The current status of cell‐free human papillomavirus DNA as a biomarker in cervical cancer and other HPV ‐associated tumors: A review

Development of human papillomavirus and its detection methods (Review)

Human papillomavirus (HPV) infection plays an important role in cervical cancer. HPV is classified within the Papillomaviridae family and is a non-enveloped, small DNA virus. HPV infection can be classified into two distinct scenarios: i) With or without integration into the host chromosomes. Detection of its infection can be useful in the study of cervical lesions. In the present review, the structural and functional features of HPV, HPV typing, infection and transmission mode, the risk factors for cervical susceptibility to infection and HPV detection methods are described in detail. The development of HPV detection methods may have far-reaching significance in the prevention and treatment of cervical disease. This review summarizes the advantages and limitations of each HPV detection method.

Prognostic value of human papillomavirus cell-free DNA in cervical cancer patients: A systematic review and meta-analysis

OBJECTIVE

This meta-analysis aimed to investigate the association between circulating human papillomavirus (HPV) cell-free DNA and oncological outcomes of cervical cancer patients.

METHODS

Searches were performed in MEDLINE, Embase, and CENTRAL from their inception until 26 November 2023. Inclusion criteria were: (1) pathologically confirmed cervical cancer with available HPV test results; (2) detection of HPV cell-free DNA was performed in serum/plasma before or at end of treatment; (3) studies reported oncological outcomes of cervical cancer patients according to the levels of HPV cell-free DNA. Data extraction and study quality assessment were performed independently by two authors. Pooled hazard ratios and 95% confidence intervals were calculated using the inverse-variance method for survival outcomes.

RESULTS

Five studies were finally included in this meta-analysis. Blood samples were collected from 167 patients before treatment, with 150 individuals available for analysis at the end of treatment. Furthermore, 82 patients with available samples at 3 months post-treatment were included in the analysis. The pooled results indicated a significant association between positive HPV cell-free DNA at end of treatment and worse progression-free survival in patients with cervical cancer (pooled hazard ratio: 5.49; 95 % confidence interval: 2.85-10.58; I2: 0 %). Similar findings were observed in patients with detectable HPV cell-free DNA at 3 months post-treatment (pooled hazard ratio: 7.86; 95 % confidence interval: 3.32-18.60; I2: 0 %). However, the detection of HPV cell-free DNA before treatment was not significantly associated with progression-free survival (pooled hazard ratio: 0.97; 95 % confidence interval: 0.55-1.71; I2: 0 %).

CONCLUSION

Cervical cancer patients testing positive for HPV cell-free DNA at the end of treatment or 3 months post-treatment displayed significantly poorer oncological outcomes compared to those testing negative. Thus, personalized monitoring of HPV cell-free DNA holds promise as a prognostic biomarker for patients with cervical cancer.

Prognostic value of HPV circulating tumor DNA detection and quantification in locally advanced cervical cancer

Background

Cervical cancers are mainly caused by an oncogenic HPV. For locally advanced stages, the standard treatment is radio-chemotherapy (RTCT) followed by brachytherapy. Nevertheless, the prognosis remains highly heterogeneous between patients.

Objective

We investigated the prognostic value of HPV circulating tumor DNA (ctDNA) in locally advanced cervical cancers alongside that of Squamous Cell Carcinoma Antigen (SCC-A).

Methods

This single-center retrospective study included patients treated in curative intent for an IB3 to IVA squamous cell cervical cancer. Quantification of HPV ctDNA in serum collected at diagnosis was performed using a multiplex digital PCR assay for the simultaneous detection of 8 HPV genotypes.

Results

Among the 97 patients included, 76 patients (78.4%) were treated by RTCT, followed by brachytherapy for 57 patients (60%). HPV ctDNA was detected in 59/97 patients at diagnosis (60.8%). This detection was associated with lymph node invasion (p=0.04) but not with tumor stage. A high level of SCC-A at diagnosis was associated with tumor stage (p=0.008) and lymph node invasion (p=0.012). In univariate analysis, better disease-free survival (DFS) was associated with optimal RTCT regimen (p=0.002), exposure to brachytherapy (p=0.0001) and a low SCC-A at diagnosis (continuous analysis, p=0.002). Exploratory analysis revealed that 3/3 patients (100%) whose HPV ctDNA was still detectable at the end of treatment relapsed, while 6/22 patients (27.3%) whose HPV ctDNA was negative at the end of treatment relapsed.

Conclusion

HPV ctDNA detection at diagnosis of locally advanced cervical squamous cell carcinomas is frequent and related to node invasion, but not to DFS. The prognostic value of HPV ctDNA detection after treatment warrants specific studies.

Fully automated 3D machine learning model for HPV status characterization in oropharyngeal squamous cell carcinomas based on CT images

BACKGROUND

Human papillomavirus (HPV) status plays a major role in predicting oropharyngeal squamous cell carcinoma (OPSCC) survival. This study assesses the accuracy of a fully automated 3D convolutional neural network (CNN) in predicting HPV status using CT images.

METHODS

Pretreatment CT images from OPSCC patients were used to train a 3D DenseNet-121 model to predict HPV-p16 status. Performance was evaluated by the ROC Curve (AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1 score.

RESULTS

The network achieved a mean AUC of 0.80 ± 0.06. The best-preforming fold had a sensitivity of 0.86 and specificity of 0.92 at the Youden's index. The PPV, NPV, and F1 scores are 0.97, 0.71, and 0.82, respectively.

CONCLUSIONS

A fully automated CNN can characterize the HPV status of OPSCC patients with high sensitivity and specificity. Further refinement of this algorithm has the potential to provide a non-invasive tool to guide clinical management.

Cell-Free Human Papillomavirus DNA Is a Sensitive Biomarker for Prognosis and for Early Detection of Relapse in Locally Advanced Cervical Cancer

PURPOSE

Human papillomavirus (HPV) is the cause of the majority of cervical cancer cases and has been showed to be released as cell-free tumor DNA (ctHPV DNA) into the circulation. Here, we analyze if ctHPV DNA could be used as a prognostic biomarker and/or to detect relapse earlier than traditional methods in locally advanced cervical cancer (LACC).

EXPERIMENTAL DESIGN

A total of 74 patients with LACC were included; 66of 74 were positive for 13 high-risk HPV types on a bead-based assay of tumor biopsy samples. HPV-type-specific droplet digital PCR assays were developed. Longitudinal plasma samples were then analyzed for the biopsy-verified HPV type for each patient. In total, 418 plasma samples were analyzed. Patients were followed for a median of 37 months. Results were correlated to tumor and clinical characteristics.

RESULTS

Of the pretreatment plasma samples, 92.4% were positive for ctHPV DNA. Persistent ctHPV DNA in end-of-treatment, early follow-up (1-2 months after end-of-treatment), or tumor evaluation (3-4 months after end-of-treatment) plasma was correlated with worse progression-free survival (P < 0.001) compared with if ctHPV DNA was not found. The positive predictive value of ctHPV status at early follow-up for predicting disease progression was 87.5%, and the negative predictive value was 89.3%. ctHPV DNA was found in plasma before relapse was diagnosed using radiology in all patients (n = 10) who experienced relapse after complete clinical response to treatment with a median 315 days lead time.

CONCLUSIONS

ctHPV DNA in follow-up plasma is a promising prognostic biomarker in patients with LACC, useful for analysis of response to therapy and for early detection of relapse.

Detection of Multiple HPV Types in Liquid Biopsies of Cervical Neoplasia

BACKGROUND

More than 95% of cervical cancers and their precancerous lesions are caused by human papillomavirus (HPV). Cell-free (cf) HPV DNA detection in blood samples may serve as a monitoring tool for cervical cancer.

METHODS

In our methodological study, an HPV panel for simultaneous detection of 24 types using mass spectrometry-based analysis was developed for liquid biopsy approaches and tested on HPV positive cell lines, plasmid controls, and cervical high-grade squamous intraepithelial lesions (HSIL) in positive smear samples (n = 52). It was validated in cfDNA blood samples (n = 40) of cervical cancer patients.

RESULTS

The HPV panel showed proficient results in cell lines and viral plasmids with a limit of detection of 1 IU (international units)/µL for HPV16/18 and 10GE/µL for HPV11/31/33/39/45/51/52/58/59 and a specificity of 100% for the tested HPV types. In cervical smear samples, HPV DNA was detected with a sensitivity of 98.14%. The overall agreement between the new HPV panel and clinical records was 97.2% (κ = 0.84). In cervical cancer cfDNA, 26/40 (65.0%) tested positive for any HPV type, with most infections due to hrHPV (24/26). HPV positive samples were found in all FIGO stages, with the highest positivity ratio in FIGO III and IV. Even the lowest stage, FIGO I, had 12/23 (52.2%) patients with a positive HPV plasma status.

CONCLUSIONS

This proof-of-concept paper shows that the described assay produces reliable results for detecting HPV types in a multiplex mass spectrometry-based assay in cervical smear and cfDNA with high specificity and sensitivity in both cohorts. The assay shows potential for liquid biopsy-based applications in monitoring cervical cancer progression.

The Clinical Utility of Circulating HPV DNA Biomarker in Oropharyngeal, Cervical, Anal, and Skin HPV-Related Cancers: A Review

Human papillomavirus (HPV) is recognized as being related to a wide variety of known cancers: cervical, oropharyngeal, anal, vaginal, penile, and skin. For some of these cancers, rigorous algorithms for screening, therapeutical interventions, and follow-up procedures have been established. Vaccination using the nonvalent anti-HPV vaccine, which prevents infection regarding the most frequently involved high-risk HPV types (16, 18, 31, 33, 45, 52, and 58) and low-risk HPV types (6 and 11), has also extensively prevented, controlled, and even eradicated HPV infections. Still, even with all of these multidisciplinary interventions, the burden of HPV cancers is still high worldwide. The circulating DNA of HPV-induced cancers is thought to be an adequate biomarker for optimizing the control of these virus-related cancers. We analyzed the literature published in the last 5 years regarding ctDNA and four of the above-mentioned cancers. The most frequently used assay for ctDNA detection was the droplet digital PCR assay, used for the management of therapy in the late stages of cancer. ctDNA could not be used for early detection in any of the studied cancers. The OPSCCs were the most frequent cancers analyzed via ctDNA assays. Larger, properly designed cohort studies might establish the clinical utility of this biomarker.

Circular RNAs in gynecologic cancers: mechanisms and implications for chemotherapy resistance

Chemotherapy resistance remains a major challenge in the treatment of gynecologic malignancies. Increasing evidence suggests that circular RNAs (circRNAs) play a significant role in conferring chemoresistance in these cancers. In this review, we summarize the current understanding of the mechanisms by which circRNAs regulate chemotherapy sensitivity and resistance in gynecologic malignancies. We also discuss the potential clinical implications of these findings and highlight areas for future research. CircRNAs are a novel class of RNA molecules that are characterized by their unique circular structure, which confers increased stability and resistance to degradation by exonucleases. Recent studies have shown that circRNAs can act as miRNA sponges, sequestering miRNAs and preventing them from binding to their target mRNAs. This can lead to upregulation of genes involved in drug resistance pathways, ultimately resulting in decreased sensitivity to chemotherapy. We discuss several specific examples of circRNAs that have been implicated in chemoresistance in gynecologic cancers, including cervical cancer, ovarian cancer, and endometrial cancer. We also highlight the potential clinical applications of circRNA-based biomarkers for predicting chemotherapy response and guiding treatment decisions. Overall, this review provides a comprehensive overview of the current state of knowledge regarding the role of circRNAs in chemotherapy resistance in gynecologic malignancies. By elucidating the underlying mechanisms by which circRNAs regulate drug sensitivity, this work has important implications for improving patient outcomes and developing more effective therapeutic strategies for these challenging cancers.