Body Weight Is a Valid Predictor of the Long-Term Prognosis of Cervical Cancer. (8th June 2022)
- Record Type:
- Journal Article
- Title:
- Body Weight Is a Valid Predictor of the Long-Term Prognosis of Cervical Cancer. (8th June 2022)
- Main Title:
- Body Weight Is a Valid Predictor of the Long-Term Prognosis of Cervical Cancer
- Authors:
- Lu, Li
Ji, Shuqi
Jiang, Jing
Yan, Yu - Other Names:
- Zheng Pan Academic Editor.
- Abstract:
- Abstract : Objective. To identify and validate effective clinical predictors for the long-term prognosis of patients with cervical cancer. Methods . Cervical cancer patients were retrieved from the TCGA database, and patients' clinical data were collected and analyzed for the predictive value of long-term prognosis. In the other branch of the study, patients with cervical cancer and admitted to our hospital between January 1, 2016, and December 31, 2016, were retrieved and followed up for prognosis analysis. Results . In the database patient cohort of our study, 607 cases with cervical cancer were analyzed. Aneuploidy score (p = 0.012 ), Buffa hypoxia score (p = 0.013 ), histologic grade (p = 0.01 ), fraction genome altered >0.4 (p < 0.001 ), weight > 60 kg (p < 0.001 ), height > 160 cm (p = 0.047 ), BMI <18.5 (p = 0.023 ), Winter hypoxia score (p = 0.002 ), and adjuvant postoperative radiotherapy were good predictors for disease-free survival (DFS), while aneuploidy score (p = 0.001 ), MSI sensor score > 0.5 (p = 0.035 ), person neoplasm status (p < 0.001 ), race (p = 0.006 ), Ragnum hypoxia score (p = 0.012 ), weight (p < 0.001 ), height (p < 0.001 ), and BMI < 18.5 (p = 0.04 ) were good predictors for overall survival (OS). In the admitted patient cohort, age over 60 years old at the time of diagnosis was the only clinical factor influencing the long-term DFS (p = 0.004 ). TNM stage above III (p = 0.004 ), body weight > 70 kg (p < 0.001 ), and complicated with otherAbstract : Objective. To identify and validate effective clinical predictors for the long-term prognosis of patients with cervical cancer. Methods . Cervical cancer patients were retrieved from the TCGA database, and patients' clinical data were collected and analyzed for the predictive value of long-term prognosis. In the other branch of the study, patients with cervical cancer and admitted to our hospital between January 1, 2016, and December 31, 2016, were retrieved and followed up for prognosis analysis. Results . In the database patient cohort of our study, 607 cases with cervical cancer were analyzed. Aneuploidy score (p = 0.012 ), Buffa hypoxia score (p = 0.013 ), histologic grade (p = 0.01 ), fraction genome altered >0.4 (p < 0.001 ), weight > 60 kg (p < 0.001 ), height > 160 cm (p = 0.047 ), BMI <18.5 (p = 0.023 ), Winter hypoxia score (p = 0.002 ), and adjuvant postoperative radiotherapy were good predictors for disease-free survival (DFS), while aneuploidy score (p = 0.001 ), MSI sensor score > 0.5 (p = 0.035 ), person neoplasm status (p < 0.001 ), race (p = 0.006 ), Ragnum hypoxia score (p = 0.012 ), weight (p < 0.001 ), height (p < 0.001 ), and BMI < 18.5 (p = 0.04 ) were good predictors for overall survival (OS). In the admitted patient cohort, age over 60 years old at the time of diagnosis was the only clinical factor influencing the long-term DFS (p = 0.004 ). TNM stage above III (p = 0.004 ), body weight > 70 kg (p < 0.001 ), and complicated with other cancer (p < 0.001 ) were clinical factor influencing the long-term OS. Conclusions. Clinical factors, especially common to both cohorts, could be used to show the long-term prognosis of cervical cancer. … (more)
- Is Part Of:
- Computational and mathematical methods in medicine. Volume 2022(2022)
- Journal:
- Computational and mathematical methods in medicine
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-06-08
- Subjects:
- Medicine -- Computer simulation -- Periodicals
Medicine -- Mathematical models -- Periodicals
610.11 - Journal URLs:
- https://www.hindawi.com/journals/cmmm/ ↗
- DOI:
- 10.1155/2022/5613350 ↗
- Languages:
- English
- ISSNs:
- 1748-670X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.573000
British Library HMNTS - ELD Digital store - Ingest File:
- 22398.xml