analysis of segmental copy number alterations in cervical cancer cells

Project description:Cervical cancer is the second most common malignancy in women worldwide, with high risk subtypes of human papillomavirus (HPV) constituting the major etiological agent. However, only a small percentage of women infected by the virus develop disease suggesting that additional host genetic alterations are necessary for disease progression. In this study we examined the genomes of a panel of commonly used model cervical cancer cell lines using a recently developed whole genome tiling path array for CGH analysis. Detailed analysis of genomic profiles enabled the detection of many novel aberrations which may have been missed by conventional cytogenetic methods. In total, 27 minimal regions of recurrent copy number alteration were identified that are potentially involved in tumorigenesis. Interestingly, fine mapping of the 3q gain, which is associated with the progression of precursor lesions to invasive cervical cancer, identified a minimal region of alteration harboring genes distinct from previous candidates. Novel regions of gene amplification, including the co-amplification of both the Birc and MMP gene clusters on 11q22, were also evident. Lastly, characterization of genomic structure at sites of HPV integration identified the copy number gain of host cellular sequences between the viral-host genomic boundaries in both SiHa and SW756, suggesting a direct role for HPV integration in the development of genetic abnormalities that initiate cervical cancer. This work represents the highest resolution look at a cervical cancer genome to date and offers definitive characterization of the alteration status of these cancer genomes. Whole genome tiling path array CGH profiles of 8 Cervical Cancer Cell Lines

2010-07-01 | E-GEOD-5049 | biostudies-arrayexpress

Human cervical cells HELP-tagging cytosine methylation data

Project description:We pursued the hypothesis that epigenetic regulators of transcription are involved in both the development and the progression of HPV-associated CIN. Using HELP-tagging, we performed the most comprehensive study to date of DNA methylation in HPV-associated cervical neoplasia, testing ~2 million loci throughout the human genome in biopsies from 78 HPV+ women, identifying changes starting in early CIN and maintained through carcinogenesis. We identified loci at which DNA methylation is consistently altered, beginning early in the course of neoplastic disease and progressing with disease advancement. DNA methylation profiles for cervical biopsies of 19 normals, 20 CIN1, 16 CIN2/3, and 23 cervical cancers.

2016-08-22 | E-GEOD-76986 | biostudies-arrayexpress

Whole genome tiling path array CGH analysis of segmental copy number alterations in cervical cancer cells

Project description:Cervical cancer is the second most common malignancy in women worldwide, with high risk subtypes of human papillomavirus (HPV) constituting the major etiological agent. However, only a small percentage of women infected by the virus develop disease suggesting that additional host genetic alterations are necessary for disease progression. In this study we examined the genomes of a panel of commonly used model cervical cancer cell lines using a recently developed whole genome tiling path array for CGH analysis. Detailed analysis of genomic profiles enabled the detection of many novel aberrations which may have been missed by conventional cytogenetic methods. In total, 27 minimal regions of recurrent copy number alteration were identified that are potentially involved in tumorigenesis. Interestingly, fine mapping of the 3q gain, which is associated with the progression of precursor lesions to invasive cervical cancer, identified a minimal region of alteration harboring genes distinct from previous candidates. Novel regions of gene amplification, including the co-amplification of both the Birc and MMP gene clusters on 11q22, were also evident. Lastly, characterization of genomic structure at sites of HPV integration identified the copy number gain of host cellular sequences between the viral-host genomic boundaries in both SiHa and SW756, suggesting a direct role for HPV integration in the development of genetic abnormalities that initiate cervical cancer. This work represents the highest resolution look at a cervical cancer genome to date and offers definitive characterization of the alteration status of these cancer genomes. Keywords: array CGH, copy number, cervical cancer, genetic alterations, HPV integration, 3q

2007-06-12 | GSE5049 | GEO

Identification and validation of a novel 3-gene methylation classifier for HPV-based cervical screening on self-samples

Project description:Background: Offering self-sampling of cervico-vaginal material for human papillomavirus (HPV) testing is an effective method to increase the coverage in cervical screening programmes. Molecular triage directly on HPV-positive self-samples for colposcopy referral opens the way to full molecular cervical screening. Here, we set out to identify a methylation classifier for detection of precancer (CIN3) or cancer, applicable to self-samples obtained by different devices. Findings: Genome-wide DNA methylation profiling of HPV-positive self-samples revealed 12 methylation targets for CIN3 detection. Multiplex quantitative methylation-specific PCR of these targets yielded a 3-gene methylation classifier (ASCL1, LHX8 and ST6GALNAC5), showing a very good clinical performance for CIN3 detection in both lavage (AUC=0.88; sensitivity=74%; specificity=79%) and brush (AUC=0.90; sensitivity=88%; specificity=81%) self-samples in the validation set. All self-samples from women with cervical cancer scored methylation-positive. Conclusion: By genome-wide DNA methylation profiling on self-samples, we identified a highly effective 3-gene methylation classifier for direct triage on self-samples from HPV-positive women.

2018-01-01 | GSE99511 | GEO

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