Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER
Jia Gu1, Zhifan Zuo2, Lei Sun3
1Department of Otolaryngology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.
Annals of Translational Medicine
|May 16, 2020
Summary
This study identified key prognostic factors for laryngeal sarcoma, a rare cancer. Age, pathology, grade, and surgery significantly impact survival, informing a new predictive nomogram for better patient management.
Area of Science:
- Oncology
- Surgical Pathology
- Biostatistics
Background:
- Laryngeal sarcoma is an extremely rare malignant tumor of the larynx.
- Existing research is limited to case reports or small series, lacking big data analysis on prognostic factors.
- This study aimed to identify prognostic survival factors and develop a predictive nomogram for laryngeal sarcoma.
Purpose of the Study:
- To investigate prognostic survival factors for laryngeal sarcoma using a large dataset.
- To develop and validate a comprehensive nomogram for predicting laryngeal sarcoma patient survival.
- To provide clinicians with a tool for individualized patient management decisions.
Main Methods:
- Utilized data from the Surveillance, Epidemiology, and End Results (SEER) database (1998-2016).
- Employed Kaplan-Meier curves for survival analysis and Cox proportional hazard models for multivariate analysis.
- Integrated independent prognostic factors to construct a predictive nomogram, assessing its calibration with a C-index.
Main Results:
- Included 381 patients with laryngeal sarcoma; median age at diagnosis was 67 years.
- Identified independent risk factors for prognosis: increased age (HR 1.569), pathology (HR 0.834), pathological grade (HR 1.433), and surgical treatment (HR 0.778).
- Developed a nomogram with a C-index of 0.73, indicating good predictive accuracy for medium and long-term survival.
Conclusions:
- Laryngeal sarcoma predominantly affects individuals aged 50-79 and males.
- Age, pathology, pathological grade, and surgical treatment are significant prognostic factors.
- The developed nomogram, with 73% prediction accuracy, can aid clinicians in personalized treatment planning for laryngeal sarcoma.
Related Concept Videos
01:21Cancer Survival Analysis
580
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
580
02:07Tumor Progression
7.1K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
7.1K