Association of HPV16 and 18 genomic copies with histological grades of cervical lesions

Joharinia, Negar; Farhadi, Ali; Hosseini, Seyed Younes; Safaei, Akbar; Sarvari, Jamal

doi:10.1007/s13337-019-00545-2

Cited by 11 publications

(14 citation statements)

References 27 publications

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“…To determine high risk HPV16 and 18 genotypes among the positive samples, we performed two sets of PCR, using HPV16 and 18 specific primers which amplify E6 region of a specific genotype as previously described ( 18 ) ( Table 1 ). PCR was performed in a total volume of 15μL, containing MgCl2 0.75 μL (CinnaGene, Iran), dNTPs 0.5 μL (CinnaGene, Iran), reaction buffer 2.5 μL (CinnaGene, Iran), Taq DNA polymerase 0.25 μL (CinnaGene, Iran) ,0.5 μL each specific primers (F and R16/F and R18), water 8 μL and DNA template 2 μL.…”

Section: Methodsmentioning

confidence: 99%

“…HPV genotyping also showed that 18 samples including 12 samples of malignant tumor (3 cases grade I, 2 cases grade II and 7 cases grade III), 4 samples of borderline tumor and 2 samples of benign tumor have been infected with HPV type 18. An 80-yearold participant with grade III malignant tumor was infected with HPV types 16,18, and also EBV ( Table 3).…”

Section: Hpv Genotypingmentioning

confidence: 99%

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Association of Human Papilloma Virus and Epstein-Barr Virus with Ovarian Cancer in Shiraz, Southwestern Iran

et al. 2020

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Scan to discover online Background & Objective: Ovarian cancer is one of the most common cancers amongst women. The association of Human papillomavirus (HPV) and Epstein-Barr virus (EBV) with ovarian cancer is inconclusive; therefore, the aims of this study were to evaluate the frequency of HPV and EBV in malignant, borderline, benign and normal ovarian tissues. Methods: In this case-control study, 205 Paraffin-embedded ovarian tissue specimens including 68 malignant, 27 borderline, 65 benign, and 45 normal tissues were included from December 2014 to January 2018 and subjected to DNA extraction. The β-globin gene was amplified using PCR to confirm the quality of the extracted DNA. The genomes of HPV (genotypes 16 and 18) and EBV were identified, using specific primers by PCR. Results: The mean age of participants was 43.42 ± 15.4 years. The frequency of HPV was statistically significant between malignant versus benign (P=0.02) and control groups (P=0.002), but not with borderline tumor group (P=0.78). Amongst HPV infected samples, 1 (4.5%) and 14 (63.6%) samples were infected with types 16 and 18, respectively. Also 4 (18.2 %) samples were infected with both genotypes. Eleven samples including 7(10.3%) malignant, 1 (3.7%) borderline, 3 (4.6%) benign and none (0%) of normal control groups were infected with EBV, which was statistically different between malignant and the normal control group (P=0.03). Conclusion: The results of our study showed the possible role of high risk HPVs as well as EBV in pathogenesis of ovarian cancer, and further studies are recommended to confirm these findings.

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Section: Methodsmentioning

confidence: 99%

Section: Hpv Genotypingmentioning

confidence: 99%

Association of Human Papilloma Virus and Epstein-Barr Virus with Ovarian Cancer in Shiraz, Southwestern Iran

et al. 2020

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“…The mean values were expressed as HPV DNA copies/ng DNA. The sequences of primers, PCR reaction components as well as amplification conditions were described previously (Joharinia et al, 2019).…”

Section: Real-time Pcr Assay For β-Globin Genementioning

confidence: 99%

“…HPV negative samples were excluded from the study and HPV positive samples underwent HPV16 and 18 DNA detection and quantification assessments. In this regard, an in-house duplex TaqManTM based real-Time PCR was performed, as described before (Joharinia et al, 2019). The sequences of primers, PCR reaction components as well as amplification conditions were described previously (Joharinia et al, 2019).…”

Section: Quantification Of Hpv 16 And/or18 Genomic Copies and Determimentioning

confidence: 99%

“…In this regard, an in-house duplex TaqManTM based real-Time PCR was performed, as described before (Joharinia et al, 2019). The sequences of primers, PCR reaction components as well as amplification conditions were described previously (Joharinia et al, 2019). In order to determine the genotype of HPV detected in the samples that were tested negative for HPV16 and/or18 DNA, we subjected the 150 bp amplified PCR products of GP5+/6+ primers to a bidirectional Sanger sequencing assay.…”

Section: Quantification Of Hpv 16 And/or18 Genomic Copies and Determimentioning

confidence: 99%

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Co-existing of HSV1/2 or EBV Infection with the Presence of High-Risk HPV DNA in Cervical Lesions in the Southwest of Iran

Joharinia

Faghihinejad

Seyedi

et al. 2020

Asian Pac J Cancer Prev

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Objective: While the vast majority of the cervical lesions have been attributed to the HPVs, the role of EBV and HSV1/2 as co-factors in the progression of these abnormalities needs more investigation. In this study, we aimed to determine the coexistence of EBV or HSV in cervical lesions infected with high-risk HPVs. Methods: Totally, 102 formaline-fixed cervical lesions with different pathological grades (LSIL, HSIL, and SCC) were enrolled in this study. DNA was extracted, and its integrity was examined by PCR assay. Two conventional PCRs were performed for the detection of EBV and HSV1/2 genomes in the tissue specimens. Besides, an in-house Real-Time PCR, as well as a nested PCR assays following sequencing, was performed to detect HPV genotypes in EBV or HSV positive samples. Results: The mean age of the participants was 42.8±13 years. Out of 102 samples, 32% (n=33) were confirmed to be LSIL, 42.2% (n=43) were HSIL, 22.5% (n=23) were SCC and 2.9% (n=3) were adenocarcinoma. EBV genome was detected in 13(12.7%) samples including 2 of LSIL, 8 of HSIL and 3 of SCC. All EBV positive samples harbored high risk HPV types 16,18 and/or 31 co-infections. However, the HSV genome was not found in any of the samples. Conclusion: Our result revealed that the frequency of EBV infection is higher in HISL than LSIL. Moreover, the amount of HPV load showed an elevated level among co-infected patients, which indicates that EBV might be an enhancing factor of disease progression. In contrast, HSV may not has a role as a co-factor in cervical lesions pathogenesis.

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Eight-lncRNA signature of cervical cancer were identified by integrating DNA methylation, copy number variation and transcriptome data

Zhong

Yuan

et al. 2021

J Transl Med

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Background Copy number variation (CNV) suggests genetic changes in malignant tumors. Abnormal expressions of long non-coding RNAs (lncRNAs) resulted from genomic and epigenetic abnormalities play a driving role in tumorigenesis of cervical cancer. However, the role of lncRNAs-related CNV in cervical cancer remained largely unclear. Methods The data of messenger RNAs (mRNAs), DNA methylation, and DNA copy number were collected from 292 cervical cancer specimens. The prognosis-related subtypes of cervical cancer were determined by multi-omics integration analysis, and protein-coding genes (PCGs) and lncRNAs with subtype-specific expressions were identified. The CNV pattern of the subtype-specific lncRNAs was analyzed to identify the subtype-specific lncRNAs. A prognostic risk model based on lncRNAs was established by least absolute shrinkage and selection operator (LASSO). Results Multi-omics integration analysis identified three molecular subtypes incorporating 617 differentially expressed lncRNAs and 1395 differentially expressed PCGs. The 617 lncRNAs were found to intersect with disease-related lncRNAs. Functional enrichment showed that 617 lncRNAs were mainly involved in tumor metabolism, immunity and other pathways, such as p53 and cAMP signaling pathways, which are closely related to the development of cervical cancer. Finally, according to CNV pattern consistent with differential expression analysis, we established a lncRNAs-based signature consisted of 8 lncRNAs, namely, RUSC1-AS1, LINC01990, LINC01411, LINC02099, H19, LINC00452, ADPGK-AS1, C1QTNF1-AS1. The interaction of the 8 lncRNAs showed a significantly poor prognosis of cervical cancer patients, which has also been verified in an independent dataset. Conclusion Our study expanded the network of CNVs and improved the understanding on the regulatory network of lncRNAs in cervical cancer, providing novel biomarkers for the prognosis management of cervical cancer patients.

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Association of HPV16 and 18 genomic copies with histological grades of cervical lesions

Cited by 11 publications

References 27 publications

Association of Human Papilloma Virus and Epstein-Barr Virus with Ovarian Cancer in Shiraz, Southwestern Iran

Association of Human Papilloma Virus and Epstein-Barr Virus with Ovarian Cancer in Shiraz, Southwestern Iran

Co-existing of HSV1/2 or EBV Infection with the Presence of High-Risk HPV DNA in Cervical Lesions in the Southwest of Iran

Eight-lncRNA signature of cervical cancer were identified by integrating DNA methylation, copy number variation and transcriptome data

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