Non-small Cell Lung Cancer Surpassing the Elastic Layer Should Remain Classified as pT2a

医学 肺癌 比例危险模型 癌症 内科学 肿瘤科 生存分析 病理
作者
Jingsheng Cai,Xiao-Meng Dou
出处
期刊:Seminars in Thoracic and Cardiovascular Surgery [Elsevier BV]
卷期号:35 (3): 583-593 被引量:4
标识
DOI:10.1053/j.semtcvs.2022.04.009
摘要

We aimed to evaluate the prognostic value of visceral pleural invasion on the survival of node-negative non-small cell lung cancer ≤3 cm using a large cohort. The Kaplan–Meier method was used to compare overall survival (OS); competing risk analysis with Fine–Gray's test was used to compare cancer- specific survival between groups. The least absolute shrinkage and selection operator penalized Cox regression model was used to identify prognostic factors. In total, 9725 eligible cases were included in this study, and they were separated into 3 groups: tumor invasion beneath the elastic layer (PL0), 8837 cases; tumor invasion surpassing the elastic layer (PL1), 505 cases; and tumor invasion to the visceral pleural surface (PL2), 383 cases. Visceral pleural invasion was more likely to occur in poorly differentiated and larger-sized tumors. Survival curves displayed that PL0 conferred better survival rates than PL1 and PL2, and PL1 achieved outcomes equivalent to those of PL2. Tumor size and histology subset analyses further corroborated this conclusion. Least absolute shrinkage and selection operator -penalized Cox regression analysis confirmed that PL status was an independent prognostic factor for both OS and cancer- specific survival. This study supported the notion that in node-negative non-small cell lung cancer ≤3 cm, PL1 patients should remain classified as pT2a, which could improve staging accuracy. We aimed to evaluate the prognostic value of visceral pleural invasion on the survival of node-negative non-small cell lung cancer ≤3 cm using a large cohort. The Kaplan–Meier method was used to compare overall survival (OS); competing risk analysis with Fine–Gray's test was used to compare cancer- specific survival between groups. The least absolute shrinkage and selection operator penalized Cox regression model was used to identify prognostic factors. In total, 9725 eligible cases were included in this study, and they were separated into 3 groups: tumor invasion beneath the elastic layer (PL0), 8837 cases; tumor invasion surpassing the elastic layer (PL1), 505 cases; and tumor invasion to the visceral pleural surface (PL2), 383 cases. Visceral pleural invasion was more likely to occur in poorly differentiated and larger-sized tumors. Survival curves displayed that PL0 conferred better survival rates than PL1 and PL2, and PL1 achieved outcomes equivalent to those of PL2. Tumor size and histology subset analyses further corroborated this conclusion. Least absolute shrinkage and selection operator -penalized Cox regression analysis confirmed that PL status was an independent prognostic factor for both OS and cancer- specific survival. This study supported the notion that in node-negative non-small cell lung cancer ≤3 cm, PL1 patients should remain classified as pT2a, which could improve staging accuracy.

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
专注的隶发布了新的文献求助10
1秒前
1秒前
2秒前
紫紫吃菠菜发布了新的文献求助100
2秒前
2秒前
鸭肉完成签到,获得积分10
2秒前
2秒前
3秒前
zink发布了新的文献求助10
3秒前
zzzzz发布了新的文献求助10
4秒前
000完成签到,获得积分10
4秒前
所所应助玥越采纳,获得10
4秒前
4秒前
BulingBuling发布了新的文献求助10
4秒前
Jane发布了新的文献求助10
5秒前
shan完成签到,获得积分10
5秒前
seeyou14发布了新的文献求助10
5秒前
风和日丽发布了新的文献求助10
5秒前
结实缘郡发布了新的文献求助30
5秒前
5秒前
白色的鸽子完成签到,获得积分10
5秒前
Niko_Mak发布了新的文献求助10
6秒前
6秒前
情怀应助jackyale采纳,获得10
7秒前
个性宝川发布了新的文献求助10
7秒前
干净青槐完成签到,获得积分10
7秒前
JeaZ完成签到 ,获得积分10
8秒前
CHENlj完成签到,获得积分10
8秒前
9秒前
001发布了新的文献求助10
9秒前
9秒前
10秒前
情怀应助tao采纳,获得10
11秒前
iiirn完成签到,获得积分10
11秒前
火星上笑珊应助daijunhan采纳,获得10
11秒前
全险半挂迎接丽丽完成签到,获得积分10
11秒前
meimei发布了新的文献求助10
11秒前
longbiosci发布了新的文献求助10
11秒前
852应助雪糕采纳,获得20
11秒前
12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
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Photothermal Science and Techniques 500
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 7724018
求助须知:如何正确求助?哪些是违规求助? 9276751
关于积分的说明 20118566
捐赠科研通 7300573
什么是DOI,文献DOI怎么找? 3301364
关于科研通互助平台的介绍 2454791
邀请新用户注册赠送积分活动 2308965