Survival and prognostic factors in primary vaginal cancer: an analysis of 2004-2014 SEER data

Prognosis of keratinizing squamous cell carcinoma of the female reproductive system: A retrospective study

Objective: The aim of this study was to compare the competing risk model with the Cox model to evaluate prognostic markers in females with keratinized squamous cell carcinoma of the reproductive system and to develop predictive models. Methods: Patients with keratinizing squamous cell carcinoma of the female reproductive system were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Using the cumulative incidence function (CIF) and Gray's test for univariate analysis, the competing risk and Cox models were used for multivariate analysis. A nomogram was developed based on the results of the competing risk model, and the C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to evaluate the model's discrimination ability. The clinical validity of the model was assessed using calibration plots and decision curve analysis (DCA). Results: In this investigation, competing risk model analysis revealed that age, marital status, tumor size, AJCC stage, surgery, radiotherapy, chemotherapy, postoperative lymph node dissection, surgery and radiotherapy, and income were significant factors affecting the prognosis of patients with keratinizing squamous cell carcinoma of the female reproductive system. Based on these results, a nomogram for predicting the 3-year, 5-year, and 8-year survival rates was established. The nomogram demonstrated better clinical utility than the AJCC staging system. Conclusion: For the first time, the competing risk model was used in this study to assess the prognostic risk factors of keratinizing squamous cell carcinoma of the female reproductive system. The results may help clinicians make better clinical judgments. Additionally, we developed a nomogram to predict the likelihood of cancer-specific death (CSD) in patients at 3, 5, and 8 years. Physicians may use our nomogram to more accurately forecast the likelihood of CSD compared to the AJCC staging system.

Human papillomavirus prevalence, genotype distribution, and prognostic factors of vaginal cancer

We aimed to investigate human papillomavirus (HPV) prevalence and genotype distribution and prognostic factors in vaginal cancer (VC). VC patients who received treatment between 1989 and 2020 were retrospectively reviewed. L1 general polymerase chain reaction (PCR) followed by HPV Blot (King Car, I-Lan, Taiwan) and E6 type-specific-PCR were performed for genotyping firstly. P16 and p53 immunohistochemistry staining was performed. Univariate and multivariate analyses identified predictors of clinical outcomes.79 VC patients were eligible for analysis. 73 patients (92.4%) were squamous cell carcinoma (SCC) and 6 (7.6%) as non-SCC. The median follow-up time was 134.3 months (range 0.9-273.4). Among nine initially HPV-negative cases, seven were identified as being positive through HPV16/18/45/52/58 whole-genome amplification followed by Sanger sequencing (WGASS). HPV DNA sequences were detected in 98.6% of SCC and 83.3% of non-SCC, respectively, with HPV16 (49.4%), HPV52 (15.2%) and HPV58 (8.9%) being predominant. Patients with paraaortic lymph node (LN) metastasis had a 5-year cancer-specific survival (CSS) rate of 0%. Multivariate analysis revealed that only p16 and stage were significantly correlated with prognosis. Variables with strong correlations (p16- and HPV-positivity, LN metastasis and stage), were included in models 2-5 alternatively. Stage III/IV (hazard ratio [HR] = 3.64-4.56) and LN metastasis (HR = 2.81-3.44) were significant negative predictors of CSS, whereas p16-positivity (HR = 0.29-0.32) and HPV-positivity (HR = 0.14) were related to better prognosis. In conclusion, 97.5% of VCs were HPV-positive with WGASS. Stage III/IV and LN metastasis were significant negative predictors, whereas p16- and HPV-positivity were significantly associated with better prognosis.

A rare case of rectovaginal squamous cell carcinoma in a postmenopausal woman

Primary squamous cell carcinoma of the rectovaginal septum is rare, with only a few previous cases being reported. We present a case of a 55-year-old woman with primary squamous cell carcinoma of the rectovaginal septum, which was discovered after 2 months of postmenopausal bleeding. Her imaging, surgical course, pathology and treatment course are presented here. To our knowledge, this is only the third such reported case in the literature and management underscores the need for multidisciplinary involvement.

Structured Literature Review to Identify Human Papillomavirus's Natural History Parameters for Dynamic Population Models of Vaccine Impacts

Human papillomavirus (HPV) is a common sexually transmitted virus that can cause cervical cancer and other diseases. Dynamic transmission models (DTMs) have been developed to evaluate the health and economic impacts of HPV vaccination. These models typically include many parameters, such as natural history of the disease, transmission, demographic, behavioral, and screening. To ensure the accuracy of DTM projections, it is important to parameterize them with the best available evidence. This study aimed to identify and synthesize data needed to parametrize DTMs on the natural history of HPV infection and related diseases. Parameters describing data of interest were grouped by their anatomical location (genital warts, recurrent respiratory papillomatosis, and cervical, anal, vaginal, vulvar, head and neck, and penile cancers), and natural history (progression, regression, death, cure, recurrence, detection), and were identified through a systematic literature review (SLR) and complementary targeted literature reviews (TLRs). The extracted data were then synthesized by pooling parameter values across publications, and summarized using the range of values across studies reporting each parameter and the median value from the most relevant study. Data were extracted and synthesized from 223 studies identified in the SLR and TLRs. Parameters frequently reported pertained to cervical cancer outcomes, while data for other anatomical locations were less available. The synthesis of the data provides a large volume of parameter values to inform HPV DTMs, such as annual progression rates from cervical intraepithelial neoplasia (CIN) 1 to CIN 2+ (median of highest quality estimate 0.0836), CIN 2 to CIN 3+ (0.0418), carcinoma in situ (CIS) 2 to local cancer+ (0.0396), and regional to distant cancer (0.0474). Our findings suggest that while there is a large body of evidence on cervical cancer, parameter values featured substantial heterogeneity across studies, and further studies are needed to better parametrize the non-cervical components of HPV DTMs.

Treatment patterns and outcomes of patients with locally advanced vulvar or vaginal cancer in British Columbia

OBJECTIVE

As vulvar and vaginal cancers are rare malignancies, treatment is extrapolated from the cervical cancer field. Further studies are necessary to evaluate whether surgery, radiotherapy (RT), or combined chemoRT is most beneficial.

METHODS

A retrospective chart review was conducted on patients diagnosed with vulvar or vaginal cancer in 2000-2017. Descriptive statistics was used to summarize demographic factors. Kaplan-Meier curves, log-rank tests, multivariate analysis with hazard ratios (HR) were conducted to compare survival outcomes, including overall survival (OS), disease-free survival, and cancer-specific survival, between surgery, RT, and chemoRT.

RESULTS

This study included 688 patients with either vulvar (n = 560, 81%) or vaginal cancer (n = 128, 19%). Median age of diagnosis was 68 (27-98) years. In multivariate survival analysis, vulvar cancer was associated with more likelihood of death (HR: 1.50, p = 0.042) compared to vaginal cancer. For patients who received definitive RT, median OS was 63.8 months with concurrent chemotherapy vs. 46.3 months without for vulvar cancer (p = 0.75); for vaginal, median OS 100.4 with chemotherapy vs. 66.6 months without (p = 0.31). For vulvar cancer patients who received RT (n = 224), adding chemotherapy (n = 100) was not associated with statistically significant OS improvement (HR: 0.989, p = 0.957). Similarly, vaginal cancer patients who received chemoRT (n = 51) did not have significant OS benefit (HR: 0.720, p = 0.331) over patients who received RT (n = 49).

CONCLUSIONS

In this retrospective study, chemoRT was not associated with significant improvements in survival compared to RT in vulvar or vaginal cancer. Future studies investigating novel therapies to treat these cancers are needed to improve patient outcomes.

Development and validation of models for predicting the overall survival and cancer-specific survival of patients with primary vaginal cancer: A population-based retrospective cohort study

Background

No models have been developed to predict the survival probability for women with primary vaginal cancer (VC) due to VC’s extreme rareness. We aimed to develop and validate models to predict the overall survival (OS) and cancer-specific survival (CSS) of VC patients.

Methods

A population-based multicenter retrospective cohort study was carried out using the 2004–2018 Surveillance, Epidemiology, and End Results Program database in the United States. The final multivariate Cox model was identified using the Brier score and Harrell’s C concordance statistic (C-statistic). The decision curve, calibration plot, and area under the time-dependent receiver operating characteristic curve (AUC) were used to evaluate model prediction performance. Multiple imputation followed by bootstrap was performed. Bootstrap validation covered the entire statistic procedure from model selection to baseline survival and coefficient calculation. Nomograms predicting OS and CSS were generated.

Results

Of the 2,417 eligible patients, 1,692 and 725 were randomly allocated to the training and validation cohorts. The median age (Interquartile range) was 66 (56–78) and 65 (55–76) for the two cohorts, respectively. Our models had larger net benefits in predicting the survival of VC patients than the American Joint Committee on Cancer stage, presenting great discrimination ability and excellent agreement between the expected and observed events. The performance metrics of our models were calculated in three cohorts: the training cohort, complete cases of the validation cohort, and the imputed validation cohort. For the OS model in the three cohorts, the C-statistics were 0.761, 0.752, and 0.743. The slopes of the calibration plots were 1.017, 1.005, and 0.959. The 3- and 5-year AUCs were 0.795 and 0.810, 0.768 and 0.771, and 0.770 and 0.767, respectively. For the CSS model in the three cohorts, the C-statistics were 0.775, 0.758, and 0.755. The slopes were 1.021, 0.939, and 0.977. And the 3- and 5-year AUCs were 0.797 and 0.793, 0.786 and 0.788, and 0.757 and 0.757, respectively.

Conclusion

We were the first to develop and validate exemplary survival prediction models for VC patients and generate corresponding nomograms that allow for individualized survival prediction and could assist clinicians in performing risk-adapted follow-up and treatment.