Literature DB >> 35116850

Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study.

Xiangpan Li1, Huibo Zhang1, Xuemei Jia2, Liming Xu3, Huali Liu1, Liang Chen1, Qibin Song1, Zhouguang Hui4.   

Abstract

BACKGROUND: Population-based estimates of survival benefits of radiotherapy on metastatic esophageal cancer (EC) are lacking. The aim of this study was to analyze survival benefits of radiotherapy in patients with metastatic EC at the time of cancer diagnosis.
METHODS: Patients with metastatic EC were selected from Surveillance, Epidemiology, and End Results databases. The covariates included radiotherapy status, age, sex, insurance, histological type, differentiation, metastatic sites (bone, brain, liver, lung), and chemotherapy. Propensity score matching model was used to reduce bias of patients' selection. Median overall survival (OS) and cancer-specific survival (CSS) were compared and Cox regression analysis was performed.
RESULTS: A total of 4,761 patients with metastatic EC met the selection criteria. It was found that radiotherapy significantly improved 2-year OS (P=0.020) and 2-year CSS (P=0.009) in matched patients. In the propensity score model (N=3,672), Cox regression analysis demonstrated that radiotherapy was an independent prognostic factor which associated with a longer OS (P<0.001) and esophageal cause-specific survival in matched patients (P<0.001). Additionally, age, sex, insurance status, differentiation, number of metastatic sites and chemotherapy were also found to be significantly associated with OS and CSS in matched patients.
CONCLUSIONS: The population-based study demonstrated that patients with metastatic EC might benefit from radiotherapy. This data supports the proposal to change the current management for patients with metastatic EC. 2019 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Metastatic esophageal cancer (metastatic EC); prognosis; radiotherapy

Year:  2019        PMID: 35116850      PMCID: PMC8797641          DOI: 10.21037/tcr.2019.06.15

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

Esophageal cancer (EC) is one of the most fatal malignant tumors globally, with a 5-year survival rate of 15–25% (1-3). With the improvement in diagnostic techniques, there are more than 50% patients detected at metastatic stage with incurable metastatic disease at diagnosis. For metastatic EC with distant metastasis, systematic chemotherapy is recommended as the standard therapy, however, the overall survival (OS) is still poor. External beam radiotherapy has been performed in the management for EC as definitive, preoperative, postoperative, or palliative therapy combining with chemotherapy (4-7). For patients with metastatic EC, radiotherapy is used as a palliative treatment modality to relieve symptoms such as dysphagia and chest pain (8,9). However, the effect of radiotherapy on survival of patients with metastatic EC is unclear. The purpose of this study was to assess the impact of radiotherapy on the OS of metastatic EC based on the data available in the Surveillance, Epidemiology, and End Results (SEER) database, attempting to provide a novel concept for the change of traditional treatment modality to metastatic EC.

Methods

Patients

The SEER database, one of the largest databases of oncology patients in the United States, includes cancer incidence, treatment, and survival information for approximately 30% of the US population. SEER*Stat software version 8.3.5 was used and SEER data between 1973 and 2014 [“Incidence-SEER 18 Regs Custom data (with additional treatment fields), Nov 2016 sub (1973–2014 varying)”] was chosen for this study. Adult patients diagnosed with EC who had metastatic diseases between 2010 and 2014 (n=5,912) were enrolled. Patients treated with beam radiation (combined with or without other type of radiotherapy) were included in the cohort. Patients with unknown radiotherapy data were excluded (n=65). Patients for whom the presence of follow-up was unknown were not included (n=7). In addition, patients who were presented with “N/A not first tumor” were excluded (within SEER database) (n=1,079). All authors did not have access to information that could identify individual participants ().
Figure 1

Flow diagram.

Flow diagram.

Statistical analysis

The enrolled patients were divided into two groups, radiotherapy group and non-radiotherapy group, and were longitudinally classified by age, sex, insurance, histological type, differentiation, metastatic sites (the bone, brain, liver and lung), chemotherapy code. Absolute numbers and incidence proportions were calculated. All statistical analyses were performed using the SPSS statistical software (version 22.0; IBM Corporation). Propensity score matching model was performed to reduce the bias of patients’ selection and obtain the balanced population of radiotherapy and non-radiotherapy group. The standardized differences for matched variables were less than 0.1. Chi-square test was used to identify the differences of two groups. Kaplan-Meier method was used to obtain survival information. Log-rank test and Cox regression analyses were implemented to evaluate covariates for OS and esophageal cause-specific survival (CSS). A value of P<0.05 were considered statistically significant for all analyses.

Results

A total of 4,761 patients were finally enrolled in this study, including 1,901 with radiotherapy and 2,870 without. The baseline features of the 4,761 eligible patients are provided in . The majority of the patients were 60 to 79 years old (55.1%), male (84.1%), insured (92.3%), white (84.9%), adenocarcinoma (64.5%), poorly differentiated (47.9%). As for metastatic sites (to the brain, bone, lung, and liver), 3178 (66.8%) of patients had 1 or 2 metastatic sites, 202 patients (4.2%) had 3 or 4 sites. There were 993 (20.9%) patients who had no metastasis in any site of the liver, brain, bone and lung.
Table 1

Clinical and pathological characteristics of enrolled metastatic esophageal cancer patients

CharacteristicsBefore propensity score matching, n (%)After propensity score matching, n (%)
All patients (n=4,761)RadiotherapyPAll patients (n=3,672)RadiotherapyP
Yes (n=1,901)No (n=2,860)Yes (n=1,836)No (n=1,836)
Age, year<0.0010.229
   20–3970 (1.5)19 (1.0)51 (1.8)50 (1.4)18 (1.0)32 (1.7)
   40–591,559 (32.7)670 (35.2)889 (31.1)1,257 (34.2)636 (34.6)621 (33.8)
   60–792,622 (55.1)1,051 (55.3)1,571 (54.9)2,037 (55.5)1,022 (55.7)1,015 (55.3)
   ≥80510 (10.7)161 (8.5)349 (12.2)328 (8.9)160 (8.7)168 (9.2)
Sex0.8680.383
   Male4,002 (84.1)1,600 (84.2)2,402 (84.0)3,113 (84.8)1,547 (84.3)1,566 (85.3)
   Female759 (15.9)301 (15.8)458 (16.0)559 (15.2)189 (15.7)270 (14.7)
Insurance code0.0030.093
   Insured4,396 (92.3)1,783 (93.8)2,613 (91.4)3,421 (93.2)1,723 (93.8)1,698 (92.5)
   Uninsured235 (4.9)82 (4.3)153 (5.3)160 (4.4)77 (4.2)83 (4.5)
   Unknown130 (2.7)36 (1.9)94 (3.3)91 (2.5)36 (2.0)55 (3.0)
Race<0.0010.868
   White4,043 (84.9)1,563 (82.2)2,480 (86.7)3,089 (84.1)1,543 (84.0)1,546 (84.2)
   Black465 (9.8)212 (11.2)253 (8.8)363 (9.9)180 (9.8)183 (10.0)
   Other237 (5.0)120 (6.3)117 (4.1)207 (5.6)107 (5.8)100 (5.4)
   Unknown16 (0.3)6 (0.3)10 (0.3)13 (0.4)6 (0.3)7 (0.4)
Histological type<0.0010.002
   SCC1,118 (23.5)547 (28.8)571 (20.0)913 (24.9)492 (26.8)421 (22.9)
   ADC3,072 (64.5)1,174 (61.8)1,898 (66.4)2,370 (64.5)1,164 (63.4)1,206 (65.7)
   Other330 (6.9)134 (7.0)196 (6.9)243 (6.6)134 (7.3)109 (5.9)
   Unknown241 (5.1)46 (2.4)195 (6.8)146 (4.0)46 (2.5)100 (5.4)
Differentiation<0.0010.147
   Poorly differentiated2,282 (47.9)929 (48.9)1,353 (47.3)1,801 (49.0)901 (49.1)900 (49.0)
   Moderately differentiated1,261 (26.5)542 (28.5)719 (25.1)961 (26.2)518 (28.2)443 (24.1)
   Well differentiated102 (2.1)48 (2.5)54 (1.9)84 (2.3)46 (2.5)38 (2.1)
   Undifferentiated72 (1.5)32 (1.7)40 (1.4)53 (1.4)32 (1.7)21 (1.1)
   Unknown944 (19.8)350 (18.4)694 (24.3)773 (21.1)339 (18.5)434 (23.6)
Bone metastasis<0.001<0.001
   Yes1,123 (23.6)564 (29.7)559 (19.5)884 (24.1)550 (30.0)334 (18.2)
   No3,437 (72.2)1,278 (67.2)2,159 (75.5)2,659 (72.4)1,227 (66.8)1,432 (78.0)
   Unknown201 (4.2)59 (3.1)142 (5.0)129 (3.5)59 (3.2)70 (3.8)
Brain metastasis<0.001<0.001
   Yes256 (5.4)181 (9.5)75 (2.6)226 (6.2)181 (9.9)45 (2.5)
   No4,269 (89.7)1,652 (86.9)2,617 (91.5)3,291 (89.6)1,587 (86.4)1,704 (92.8)
   Unknown236 (5.0)68 (3.6)168 (5.9)155 (4.2)68 (3.7)87 (4.7)
Liver metastasis<0.001<0.001
   Yes2,270 (47.7)675 (35.5)1,595 (55.8)1,652 (45.0)666 (36.3)986 (53.7)
   No2,321 (48.8)1,170 (61.5)1,151 (40.2)1,906 (51.9)1,115 (60.7)791 (43.1)
   Unknown170 (3.6)56 (3.0)114 (4.0)114 (3.1)55 (3.0)59 (3.2)
Lung metastasis0.0010.291
   Yes1,375 (28.9)526 (27.7)849 (29.7)1,037 (28.2)510 (27.8)527 (28.7)
   No3,132 (65.8)1,297 (68.2)1,835 (64.2)2,470 (67.3)1,249 (68.0)1,221 (66.5)
   Unknown254 (5.3)78 (4.1)176 (6.2)165 (4.5)77 (4.2)88 (4.8)
Metastatic sites to the brain, bone, lung, and liver<0.0010.084
   0993 (20.9)487 (25.6)506 (17.7)828 (22.5)456 (24.8)372 (20.3)
   1–23,178 (66.8)1,196 (62.9)1,982 (69.3)2,449 (66.7)1,163 (63.3)1,286 (70.0)
   3–4202 (4.2)104 (5.5)98 (3.4)142 (3.9)104 (5.7)38 (2.1)
   Unknown388 (8.1)114 (6.0)274 (9.6)253 (6.9)113 (6.2)140 (7.6)
Chemotherapy<0.001<0.001
   Yes2,880 (60.5)1,403 (73.8)1,477 (51.6)2,494 (67.9)1,338 (72.9)1,156 (63.0)
   No/unknown1,881 (39.5)498 (26.2)1,383 (48.4)1,178 (32.1)498 (27.1)680 (37.0)

SCC, squamous carcinoma; ADC, adenocarcinoma.

SCC, squamous carcinoma; ADC, adenocarcinoma. The median OS (mOS) and CSS (mCSS) for the entire cohort were 4.9 and 5.0 months, and the radiotherapy group was 7.0 and 6.9 months, while 3.0 and 4.0 months in the non-radiotherapy group, respectively (P<0.001) (). Univariate and multivariable Cox regression demonstrated that radiotherapy was significantly associated with longer mOS and mCSS (). In addition, metastatic disease to 1–2 sites (P<0.001) or 3–4 metastatic sites (P<0.001) of the brain, bone, lung and liver, or greater than 80 years (P=0.002), uninsured status (P<0.001), and non-chemotherapy treatment (P<0.001) were significantly associated with poorer OS, while age 20 to 39 years (P=0.002), 40 to 59 years (P=0.002), 60 to 79 years (P=0.003), female (P<0.001), ADC (P=0.035), moderately differentiated (P<0.001) and well differentiated tumor (P=0.040) were significantly associated with better OS. Moreover, metastatic disease to 1–2 sites (P<0.001) or 3–4 sites (P<0.001), greater than 80 years old (P=0.016), uninsured status (P<0.001), non-chemotherapy treatment (P<0.001) were significantly associated with decreased CSS. Factors that were statistically associated with longer CSS in multivariable Cox regression analysis were female (P<0.001) and moderately differentiated tumor (P<0.001).
Figure 2

OS and CSS curves for the effect of radiotherapy. (A,B) Before propensity score matching; (C,D) after propensity score matching. OS, overall survival; CSS, cancer-specific survival.

Table 2

Univariate Cox regression analysis for OS and CSS

CharacteristicsBefore propensity score matchingAfter propensity score matching
OSCSSOSCSS
HR95% CIPHR95% CIPHR95% CIPHR95% CIP
Age, y
   ≥801.0001.0001.0001.000
   60–790.6650.601–0.735<0.0010.6880.620–0.765<0.0010.7140.629–0.8090.0010.7530.660–0.860<0.001
   40–590.6040.543–0.673<0.0010.6280.562–0.703<0.0010.6440.564–0.735<0.0010.6860.597–0.788<0.001
   20–390.4960.371–0.663<0.0010.5310.396–0.712<0.0010.5700.405–0.803<0.0010.6170.435–0.875<0.001
Sex
   Male1.0001.0001.0001.000
   Female0.9150.839–0.9970.0430.9900.823–0.9840.0210.8820.797–0.9770.0160.8670.780–0.9630.008
Insurance code
   Insured1.0001.0001.0001.000
   Uninsured1.3761.198–1.581<0.0011.3861.202–1.598<0.0011.4461.224–1.708<0.0011.4441.217–1.714<0.001
   Unknown1.1750.975–1.4180.0911.1320.931–1.3780.2141.1730.937–1.4690.1651.1600.919–1.4640.211
Race
   White1.0001.0001.0001.000
   Black1.1271.017–1.2480.0231.1421.028–1.2680.0131.1431.017–1.2840.0251.1511.021–1.2970.021
   Other0.8690.752–1.0040.0560.8420.724–0.9790.0250.9170.785–1.0710.2730.9000.767–1.0570.200
   Unknown0.9940.577–1.7140.9840.9700.550–1.7090.9150.9400.505–1.7490.8440.8920.464–1.7170.733
Histological type
   SCC1.0001.0001.0001.000
   ADC0.8810.818–0.9490.0010.8800.815–0.9500.0010.8650.787–0.929<0.0010.8530.783–0.929<0.001
   Other1.0590.928–1.2090.3961.0700.934–1.2250.3301.0810.927–1.2610.3181.0830.926–1.2680.318
   Unknown1.5761.364–1.821<0.0011.5111.299–1.757<0.0011.5121.264–1.810<0.0011.4591.210–1.759<0.001
Differentiation
   Poor1.0001.0001.0001.000
   Moderate0.7920.734–0.855<0.0010.7980.738–0.862<0.0010.7410.679–0.808<0.0010.7530.689–0.823<0.001
   Well0.8020.647–0.9950.0450.8100.650–1.0090.0610.8020.632–1.0180.0690.8160.639–1.0400.101
   Undifferentiated1.0300.800–1.3260.8201.0540.815–1.3640.6861.0100.753–1.3540.9471.0480.779–1.4100.759
   Unknown0.9640.891–1.0440.3730.9580.882–1.0400.3030.8800.802–0.9660.0070.8770.796–0.9650.007
Bone metastasis
   No1.0001.0001.0001.000
   Yes1.3911.293–1.495<0.0011.3991.29801.507<0.0011.4361.332–1.560<0.0011.1431.326–1.571<0.001
   Unknown1.1080.950–1.2920.1911.0690.911–1.2550.4131.0450.861–1.2670.6581.0330.846–1.2620.748
Brain metastasis
   No1.0001.0001.0001.000
   Yes1.2551.097–1.4350.0011.2551.093–1.4410.0011.2821.109–1.4820.0011.2871.109–1.4930.001
   Unknown1.0600.920–1.2210.4211.0240.883–1.1880.7510.9870.827–1.1780.8880.9780.815–1.1740.813
Liver metastasis
   No1.0001.0001.0001.000
   Yes1.2461.170–1.327<0.0011.2651.185–1.350<0.0011.2641.176–1.359<0.0011.2821.190–1.381<0.001
   Unknown1.1090.938–1.3130.2261.0580.886–1.2640.5300.9880.803–1.2150.9070.9390.754–1.1680.570
Lung metastasis
   No1.0001.0001.0001.000
   Yes1.2791.194–1.370<0.0011.2741.187–1.368<0.0011.2951.196–1.402<0.0011.2941.193–1.404<0.001
   Unknown1.0900.948–1.2530.2281.0860.941–1.2530.2610.9850.827–1.1730.8650.9940.831–1.1890.951
Metastatic sites to the brain, bone, lung, and liver
   01.0001.0001.0001.000
   1–21.4581.346–1.579<0.0011.4731.357–1.600<0.0011.4991.371–1.639<0.0011,1571.384–1.664<0.001
   3–42.2681.932–2.664<0.0012.2901.941–2.701<0.0012.2531.945–2.847<0.0012.3771.954–2.892<0.001
   Unknown1.5561.378–1.780<0.0011.5631.370–1.784<0.0011.4351.229–1.676<0.0011.4521.238–1.704<0.001
Radiotherapy
   Yes1.0001.0001.000
   No1.4071.320–1.499<0.0011.4051.316–1.500<0.0011.2311.146–1.322<0.0011.2931.146–1.327<0.001
Chemotherapy
   Yes1.0001.0001.0001.000
   No/unknown3.3673.153–3.596<0.0013.3413.123–3.575<0.0013.3313.083–3.600<0.0013.3143.060–3.590<0.001

OS, overall survival; CSS, cancer-specific survival.

Table 3

Multivariate Cox regression analysis for OS and CSS

CharacteristicsBefore propensity score matchingAfter propensity score matching
OSCSSOSCSS
HR95% CIPHR95% CIPHR95% CIPHR95% CIP
Age, y
   ≥801.0001.0001.0001.000
   60–790.8530.769–0.9470.0030.8750.785–0.9750.0160.8670.762–0.9860.0300.9150.799–1.0480.198
   40–590.8370.749–0.9370.0020.8590.765–0.9660.0110.8350.727–0.9580.0100.8890.769–1.0270.111
   20–390.6230.465–0.8350.0020.6610.491–0.8900.0060.6530.462–0.9230.0160.9150.799–1.0480.198
Sex
   Male1.0001.0001.0001.000
   Female0.8540.782–0.934<0.0010.8400.766–0.920<0.0010.8280.746–0.920<0.0010.8150.731–0.908<0.001
Insurance code
   Insured1.0001.0001.0001.000
   Uninsured1.3431.166–1.547<0.0011.3321.151–1.540<0.0011.4041.184–1.663<0.0011.3871.165–1.652<0.001
   Unknown0.8810.727–1.0680.1970.8540.698–1.0450.1260.9580.758–1.2100.7180.9530.749–1.2130.696
Race
   White1.0001.0001.000
   Black1.0730.959–1.2020.2201.0830.965–1.2170.1751.0520.925–1.1970.4391.0510.921–1.1990.461
   Other0.8940.771–1.0360.1370.8650.741–1.0090.0640.8970.765–1.0510.1770.8790.746–1.0360.124
   Unknown0.8810.507–1.5340.6550.8580.482–1.5270.6020.8040.424–1.5230.5030.7500.382–1.4700.402
Histological type
   SCC1.0001.0001.0001.000
   ADC0.9200.852–0.9940.0350.9250.848–1.0090.0780.9330.848–1.0260.1510.9240.838–1.0180.110
   Other1.0190.889–1.1690.7871.0480.908–1.2100.5211.1300.959–1.3310.1441.1320.957–1.3400.149
   Unknown1.2581.081–1.4640.0031.2211.038–1.4350.0161.3301.101–1.6070.0031.2851.055–1.5640.013
Differentiation
   Poor1.0001.0001.0001.000
   Moderate0.7670.710–0.828<0.0010.7720.713–0.835<0.0010.7660.701–0.837<0.0010.7780.711–0.853<0.001
   Well0.7980.643–0.9900.0400.8040.645–1.0030.0530.7850.618–0.9970.0470.7950.622–1.1050.065
   Undifferentiated0.8550.660–1.1090.2380.8880.681–1.1580.3800.8090.594–1.1020.1790.8450.618–1.1550.290
   Unknown0.7980.735–0.867<0.0010.8000.735–0.871<0.0010.7720.702–0.849<0.0010.7710.699–0.851<0.001
Metastatic sites to the brain, bone, lung, and liver
   01.0001.0001.0001.000
   1–21.3571.251–1.471<0.0011.3631.253–1.482<0.0011.4141.291–1.548<0.0011.4271.300–1.567<0.001
   3–42.3652.012–2.781<0.0012.3792.014–2.810<0.0012.4602.029–2.981<0.0012.4772.032–3.019<0.001
   Unknown1.2901.132–1.471<0.0011.2911.127–1.478<0.0011.1530.982–1.3530.0821.1620.986–1.3700.074
Radiotherapy
   Yes1.0001.0001.0001.000
   No1.2291.151–1.313<0.0011.2271.147–1.313<0.0011.2181.132–1.310<0.0011.2191.131–1.314<0.001
Chemotherapy
   Yes1.0001.0001.0001.000
   No/unknown3.2112.995–3.442<0.0013.2042.982–3.441<0.0013.1952.944–3.467<0.0013.2042.946–3.485<0.001

OS, overall survival; CSS, cancer-specific survival.

OS and CSS curves for the effect of radiotherapy. (A,B) Before propensity score matching; (C,D) after propensity score matching. OS, overall survival; CSS, cancer-specific survival. OS, overall survival; CSS, cancer-specific survival. OS, overall survival; CSS, cancer-specific survival. After propensity score matching, 3,672 of 4,761 patients were included (1,836 for each of radiotherapy or non-radiotherapy group) () and also found that radiotherapy improved OS and CSS (P<0.001) (). Radiotherapy showed significant 2-year survival benefits in patients with age older than 80 years (2-year OS, P=0.048; CSS, P=0.018), male (2-year OS, P=0.020; CSS, P=0.011), white race (2-year OS, P=0.038; CSS, P=0.006), squamous carcinoma (2-year OS, P=0.002; CSS, P<0.001), poor differentiation (2-year OS, P=0.002; CSS, P<0.001), brain (2-year OS, P<0.001; CSS, P<0.001) metastasis, other sites (sites except for the brain, bone, lung, and liver, 2-year OS, P<0.001; CSS, P<0.001), however, there were no statistically significant survival differences in patients with bone and liver metastasis, 1–2 or 3–4 metastatic sites (). Interestingly, no survival difference was found between chemotherapy alone and radiotherapy combined with chemotherapy (2-year OS, P=0.177; CSS, P=0.080). Cox regression demonstrated that radiotherapy was an independent prognostic factor which was significantly associated with longer mOS and mCSS in matched patients (). In addition, metastatic disease to 1–2 sites (P<0.001) or 3–4 metastatic sites (P<0.001) of the brain, bone, lung and liver, age greater than 80 years (P≤0.030), uninsured status (P<0.001), male (P<0.001), poor differentiation (P≤0.047), non-chemotherapy treatment (P<0.001) were associated with poorer OS. While metastatic disease to 1–2 sites (P <0.001) or 3–4 sites (P<0.001), uninsured status (P<0.001), male (P<0.001), poor differentiation (P<0.001), non-chemotherapy treatment (P<0.001) were significantly associated with decreased CSS.
Table 4

Z test for the effects of radiotherapy on OS and CSS in matched patients

Characteristics2-year OS2-year CSS
RT (%)Non-RT (%)ZPRT (%)Non-RT (%)ZP
RT11.68.82.3250.02013.49.92.6020.009
Age
   20–398.415.60.650.5179.315.6−0.541.410
   40–5912.310.60.830.40713.611.90.750.452
   60–7911.58.41.900.05713.29.32.290.022
   ≥809.12.91.980.04813.84.22.370.018
Sex
   Male10.98.12.330.02012.59.12.530.011
   Female15.113.60.430.66517.715.40.590.554
Insurance code
   Insured11.79.22.080.03813.410.32.300.021
   Uninsured8.20.02.280.02310.20.02.430.015
   Unknown15.37.51.000.32016.78.11.010.312
Race
   White12.08.72.450.01413.69.72.740.006
   Black7.08.90.600.5518.89.40.170.865
   Other13.810.30.650.51517.012.50.730.465
   Unknown20.00.01.120.26440.00.01.8260.068
Histological type
   SCC12.15.63.040.00213.86.03.510.000
   ADC12.110.60.960.33513.811.71.240.216
   Other7.16.00.280.7829.47.20.480.633
   Unknown4.93.00.510.6098.74.80.760.448
Differentiation
   Poor12.15.63.040.00210.87.13.510.000
   Moderate12.110.60.960.33518.212.32.140.032
   Well7.16.00.280.78216.48.21.030.301
   Undifferentiated4.93.00.510.6090.015.11.610.108
   Unknown12.15.63.040.00213.613.10.160.870
Bone metastasis
   Yes4.24.60.260.7985.15.50.200.841
   No14.69.70.870.38416.510.83.480.001
   Unknown14.99.40.820.41121.99.81.650.099
Brain metastasis
   Yes8.10.03.520.00010.70.03.820.000
   No11.69.02.160.03113.210.12.300.021
   Unknown18.99.51.450.14823.110.01.890.059
Liver metastasis
   Yes7.08.71.040.2968.49.70.710.481
   No13.78.63.010.00315.39.63.100.002
   Unknown20.711.91.160.24430.012.82.070.038
Lung metastasis
   Yes8.37.00.660.5119.78.32.270.023
   No12.49.42.020.04414.110.41.780.076
   Unknown20.112.31.200.22924.612.71.780.076
Metastatic sites to the brain, bone, lung, and liver
   019.59.03.800.00021.29.93.800.000
   1–28.69.10.370.71010.110.30.810.420
   3–42.60.01.440.1493.80.01.520.129
   Unknown17.27.72.000.04521.18.22.510.012
Chemotherapy
   Yes14.812.61.350.17716.813.71.750.080
   No/unknown2.82.20.550.5793.52.70.590.556

OS, overall survival; CSS, cancer-specific survival.

OS, overall survival; CSS, cancer-specific survival.

Discussion

This is the first large population-based study evaluating the effect of radiotherapy in the management of metastatic EC based on the SEER database, revealing that radiotherapy was an independent prognostic factor associated with survival benefits of patients with metastatic EC. EC is one of the leading cause of cancer deaths worldwide with poor prognosis (3,10,11). In general, radiotherapy plays an important role in the treatment of local EC. A study reported a 5-year OS rate of 21% in 101 patients with locally EC receiving radiotherapy alone (12). Then chemoradiotherapy became the preferred treatment and had been shown to improve the quality of life and prolong survival for patients with local metastatic or unresectable EC. Systemic therapy is the standard treatment for metastatic disease, but symptoms caused by metastasis disease often require multidisciplinary management including radiotherapy. However, the value of radiotherapy in the treatment of metastatic EC has not yet been fully evaluated before. This present study can complement the treatment recommended in the current guidelines. Although the research from Wu et al. (13) found that combining surgery with radiotherapy could improve survival in metastatic EC, it based on older populations, older methods of radiotherapy, and did not analyze the clinical benefits of chemotherapy combined with radiation therapy. A phase II study compared concurrent chemoradiation therapy (CCRT) with chemotherapy alone in stage IV esophageal squamous cell carcinoma, demonstrating that CCRT significantly prolonged median progression-free survival (mPFS, 9.3 vs. 4.7 months, P=0.021) and mOS (18.3 vs. 10.2 months, P=0.001) (14). This study challenged the status of standard treatment modality for metastatic EC treated with chemotherapy alone. The results showed that metastatic EC patients had good tolerance to concurrent chemoradiotherapy, and both OS and PFS were higher than chemotherapy alone. The possible mechanisms for radiotherapy to prolong the survival of metastatic disease may be improve local control rate under the premise of effective systemic therapy, produce certain cytokines that further inhibit the proliferation and metastasis of tumor cells. However, the phase II study was presented only in an abstract format, and the value of radiotherapy in the treatment of metastatic EC has not yet been fully evaluated. Thus, it was initially confirmed that the survival benefits of radiotherapy in metastatic EC based on this retrospective and propensity-matched study, which laid the foundation for the following clinical studies. However, the addition of radiotherapy to chemotherapy showed no survival benefits, which was significantly inconsistent with the study mentioned above. The reason for the discrepancy between the two conclusions may be that the specific combination modalities of chemotherapy and radiotherapy such as concurrent or sequential therapy were unknown in this study which might influence survival, and that chemotherapy plays a leading role in the treatment of metastatic EC rather than radiotherapy. The liver is the most common metastatic site of metastatic EC (47.7% of all enrolled patients), there are only few case reports that have reported the local treatment of hepatic metastasis with good clinical efficacy (15,16), while this study showed no survival benefits in matched patients with liver metastasis when radiotherapy was applied. As for patients with more than 3 metastatic sites, radiotherapy did not improve survival, indicating the limitations of local treatment for patients with multiple metastases. The majority of studies found that the prognosis of patients with ADC is much better than the patients with SCC (17,18), however, these studies included all clinical stages of EC, but there was no significant prognostic difference between ADC and SCC in matched patients with advanced stage, and patients of both two types showed survival benefits from radiotherapy. Besides, the multivariable Cox regression analysis demonstrated that age, sex, insurance status, differentiation, chemotherapy were also important prognostic factors for metastatic EC. There were few limitations in this study. Firstly, The SEER database does not provide information about the sites (both primary and metastatic sites) and dose of radiation therapy. Thus, there were no data of treatment response of radiotherapy, which might affect the results of analysis. Secondly, information relating to comorbidities and performance status was not available in the SEER database, which may influence the treatment approach, resulting in selective bias. Thirdly, the impact of chemotherapy regimens was unknown as no data was available in the SEER database. Last, the combination modalities of radiation and chemotherapy had not been shown in the SEER database, which is worthy of further investigations to maximize the survival benefits of radiotherapy in metastatic EC.

Conclusions

This large population-based study demonstrated that radiotherapy could improve the survival of patients with metastatic EC, which provides a line of evidence to guide the current treatment. Further randomized studies are warranted to assess the value of radiotherapy in the management of metastatic EC.
  17 in total

Review 1.  Chemoradiation in the management of esophageal cancer.

Authors:  Lawrence Kleinberg; Arlene A Forastiere
Journal:  J Clin Oncol       Date:  2007-09-10       Impact factor: 44.544

Review 2.  Esophageal cancer: Risk factors, screening and endoscopic treatment in Western and Eastern countries.

Authors:  María José Domper Arnal; Ángel Ferrández Arenas; Ángel Lanas Arbeloa
Journal:  World J Gastroenterol       Date:  2015-07-14       Impact factor: 5.742

3.  Chemoradiotherapy of locally advanced esophageal cancer: long-term follow-up of a prospective randomized trial (RTOG 85-01). Radiation Therapy Oncology Group.

Authors:  J S Cooper; M D Guo; A Herskovic; J S Macdonald; J A Martenson; M Al-Sarraf; R Byhardt; A H Russell; J J Beitler; S Spencer; S O Asbell; M V Graham; L L Leichman
Journal:  JAMA       Date:  1999-05-05       Impact factor: 56.272

4.  Cancer Statistics, 2017.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2017-01-05       Impact factor: 508.702

5.  Long-term outcome of 2920 patients with cancers of the esophagus and esophagogastric junction: evaluation of the New Union Internationale Contre le Cancer/American Joint Cancer Committee staging system.

Authors:  Ralf Gertler; Hubert J Stein; Rupert Langer; Marc Nettelmann; Tibor Schuster; Heinz Hoefler; Joerg-Ruediger Siewert; Marcus Feith
Journal:  Ann Surg       Date:  2011-04       Impact factor: 12.969

6.  Definitive concomitant chemoradiotherapy with docetaxel and cisplatin in squamous esophageal carcinoma.

Authors:  Q-Q Li; M-Z Liu; Y-H Hu; H Liu; Z-Y He; H-X Lin
Journal:  Dis Esophagus       Date:  2009-08-28       Impact factor: 3.429

7.  Liver metastases from esophageal carcinoma: is there a role for surgical resection?

Authors:  J R Huddy; R L Thomas; T R Worthington; N D Karanjia
Journal:  Dis Esophagus       Date:  2014-06-04       Impact factor: 3.429

Review 8.  Global Cancer Incidence and Mortality Rates and Trends--An Update.

Authors:  Lindsey A Torre; Rebecca L Siegel; Elizabeth M Ward; Ahmedin Jemal
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-12-14       Impact factor: 4.254

9.  Radical radiotherapy for carcinoma of the oesophagus: an effective alternative to surgery.

Authors:  A J Sykes; P A Burt; N J Slevin; R Stout; J E Marrs
Journal:  Radiother Oncol       Date:  1998-07       Impact factor: 6.280

10.  Surgery Combined with Radiotherapy Improved Survival in Metastatic Esophageal Cancer in a Surveillance Epidemiology and End Results Population-based Study.

Authors:  San-Gang Wu; Wei-Hao Xie; Zhao-Qiang Zhang; Jia-Yuan Sun; Feng-Yan Li; Huan-Xin Lin; Zhen-Yu He
Journal:  Sci Rep       Date:  2016-06-21       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.