J Cancer 2021; 12(10):3057-3066. doi:10.7150/jca.51413 This issue Cite

Research Paper

Radiofrequency ablation vs. stereotactic body radiotherapy for stage IA non-small cell lung cancer in nonsurgical patients

Ming Li1#, Xiao Xu2#, Yingyi Qin3#, Peng Zhang4#, Changxing Shen1, Qing Xia1, Lihong Fan1,2 Corresponding address

1. Department of Respiratory Medicine, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
2. Shanghai Clinical College, Anhui Medical University, Hefei 230032, Anhui Province, China.
3. Department of Health Statistics, Second Military Medical University, Shanghai 200433, China.
4. Department of Cardio-Thoracic Surgery, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
#These authors contributed equally to this work.

Citation:
Li M, Xu X, Qin Y, Zhang P, Shen C, Xia Q, Fan L. Radiofrequency ablation vs. stereotactic body radiotherapy for stage IA non-small cell lung cancer in nonsurgical patients. J Cancer 2021; 12(10):3057-3066. doi:10.7150/jca.51413. https://www.jcancer.org/v12p3057.htm
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Abstract

Graphic abstract

Background: Approximately 20% resectable non-small cell lung cancer (NSCLC) patients are treated non-surgically due to various reasons. The aim of the present study was to compare the effectiveness of radiofrequency ablation (RFA) and stereotactic body radiotherapy (SBRT) in patients with stage IA NSCLC who were ineligible for surgery using the surveillance, epidemiology and end-results (SEER) Database.

Methods: Using the SEER registry, we identified a total of 6,195 IA NSCLC patients who received SBRT or RFA between 2004 and 2015 because of ineligibility for surgical resection due to various reasons. Complete clinical information was available in all these patients. Overall survival (OS) and cancer-specific survival (CSS) were compared between RFA and SBRT groups by using propensity score matching (PSM), inverse probability of treatment weight (IPTW), and overlap weighting analysis. Additionally, an exploratory analysis was conducted to determine the effectiveness of RFA treatment based on the subsets of clinically relevant patients.

Results: Of the 6,195 nonsurgical IA NSCLC patients, 191 patients (3.1%) received RFA and the other 6,004 patients (96.9%) received SBRT. The one-, three- and five-year OS in the unmatched RFA and SBRT groups were 83.3%, 48.5%and 29.1% vs. 83.8%, 48.3% and 27.4%, respectively, there was similar results in the PSM, IPTW, overlap weighing analysis. Nonsurgical IA NSCLC patients receiving RFA seemed to have better five-year survival than those receiving SBRT, though the difference was not statistically significant (OS, HR; 0.986; 95% CI, 0.827-1.175, P=0.8738; CSS, HR; 0.965; 95% CI, 0.765-1.219, P=0.7663). We found that the odds of receiving RFA decreased with larger tumor size (>2, <3 cm, OR; 0.303; 95% CI, 0.191-0.479; >3 cm, OR; 0.153; 95% CI, 0.093-0.251) compared with tumor size <1 cm. In subgroup analysis, patients receiving RFA seemed to have better OS than those receiving SBRT, though the difference was not statistically significant. This specific trend was even more obvious in patients with tumors <1cm in diameter (P=0.1577).

Conclusion: In comparison with SBRT, RFA did not seem to adversely affect CSS and OS of IA NSCLC patients who were not suitable for surgical treatment. In addition, RFA seemed to offer better survival to IA NSCLC patients, especially those with tumors <1 cm.

Keywords: radiofrequency ablation, stereotactic body radiotherapy, non-small-cell lung carcinoma, survival

Introduction

According to cancer statistics [1], there will be 606,880 patients' whose lives will be claimed by cancers in the USA in 2019, suggesting that about 1,700 cancer-related deaths will occur every day, among which lung cancer is a major death-inducing factor causing about 25% of all cancer-related deaths. To about 16% early diagnosed non-small cell lung cancer (NSCLC) patients, lobectomy resection remains the first-line treatment [2]. However, due to continuously increasing comorbidities or weakened cardiopulmonary functions, even sublobar resection is not suitable for some old or other high-risk patients, let alone a pulmonary resection [3]. Based on the results of current treatment, early diagnosed inoperable lung cancer patients generally have an unsatisfactory performance in the primary tumor control rate ranging between 30% and 40%, and present a high mortality rate, with a three-year overall survival (OS) rate between 20% and 35%. Stereotactic body radiotherapy (SBRT) is a common conventional non-surgical option for those early diagnosed NSCLC patients who are considered inoperable. Nonetheless, the outcome has been shown unsatisfactory, only with a five-year OS rate about 12% and a mean survival duration about 20 months [4,5].

Radiofrequency ablation (RFA) is the latest and promising treatment for cancer patients, including inoperable NSCLC patients [6]. With high feasibility and safety, RFA is able to cause irreversible injury or coagulation necrosis to tumors by utilizing the heat biological effect [7]. Recently, more hospitals are choosing RFA rather SBRT as a non-surgical treatment option for early diagnosed NSCLC [8]. Presently, there are few data to compare the outcomes of these two non-surgical treatment approaches. The aim of the present study was to compare the effectiveness of SBRT and RFA in stage IA NSCLC patients who are deemed ineligible for surgery by using the SEER Database.

Methods

Data source

Using the National Cancer Institute SEER database of (http://seer.cancer.gov/data/options.html), a retrospective analysis was conducted by exempting the data from the institutional review board's oversight. The project of SEER was initiated in 1973 in the USA as population-based registry of cancer which involves about one-tenth of the population in the country. The patient sample of the presented study was selected from the de-identified patients in the NCI SEER 18 Registries (SEER*Stat Database: Incidence-SEER. 18 Custom Data [with additional treatment fields] Nov 2016 Sub), whose data included no personal identifiers and were submitted to the NCI through electronic channels, which are allowed to be used in relevant medical research. The researchers of the present study had obtained the approval from the ethics committee and the institutional review board before using these de-identified data, including the clinicopathological features of the patients, tumor histology, cancer stage, timing and type of the first course treatment, and the therapeutic outcomes. A yearly follow-up rate of 90% for all involved patients whose cancer was diagnosed in recent five years was required for accreditation.

Study population

Inclusion: Of the 618,830 male and female patients with primary NSCLC who were diagnosed with lung adenocarcinoma (AD) (histological codes 8244, 8245, 8250-8255, 8260, 8290, 8310, 8323, 8333, 8480, 8481, 8490, 8507, 8550, 8570, 8571, 8574, and 8576), squamous cell carcinoma (SQCC) (histologic codes 8052, 8070-8075, 8083, 8084, 8123), and large cell carcinoma (LCC) histological codes 8012-8014, 8046, 8050, 8003, 8004, 8022, 8031-8035, 8082, 8200, 8240, 8249, 8430, 8560, 8562, 8980) during the 10-year period from 2004 to 2015, 68,262 patients with clinical stage I NSCLC (T1N0M0) who had not received any surgical treatment such as hepatectomy, surgical resection, extended lobectomy and lobectomy but received either SBRT or RFA were selected as the subjects of the present study. Exclusion: Patients who had been treated with (neo-)adjuvant chemotherapy or had unknown chemotherapy information were excluded from the study. Finally, 6,195 patients who met the above inclusion and exclusion criteria were recruited for the present study (Figure 1).

Covariates

During the analysis, variables on the tumor, facility and patient level were considered. Variables on the tumor level included the year of diagnosis (2004-2007, 2008-2011 and 2012-2015), tumor size and TNM stage, with the tumor grade available to patients undergoing biopsy for tumor evaluation. Variables on the facility level included the geographic region, quarterly case volume, distance from the treatment facilities to the residence of the patients, and facility type as assigned by the Cost Optimization Committee (COC). Major treatment facilities could be seen in the accreditation category assigned by the COC on the basis of services available and the case volume, including the integrated network cancer program, comprehensive community and community. Variables on the patient level included the race, gender, age at the time of diagnosis, the status of insurance, percentages of patients with the highest education under high school, and the median family income based on the patient ZIP code. The SEER data dictionary has provided a comprehensive description of all included variables for reference.

Objectives

The present study was conducted primarily to compare OS and cancer-specific survival (CSS) in early diagnosed inoperable NSCLC patients who underwent the treatment of SBRT or RFA. The CSS and OS were defined as the period from the date of diagnosis to the date of death of the patients. Besides, this study also tried to determine the effectiveness of RFA treatment based on the subsets of clinically relevant patient.

 Figure 1 

Flow chart of patient selection for the study. Abbreviations: RFA: radiofrequency ablation; SBRT: stereotactic body radiotherapy.

J Cancer Image

Statistical analysis

Wilcoxon Rank Sum test, Chi-square test, or Cochran-Mantel-Haenszel (CMH) test was applied to assess the correlations between different treatment methods and all the variables mentioned above. The primary outcomes included the survival rate and survival curve estimated on the basis of the Kaplan-Meier estimator. OS and CSS between SBRT and RFA were compared by using univariable and multivariable Cox proportional hazards models adjusted for all the baseline covariates. Additionally, three PS models (PSM, IPTW and overlap weighting method) were used in our study. The PS of receiving RFA was estimated via a multivariable logistic regression model. The final PS model was determined by using stepwise variable selection on the condition of P<0.20 to be initially included, and P>0.10 to eventually remain in the model. Patients in the SBRT and RFA groups were matched based on the nearest available matching method with a ratio of 3:1. The calculation of a stabilized inverse probability of treatment weight was performed based on the score of propensity. IPTWs were truncated at the 5th and 95th percentiles. The overlap weights were constructed according to method suggested by Fan Li et al [8]. The weights for SBRT were PSRFA, and the weights for SBRT were (1-PSRFA). For the PS models of OS and CSS, all patients were subjected to the calculation of Kaplan-Meier estimators, and the comparison of the results in different groups was performed by conducting the log-rank test. We conducted subgroup analyses to further explore the therapeutic outcomes based on age, sex, race, year of diagnosis, tumor size, histology, education, and median income level among the patients in the matched group. The R software package (version 3.4.1) and SAS software (version 9.4; SAS Institute, Cary, NC) were used to perform all the calculations.

Results

Factors associated with the use of RFA and SBRT

A total of 6,195 nonsurgical and non-chemotherapy patients with stage IA NSCLC were identified during the 10-year period from 2004 to 2015, of whom 191 patients (3.1%) received RFA and 6,004 (96.9%) patients received SBRT as the primary treatment modality. Details about the treatment selection are presented in Figure 1.

The baseline characteristics of the patients are shown in Table 1. There were significant differences in the household income, education level, tumor size, geographical region, year of diagnosis and histology between SBRT and RFA in the unadjusted cohorts. The was no significant difference in the characteristics of the unadjusted cohorts, including the race, gender, primary labeled, Grade, Laterality, Marital status. With respect to the covariate, the two groups reached a good sound balance in propensity-score matched treatment (Table 1). Nonetheless, the clinical characteristics barely showed any significant difference in the adjusted cohorts.

 Table 1 

Demographic and clinical characteristics of patients with lung cancer

CharacteristicsBefore propensity score matchingAfter propensity score matchingStandardized difference
SBRT (n=6004)RFA (n=191)P SBRT (n=516)RFA (n=172)P UnmatchedMatchedIPTWOverlap weighting
Age at diagnosis, Mean (SD)74.48 (8.89)74.37 (9.03)0.820074.50 (8.83)74.16 (9.11)0.6337-0.0130-0.0376-0.0158-0.0571
Age (n,%)0.96210.79300.06480.08520.06750.1103
≤446 (0.10)0 (0.00)0 (0.00)0 (0.00)
45-54110 (1.83)3 (1.57)5 (0.97)3 (1.74)
55-64730 (12.16)26 (13.61)61 (11.82)23 (13.37)
65-741964 (32.71)62 (32.46)181 (35.08)60 (34.88)
≥753194 (53.20)100 (52.36)269 (52.13)86 (50.00)
Race (n,%)0.14770.51410.19140.10550.19450.1800
White5156 (85.88)175 (91.62)455 (88.18)157 (91.28)
Black574 (9.56)10 (5.24)43 (8.33)10 (5.81)
Others265 (4.41)6 (3.14)18 (3.49)5 (2.91)
Unknown9 (0.15)0 (0.00)0 (0.00)0 (0.00)
Female (n,%)3387 (56.41)111 (58.12)0.6403298 (57.75)99 (57.56)0.9645-0.03440.0039-0.0326-0.0299
Year of diagnosis<0.00010.92870.88630.03370.8264<0.0001
2004-2007866 (14.42)86 (45.03)206 (39.92)67 (38.95)
2008-20111814 (30.21)67 (35.08)203 (39.34)67 (38.95)
2012-20153324 (55.36)38 (19.90)107 (20.74)38 (22.09)
Region<0.00010.84670.56610.07980.5187<0.0001
EAST2673 (44.52)51 (26.70)167 (32.36)51 (29.65)
NORTHWEST or WEST2312 (38.51)125 (65.45)298 (57.75)106 (61.63)
NORTH855 (14.24)12 (6.28)41 (7.95)12 (6.98)
SOUTHWEST164 (2.73)3 (1.57)10 (1.94)3 (1.74)
Primary labeled0.43040.25420.17440.20100.17620.1853
Upper lobe3715 (61.88)109 (57.07)322 (62.40)98 (56.98)
Middle lobe270 (4.50)12 (6.28)17 (3.29)11 (6.40)
Lower1892 (31.51)68 (35.60)165 (31.98)61 (35.47)
NOS96 (1.60)1 (0.52)9 (1.74)1 (0.58)
Overlapping11 (0.18)0 (0.00)0 (0.00)0 (0.00)
Main20 (0.33)1 (0.52)3 (0.58)1 (0.58)
Grade0.48020.68200.13940.13180.13320.0754
I503 (8.38)17 (8.90)38 (7.36)17 (9.88)
II994 (16.56)23 (12.04)78 (15.12)22 (12.79)
III1212 (20.19)41 (21.47)102 (19.77)39 (22.67)
Undifferentiated33 (0.55)2 (1.05)4 (0.78)1 (0.58)
Unknow3262 (54.33)108 (56.54)294 (56.98)93 (54.07)
Laterality0.29580.3280-0.0774-0.0866-0.0718-0.0721
Right3418 (56.93)116 (60.73)290 (56.20)104 (60.47)
Left2586 (43.07)75 (39.27)226 (43.80)68 (39.53)
Paired site0 (0.00)0 (0.00)0 (0.00)0 (0.00)
Histology0.00210.25970.29180.18120.28040.1874
Squamous2017 (33.59)41 (21.47)147 (28.49)37 (21.51)
Adenocarcinoma2897 (48.25)101 (52.88)242 (46.90)92 (53.49)
Large-cell68 (1.13)3 (1.57)10 (1.94)2 (1.16)
Others1022 (17.02)46 (24.08)117 (22.67)41 (23.84)
Tumor size<0.00010.84170.48070.07980.4609<0.0001
≤1 cm272 (4.53)29 (15.18)73 (14.15)23 (13.37)
1-2 cm2926 (48.73)105 (54.97)291 (56.40)92 (53.49)
2-3 cm2795 (46.55)55 (28.80)147 (28.49)55 (31.98)
Unknown11 (0.18)2 (1.05)5 (0.97)2 (1.16)
Insurance Recode<0.00010.17720.58560.21670.55610.2046
Medicaid627 (10.44)6 (3.14)41 (7.95)6 (3.49)
Uninsured30 (0.50)0 (0.00)2 (0.39)0 (0.00)
Unknown705 (11.74)63 (32.98)151 (29.26)50 (29.07)
Insured4642 (77.32)122 (63.87)322 (62.40)116 (67.44)
Marital status0.09030.38810.24240.18290.23800.1998
Married2582 (43.00)79 (41.36)224 (43.41)72 (41.86)
Single650 (10.83)13 (6.81)55 (10.66)12 (6.98)
Divorced786 (13.09)34 (17.80)74 (14.34)32 (18.60)
Widowed1707 (28.43)61 (31.94)145 (28.10)52 (30.23)
Unknown270 (4.50)4 (2.09)18 (3.49)4 (2.33)
Unmarried or domestic partner9 (0.15)0 (0.00)0 (0.00)0 (0.00)
Education0.00020.90660.32880.06590.30380.0000
≥21758 (12.62)27 (14.14)70 (13.57)25 (14.53)
13-201810 (30.15)79 (41.36)197 (38.18)68 (39.53)
7-122952 (49.17)64 (33.51)199 (38.57)61 (35.47)
<7484 (8.06)21 (10.99)50 (9.69)18 (10.47)
Median income level<0.00010.93200.42230.05870.3911<0.0001
<38000356 (5.93)5 (2.62)18 (3.49)5 (2.91)
38000-479991019 (16.97)12 (6.28)39 (7.56)12 (6.98)
48000-629992245 (37.39)99 (51.83)253 (49.03)82 (47.67)
>630002384 (39.71)75 (39.27)206 (39.92)73 (42.44)

Abbreviations: RFA: radiofrequency ablation; SBRT: stereotactic body radiotherapy; IPTW: inverse probability of treatment weight.

 Table 2 

Propensity Modeling of Receipt of RFA

CharacteristicsOR95% CIP
Year of diagnosis
2004-2007Reference
2008-20110.3590.255 to 0.504<.0001
2012-20150.1110.075 to 0.166<.0001
Region
EASTReference
NORTHWEST or WEST2.3421.595 to 3.438<.0001
NORTH0.5630.284 to 1.1170.1003
SOUTHWEST0.9560.289 to 3.1640.9407
Tumor size
≤1 cmReference
≤2 cm0.3030.191 to 0.479<.0001
≤3 cm0.1530.093 to 0.251<.0001
Unknown1.3950.280 to 6.9660.6846
Education
≥21Reference
13-201.4280.873 to 2.3360.1553
7-120.7380.425 to 1.2820.2814
<71.7840.888 to 3.5850.1041
Median income level
<38000Reference
38000-479990.7360.249 to 2.1750.5797
48000-629992.4110.911 to 6.3760.0762
>630001.5860.569 to 4.4230.3777

Abbreviations: RFA: radiofrequency ablation; OR: Odds Ratio.

Factors affecting treatment selection

As demonstrated in Table 2, selection of the treatment method was related not only to the clinicopathological features of the patients but to their socio-economic conditions. The probability of choosing RFA as the treatment method decreased with the increase of the tumor size (>2, <3 cm, OR; 0.303; 95% CI, 0.191-0.479; >3 cm, OR; 0.153; 95% CI, 0.093-0.251) compared with the tumor size <1 cm. Patients who were admitted in hospitals in Northwest and West China and between 2004 and 2007 were more likely to accept RFA (Odds Ratio; 2.342: 95% CI, 1.595-3.438 and OR; 2.342: 95% CI, 0.255-0.504, P<0.0001). There was no significant difference in the household income and education level between the two groups (Table 2).

Survival analysis

The median post-treatment follow-up period was 20 months (interquartile range 9-37 months). The median OS was 36 months for RFA, and 35 months for SBRT. The one-, three- and five-year OS rate was 83.3%, 48.5% and 29.1% for RFA vs. 83.8%, 48.3% and 27.4% for SBRT, respectively. PSM, IPTW and Overlap Weighting analysis revealed similar results (Table 3). The curves of stage-specific OS are illustrated in Figure 2.

The results of CSS curves are shown in Figure S1 and Table S1 (online only). The median time of CSS was 62 months for RFA, and 58 months for SBRT. The results of the log-rank analysis showed a barely significant difference in CSS and OS in the unadjusted cohort (P>0.05). The one-, three- and five-year CSS rate was 91%, 66.7% and 52.0% for RFA vs. 90.5%, 65.6% and 48.1% for SBRT, respectively. PSM, IPTW and Overlap Weighting analysis revealed the similar results.

The results of the exploratory sub-group analysis in the matched cohort showed consistent results about the impact of RFA on OS in sub-groups examined, with insignificant HR heterogeneity. The propensity-matched HRs based on different facilities, clinical and demographic features between SBRT and RFA groups are shown in Figure 3. Patients receiving RFA seemed to have better OS than those receiving SBRT, though the difference was not statistically significant. This specific trend was even more obvious in patients with tumors <1 cm in diameter (P=0.1577) (Figure 3).

Discussion

In this study, we used the SEER Database to conduct a series of factor analyses on the effectiveness of RFA vs. SBRT in the treatment of stage IA NSCLC patients who were ineligible for surgery. The results demonstrated that RFA did not adversely affect the survival benefit in terms of OS and CSS as compared with SBRT before and after IPTW, PSM and overlap weighting method. Patients receiving RFA seemed to have better OS than those receiving SBRT, especially in patients with tumors < 1 cm in diameter.

SBRT is traditionally considered the most appropriate treatment for NSCLC patients who are ineligible for surgery or refuse to accept surgical treatment. The effectiveness of SBRT in treating stage I NSCLC has been confirmed by large numbers of previous studies [12-16]. Their results showed that the tumor control rate of SBRT was comparable to that of surgery, especially in patients with inoperable early NSCLC. However, the clinical outcome of OS in patients receiving SBRT has been unsatisfactory due to the high chances of untreated lung cancer progress, underlying conditions such as chronic lung diseases, and poor general conditions of the patients. However, the tolerable dose of SBRT for risky organs, appropriateness of dose-fractionation, and other oncology-related issues remain undefined due to insufficient case samples and short periods of follow-up observation [17,18]. In the cohort of RFA, a larger number of comorbidities may also be taken into account. Besides the effectiveness, the cost is another essential factor that should be taken into account in selection of relevant therapies. Generally, SBRT treatment calls for a complex plan for following treatment, assurance of high quality and complex procedures of delivery, which may result in costs beyond the support of the general healthcare system [19]. There have been very few studies that have focused on the cost-effectiveness of SBRT treatment in the case of NSCLC [20.21]. Even though so far SBRT is still the primary choice in treating inoperable NSCLC patients, the application of RFA is being popularized. Some studies maintained that RFA lacked cost-effectiveness in treating inoperable NSCLC patients as compared with SBRT [22].

 Figure 2 

Overall survival in nonsurgically managed patients with stage IA NSCLC. A: The unmatched analysis; B: The propensity score matched analysis; C: The inverse probability of treatment weight-adjusted analysis; D: The overlap weighting analysis. Abbreviations: RFA: radiofrequency ablation; SBRT: stereotactic body radiotherapy.

J Cancer Image
 Figure 3 

Forest plot depicting hazard ratios of RFA versus SBRT for nonsurgically managed stage IA NSCLC in the propensity score-matched population. Abbreviations: RFA: radiofrequency ablation; SBRT: stereotactic body radiotherapy.

J Cancer Image
 Table 3 

Overall Survival Rates (%) of RFA versus SBRT in patients with NSCLC

YearUnmatched (95% CI)Matched (95% CI)IPTW (95% CI)Overlap Weighting (95% CI)
RFASBRTRFASBRTRFASBRTRFASBRT
183.3 (78.1-88.8)83.8 (82.8-84.8)83.2 (77.7-89.1)81.5 (78.1-85.0)83.4 (78.2-88.9)83.8 (82.8-84.8)83.6 (78.1-89.4)82.2 (76.5-88.3)
263.5 (56.8-70.9)64.3 (62.9-65.7)62.9 (55.8-70.8)61.5 (57.2-66.0)63.7 (57.0-71.1)64.3 (62.9-65.7)63.7 (56.6-71.6)62.1 (54.9-70.2)
348.5 (41.6-56.6)48.3 (46.8-49.9)47.3 (40.0-55.9)41.9 (37.6-46.7)48.5 (41.6-56.6)48.3 (46.8-49.8)48.4 (41.1-57.0)46.2 (38.8-55.0)
438.0 (31.2-46.2)36.5 (35.0-38.2)36.0 (28.9-44.7)32.5 (28.4-37.2)37.7 (31.0-45.9)36.5 (34.9-38.1)37.2 (30.1-46.0)34.3 (27.3-43.1)
529.1 (22.8-37.1)27.4 (25.8-29.1)27.3 (20.7-35.8)23.8 (20.0-28.4)29.0 (22.7-37.0)27.3 (25.7-29.0)28.4 (21.8-37.0)25.4 (18.9-34.0)

Abbreviations: RFA: radiofrequency ablation; SBRT: stereotactic body radiotherapy; IPTW: inverse probability of treatment weight.

In our opinion, RFA has many advantages. Firstly, as an image-guided technique of thermal ablation, RFA is the most chosen treatment. PET-CT, CT, or sometimes biopsy is used to determine the recurrence [25-30]. In addition, RFA has proven to have high feasibility and safety as a non-surgical NSCLC treatment. RFA is able to eradicate tumors with the thermal effect without causing much damage to nearby tissues. Ambrogi et al [25] reported that RFA could lower mortality without significantly impair the pulmonary function. There was no pneumothorax that was delayed. In a series comprising one thousand sessions of RFA [31], there was a low chance (1.6%) for pneumothorax, suggesting that RFA could be safely and effectively applied to the treatment of patients with inoperable NSCLC.

Our study showed that nonsurgical IA NSCLC patients receiving RFA seemed to have better five-year survival than those receiving SBRT, though the difference was not statistically significant (OS, HR; 0.986; 95% CI, 0.827-1.175, P=0.8738; CSS, HR; 0.965; 95% CI, 0.765-1.219, P=0.7663). The one-, three-, and five-year OS rate was 83.3%, 48.5% and 29.1% for RFA vs. 83.8%, 48.3% and 27.4% for SBRT respectively, showing no significant differences between the two modalities (P>0.05). Lam et al [10] reported that the one-, three- and five-year OS in stage IA and IB NSCLC patients was 89.3%, 52.7% and 27.1% for RFA vs. 85.5%, 54.3% and 31.9% for SBRT, respectively. Earlier research failed to report tumor size with RFA in NSCLC. In our study, patients receiving RFA seemed to have better OS as compared with those receiving SBRT, especially in patients with tumors <1 cm in diameter. A number of recent studies have reported promising results about cancer rates, ranging between 60% and 69%. It is clear that tumor size is an important factor in deciding the therapeutic outcome. It is generally believed that SBRT can provide better local control of large tumors, but it does not mean that SBRT can equally provide better survival. Further research should concentrate on factors that have more clinical relevance such as OS in evaluating the efficacy of various ablative treatments. We hope that the data obtained in the present study could be used as a bench-mark for further relevant research.

With the improvement of the multimodality image fusion and navigation technologies, the interventional radiology has also improved remarkably [23,24], which is very much likely to improve the effectiveness and accuracy of RFA-based treatment. However, there is no solid evidence to prove that the enhancement in interventional radiology has actually resulted in a better RFA treatment outcome in inoperable NSCLC patients. The result of analysis in our study showed no significant difference in CSS and OS between SBRT and RFA in inoperable NSCLC patients.

When it comes to the research design and the source of the research data, there are undeniably some limitations in the present study. In spite of the gradual popularization of RFA in the treatment of unresectable localized NSCLC, there has not yet been any report about the randomized controlled trials which compare the OS of patients after being treated with RFA. Even though randomized clinical trials cannot be completely replaced by observational studies, these studies still provide a good chance to fill in the gap of professional knowledge and provide answers for those questions that randomized trials are still trying to address [11]. Secondary, SEER provides no data of cancer recurrence, for which the authors failed to make necessary analysis on relevant points. Besides, the entire study focused on the analysis of CCS and OS, but there are some other factors, including patient tolerance to invasive treatments, tumor location, toxicity, and cost-effectiveness, which should also be included in the discussion.

Despite the above limitations, the present study also possesses some obvious strengths. To the best of our knowledge, this is the largest cohort study to compare the therapeutic efficacy of SBRT and RFA for the treatment of inoperable NSCLC patients by using IPTW, PSM and overlap weighting methods. Our data suggest that RFA does not seem to adversely affect CSS and OS of stage IA NSCLC patients who are ineligible for surgery as compared with SBRT, which is also consistent with the result of all sub-group analyses in our exploratory investigation.

Generally speaking, our findings suggest that there's no difference of OS and CSS in patients who receive nonoperative treatment of RFA versus SBRT for stage IA NSCLC. Although our results are limited by systemic biases related to the retrospective study, especially under the condition of lacking of a randomized clinical trial, we still believe that our findings could be considered into account while local ablative therapy is the optimal treatment for localized unresectable NSCLC. Rigorous prospective randomized studies are needed to in the future to determine the role of SBRT and then optimize patient selection in this population.Our study showed no significant difference in OS and CSS between stage IA NSCLC patients receiving RFA and those receiving SBRT. Although our results may be limited by systemic biases related to the retrospective study, we still believe that our findings could be considered into account RFA is the optimal treatment for localized unresectable NSCLC, especially for those with tumors <1 cm. Rigorous prospective randomized studies are needed in future to determine the role of RFA in stage IA NSCLC patients and optimize patient selection in this population.

Abbreviations

NSCLC: non-small cell lung cancer; RFA: radiofrequency ablation; SBRT: stereotactic body radiotherapy; OS: overall survival; CSS: cancer-specific survival; IPTW: inverse probability of treatment weight; PSM: propensity score-matched; SEER: Surveillance, Epidemiology, and End Results registry; OR: odds ratio; HR: hazard ratio; CMH: Cochran-Mantel-Haenszel.

Supplementary Material

Supplementary figures and tables.

Attachment

Acknowledgements

We would like to thank all the staff of the National Cancer Institute for their efforts in the SEER program.

Funding

This work was supported by the National Natural Science Foundation of China (No. 81802262, 31770131, 81473469), the Fundamental Research Funds for the Central Universities (No. 22120180584), Shanghai Tenth Hospital's Improvement Plan for NSFC (No. 04.03.17.032, 04.01.18.048, SYGZRPY2017014), Shanghai Shen Kang Hospital Development Center plan (SHDC12018119) and Scientific Research Projects of Shanghai Municipal Commission of Health and Family Planning (201840056, ZHYY-ZXYJHZX-201607).

Ethical approval

All procedures performed in this study involving human participants are in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. For this type of study, formal consent is waived.

Author Contributions

Conception and design: M.L., X.X., Q.X., X.C.S and Y.Y.Q. Acquisition, statistical analysis or interpretation of the data: all authors. Drafting of the manuscript: H.L.F. All authors reviewed and approved the final version of the manuscript.

Competing Interests

The authors have declared that no competing interest exists.

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Author contact

Corresponding address Corresponding author: Lihong Fan, Shanghai Clinical College, Anhui Medical University, Hefei 230032, Anhui Province, China. Department of Respiratory Medicine, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072, China. Tel/Fax: 86-021-66301685/86-021-66301685; E-mail: fanlihcom.


Received 2020-8-2
Accepted 2020-12-27
Published 2021-3-19


Citation styles

APA
Li, M., Xu, X., Qin, Y., Zhang, P., Shen, C., Xia, Q., Fan, L. (2021). Radiofrequency ablation vs. stereotactic body radiotherapy for stage IA non-small cell lung cancer in nonsurgical patients. Journal of Cancer, 12(10), 3057-3066. https://doi.org/10.7150/jca.51413.

ACS
Li, M.; Xu, X.; Qin, Y.; Zhang, P.; Shen, C.; Xia, Q.; Fan, L. Radiofrequency ablation vs. stereotactic body radiotherapy for stage IA non-small cell lung cancer in nonsurgical patients. J. Cancer 2021, 12 (10), 3057-3066. DOI: 10.7150/jca.51413.

NLM
Li M, Xu X, Qin Y, Zhang P, Shen C, Xia Q, Fan L. Radiofrequency ablation vs. stereotactic body radiotherapy for stage IA non-small cell lung cancer in nonsurgical patients. J Cancer 2021; 12(10):3057-3066. doi:10.7150/jca.51413. https://www.jcancer.org/v12p3057.htm

CSE
Li M, Xu X, Qin Y, Zhang P, Shen C, Xia Q, Fan L. 2021. Radiofrequency ablation vs. stereotactic body radiotherapy for stage IA non-small cell lung cancer in nonsurgical patients. J Cancer. 12(10):3057-3066.

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