Analysis of related risk factors of lung metastasis after laparoscopic radical hysterectomy of cervical cancer

Henglian, Liu; Wang, Jiajun; Wang, Caixia; Lü, Gang; Xia, Min

doi:10.1097/md.0000000000024480

Cited by 6 publications

(6 citation statements)

References 23 publications

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“…[15,16] Lung is the main metastasis organ of CC, and the probability of lung metastasis is about 4.16% to 7.70%. [14,17] As expected, lung metastasis was also identified as the powerful prognostic factor for OS and CSS in this study. It has been reported that mCC patients with lung metastasis had a remarkably good prognosis compared with other metastatic sites.…”

Section: Discussionsupporting

confidence: 84%

Prognostic models for predicting overall and cancer-specific survival of patients with initially diagnosed metastatic cervical squamous cell carcinoma: A study based on SEER database

Ding

Zhou

et al. 2023

Medicine

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Cervical squamous cell carcinoma (CSCC) is the most common histological type of cervical cancer (CC). And mCSCC is the end stage of CSCC. The aim of this study was to develop prognostic nomograms that provide better predictions for overall survival (OS) and cancer-specific survival (CSS) in mCSCC patients. Data from patients with initially diagnosed mCSCC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. The nomograms for OS and CSS were constructed based on Cox regression analysis. The validation of the newly established nomograms was evaluated by concordance index (C-index), calibration curves, and decision curve analyses (DCAs). A total of 2198 patients with mCSCC were included and randomly split into training (n = 1539) and validation (n = 659) cohorts in a 7:3 ratio. Multivariate analyses revealed that the prognostic variables significantly related to the OS and CSS were marital status, T stage, brain metastasis, lung metastasis, tumor size, number of positive lymph nodes, chemotherapy, and radiotherapy. The nomograms were constructed based on these factors. The C-index value of the nomograms for predicting OS and CSS was 0.714 and 0.683, respectively. The calibration curves of the nomograms showed good consistency between nomogram prediction and actual survival for both OS and CSS, and the DCAs showed great clinical usefulness of the nomograms. The mCSCC patients were classified into low- and high-risk groups based on the scores from the nomograms. In the validation cohort, mCSCC patients with low-risk had much higher OS and CSS than those with high-risk. We constructed nomograms for predicting the OS and CSS of patients with initially diagnosed mCSCC. Our models had satisfactory predictive performance and could be useful in survival prediction for mCSCC.

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Section: Discussionsupporting

confidence: 84%

Prognostic models for predicting overall and cancer-specific survival of patients with initially diagnosed metastatic cervical squamous cell carcinoma: A study based on SEER database

Ding

Zhou

et al. 2023

Medicine

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“…Finally, the formation of vascular tumor thrombus has been confirmed to be closely related to distant metastasis and lymph node metastasis (23,24). Up to now, previous studies have confirmed that increased CEA, high TNM staging, peripheral invasion and vascular tumor thrombus were independent risk factors of death in non-small cell lung cancer, supporting our study (18,19,22,23). However, the prognosis of patients with non-small cell lung cancer is affected by many factors, so the predictive value of a single biological indicator on prognosis is limited.…”

Section: Discussionmentioning

confidence: 94%

“…When peripheral invasion occurs, it indicates that the tumor has potential to spread, leading to postoperative recurrence and metastasis, and eventually death (22). Finally, the formation of vascular tumor thrombus has been confirmed to be closely related to distant metastasis and lymph node metastasis (23,24). Up to now, previous studies have confirmed that increased CEA, high TNM staging, peripheral invasion and vascular tumor thrombus were independent risk factors of death in non-small cell lung cancer, supporting our study (18,19,22,23).…”

Section: Discussionmentioning

confidence: 98%

Establishment and validation of a long-term prognosis prediction model for patients with non-small cell lung cancer

Yu¹,

Tan²,

Xu³

2023

J Thorac Dis

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Background: The incidence of non-small cell lung cancer ranks second among malignant tumors, while the mortality rate ranks first. We established a prediction model for the long-term prognosis of lung cancer patients to accurately identify patients with a high risk of postoperative death and provide a theoretical basis for improving the prognosis of patients with non-small cell lung cancer. Methods:The data of 277 non-small cell lung cancer patients who underwent radical lung cancer resection at Shanghai Fengxian District Central Hospital between January 2016 and December 2017 were retrospectively collected. The patients, who were followed up for 5 years, were divided into a deceased group (n=127) and survival group (n=150) according to whether the patients had died 5 years after surgery or not. The clinical characteristics of the two groups were observed, and the risk factors of death within 5 years of surgery in lung cancer patients were analyzed. A nomogram predictive model was then established to analyze the value of the model in predicting the death within 5 years of surgery in patients with non-small cell lung cancer.Results: Multivariate logistics regression analysis showed that carcinoembryonic antigen (CEA) >193.5 ng/mL, stage III lung cancer, peritumor invasion, and vascular tumor thrombus were independent risk factors of tumor-specific death after surgery in patients with non-small cell lung cancer (P<0.05). R 4.0.3 statistical software was used to randomly divide the dataset into a training set and validation set. The sample size of the training set was 194, and the sample size of the validation set was 83. The area under the receiver operating characteristic (ROC) curve was 0.850 [95% confidence interval (CI): 0.796-0.905] in the training set, and it was 0.779 (95% CI: 0.678-0.880) in the validation set. In the validation set, the model was assessed using the Hosmer-Lemeshow goodness-of-fit test, with a chi-square value of 9.270 and a P value of 0.320.Conclusions: Our model could accurately identify high risk of death within 5 years of surgery in nonsmall cell lung cancer patients. Strengthening the management of high-risk patients may help improve the prognosis of these patients.

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“…However, at the onset of metastasis, the 5-year survival rate decreases to 16.5%. Notably, the occurrence rate of cervical cancer with lung metastasis ranges from 2.2% to 9.1%, with patients exhibiting concomitant lung metastasis experiencing significantly decreased survival rates ( 3 , 4 ). Hence, a comprehensive examination of the pathological features and prognostic factors associated with lung metastasis in cervical cancer patients represents a pivotal concern within the realm of clinical treatment.…”

Section: Introductionmentioning

confidence: 99%

Construction and validation of an innovative prognostic nomogram for overall survival in cervical cancer patients with lung metastasis: an analysis utilizing the SEER database

Chang,

Zhao

2024

Front. Oncol.

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PurposeTo facilitate patient consultation and assist in clinical decision-making, we developed a predictive model to analyze the overall survival (OS) rate of cervical cancer patients with concurrent lung metastasis for 6 months, 1 year, or 2 years.MethodsWe extracted data on patients diagnosed with cervical cancer and concurrent lung metastasis between 2010 and 2020 from the Surveillance, Epidemiology, and End Results (SEER) database. Through a random assignment process, these patients were allocated to either a training cohort or a validation cohort, maintaining a 7:3 ratio. Utilizing both univariate and multivariate Cox regression analyses, we determined the independent prognostic factors influencing OS. To enhance predictive accuracy, we developed a nomogram model incorporating these identified independent prognostic variables. Model effectiveness was subsequently assessed using various metrics, including receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA).ResultsWe gathered data on 1330 patients diagnosed with cervical cancer with lung metastases. An OS nomogram was developed, accounting for factors such as histological type, presence of metastases in other organs (brain, liver), surgical interventions, radiation therapy, and chemotherapy. The ROC curves, calibration plots, and DCA curves demonstrated the commendable predictive performance of the nomogram in assessing the prognosis of cervical cancer patients with lung metastases in both the training and validation cohorts.ConclusionBy utilizing clinical data from the SEER database, we have effectively devised a nomogram capable of predicting the 6-month, 1-year, and 2-year survival rates of cervical cancer patients with lung metastases. The nomogram boasts high accuracy, offering precise prognostic predictions. Its implementation can guide the formulation of individualized follow-up and treatment plans for enhanced patient care.

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Analysis of related risk factors of lung metastasis after laparoscopic radical hysterectomy of cervical cancer

Cited by 6 publications

References 23 publications

Prognostic models for predicting overall and cancer-specific survival of patients with initially diagnosed metastatic cervical squamous cell carcinoma: A study based on SEER database

Prognostic models for predicting overall and cancer-specific survival of patients with initially diagnosed metastatic cervical squamous cell carcinoma: A study based on SEER database

Establishment and validation of a long-term prognosis prediction model for patients with non-small cell lung cancer

Construction and validation of an innovative prognostic nomogram for overall survival in cervical cancer patients with lung metastasis: an analysis utilizing the SEER database

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