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Introduction: This study investigates and compares the relative telomere length (RTL) outcome of high-risk (hr) human papillomavirus (HPV)-infected normal, low-grade squamous intraepithelial lesion (LSIL), and high-grade squamous intraepithelial lesion (HSIL) cervical samples to HPV-free normal cervical samples., Methods: This study used archived cervical samples and obtained cytology and histology data. HPV genotyping was conducted using Sanger sequencing, and RTL was performed using real-time quantitative polymerase chain reaction., Results: This study investigated 287 cervical samples, including 100 normal and hr-HPV-negative samples from the control group, 44 normal and hr-HPV-infected samples, and 143 SIL and hr-HPV-infected samples. The RTL in hr-HPV-infected samples, including the SIL and normal sample groups, was significantly longer than that in the control group. RTL in HSIL (5.13 ± 3.22) and LSIL (2.86 ± 2.81) was significantly different (p < 0.001). The RTL of cervical intraepithelial neoplasia (CIN1) lesion (3.53 ± 2.53) differed significantly (p < 0.001) when compared to CIN2 and CIN3 lesions combined (12.04 ± 10.51). The risk of developing cervical cancer was associated with RTL and decreased with RTL., Conclusion: This study revealed the strong potential of the RTL test in identifying women at risk of developing cervical cancer., (© 2023 S. Karger AG, Basel.)

In 5 patients, a change in the genetic landscape from HPV16 positive high-grade squamous intraepithelial lesion (HSIL) to squamous cervical cancer was traced, which occurred in these patients within the period from 7 months to 5 years after diagnosing HSIL., Materials and Methods: The DNA from paraffin blocks of dysplasia tissue and the tumor that emerged afterwards was used for the study, which was analyzed using the OncoScan FFPE microarray Assay Kit Affymetrix (USA) for genome-wide determination of gene abundance and 65 key somatic driver mutations of oncogenes and tumor suppressor genes., Results: In the study of HSIL material, somatic mutations were observed in 4/5 cases, 18 different somatic driver mutations of the NRAS, EGFR, BRAF, KRAS, IDH2 oncogenes and TP53 suppressor genes were found and almost no CNA-Copy Number Aberration was identified. HSIL malignization is associated with the appearance of secondary driver mutations in oncogenes and tumor suppressor genes and a large number of structural and numerical CNA, the frequency of which correlates with the time of dysplasia malignization into cancer with a very high correlation coefficient r = 0.98, P = 0.004. The trees of dysplasia evolution into tumor were constructed for each patient., Conclusion: According to the results of the work, it is assumed that the initiation of the development of mucosa dysplastic changes is due to primary driver mutations. The formation of secondary driver mutations and CNA are genetic mechanisms of malignant transformation, while the scenarios of the evolution of dysplasia into a tumor are individual and very diverse., (Copyright © 2020. Published by Elsevier Inc.)

Objective: To correlate p16 ink4a positive cervical precancers of 388 consecutive patients from a single European center with the preceding clinical HPV-DNA and HPV E6/E7 mRNA screening test., Method: 374/388 patients had a HSIL (CIN 2/3) and 14/388 AIS (6 pure and 8 combined AIS/HSIL). Lesional tissues of HSIL/AIS with negative Cobas and/or Aptima HPV tests underwent HPV genotyping with CHIPRON HPV 3.5 LCD-array. Selected cases were subjected to a cancer hot spot analysis., Results: The Aptima test missed 10/388 (2.6%) and the Cobas test seven of 388 (1.8%) precancers associated HPV-HR. Both HPV tests were negative in 20/374 precancers (5.3%; 17 HSIL/CIN3, two HSIL/CIN2, one AIS). Due to insufficient DNA four of 20 double negative cases (three HSIL, one AIS) were not genotyped. In the remaining cases, two of 20 (10%) HSIL genotyping detected HR-HPV subtypes. 10/20 (50%) HSIL were associated with possibly carcinogenic and low risk HPV (four x HPV73, three x HPV 53, one x HPV 82, one x HPV 67 and one x HPV 6), all of which are not included in both HPV tests. Two of 20 (10%) HSIL were negative with all HPV tests; one of these HSIL had a somatic PIK3CA gene mutation and the other had a single nucleotide variant in the APC gene. Three of 20 HSIL (15%) were thin HSIL (≤9 cell layers thick)., Conclusions: Possibly carcinogenic HPV subtypes not included in the clinical HPV tests may account for the small gap of missed HSIL in clinical HPV screening. True HPV negative HSIL are exceedingly rare. Expanding HPV testing to include more possibly carcinogenic HPV subtypes may further reduce cervical cancer., Competing Interests: Declaration of competing interest The authors declare no conflict of interests., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Purpose: High rate of false-positive tests is a major obstacle to use human papillomavirus (HPV) detection as a diagnostic tool for high-grade squamous intraepithelial lesions or cervical cancer (HSIL+). We investigated whether type-specific viral load or physical state of HPV 16, 18, and 58 are useful biomarkers for HSIL+., Materials and Methods: Type-specific viral loads of E6 and E2 genes in cervical cells from 240, 83, and 79 HPV 16-, 18-, and 58-infected women, respectively, were determined using real-time polymerase chain reaction. Viral loads were normalized to cellular DNA (copy/cell). Total and integrated viral loads and physical state were compared between HSIL+ and controls, and diagnostic value was determined using receiver operating characteristic analysis., Results: Viral loads of HPV 16, 18, and 58 were significantly different in lesions in the same pathologic grade. High type-specific total viral loads were significantly associated with HSIL+ (odds ratio [OR], 14.065, 39.472, and 7.103 for HPV 16, 18, and 58, respectively). High integrated viral load was related to HSIL+ in women with HPV 16 (OR, 8.242), and integrated state was associated with HSIL+ in women with HPV 18 (OR, 9.443). Type-specific total viral load was significantly associated with HSIL+ (area under curve, 0.914, 0.937, and 0.971 for HPV 16, 18, and 58, respectively), indicating an excellent performance in detecting HSIL+., Conclusion: Type-specific total viral load may be a powerful diagnostic marker for HSIL+ in HPV 16-, 18-, and 58-infected HSIL+ lesions. If demonstrated in all other high-risk HPV types, this method can lead to a paradigm shift in the strategy of equivocal cytologic abnormalities.