| Literature DB >> 30196238 |
Yuanyuan Wang1, Shanghui Guan2, Yanhong Bi3, Sixiang Lin4, Jianjun Ma5, Qian Xing1, Chonghua Liu1, Rui Zhang1, Zhen Qu5, Peng Jiang5, Xue Chen2, Yufeng Cheng6.
Abstract
The purpose of the current study was to retrospectively assess the effect of postoperative radiotherapy (RT) delay on survival for patients with esophageal cancer. From 2008 to 2011, patients with esophageal cancer who had undergone postoperative RT in five different hospitals in China were reviewed. Clinical data, including time interval between surgery to RT, were prospectively collected. Kaplan-Meier method was conducted to estimate the effect of each variable on progression-free survival (PFS) and overall survival (OS), with differences assessed by log-rank test. Univariate Cox proportional-hazards models were performed for both PFS and OS for all assumed predictor variables. Statistically significant predictor variables (P < .05) on univariate analysis were then included in multivariate Cox proportional-hazards models, which were performed to compare the effects of RT delay on PFS and OS. A total of 316 patients were finally enrolled in this prospectively multicentric study. Time to RT after surgery varied from 12 days to over 60 days (median, 26 days). Multivariate analysis showed that delay to RT longer than the median does not appear to be a survival cost. There was also no statistically difference in PFS (P = .513) or OS (P = .236) between patients stratified by quartiles (≤21 days vs ≧35 days). However, patients with particularly long delays (≧42 days) demonstrated a detrimental impact on OS (P = .021) but not PFS (P = .580). Delaying postoperative RT of esophageal cancer does not impact PFS, but results in a significant reduction on OS if delaying longer than 6 weeks.Entities:
Year: 2018 PMID: 30196238 PMCID: PMC6132173 DOI: 10.1016/j.tranon.2018.08.007
Source DB: PubMed Journal: Transl Oncol ISSN: 1936-5233 Impact factor: 4.243
Patient Characteristics
| Parameters | % | Median Time to Initiation of RT (Days) | |||
|---|---|---|---|---|---|
| Total number of patients | 316 | ||||
| Age | <65 | 178 | 56.3 | 28 | .615 |
| ≥65 | 138 | 43.7 | 29 | ||
| Gender | Female | 130 | 41.1 | 29 | .169 |
| Male | 186 | 58.9 | 28 | ||
| Preoperative KPS | <70 | 103 | 32.6 | 33 | .052 |
| ≥70 | 213 | 67.4 | 26 | ||
| Surgical resection | Radical | 156 | 49.4 | 31 | .274 |
| Palliative | 160 | 50.6 | 27 | ||
| Time to RT | |||||
| Continuous variable | |||||
| Median, days | ≤26 | 152 | 48.1 | 22 | .062 |
| >26 | 164 | 51.9 | 28 | ||
| Quartiles, days | ≤21 | 76 | 24.1 | 17 | .071 |
| 22-26 | 84 | 26.6 | 24 | ||
| 27-34 | 86 | 27.2 | 30 | ||
| ≥35 | 70 | 22.2 | 42 | ||
| RT technology | 3D-CRT | 149 | 47.2 | 25 | .469 |
| IMRT | 167 | 52.9 | 28 | ||
| Concurrent CRT | No | 54 | 17.1 | 34 | .058 |
| Yes | 262 | 82.9 | 28 |
Figure 1Graphs showing that delay of RT is not associated with worse PFS and OS. (A and C) Kaplan-Meier analysis of PFS and OS between those with shorter than median delay (≤26 days) and those with longer than median delay (>26 days). (B and D) Kaplan-Meier analysis of PFS and OS between those in the shortest quartile (≤21 days) and longest quartile (≥35 days) of delay.
Univariate Analysis of PFS and OS.
| Parameters | PFS | OS | |||
|---|---|---|---|---|---|
| HR | HR | ||||
| Age | <65 | 1 (ref) | 1 (ref) | ||
| ≥65 | 1.12 | .374 | 1.26 | .217 | |
| Gender | Female | 1 (ref) | 1 (ref) | ||
| Male | 1.20 | .194 | 1.31 | .187 | |
| Preoperative KPS | ≥70 | 1 (ref) | 1 (ref) | ||
| <70 | 1.26 | 1.49 | |||
| Surgical resection | Radical | 1 (ref) | 1 (ref) | ||
| Palliative | 0.95 | .538 | 0.87 | .683 | |
| Time to RT | |||||
| Continuous variable | 0.97 | .923 | 0.98 | .862 | |
| Median, days | ≤24 | 1 (ref) | 1 (ref) | ||
| >24 | 1.13 | .570 | 1.12 | .429 | |
| Quartiles, days | ≤21 | 1 (ref) | 1 (ref) | ||
| 22-27 | 1.23 | .317 | 1.24 | .306 | |
| 28-34 | 1.13 | .472 | 1.15 | .351 | |
| ≥35 | 1.06 | .513 | 1.03 | .236 | |
| RT technology | 3D-CRT | 1 (ref) | 1 (ref) | ||
| IMRT | 0.84 | .132 | 0.92 | .593 | |
| Concurrent CRT | No | 1 (ref) | 1 (ref) | ||
| Yes | 0.93 | .059 | 0.83 | ||
P < 0.05.
Multivariate Predictors of PFS and OS
| Parameters | PFS | OS | |||||
|---|---|---|---|---|---|---|---|
| HR | 95% CI | HR | 95% CI | ||||
| Preoperative KPS | ≥70 | 1 (ref) | - | - | 1 (ref) | ||
| <70 | 1.31-1.97 | 1.76 | 1.56-1.91 | ||||
| Long delay, days | ≤42 | - | - | - | 1 (ref) | - | - |
| >42 | - | - | - | 1.766 | 1.10-3.16 | ||
| Concurrent CRT | No | - | - | - | 1 (ref) | - | - |
| Yes | - | - | - | 1.23 | 1.03-1.45 | ||
Figure 2Graphs showing that significant delay (≧42 days) of RT is associated with worse OS but not PFS. (A) Kaplan-Meier analysis of PFS between those with treatment delay of longer and shorter than 42 days. (B) Kaplan-Meier analysis of OS between those with treatment delay of longer and shorter than 42 days.