| Literature DB >> 35311589 |
Yitong Li1, Narasimha M Beeraka2,3,4, Wenchang Guo5, Yuying Lei1, Qilu Hu1, Litao Guo1, Ruitai Fan2, Junqi Liu3, Aixia Sui1.
Abstract
Introduction: Primary brainstem glioma is a rare tumor with a dismal prognosis that poses significant treatment challenges. The purpose of the current study is to identify and determine prognostic factors associated with survival in high-grade brainstem glioma patients.Entities:
Keywords: SEER program; age; brainstem neoplasms; chemotherapy; high-grade brainstem glioma; prognosis; radiotherapy; surgery
Mesh:
Year: 2022 PMID: 35311589 PMCID: PMC8941692 DOI: 10.1177/15330338221082760
Source DB: PubMed Journal: Technol Cancer Res Treat ISSN: 1533-0338
Figure 1.SEER database and patient selection flow diagram.
Distribution of Demographics, Tumor, and Treatment Characteristics of High-Grade Brainstem Glioma.
| Parameters | Total ( |
|---|---|
| Age, median (range) | 35 (1-84) |
| Age, categorized | |
| 1-18 years, | 87 (37.5) |
| 19-59 years, | 104 (44.83) |
| ≥ 60 years, | 41 (17.67) |
| Gender | |
| Male, | 130 (56.03) |
| Female, | 102 (43.97) |
| Race | |
| White, | 180 (77.59) |
| Black, | 29 (12.5) |
| Asian/Pacific Islander, | 20 (8.62) |
| American Indian/Alaska Native, | 2 (<1%) |
| Unknown, | 1 (<1%) |
| Marital status | |
| >18 years, | 145 (62.5) |
| Married, | 59 (25.43) |
| Single, | 69 (29.74) |
| Divorced/widowed/separated, | 17 (7.33) |
| Tumor size | |
| ≥30 mm, | 62 (26.72) |
| <30 mm, | 61 (26.29) |
| Unknown, | 109 (46.98) |
| Surgery | |
| No, | 152 (65.51) |
| Yes, | 80 (34.48) |
| Gross total resection | 14 (6.03) |
| Partial resection | 58 (25.0) |
| Unspecified | 8 (3.45) |
| Radiotherapy | |
| Yes, | 204 (87.93) |
| No, | 28 (12.07) |
| Chemotherapy | |
| Yes, | 134 (57.76) |
| No, | 98 (42.24) |
| Radiotherapy + Chemotherapy (RC), | 130 (56.03) |
| Year of diagnosis | |
| 1973–2002, | 80 (34.48) |
| 2003–2016, | 152 (65.52) |
Figure 2.Kaplan-Meier overall survival curves for the entire patient cohort of 232 SEER high-grade brainstem glioma patients.
Figure 3.Kaplan-Meier survival curves for the patient cohorts of different age groups.
Figure 4.Kaplan-Meier survival curves for the entire cohort of patients with or without resection.
Figure 5.(a) Kaplan-Meier survival curves for the entire cohort of patients with or without radiotherapy. (b) Kaplan-Meier survival curves for the patients who received both radiotherapy and chemotherapy, chemotherapy alone, radiotherapy alone, and none. (c) Kaplan-Meier survival curves for the 56 patients with or without radiotherapy, (RG vs NRG: 9.0 vs 4.0 months, P = .038) were performed after PSM analysis based on the age and surgical resection.
Figure 6.Kaplan-Meier survival curves for the patients diagnosed after 2002. (a) With or without chemotherapy. (b) With or without radiotherapy. (c) With or without radiotherapy and chemotherapy.