Time-varying pattern of postoperative recurrence risk of early-stage (T1a-T2bN0M0) non-small cell lung cancer (NSCLC): results of a single-center study of 994 Chinese patients.
Time-varying pattern of postoperative recurrence risk of early-stage (T1a-T2bN0M0) non-small cell lung cancer (NSCLC): results of a single-center study of 994 Chinese patients.
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DOI:
10.1371/journal.pone.0106668
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Zhang LJ
中科院分区:
文献类型:
--
作者:
Zhu JF;Feng XY;Zhang XW;Wen YS;Lin P;Rong TH;Cai L;Zhang LJ
The aim of this study was to analyze the time-varying pattern of recurrence risk of early-stage (T1a-T2bN0M0) non-small cell lung cancer (NSCLC) after surgery using the hazard function and identify patients who might benefit from adjuvant chemotherapy. This retrospective study enrolled 994 patients with early-stage NSCLC who underwent radical surgical resection between January 1999 and October 2009. Survival curves were generated using the Kaplan-Meier method, and the annual recurrence hazard was estimated using the hazard function. The median recurrence-free survival (RFS) was 8.8 years. The life table survival analysis showed that the 1-year, 3-year, 5-year and 10-year recurrence rates were 82.0%, 67.0%, 59.0% and 48.0%, respectively. Approximately 256 (25.7%) patients experienced relapse [locoregional: 32 (3.2%) and distant: 224 (22.5%)], and 162 patients died from cancer. The annual recurrence hazard curve for the entire population showed that the first major recurrence surge reached a maximum 1.6 years after surgery. The curve subsequently declined until reaching a nadir at 7.2 years. A second peak occurred at 8.8 years. An analysis of clinical-pathological factors demonstrated that this double-peaked pattern was present in several subgroups. The presence of a double-peaked pattern indicates that there is a predictable temporal distribution of the recurrence hazard of early-stage NSCLC. The annual recurrence hazard may be an effective method of selecting patients at high risk of recurrence, who may benefit from adjuvant therapy.
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影响因子:
168.9
作者:
Kratz, Johannes R.;He, Jianxing;Van den Eeden, Stephen K.;Zhu, Zhi-Hua;Gao, Wen;Pham, Patrick T.;Mulvihill, Michael S.;Ziaei, Fatemeh;Zhang, Huanrong;Su, Bo;Zhi, Xiuyi;Quesenberry, Charles P.;Habel, Laurel A.;Deng, Qiuhua;Wang, Zongfei;Zhou, Jiangfen;Li, Huiling;Huang, Mei-Chun;Yeh, Che-Chung;Segal, Mark R.;Ray, M. Roshni;Jones, Kirk D.;Raz, Dan J.;Xu, Zhidong;Jahan, Thierry M.;Berryman, David;He, Biao;Mann, Michael J.;Jablons, David M.
通讯作者:
Jablons, David M.
影响因子:
3.7
作者:
Amini, Arya;Lou, Feiran;Lin, Steven H.
通讯作者:
Lin, Steven H.
影响因子:
3.7
作者:
Li C;Fang R;Sun Y;Han X;Li F;Gao B;Iafrate AJ;Liu XY;Pao W;Chen H;Ji H
通讯作者:
Ji H
影响因子:
9.6
作者:
Detterbeck, Frank C.;Boffa, Daniel J.;Tanoue, Lynn T.
通讯作者:
Tanoue, Lynn T.
影响因子:
15.3
作者:
Gimbrone, M A Jr;Leapman, S B;Cotran, R S;Folkman, J
通讯作者:
Folkman, J