Prognostic value of pre-treatment human papilloma virus DNA status in cervical cancer

Carbon ion radiotherapy for mesonephric adenocarcinoma of the uterine cervix: a case report

BACKGROUND

Mesonephric adenocarcinoma is an extremely rare subtype of uterine cervical cancer that is associated with a poor prognosis and for which a standardized treatment protocol has not been established. Carbon ion radiotherapy (CIRT) is an emerging radiotherapy modality that has been shown to have a favorable anti-tumor effect, even for tumors resistant to conventional photon radiotherapy or chemotherapy. However, there is no report on CIRT outcomes for mesonephric adenocarcinoma of the uterine cervix.

CASE PRESENTATION

We treated a 47-year-old Japanese woman with mesonephric adenocarcinoma of the uterine cervix (T2bN0M0 and stage IIB according to the 7th edition of the Union for International Cancer Control and International Federation of Gynecology and Obstetrics, respectively) with CIRT combined with brachytherapy and concurrent chemotherapy. CIRT consisted of whole pelvic irradiation and boost irradiation to the gross tumor; 36.0 Gy (relative biological effectiveness [RBE]) in 12 fractions and 19.2 Gy (RBE) in 4 fractions, respectively, performed once a day, four times per week. Computed tomography-based image-guided adaptive brachytherapy was performed after completion of CIRT, for which the D90 (i.e., the dose prescribed to 90% of the target volume) for the high-risk clinical target volume was 20.4 Gy in a total of 3 sessions in 2 weeks. A weekly cisplatin (40 mg/m2) dose was administered concomitantly with the radiotherapy for a total of five courses. From 4 months post-CIRT, the patient developed metastasis of the lung, with a total of 10 lung metastases over 70 months; these lesions were treated on each occasion by photon stereotactic body radiotherapy and/or systemic therapy. At 8 years from initial treatment (i.e., 2 years after the last treatment), the patient is alive without any evidence of recurrence and maintains a high quality of life.

CONCLUSIONS

This is the first report of CIRT for treatment of mesonephric adenocarcinoma of the uterine cervix. The present case indicates the potential efficacy of CIRT in combination with brachytherapy for treatment of this disease.

Comparing deep learning and handcrafted radiomics to predict chemoradiotherapy response for locally advanced cervical cancer using pretreatment MRI

Concurrent chemoradiotherapy (CRT) is the standard treatment for locally advanced cervical cancer (LACC), but its responsiveness varies among patients. A reliable tool for predicting CRT responses is necessary for personalized cancer treatment. In this study, we constructed prediction models using handcrafted radiomics (HCR) and deep learning radiomics (DLR) based on pretreatment MRI data to predict CRT response in LACC. Furthermore, we investigated the potential improvement in prediction performance by incorporating clinical factors. A total of 252 LACC patients undergoing curative chemoradiotherapy are included. The patients are randomly divided into two independent groups for the training (167 patients) and test datasets (85 patients). Contrast-enhanced T1- and T2-weighted MR scans are obtained. For HCR analysis, 1890 imaging features are extracted and a support vector machine classifier with a five-fold cross-validation is trained on training dataset to predict CRT response and subsequently validated on test dataset. For DLR analysis, a 3-dimensional convolutional neural network was trained on training dataset and validated on test dataset. In conclusion, both HCR and DLR models could predict CRT responses in patients with LACC. The integration of clinical factors into radiomics prediction models tended to improve performance in HCR analysis. Our findings may contribute to the development of personalized treatment strategies for LACC patients.

Human Papillomavirus Detectability and Cervical Cancer Prognosis: A Systematic Review and Meta-analysis

OBJECTIVE

To evaluate whether testing positive for human papillomavirus (HPV) before treatment is associated with cervical cancer recurrence and disease-free, cancer-specific, and overall survival and to report the relationship of HPV to cervical cancer histology, stage, grade, tumor size, lymph node involvement, and treatment response.

DATA SOURCES

EMBASE and MEDLINE were searched from inception to January 27, 2022, with the use of MeSH terms and keywords relating to cervical cancer, HPV, and prognosis. ClinicalTrials.gov was not searched because of the nature of our review question.

METHODS OF STUDY SELECTION

Studies must have assessed HPV DNA or RNA in cervical pretreatment biopsies or cells from 20 or more patients with invasive cervical cancer followed up for any length of time and reported the effect of testing positive or negative for HPV on cervical cancer recurrence, disease-free survival, cancer-specific survival, or overall survival. We extracted data on HPV-detection methods, patient and tumor characteristics, and clinical outcomes.

TABULATION, INTEGRATION, AND RESULTS

Hazard ratios (HRs) and 95% CIs were pooled with a random-effects model. Meta-regression was performed to explore heterogeneity. Of 11,179 titles or abstracts and 474 full-text articles reviewed, 77 studies were included in the systematic review. Among these 77 studies, 30 reported on the relationship of HPV status to histology, 39 to cancer stage, 13 to tumor grade, 17 to tumor size, 23 to lymph node involvement, and four to treatment response. Testing positive for HPV was associated with better disease-free survival (HR 0.38, 95% CI 0.25-0.57; 15 studies with 2,564 cases), cancer-specific survival (HR 0.56, 95% CI 0.44-0.71; nine studies with 1,398 cases), and overall survival (HR 0.59, 95% CI 0.47-0.74; 36 studies with 9,169 cases), but not recurrence (HR 0.59, 95% CI 0.33-1.07; eight studies with 1,313 cases). Meta-regression revealed that the number of cases, tumor grade, specimen type, gene target, and HPV prevalence together explained 73.8% of the between-study heterogeneity.

CONCLUSION

This review indicates that HPV detectability in cervical cancer is associated with a better clinical prognosis.

SYSTEMATIC REVIEW REGISTRATION

https://osf.io/dtyeb .

Impact of HR-HPV infection on oncological outcomes in early cervical cancer

Background

This study aimed to investigate the differences in long-term oncological outcomes between high-risk human papillomavirus (HR-HPV) negative and HR-HPV positive early-stage cervical cancers.

Methods

We retrospectively analysed 2061 cases of early-stage cervical cancer from the Chinese cervical cancer clinical diagnosis and treatment database. Kaplan-Meier curves were used to describe the survival outcomes of different HR-HPV infections. Cox proportional hazard regression model was used to analyze and determine independent risk factors.

Results

K-M analysis revealed no significant difference in 5-year OS between HR-HPV negative and HR-HPV positive groups (OS: 95.0% vs.95.6%, P=0.900). A significant difference was observed in 5-year DFS between the HR-HPV negative and HR-HPV positive groups (DFS: 87.2% vs.91.9%, P=0.025). Cox proportional hazard regression model indicated that HR-HPV infection (negative vs. positive) was an independent factor influencing 5-year DFS after early cervical cancer surgery (DFS: hazard ratio [HR]=1.862, P=0.022). HR-HPV infection (negative vs positive) was not an independent factor influencing 5-year OS after early cervical cancer surgery (OS: P=0.813). After 1:1 PSM pairing, there was no significant difference in 5-year OS and DFS between HR-HPV negative group and HR-HPV positive group (OS: 91.6% vs.95.0%, P=0.297; DFS: 87.2% vs.85.1%, P=0.758). Cox multivariate analysis indicated that HR-HPV infection was not an independent factor influencing 5-year OS and DFS after early cervical cancer surgery (OS: P=0.806, DFS: P=0.251).

Conclusions

The tumour results of HR-HPV negative group and HR-HPV positive group were similar, after eliminating the differences in known variables that affect the oncological outcomes of cervical cancer. The treatment plan of HR-HPV positive cervical cancer is suitable for HR-HPV negative cervical cancer.

Human papillomavirus independent status on pathologic response and outcomes in locally advanced cervical cancer managed with chemoradiotherapy followed by surgery

OBJECTIVE

While human papillomavirus (HPV) has been shown to play a significant role in cervical cancer carcinogenesis (HPV associated cases), a considerable percentage of cervical cancers occur independently of HPV status (HPV independent).

METHODS

In this retrospective study of 254 locally advanced cervical cancer patients treated with chemoradiotherapy and radical surgery, HPV genotypes were determined using the Anyplex II HPV28 kit that uses multiplex, real time polymerase chain reaction technology. The primary endpoints of this study were to evaluate the complete response to chemoradiotherapy (pathologic complete response), the presence of microscopic (<3 mm, pathologic micro partial response, group 1) and macroscopic (>3 mm, pathologic macro partial response, group 2) residual carcinoma in the cervix, and the persistence of metastatic lymph nodes (group 3) in HPV independent cervical cancers. Secondary endpoints were evaluation of disease-free survival and overall survival.

RESULTS

Of 254 patients studied, 21 cases (8.3%) of cervical cancer were determined to be HPV independent. The percentage of pathologic complete response was found to be higher in the HPV associated group compared with the HPV independent group (p<0.001). In the HPV associated cervical cancer group, 5 year disease free survival was found to be 80.8% versus 59.9% in the HPV independent group (p=0.014). Overall survival was also higher in the HPV associated group (87.9%) compared with the HPV independent patients (69.4%) (p=0.023). In the multivariate analysis, the International Federation of Gynecology and Obstetrics (FIGO) stage and HPV genotypes maintained their relevant impact on pathologic complete response to chemoradiotherapy: FIGO stages IIIC1 and IIIC2 were associated with a 13-fold increased risk for the presence of metastatic lymph nodes compared with group 1 (p<0.001). HPV independent cervical cancers showed the highest risk for the development of macroscopic/stable disease (p=0.007), and persistence of metastatic lymph nodes (p=0.004) versus group 1, respectively.

CONCLUSIONS

This study showed that HPV status at diagnosis could be a relevant factor for clinical outcomes in locally advanced cervical cancer patients.

Clinicopathological characteristics and survival outcomes in human papillomavirus independent cervical cancer: a propensity score matched analysis

OBJECTIVE

To investigate the clinicopathological characteristics and overall survival in high-risk human papillomavirus (HPV)-independent and HPV-associated cervical cancer.

METHODS

Patients with cervical cancer hospitalized between September 2015 and December 2019 from the Affiliated Cancer Hospital of Guizhou Medical University were enrolled. First, patients with negative results by HPV primary screening were excluded. Second, the paraffin-embedded tumor tissues from patients with negative results were used for extraction of deoxyribonucleic acid (DNA). The Hybribio K-37 test (PCR and flow-through hybridization for 37 types of HPV) was used to further identify HPV-negative infection status. Finally, 1:4 propensity score matching between high-risk HPV-independent and HPV-associated groups was performed, and the clinicopathological characteristics and overall survival were compared between the two groups.

RESULTS

Forty cervical HPV primary screening negative patients were screened of 729 patients (5.5%). Among them, 13 (1.8%) patients who were identified with high-risk HPV-independent cervical cancer after the K-37 test were selected as the study group. There were significant intergroup differences in the distribution of International Federation of Gynecology and Obstetrics (FIGO, 2018) stage (χ²=5.825, p=0.016), pathological types (χ²=6.910, p=0.009), lymph node metastasis (χ²=6.168, p=0.013), and tumor size (χ²=5.319, p=0.021). After propensity score matching, 52 patients from the HPV-associated group were selected as the control group. Patients with high-risk HPV-independent cervical cancer had poorer prognosis than those with HPV-associated cervical cancer (median overall survival: 27 vs 29 months, p=0.03; median disease-free survival: 27 vs 29 months, p=0.021).

CONCLUSION

Patients with high-risk HPV-independent cervical cancer more frequently had advanced stage disease, nodal metastasis, larger tumor, and a higher proportion of adenocarcinoma. The prognosis of patients with high-risk HPV-independent cervical cancer was poorer than those with HPV-associated cervical cancer.

The Prognostic Values of HPV Genotypes and Tumor PD-L1 Expression in Patients With HPV-associated Endocervical Adenocarcinoma

Despite the well-established pathogenic effect of high-risk human papillomavirus (hrHPV) genotypes on endocervical adenocarcinomas (ECAs), the prognostic values of hrHPV genotypes and their association with other prognostic variables have not been established. We categorized 120 usual-type human papillomavirus-associated (HPVA) ECA cases into 3 species groups (HPV16+, HPV18/45+, and other genotypes+) based on the hrHPV status. The clinical-stage, invasion patterns (Silva), and programmed death ligand-1 (PD-L1) expression were compared among genotype groups. In addition, log-rank test and Kaplan-Meier survival curves were used to compare progression-free survival (PFS) among different patient groups. A total of 120 ECA cases with positive hrHPV tests were included in this study. Among them, 51 (42.5%) were positive for HPV16, 50 (41.7%) were positive for HPV18 or 18/45, 9 (7.5%) were positive for other hrHPV genotypes (not including HPV16/18/45). Our data showed patients had no significant difference in clinical stages (P=0.51), invasion patterns (P=0.55), and PFS (P=0.59) across genotype groups. Overall, a relatively high prevalence of PD-L1 expression was observed in HPVA ECAs (25% by tumor proportion score [TPS] and 55% by a combined positive score [CPS]). Using TPS, 19.6% (10/51) HPV16+ cases, 32.0% (16/50) cases of HPV18 or 18/45+ cases, and 22.2% (2/9) cases of other genotypes+ cases demonstrated PD-L1 positivity. No significant difference in PD-L1 expression was seen across genotype groups (P=0.35). PD-L1 expression in tumors with patterns B and C was significantly higher than in those with pattern A (P=0.00002). Patients with PD-L1-positive tumors by either CPS or TPS showed significantly poorer PFS than those with PD-L1-negative tumors (CPS, P=0.025; TPS, P=0.001). Our data support that HPV genotypes have no prognostic value in HPVA ECAs, while PD-L1 expression serves as a negative prognostic marker in HPVA ECAs and implies an unfavorable outcome.

Human papillomavirus-independent cervical cancer

Cervical cancer is the fourth most frequent cancer in women worldwide, representing nearly 8% of all female cancer deaths every year. The majority of cases of cervical cancer are caused by human papillomavirus (HPV); however, up to 5% of tumors are not associated with HPV-persistent infection and, moreover, the new WHO Female Genital Tumors classification subdivided cervical squamous and adenocarcinomas into HPV-associated and HPV-independent tumors. Based on this new information, the aim of this review is to provide an overview of HPV-independent cervical cancer, evaluating diagnostic techniques, molecular profiles, and clinical outcomes. The HPV-independent tumors are characterized by a differentiated molecular profile with lower proliferative activity, a p53 immunostaining, a decreased expression of cyclin-dependent kinase inhibitor proteins, such as p16, p14, and p27, and alterations in PTEN, p53, KRAS, CTNNB1, ARID1A, and ARID5B HPV-independent tumors are associated with both adenocarcinomas and squamous histologic subtypes, with lymph node involvement in the early stages, more distant metastasis, and generally worse oncological outcomes. Thus far, no specific therapeutic strategies have been developed based on HPV status; however, with advancing knowledge of differences in the molecular profiles and possible targetable alterations, novel approaches may offer potential options in the near future. Investigators should report on clinical outcomes, evaluating the overall response rates to specific treatments, and consider new biomarkers to establish more accurate prognostics factors.

circ-ZNF609: A potent circRNA in human cancers

Circular RNAs (circRNAs) are a novel group of endogenous RNAs with a circular structure. Growing evidence indicates that circRNAs are involved in a variety of human diseases including malignancies. CircRNA ZNF609 (circ‐ZNF609), derived from the ZNF609 gene sequence, has been demonstrated to be involved in the development and progression of many diseases. circ‐ZNF609 is thought to be a viable diagnostic and prognostic biomarker for several diseases and might be a new therapeutic target, but further research is needed to accelerate clinical application. Here, we review the biogenesis and function of circRNAs and the functional roles and molecular mechanism related to circ‐ZNF609 in neoplasms and other diseases.

Genomic Characterization and Therapeutic Targeting of HPV Undetected Cervical Carcinomas

Simple Summary

Persistent HPV infection is a known driver of cervical carcinogenesis, but the existence and biological relevance of HPV undetected (HPV^U) cervical cancer has been debated. Here we report the results of detailed molecular classification of HPV^U cervical cancer, and validate HPV^U as a biomarker of poor outcomes. We identify that HPV^U cervical cancer tumors harbor mutations affecting cell cycle progression, and in vitro experiments reveal HPV^U, but not HPV⁺, cells are sensitive to palbociclib monotherapy. HPV^U status can be translated into the clinic as a predictive biomarker of poor patient response to standard of care treatments and these patients may benefit from personalized treatment plans. Our results identify palbociclib as a lead candidate as an alternative treatment strategy for HPV^U cervical cancer patients. We also suggest that primary cervix tumors be routinely tested for HPV prior to treatment to identify patients who will benefit from more aggressive precision-driven therapy.

Abstract

Cervical cancer tumors with undetectable HPV (HPV^U) have been underappreciated in clinical decision making. In this study, two independent CC datasets were used to characterize the largest cohort of HPV^U tumors to date (HPV^U = 35, HPV⁺ = 430). Genomic and transcriptome tumor profiles and patient survival outcomes were compared between HPV⁺ and HPV^U tumors. In vitro analyses were done to determine efficacy of the selective CDK4/6 inhibitor palbociclib on HPV^U cancer cell lines. Patients with HPV^U CC tumors had worse progression-free and overall survival outcomes compared to HPV⁺ patients. TP53, ARID1A, PTEN, ARID5B, CTNNB1, CTCF, and CCND1 were identified as significantly mutated genes (SMGs) enriched in HPV^U tumors, with converging functional roles in cell cycle progression. In vitro HPV^U, but not HPV⁺, cancer cell lines with wild type RB1 were sensitive to palbociclib monotherapy. These results indicate that HPV^U status can be translated into the clinic as a predictive biomarker of poor patient response to standard of care treatments. We suggest primary cervix tumors be routinely tested for HPV prior to treatment to identify patients who will benefit from more aggressive precision-driven therapy. Our results identify palbociclib as a lead candidate as an alternative treatment strategy for HPV^U CC patients.

Current Updates on Cancer-Causing Types of Human Papillomaviruses (HPVs) in East, Southeast, and South Asia

Simple Summary

Among the over 200 human papillomavirus (HPV) genotypes identified, approximately 15 of them can cause human cancers. In this review, we provided an updated overview of the distribution of cancer-causing HPV genotypes by countries in East, Southeast and South Asia. Besides the standard screening and treatment methods employed in these regions, we unravel HPV detection methods and therapeutics utilised in certain countries that differ from other part of the world. The discrepancies may be partly due to health infrastructure, socio-economy and cultural diversities. Additionally, we highlighted the area lack of study, particularly on the oncogenicity of HPV genotype variants of high prevalence in these regions.

Abstract

Human papillomavirus (HPV) infection remains one of the most prominent cancer-causing DNA viruses, contributing to approximately 5% of human cancers. While association between HPV and cervical cancers has been well-established, evidence on the attribution of head and neck cancers (HNC) to HPV have been increasing in recent years. Among the cancer-causing HPV genotypes, HPV16 and 18 remain the major contributors to cancers across the globe. Nonetheless, the distribution of HPV genotypes in ethnically, geographically, and socio-economically diverse East, Southeast, and South Asia may differ from other parts of the world. In this review, we garner and provide updated insight into various aspects of HPV reported in recent years (2015–2021) in these regions. We included: (i) the HPV genotypes detected in normal cancers of the uterine cervix and head and neck, as well as the distribution of the HPV genotypes by geography and age groups; (ii) the laboratory diagnostic methods and treatment regimens used within these regions; and (iii) the oncogenic properties of HPV prototypes and their variants contributing to carcinogenesis. More importantly, we also unveil the similarities and discrepancies between these aspects, the areas lacking study, and the challenges faced in HPV studies.

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

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.

HPV-Negative Cervical Cancer: A Narrative Review

Cervical cancer (CC) is the fourth most frequent cancer in women worldwide. HPV infection is associated with the majority of CC cases, but a small proportion of CCs actually test negative for HPV. The prevalence of HPV among CC histotypes is very different. It has been suggested that HPV-negative CC may represent a biologically distinct subset of tumors, relying on a distinct pathogenetic pathway and carrying a poorer prognosis, than HPV-positive CCs. Although, the discordance in terms of sensitivity and specificity between different HPV tests as well as the potential errors in sampling and storing tissues may be considered as causes of false-negative results. The identification of HPV-negative CCs is essential for their correct management. The aim of this narrative review is to summarize the clinical and pathological features of this variant. We also discuss the pitfalls of different HPV tests possibly leading to classification errors.

P16 and HPV Genotype Significance in HPV-Associated Cervical Cancer-A Large Cohort of Two Tertiary Referral Centers

The expression of p16 is a good surrogate of human papillomavirus (HPV) infection in HPV-associated cancers. The significance of p16 expression, HPV genotype and genera in the outcome of patients with HPV-associated cervical cancer (CC) is unclear. Our aim is to ascertain the prognostic significance of these factors. Data from 348 patients (median age: 47.5 years old) with CC, diagnosed in two referral centers, were retrospectively collected. Advanced disease (FIGO2018 IB2-IV) was present in 68% of patients. A single HPV genotype was identified in 82.8% of patients. The most common HPVs were HPV16 (69%) and HPV18 (14%). HPV genera reflected this distribution. HPV16 tumors presented at an earlier stage. P16 was negative in 18 cases (5.2%), 83.3% of which were squamous cell carcinomas. These cases occurred in older patients who tended to have advanced disease. In the univariate analysis, HPV16 (HR: 0.58; p = 0.0198), α-9 genera (HR: 0.37; p = 0.0106) and p16 overexpression (HR: 0.54; p = 0.032) were associated with better survival. HPV16 (HR: 0.63; p = 0.0174) and α-9 genera (HR: 0.57; p = 0.0286) were associated with less relapse. In the multivariate analysis, only the International Federation of Gynecology and Obstetrics (FIGO) stage retained an independent prognostic value. HPV16, α-9 genera and p16 overexpression were associated with better survival, although not as independent prognostic factors. Patients with p16-negative HPV-associated CC were older, presented with advanced disease and had worse prognosis.

Better or Worse? The Independent Prognostic Role of HPV-16 or HPV-18 Positivity in Patients With Cervical Cancer: A Meta-Analysis and Systematic Review

Background: The literature reports conflicting results regarding the effect of human papillomavirus (HPV) genotype 16 (HPV-16)/18 (HPV-18) positivity on cervical cancer (CC) prognosis.

Aim: To conduct a meta-analysis to examine the effect of HPV-16/18 positivity on the prognosis of patients with CC.

Methods: PubMed, Embase, and the Cochrane Library were searched for available papers published up to March 2020. The main outcome was the hazard ratio (HR) of overall survival (OS) or disease-free survival (DFS) comparing HPV-16 or HPV-18 positivity and negativity. The random-effects model was used for synthesizing survival outcomes.

Results: Nine studies and 2,028 patients were included. Four studies reported OS in HPV-16 positivity, and no association was found between HPV-16 positivity and OS to CC (HR = 0.79, 95% CI: 0.26–2.39, P = 0.675). Three studies reported DFS in HPV-16 positivity, and no association was found between HPV-16 positivity and DFS to CC (HR = 0.80, 95% CI: 0.30–2.11, P = 0.654). Two studies reported DFS in HPV-18 positivity, and no association was found between HPV-18 positivity and DFS to CC (HR = 0.99, 95% CI: 0.55–1.78, P = 0.984). One study reported progression-free survival (PFS) in HPV-18 positivity, and an association was observed between HPV-18 positivity and PFS to CC (HR = 2.66, 95% CI: 1.44–4.94, P = 0.002). The sensitivity analyses showed that one study biased the analysis of the association between HPV-16 and OS, and another study biased the association between HPV-16 and DFS.

Conclusion: The presence of HPV-16 and HPV-18 positivity appears to have no significant association with prognosis in CC in either OS or PFS. The presence of HPV-16 or HPV-18 positivity has no significant association with prognosis in CC in either OS or PFS.

Clinicopathologic Features of Anal and Perianal Squamous Cell Carcinomas and Their Relationship to Human Papillomavirus

Anal squamous cell carcinomas (ASCCs) frequently harbor human papillomavirus (HPV), most commonly high-risk (HR-) HPV type 16. While p16 immunohistochemistry (IHC) is typically used as a surrogate for HR-HPV status in the oropharynx and cervix, its overexpression can also occur as a result of oncogenic stress and sometimes prove nonspecific. There have been recent investigations into the use of HPV RNA in situ hybridization (RISH) assays as an alternative method, which have shown robust results for squamous cell carcinomas of the oropharynx and cervix. Our study evaluated HPV RISH and p16 IHC in 50 ASCCs, as well as the clinicopathologic features of ASCC relative to HPV status. We found that HPV RISH and p16 IHC were closely in agreement with 96% concordance. Using the 2 methodologies, 78% of ASCCs were HR-HPV positive, 10% were low-risk HPV positive, and 12% were HPV-negative. None of our cases showed co-infection across HR-HPV and low-risk HPV. ASCCs that were not related to HR-HPV were more likely to have a typical keratinizing morphology (P=0.05) and more likely to involve the perianal area (P=0.006). HPV-negative cases were particularly aggressive with high rates of metastases and patient death within 2 years of diagnosis. Overall, HPV RISH appears to be a reliable methodology for testing, and HPV status may have implications for prognostication of ASCCs.

Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer

Pre-treatment survival prediction plays a key role in many diseases. We aimed to determine the prognostic value of pre-treatment Magnetic Resonance Imaging (MRI) based radiomic score for disease-free survival (DFS) in patients with early-stage (IB-IIA) cervical cancer.

Methods: A total of 248 patients with early-stage cervical cancer underwent radical hysterectomy were included from two institutions between January 1, 2011 and December 31, 2017, whose MR imaging data, clinicopathological data and DFS data were collected. Patients data were randomly divided into the training cohort (n = 166) and the validation cohort (n=82). Radiomic features were extracted from the pre-treatment T2-weighted (T2w) and contrast-enhanced T1-weighted (CET1w) MR imagings for each patient. Least absolute shrinkage and selection operator (LASSO) regression and Cox proportional hazard model were applied to construct radiomic score (Rad-score). According to the cutoff of Rad-score, patients were divided into low- and high- risk groups. Pearson's correlation and Kaplan-Meier analysis were used to evaluate the association of Rad-score with DFS. A combined model incorporating Rad-score, lymph node metastasis (LNM) and lymphovascular space invasion (LVI) by multivariate Cox proportional hazard model was constructed to estimate DFS individually.

Results: Higher Rad-scores were significantly associated with worse DFS in the training and validation cohorts (P<0.001 and P=0.011, respectively). The Rad-score demonstrated better prognostic performance in estimating DFS (C-index, 0.753; 95% CI: 0.696-0.805) than the clinicopathological features (C-index, 0.632; 95% CI: 0.567-0.700). However, the combined model showed no significant improvement (C-index, 0.714; 95%CI: 0.642-0.784).

Conclusion: The results demonstrated that MRI-derived Rad-score can be used as a prognostic biomarker for patients with early-stage (IB-IIA) cervical cancer, which can facilitate clinical decision-making.

Differential effect of GLUT1 overexpression on survival and tumor immune microenvironment of human papilloma virus type 16-positive and -negative cervical cancer

Glucose transporter-1 (GLUT1) has been proposed as a prognosticator in various cancers associated with therapeutic resistance and immune evasion; however little data is available on the role of GLUT1 in cervical cancer. Most cervical cancers are caused by human papilloma virus (HPV), but studies on the treatment response and prognosis depending on the HPV subtype, are conflicting. This hypothesis-generating study aims to investigate the prognostic impact of GLUT1 in cervical cancer, in conjunction with HPV subtype. Clinicopathologic factors, along with mRNA expression data were obtained using The Cancer Genome Atlas database. Tumor HPV status and immune cell scores were extracted from previous publications. In total, 298 patients were analyzed. High GLUT1 expression was associated with old age, squamous cell carcinoma, high tumor stage, pelvic lymph node metastases, and low hysterectomy rate. Multivariate survival analysis revealed that high GLUT1 expression (Hazard ratio (HR) 2.57, p = 0.002) and HPV16 subtype (HR 0.56, p = 0.033) were independent prognostic factors for overall survival. In the subgroup analysis, poor prognostic impact of high GLUT1 expression was maintained in HPV16-positive group (p < 0.001), but not in HPV16-negative group (p = 0.495). Decreased immune cell scores of CD8⁺ T cells, B cells, and Th1 cells by high GLUT1 expression were observed only in HPV16-positive group. In conclusion, these results suggested that GLUT1 expression and HPV16 subtype might have an independent prognostic value in cervical cancer. GLUT1-mediated immunomodulation might be an important cause of treatment failure, especially in HPV16-positive group.

Enhancing prognosis prediction using pre-treatment nodal SUVmax and HPV status in cervical squamous cell carcinoma

BACKGROUND

This study was to evaluate the prognostic value of metabolic parameters on F-18-FDG PET/CT and the status of human papillomavirus (HPV) infection and known prognostic variables for predicting tumor recurrence and investigating a prognostic model in patients with locally advanced cervical cancer treated with concurrent chemoradiotherapy (CCRT).

METHODS

A total of 129 patients with cervical squamous cell carcinoma who underwent initial CCRT were eligible for this study. Univariate and multivariate analyses were performed using traditional prognostic factors, metabolic parameters, and HPV infection. Classification and regression decision tree (CART) was used to establish new classification.

RESULTS

Among 129 patients, 29 patients (22.5%) had recurrence after a median follow-up of 60 months (range, 3-125 months). Tumor size, para-aortic lymph node metastasis, nodal SUVmax, and HPV infection status were identified as independent prognostic factors by multivariate analysis. The CART analysis classified the patients into three groups. The first node was nodal SUVmax, and HPV status was the second node for patients with nodal SUVmax ≤7.49; Group A (nodal SUVmax ≤7.49 and HPV positive, HR 1.0), Group B (nodal SUVmax ≤7.49 and HPV negative, HR 3.56), and Group C (nodal SUVmax > 7.49, HR 10.13). Disease-free survival was significantly different among the three groups (p < 0.001).

CONCLUSION

The nodal SUVmax on F-18 FDG PET/CT and HPV infection status before CCRT are powerful independent prognostic factors for the prediction of disease-free survival in patients with cervical squamous cell carcinoma who underwent initial CCRT. We also suggest a simple prognosis prediction model using pre-treatment FDG PET/CT and HPV genotyping; however, it needs further validation in an independent dataset.

Prevalence, survival outcomes, and clinicopathologic factors associated with negative high risk human papillomavirus in surgical specimens of cervical cancer with pretreatment negative DNA genotype test

OBJECTIVE

The aim of this study was to detect high risk human papillomavirus in cervical cancer with a pretreatment negative high risk human papillomavirus DNA genotype test and to evaluate clinicopathologic characteristics and survival outcomes according to high risk human papillomavirus status.

METHODS

We investigated high risk human papillomavirus status in surgical specimens from 30 cases of cervical cancer using polymerase chain reaction. Polymerase chain reaction primers were set to detect the presence of the common L1 and E7 regions of human papillomavirus types 16, 18, 31, 33, 45, 52, and 58. We analyzed the following clinicopathologic parameters to evaluate their relationships with high risk human papillomavirus status: age, histology, stage, tumor size, invasion depth, lymphovascular invasion, and recurrent status.

RESULTS

Among 30 cases with a pretreatment negative DNA genotype test, high risk human papillomavirus was detected in 12 (40.0%), whereas 18 (60.0%) were negatives. Of 12 high risk human papillomavirus positive cases, 10 (33.3%) were positive for the L1 region, 6 (20.0%) of the 7 types were positive for the E7 region, and 4 (13.1%) were positive for both L1 and E7 regions. According to a multiple logistic regression model, tumor size (odds ratio 7.80; 95% confidence interval 1.476 to 41.216; P=0.0097) and stage (odds ratio 7.00; 95% confidence interval 1.293 to 37.910; P=0.0173) were associated with negative high risk human papillomavirus DNA status. Kaplan-Meier survival plots showed that negative high risk human papillomavirus status was associated with worse disease free survival in contrast with positive high risk human papillomavirus status (P=0.0392).

CONCLUSIONS

Negative high risk human papillomavirus was found in 60% of cervical cancers with a pretreatment negative DNA genotype test. Moreover, the negative high risk human papillomavirus group was associated with worse survival outcome.