Radiotherapy Improves the Survival of Patients With Metastatic Cervical Cancer: A Propensity-Matched Analysis of SEER Database

Cost analysis of three-dimensional radiation therapy versus intensity-modulated chemoradiotherapy for locally advanced cervical cancer in Peruvian citizens

Background and objectives

The standard treatment for locally advanced cervical cancer (CC) is chemoradiotherapy (CTRT) followed by high-dose-rate brachytherapy (HDRBT). The ideal scenario would be under novel intensity-modulated radiation therapy (IMRT) volumetric-modulated arc therapy (VMAT) radiation techniques over three-dimensional (3D) radiation therapy. However, radiotherapy (RT) centres in low- and middle-income countries have limited equipment for teletherapy services like HDRBT. This is why the 3D modality is still in use. The objective of this study was to analyse costs in a comparison of 3D versus IMRT versus VMAT based on clinical staging.

Materials and methods

From 02/01/2022 to 05/01/2023 a prospective registry of the costs for oncological management was carried out for patients with locally advanced CC who received CTRT ± HDRBT. This included the administration of radiation with chemotherapy. The cost associated with patient and family transfers and hours in the hospital was also identified. These expenses were used to project the direct and indirect costs of 3D versus IMRT versus VMAT.

Results

The treatment regimens for stage IIIC2, including 3D and novel techniques, are those with the highest costs. The administration of 3D RT for IIIC2 and novel IMRT or VMAT techniques, is $3,881.69, $3,374.76, and $2,862.80, respectively. The indirect cost from stage IIB to IIIC1 in descending order is IMRT, 3D and VMAT, but in IIIC2 the novel technique regimens reduce by up to 33.99% compared to 3D.

Conclusion

In RT centres with an available supply of RT equipment, VMAT should be preferred over IMRT/3D since it reduces costs and toxicity. However, in RT centres where demand exceeds supply in the VMAT technique planning systems, the use of 3D teletherapy over IMRT/VMAT could continue to be used in patients with stage IIB to IIIC1.

Dynamic Nomogram Based on the Metastatic Number and Sites and Therapy Strategies Predicting the Prognosis of Patients with Metastatic Cervical Cancer

Background

Individual survival prediction is of vital importance to optimize the individualized treatment of metastatic cervical cancer (mCC) patients. The goal of this study was to identify the potential risk factors for the survival of mCC patients and construct a nomogram for their prognosis.

Methods

Medical records of patients with newly diagnosed mCC at the First Affiliated Hospital of Xi'an Jiaotong University were reviewed retrospectively. Risk factors were identified using Cox proportional hazards analysis and Kaplan-Meier curves. Random forest was used to identify factors associated with therapy strategy. Nomogram and dynamic nomogram were established using 'rms' and "DynNom" R package.

Results

A total of 98 patients with mCC were finally identified. In Cox analyses, multiple metastases and concurrent chemoradiotherapy (CCRT) were identified as independent predictors for overall survival (OS). We further explored the prognostic value of metastatic number and sites and therapy strategies for mCC patients by Kaplan-Meier curves. A dynamic nomogram including metastases number and sites (multiple metastases, liver and lymph node (LN) above diaphragm metastases) and chemoradiotherapy strategies (CCRT, postradiotherapy chemotherapy, and radiotherapy to metastatic sites) was constructed for predicting the prognosis of mCC patients. For newly diagnosed patients, we strongly recommended the combination of chemotherapy and definitive pelvic radiotherapy and, if possible, radiation to metastatic site, but CCRT should be implemented with caution. We constructed a dynamic nomogram indicating that patients with younger age, shorter symptom duration, and better laboratory test results are suitable for CCRT.

Conclusion

Survival analyses showed that the metastatic number and sites and therapy strategies are associated with the prognosis of mCC patients. The CCRT and prognostic nomograms may help clinicians to make better clinical decisions and effectively predict the prognosis for newly diagnosed mCC patients.

Palliative radiotherapy in cancers of female genital tract: Outcomes and prognostic factors

BACKGROUND AND PURPOSE

Metastatic and incurable cancers of the gynaecological tract (FGTC) represent a major global health burden. Systemic treatment has modest efficacy and radiotherapy is often used for local symptoms. This study combines experience from two large UK centres in palliative radiotherapy for gynaecological cancers.

MATERIALS AND METHODS

Pooled data from two major centres was analysed. Advanced FGTC patients who received at least one fraction of palliative radiotherapy to the pelvis between 2013 and 2018 were included. Data collected included demographic and tumour details, radiotherapy dose fractionation and details of previous and subsequent treatment. Response was defined in terms of toxicity, symptomatic response and survival. Comorbidities were recorded using a modified ACE 27 score which is adjusted for the presence of uncontrolled FGTC in all the patients.

RESULTS

A total of 184 patients were included for treatment response and toxicity; survival data was available for 165 patients. Subjective response in pre-radiotherapy symptoms was documented in 80.4%. Grade 3 or worse gastrointestinal, urinary and other (vomiting, fatigue, pain) toxicity incidence was 2.2%, 3.8%, and 2.7% respectively. No statistically significant correlation between the prescribed EQD210 and symptom control or toxicity was seen. 1 year overall survival was 25.1% (median 5.9 months). Absent distant metastases, completion of the intended course of radiotherapy, response to radiotherapy, and receipt of further lines of treatment were independent prognostic factors.

CONCLUSION

Palliative radiotherapy is effective for symptoms of advanced FGTC with low toxicity. The absence of a dose response argues for short low dose palliative radiotherapy schedules to be used.

Development and validation of a nomogram for predicting pelvic lymph node metastasis and prognosis in patients with cervical cancer

Objective

Cervical cancer (CC) is one of the main causes of death among gynecological malignancies. Patients with CC with lymph node metastasis (LNM) have poor prognoses. We investigated the risk factors and prognosis of LNM in patients with CC patients using data from the SEER database.

Methods

We collected the information of cervical cancer patients registered in SEER database from 2010 to 2015. The dataset was divided into a training set and a validation set at a 7:3 ratio. LASSO regression analysis was used to evaluate risk factors for LNM in patients with CC. Using the results, we established a nomogram prediction model. C-index, ROC curves, calibration curves, decision curve analysis, and clinical impact curves were used to evaluate the prediction performance of the model.

Results

We included 14,356 patients with CC in the analysis. Among these, 3997 patients were diagnosed with LNM. A training set (10,050 cases) and a validation set (4306 cases) were used for the following analysis. We established nomogram LNM prediction models for the patients with T_1-2-stage CC. The C-indices for the internal and external validations of the prediction models were 0.758 and 0.744, respectively. In addition, we established a prognostic nomogram for all CC patients with LNM, and the internal and external validation C-indices were 0.763 and 0.737.

Conclusion

We constructed a quantitative and visual predictive nomogram that predicted prognosis of patients with LNM in CC to provide clinicians with a reference for diagnosis and treatment.

Development and Validation of Novel Nomograms to Predict the Overall Survival and Cancer-Specific Survival of Cervical Cancer Patients With Lymph Node Metastasis

Objective

The objective of this study was to establish and validate novel individualized nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) in cervical cancer patients with lymph node metastasis.

Methods

A total of 2,956 cervical cancer patients diagnosed with lymph node metastasis (American Joint Committee on Cancer, AJCC N stage=N1) between 2000 and 2018 were included in this study. Univariate and multivariate Cox regression models were applied to identify independent prognostic predictors, and the nomograms were established to predict the OS and CSS. The concordance index (C-index), calibration curves, and receiver operating characteristic (ROC) curves were applied to estimate the precision and discriminability of the nomograms. Decision-curve analysis (DCA) was used to assess the clinical utility of the nomograms.

Results

Tumor size, log odds of positive lymph nodes (LODDS), radiotherapy, surgery, T stage, histology, and grade resulted as significant independent predictors both for OS and CSS. The C-index value of the prognostic nomogram for predicting OS was 0.788 (95% CI, 0.762–0.814) and 0.777 (95% CI, 0.758–0.796) in the training and validation cohorts, respectively. Meanwhile, the C-index value of the prognostic nomogram for predicting CSS was 0.792 (95% CI, 0.767–0.817) and 0.781 (95% CI, 0.764–0.798) in the training and validation cohorts, respectively. The calibration curves for the nomograms revealed gratifying consistency between predictions and actual observations for both 3- and 5-year OS and CSS. The 3- and 5-year area under the curves (AUCs) for the nomogram of OS and CSS ranged from 0.781 to 0.828. Finally, the DCA curves emerged as robust positive net benefits across a wide scale of threshold probabilities.

Conclusion

We have successfully constructed nomograms that could predict 3- and 5-year OS and CSS of cervical cancer patients with lymph node metastasis and may assist clinicians in decision-making and personalized treatment planning.

Prognostic Nomogram for Overall Survival of Patients Aged 50 Years or Older with Cervical Cancer

Objective

The prognostic factors of cervical cancer in elderly patients have not been researched systematically. We aimed to investigate the clinicopathological characteristics of patients with cervical cancer aged ≥50 years and establish a nomogram for evaluating their prognoses for overall survival.

Methods

From the Surveillance, Epidemiology, and End Results database, we obtained data of 8538 patients with pathology-confirmed cervical cancer between 2004 and 2015. Patients were divided into training (n = 5941) and validation (n = 2597) cohorts. A nomogram was constructed to evaluate the prognostic prediction value for disease progression. The concordance index, receiver operating characteristic curve, and calibration chart were used to evaluate the model's prediction accuracy and discriminative ability. Survival condition was analyzed using the Kaplan-Meier method.

Results

In the training cohort, age at diagnosis, race, histology, grade, stage, tumor size, number of examined lymph nodes, and treatment significantly correlated with outcome and were used to develop the nomogram. The calibration curve for survival probability showed an excellent agreement between the nomogram-predicted and actual survival in the training cohort.

Conclusion

Our nomogram has less bias and gives better accuracy than the International Federation of Gynecology and Obstetrics staging system and can help set up a more individualized feasible follow-up plan.

Role of locoregional surgery in treating FIGO 2009 stage IVB cervical cancer patients: a population-based study

OBJECTIVE

We aimed to analyse the clinical value of primary site surgery in improving the cancer-specific survival (CSS) and overall survival (OS) of initial metastatic cervical cancer patients.

DESIGN

A population-based retrospective study.

SETTING

National Cancer Institute's Surveillance, Epidemiology and End Results database.

PARTICIPANTS

We analysed 1390 patients with the International Federation of Gynecology and Obstetrics 2009 stage IVB cervical cancer with complete clinical data treated between 2010 and 2016.

INTERVENTIONS

Primary site surgery.

MEASURES

Propensity score matching (PSM) with a ratio of 1:2 was used to balance measure covariates of comparison groups. Survival time was calculated using Kaplan-Meier methods and compared by the log-rank test. To eliminate the bias of site-specific metastasis, clinicopathological factors and subsequent therapy on survival analysis, subgroup analyses stratified by metastasis type, clinicopathological factors and subsequent therapy were employed to evaluate the effect of cervical surgery on survival. Combination of directed acyclic graph and change-in-estimate procedures was performed to indentified confounders, and Cox regression was used to assess the survival benefit of cervical surgery for primary metastatic cervical cancer patients. The consistency of our findings was evaluated through sensitivity analysis.

RESULTS

Matching resulted in two comparison groups with minor differences in most variables. Pre-and-post-PSM, the median CSS and OS in the surgery group were 1.3 and 1.5, 1.1 and 1.2 times of those in the non-surgery group, respectively. Primary site surgery conferred prognosis superiority for patients with metastases to distant lymph node and other sites rather than organ metastases. After PSM and adjusting confounders, local surgery reduced the cancer related and overall mortality rates by 31% and 30%, respectively.

CONCLUSIONS

Surgical procedures could promote survival in patients with primary metastatic cervical cancer and should be considered a therapeutic option for carefully chosen patients.

A Nomogram-Based Risk Classification System Predicting the Overall Survival of Patients With Newly Diagnosed Stage IVB Cervix Uteri Carcinoma

Background: This study constructed and demonstrated a model to predict the overall survival (OS) of newly diagnosed distant metastatic cervical cancer (mCC) patients.

Methods: The SEER (Surveillance, Epidemiology, and End Results) database was used to collect the eligible data, which from 2010 to 2016. Then these data were separated into training and validation cohorts (7:3) randomly. Cox regression analyses was used to identify parameters significantly correlated with OS. Harrell's Concordance index (C-index), calibration curves, and decision curve analysis (DCA) were further applied to verify the performance of this model.

Results: A total of 2,091 eligible patients were enrolled and randomly split into training (n = 1,467) and validation (n = 624) cohorts. Multivariate analyses revealed that age, histology, T stage, tumor size, metastatic sites, local surgery, chemotherapy, and radiotherapy were independent prognostic parameters and were then used to build a nomogram for predicting 1 and 2-year OS. The C-index of training group and validation group was 0.714 and 0.707, respectively. The calibration curve demonstrated that the actual observation was in good agreement with the predicted results concluded by the nomogram model. Its clinical usefulness was further revealed by the DCAs. Based on the scores from the nomogram, a corresponding risk classification system was constructed. In the overall population, the median OS time was 23.0 months (95% confidence interval [CI], 20.5–25.5), 12.0 months (95% CI, 11.1–12.9), and 5.0 months (95% CI, 4.4–5.6), in the low-risk group, intermediate-risk group, and high-risk group, respectively.

Conclusion: A novel nomogram and a risk classification system were established in this study, which purposed to predict the OS time with mCC patients. These tools could be applied to prognostic analysis and should be validated in future studies.

Brachytherapy-based radiotherapy is associated with improved survival for newly diagnosed metastatic cervical cancer

PURPOSE

The purpose of this study was to explore the value of brachytherapy (BT) in metastatic cervical cancer, as it has not been well evaluated before.

METHODS AND MATERIALS

We analyzed 2391 patients with Stage IVB cervical cancer from 2004 to 2015 by using data from the Surveillance, Epidemiology, and End Results registry. The parameters were analyzed by Kaplan-Meier and Cox proportional hazards regression models to evaluate cancer-specific survival (CSS) and overall survival.

RESULTS

In general, both univariate and multivariate analysis showed that age, histologic type, tumor size, and chemotherapy were associated with CSS and overall survival (p < 0.05). Further subgroup analysis showed BT alone or BT combined with external beam radiotherapy improved CSS despite the tumor size. In addition, chemotherapy and chemoradiotherapy prolonged CSS compared with external beam radiotherapy alone or no chemotherapy or radiotherapy independently of tumor size (p < 0.05).

CONCLUSIONS

For newly diagnosed metastatic cervical cancers, BT with or without external beam radiotherapy is associated with improved survival. As an aggressive option, chemoradiotherapy is also a potential treatment strategy.

Radiation therapy for primary tumor of de novo stage IV breast cancer

Despite recent advances in multimodality treatments such as endocrine therapy, chemotherapy, molecularly targeted therapy, and radiation therapy, it is still very difficult to cure de novo stage IV breast cancer patients completely. The traditional role of radiation therapy for these patients has been a palliative treatment strategy that aims to control tumor progression and suppress tumor related symptoms. Recently, several non-randomized retrospective studies on de novo stage IV breast cancer have revealed that locoregional radiation therapy (LRRT) might confer a survival benefit. However, there is no high level evidence to support the impact of LRRT on survival among patients with de novo metastatic disease so far. This article aimed to summarize the literature and to discuss whether treating the primary lesion with radiation therapy could improve clinical survival outcomes among de novo stage IV breast cancer patients. The issue of patient selection will be discussed because not all de novo stage IV breast cancer patients could benefit from LRRT. This article also explores the clinical evidence regarding LRRT for de novo metastatic disease across various cancers such as prostate, uterine cervical, non-small-cell lung, and head and neck cancers. Many retrospective trials have shown the impact of locoregional treatment (LRT) on survival in de novo metastatic breast cancer. However, since the backgrounds of patients treated with LRRT are quite different from those of patients who did not receive LRRT and the treatment consists of surgery and/or radiation therapy, the role of radiation therapy alone remains unclear. Several reports investigated prognostic factors to detect the benefits of LRRT, which still remains conflicting and no consensus exists. However, selected patients with de novo metastatic disease with better performance status, low tumor burden, and estrogen receptor positivity should be considered for the addition of radiation therapy delivered to the primary site. To explore proper decision-making regarding LRRT, further prospective randomized trials are eagerly awaited.

Radiation Therapy for Uterine Cervical Cancer With Lung Metastases Including Oligometastases

BACKGROUND/AIM

To investigate the role and outcomes of radiation therapy (RT) for stage IVB uterine cervical cancer (UCC) patients with lung (oligo) metastases due to the lack of recent reports on the subject.

PATIENTS AND METHODS

The cohort for this retrospective study comprised 23 consecutive patients with UCC (squamous cell carcinoma, n=13) and lung metastases who had received pelvic RT. Ten had lung metastases only, including 7 with oligometastases (≤4 lung metastases); the remaining 13 also had other distant metastases.

RESULTS

Nine (39.1%) of the 22 patients (95.7%) completed RT without interruption. The 1-year primary progression-free rate was 95.2%. The 1-year overall survival rate was 47.2 % (estimated median survival: 9 months). Significant prognostic factors for survival included: i) ≤4 lung metastases (p=0.035), ii) unilateral lung metastases (p=0.039), iii) primary tumor diameter <100 mm (p<0.001), and iv) ECOG performance status <1 (p=0.015).

CONCLUSION

RT is safe and effective for stage IVB UCC patients with lung metastases.

Expression of Angiopoietin and VEGF in Cervical Cancer and its Clinical Significance

OBJECTIVE

The aim of this study was to evaluate the expression of Angiopoietin-1 (Ang-1), Angiopoietin-2 (Ang-2) and vascular endothelial growth factor (VEGF) in cervical cancer and its clinical significance.

METHODS

Immunohistochemical assay was used to examine the expression of Ang-1/2 and VEGF in tumor tissue from 56 cervical squamous cell carcinoma patients treated with operation only (SCC-O group), as well as 51 subjects with cervical squamous cell carcinoma treated with neoadjuvant radiotherapy (SCC-RCO group, n=28) or neoadjuvant chemotherapy (SCC-CO group, n=23). Both microvessel density (MVD) and lymphatic vessel density (LVD) were examined in the three groups through detection of CD34 and D2-40 expression in respective tissue samples.

RESULTS

With the progression of cervical cancer, the positive expression scores of Ang-2 and VEGF were significantly increased (p<0.05). Compared with surgical intervention, neoadjuvant chemoradiotherapy significantly reduced the positive expression scores of Ang-1, Ang-2, and VEGF in cervical cancer tissues (p<0.05). The MVD values of the SCC-CO and SCC-RO groups were significantly reduced as compared to the SCC-O group (p<0.05). Similarly, the LVD values of the SCC-CO and SCC-RO groups were also significantly reduced when compared to those of the SCC-O group (p<0.05). However, LVD values of the SCC-CO and SCC-RO groups were not statistical different (p>0.05).

CONCLUSION

Ang-1, Ang-2 and VEGF may play an important role in the development of cervical cancer. Mutual synergism of Ang-2 and VEGF demonstrated a close relationship with the generation of cervical blood and lymphatic vessels. Cervical cancer radiotherapy and chemotherapy could significantly inhibit the formation of blood vessels and lymphatic vessels in tumor tissue.