| Literature DB >> 35065645 |
Jianchang Wei1,2, Junbin Zhong3,4, Zhuanpeng Chen3,4, Qing Huang3,4, Fang Wei5, Qiang Wang6,7, Jie Cao8,9.
Abstract
BACKGROUND: The choice of surgical strategy for patients with rectal gastrointestinal stromal tumor (GIST) remains controversial. This study aims to address whether the surgical procedure [local excision (LE) vs. radical excision (RE)] influences the survival outcomes.Entities:
Keywords: Local excision; Radical excision; Rectal gastrointestinal stromal tumor
Mesh:
Year: 2022 PMID: 35065645 PMCID: PMC8783417 DOI: 10.1186/s12893-022-01485-3
Source DB: PubMed Journal: BMC Surg ISSN: 1471-2482 Impact factor: 2.102
Fig. 1Flowchart of the patients’ selection in SEER database
Comparison of clinicopathological features between local and radical excision
| Characteristics | Local excision | Radical excision | p |
|---|---|---|---|
| Age, years | 0.056 | ||
| ≤ 60 | 30 (42.9%) | 49 (58.3%) | |
| > 60 | 40 (57.1%) | 35 (41.7%) | |
| Gender | 0.744 | ||
| Male | 41 (58.6%) | 47 (56.0%) | |
| Female | 29 (41.4%) | 37 (44.0%) | |
| Race | 0.923 | ||
| White | 41 (58.6%) | 49 (58.3%) | |
| Black | 11 (15.7%) | 15 (17.9%) | |
| Other | 18 (25.7%) | 20 (23.8%) | |
| Differentiation | 0.603 | ||
| Well/moderately | 16 (22.9%) | 18 (21.4%) | |
| Poorly/undifferentiated | 7 (10.0%) | 13 (15.5%) | |
| Unknown | 47 (67.1%) | 53 (63.1%) | |
| T classification | < 0.001 | ||
| T1–2 | 27 (38.6%) | 7 (8.3%) | |
| T3–4 | 6 (8.6%) | 16 (19.0%) | |
| Unknown | 37 (52.9%) | 61 (72.6%) | |
| N classification | 0.002 | ||
| N0 | 35 (50.0%) | 22 (26.2%) | |
| N+/unknown | 35 (50.0%) | 62 (73.8%) | |
| Tumor size, cm | 0.222 | ||
| ≤ 3 | 41 (58.6%) | 40 (47.6%) | |
| > 3 | 10 (14.3%) | 10 (11.9%) | |
| Unknown | 19 (27.1%) | 34 (40.5%) | |
| Regional LN surgery | < 0.001 | ||
| No | 53 (75.7%) | 15 (17.9%) | |
| Yes | 3 (4.3%) | 43 (51.2%) | |
| Unknown | 14 (20.0%) | 26 (31.0%) | |
| Chemotherapy | 0.702 | ||
| No | 38 (54.3%) | 43 (51.2%) | |
| Yes | 32 (45.7%) | 41 (48.8%) | |
| Radiotherapy | 0.816 | ||
| No | 52 (74.3%) | 61 (72.6%) | |
| Yes | 18 (25.7%) | 23 (27.4%) | |
LN lymph node
Fig. 2Cancer specific survival (CSS) analysis by clinicopathological characteristics of rectal gastrointestinal stromal tumor patients
Fig. 3Cancer specific survival (CSS) analysis by local excision (LE) and radical excision (RE) in different pathological characteristics of rectal gastrointestinal stromal tumor patients
Fig. 4Cancer specific survival (CSS) analysis by local excision (LE) and radical excision (RE) in different clinic characteristics of rectal gastrointestinal stromal tumor patients
Univariate and multivariate analysis for the rectum GIST patients
| Characteristics | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|
| HR | 95% CI | p* | HR | 95% CI | p | |
| Age | ||||||
| ≤ 60 | 1 | 1 | ||||
| > 60 | 2.9 | 1.5–5.4 | 0.001 | 2.6 | 1.4–5.0 | 0.003 |
| Race | ||||||
| White | 1 | |||||
| Black | 0.8 | 0.4–2.0 | 0.704 | |||
| Other | 0.8 | 0.4–1.6 | 0.517 | |||
| Differentiation | ||||||
| Well/moderately | 1 | 1 | ||||
| Poorly/undifferentiated | 3.5 | 1.3–9.8 | 0.017 | 2.4 | 0.8–6.8 | 0.106 |
| Unknown | 2.1 | 0.9–5.2 | 0.094 | 1.8 | 0.7–4.4 | 0.199 |
| Tumor size, cm | ||||||
| ≤ 3 | 1 | |||||
| > 3 | 0.3 | 0.0–2.4 | 0.247 | |||
| Unknown | 1.2 | 0.6–2.4 | 0.608 | |||
| T classification | ||||||
| T1–2 | 1 | 1 | ||||
| T3–4 | 1.2 | 1.1–6.2 | 0.043 | 1.7 | 1.3–2.9 | 0.024 |
| Unknown | 2.7 | 0.9–3.2 | 0.223 | 1.3 | 0.5–2.1 | 0.132 |
| N classification | ||||||
| N0 | 1 | |||||
| N+/unknown | 2.8 | 0.6–12.2 | 0.176 | |||
| Regional LN surgery | ||||||
| None | 1 | |||||
| Yes | 1.8 | 0.8–4.1 | 0.193 | |||
| Unknown | 1.6 | 0.7–3.7 | 0.237 | |||
| Chemotherapy | ||||||
| None | 1 | |||||
| Yes | 0.8 | 0.5–1.1 | 0.170 | |||
| Radiotherapy | ||||||
| None | 1 | |||||
| Yes | 0.7 | 0.3–1.1 | 0.184 | |||
95% CI 95% confidence interval, HR hazard ratio, LN lymph node
*p < 0.1 was considered significant in univariate Cox-Regression analysis
**p < 0.05 was considered significant in multivariate Cox-Regression analysis