Characterization of alveolar soft part sarcoma using a large national database

肺泡软组织肉瘤 医学 肉瘤 软组织 软组织肉瘤 背景(考古学) 比例危险模型 癌症 危险系数 病理 数据库 外科 内科学 古生物学 置信区间 生物 计算机科学
作者
Brendan Hagerty,John G. Aversa,Laurence P. Diggs,Dana A. Dominguez,Reed I. Ayabe,Andrew M. Blakely,Jeremy L. Davis,Carrie Luu,Jonathan M. Hernandez
出处
期刊:Surgery [Elsevier BV]
卷期号:168 (5): 825-830 被引量:17
标识
DOI:10.1016/j.surg.2020.06.007
摘要

Alveolar soft part sarcoma is a rare, histologic subtype of soft tissue sarcoma that remains poorly defined. We aimed to describe patient characteristics and treatment patterns and to examine factors associated with survival for patients with alveolar soft part sarcoma.After identifying patients with alveolar soft part sarcoma in the National Cancer Database, we recorded their clinicopathologic characteristics. Univariable log-rank survival analysis and Cox proportional hazards model were employed. For context, survival comparisons were included for patients with other sarcoma subtypes.Overall, 293 patients with alveolar soft part sarcoma were identified. Interestingly, patients with head and neck tumors were least likely to present with distant disease (40%, P = .025). The majority of patients underwent resection (n = 183, 63%). Among those, no predictors of lesser survival were identified other than the presence of metastases (hazard ratio 6.04, P ≤ .001). Patients with stage IV alveolar soft part sarcoma who underwent resections experienced improved survival relative to similar patients with more common subtypes of soft tissue sarcomas (P ≤ .001).Alveolar soft part sarcoma is exceedingly rare, and patients often present with metastases. Primary tumors can occur anywhere in the body, and location impacts the rates of metastases at presentation. Resection is associated with a favorable survival advantage when compared to other, more common histologic subtypes of soft tissue sarcomas.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
王人捷应助XX采纳,获得20
刚刚
妮妮发布了新的文献求助10
刚刚
赘婿应助冷艳雪碧采纳,获得30
1秒前
活力的泽洋完成签到,获得积分10
1秒前
1秒前
静汐发布了新的文献求助10
1秒前
英姑应助tian采纳,获得10
2秒前
2秒前
3秒前
Owen应助squirrelxx采纳,获得10
3秒前
思源应助carrieschen采纳,获得30
3秒前
4秒前
hu应助活着采纳,获得20
4秒前
4秒前
星星发布了新的文献求助10
4秒前
4秒前
忧郁的毒娘完成签到,获得积分20
5秒前
科研通AI6.4应助momo采纳,获得10
6秒前
义气珩完成签到,获得积分10
7秒前
deepermoon发布了新的文献求助10
7秒前
悦耳灰狼发布了新的文献求助10
7秒前
7秒前
潇洒的老黑完成签到,获得积分10
8秒前
8秒前
执业匪徒发布了新的文献求助30
9秒前
小美好完成签到 ,获得积分10
10秒前
Jamal完成签到,获得积分10
10秒前
10秒前
无情翅膀发布了新的文献求助10
11秒前
11秒前
liuxi发布了新的文献求助10
11秒前
SciGPT应助加雅采纳,获得30
11秒前
12秒前
含蓄可冥完成签到,获得积分10
12秒前
Orange应助研友_LMBPXn采纳,获得10
12秒前
活力汉堡发布了新的文献求助10
12秒前
13秒前
情怀应助zhaowenxian采纳,获得10
14秒前
14秒前
我是老大应助执业匪徒采纳,获得10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7686834
求助须知:如何正确求助?哪些是违规求助? 9249986
关于积分的说明 19960431
捐赠科研通 7259834
什么是DOI,文献DOI怎么找? 3289666
关于科研通互助平台的介绍 2446593
邀请新用户注册赠送积分活动 2294176