Abstract
Introduction
It remains unclear if histology should be independently considered when choosing stereotactic ablative body radiotherapy (SABR) dose prescriptions for non-small cell lung cancer (NSCLC).
Methods
The study population included 508 patients with 561 lesions between 2000 and 2016, of which 442 patients with 482 lesions had complete dosimetric information. Eligible patients had histologically or clinically diagnosed early-stage NSCLC and were treated with 3 to 5 fractions. The primary endpoint was in-field tumor control censored by either death or progression. Involved lobe control was also assessed.
Results
At 6.7 years median follow-up, 3-year in-field control, involved lobe control, overall survival, and progression-free survival were 88.1%, 80.0%, 49.4%, and 37.2%, respectively. Gross tumor volume (GTV, HR=1.01 per mL, p=0.0044) and histology (p=0.0225) were independently associated with involved lobe failure; GTV (HR=1.013, p=0.001) and GTV dose (cutoff of 110Gy, biologically effective dose with α/β=10 [BED10], HR=2.380, p=0.0084) were independently associated with in-field failure. For squamous cell carcinomas, lower prescription doses were associated with worse in-field control (12Gyx4 or 10Gyx5 vs. 18Gy or 20Gyx3: HR=3.530, p=0.0447, confirmed by propensity score matching) and was independent of GTV (HR=1.014 per mL, 95% CI 1.005–1.022, p=0.0012). For adenocarcinomas, there were no differences in in-field control observed using the above dose groupings (p=0.12 and p=0.31).
Conclusions
In the absence of level I data, GTV and histology should be considered to personalize radiation dose for SABR. We suggest lower prescription doses (i.e., 12Gyx4 or 10Gx5) should be avoided for squamous cell carcinomas if normal tissue tolerances are met.
Keywords: SBRT, SABR, histology, NSCLC
Introduction
Non-small cell lung carcinoma (NSCLC) represents approximately 84% of lung cancer cases in the United States1. Approximately 30% of early stage NSCLC patients are inappropriate for or refuse surgical resection. Historically, such patients received conventionally fractionated radiotherapy with expected 3-year overall survival (OS) between 20 and 35% and local failure rates between 40 and 60%2,3. In an attempt to improve outcomes, stereotactic ablative radiation (SABR; also called stereotactic body radiation therapy) was initially explored in medically inoperable patients, with one of the first trials originating from Timmerman et al. at Indiana University4. Subsequently, the Radiation Therapy Oncology Group conducted a phase II trial (RTOG 0236) evaluating the efficacy of SABR for patients with peripherally located tumors. The reported 3-year local control (LC) rate was 98% with a 3-year OS of 56% and a median OS of 4 years2. Other prospective and retrospective studies have corroborated these findings5–7. A pooled analysis of two prematurely closed randomized trials comparing SABR vs. lobectomy for operable stage I (T1-2aN0M0) NSCLC patients suggested clinical equipoise between SABR and surgery, with a 3-year OS of 95% vs. 79%, respectively8.
Risk factors for recurrence have been explored in surgical series, and findings suggest that outcomes are dependent on extent of resection and histology9,10, including worse outcomes in squamous cell carcinomas and differing outcomes based on adenocarcinoma subtypes11–14. Similar analyses for SABR are limited. Evidence suggests that biologically effective dose (α/β=10, BED10) cutoffs predict better control5,15–23. In addition, recent publications suggest histology may also play a role for predicting treatment response following SABR6,24. We aim to identify risk factors for recurrence using our institution’s 16–year experience utilizing SABR for NSCLC to allow personalization of dose prescriptions according to patient, tumor, and treatment-specific characteristics.
Materials and Methods
Study population
This study is an Institutional Review Board-approved retrospective review of outcomes after SABR for NSCLC. We included patients treated from 2000 to 2016 who were identified by medical billing codes and relevant billing information.
Eligible patients were ≥18 years of age with histologically or clinically diagnosed early stage NSCLC; synchronous and metachronous lesions were included, the latter of which only if a previously treated NSCLC was felt to be cured25. Clinical diagnosis was based on radiographic suspicion, most often via tumor board consensus26,27. Patients were either inoperable or had elected against surgery. Patients were excluded if they had systemic spread of lung cancer at the time of SABR.
Treatment details
Treatment planning and delivery evolved during the study period. All patients underwent computed tomography (CT) simulation in the supine position with immobilization for stereotactic treatment. Heterogeneity corrections were taken into account starting in 2007. Radiation plans were calculated using AAA (Analytical Anisotropic Algorithm, ECLIPSE) with heterogeneity corrections, AAA (ECLIPSE) without heterogeneity corrections, pencil beam (Render plan) without heterogeneity corrections, or convolution/superposition (XiO CMS) without heterogeneity corrections. Radiation was delivered in 3 to 5 fractions with at least one day between fractions. Gross tumor volume (GTV) was defined as visible tumor on CT using lung windows; other imaging was used as needed. Internal target motion was taken into account with fluoroscopy initially and 4D-CT more recently to generate an internal target volume (ITV), and margins were added to generate the planning target volume (PTV). Prescriptions typically were to the 80% isodose line, and the prescription typically covered at least 95% of the PTV. More recently in the IMRT setting, prescriptions were typically 95% of the PTV receiving 100% of the prescription and 99% of the ITV receiving at least 110% of the prescription. Radiation doses are represented as Gy BED10 except when dose is stated as “dose per fraction x # of fractions”. A small proportion of the study cohort received suboptimal doses (i.e., prescription dose <100Gy) according to current standards (n=30 patients and lesions in the study cohort; n=23 patients and lesions in the dosimetric cohort), as they were enrolled on dose escalation trials.
Data collection
The date of diagnosis was defined as the date of tumor sampling for those with histologic diagnosis or the date of imaging prompting additional work up for those with clinical diagnosis. In total, 15.3% (n=86) of lesions were diagnosed clinically, of which 12.7% (n=71) had no biopsy and 2.7% (n=15) had no pathology report available for review. The date of last follow-up was defined as the date the patient last visited with a radiation oncologist, medical oncologist, surgical oncologist, or pulmonologist. The T stage was updated for all lesions to be consistent with the American Joint Committee on Cancer 7th edition (AJCC 7e) staging.
Follow-up was done at the discretion of the treating physician. Follow-up imaging most often was by CT or positron emission tomography (PET). Recurrences were determined by reviewing the patient’s serial imaging (CT, PET/CT) and the clinical judgement of treating physicians. Sites of recurrences were defined as in-field (failure within or abutting the PTV), involved lobe (any failure within the treated lobe28), different ipsilateral lobe, contralateral lung, regional nodes (failure within the hilum, mediastinum, and supraclavicular nodes), and distant sites (per AJCC 7e staging). Synchronous tumors were staged independently and metachronous lesions were staged as new primary lung cancers.
Clinical or pathologic determination of failure took precedence for coding date of failure. If not available, the documented radiology interpretation of serial imaging was used. If radiology interpretation was equivocal, the authors (TL, KS, and AC) jointly reviewed the case and used all available imaging to determine failure. In-field failure cases were also jointly reviewed.
A subset of 442 patients with 482 lesions had treatment plans available for review. Plans that did not have heterogeneity corrections applied were recalculated with heterogeneity corrections using AAA version 11 when feasible. Recalculation was not possible for 173 plans calculated on Render or XiO systems (no heterogeneity corrections). Although the differences in calculated dose to the isocenter were reported to be 13.4% higher on average for AAA heterogeneity corrected plans as compared with non-heterogeneity corrected plans, the D95% is reported to be only 2.9% greater on average for AAA versus non-heterogeneity corrected plans, for the same given monitor units 29. Because of this small difference, plans for which recalculation with heterogeneity correction was not possible were not excluded from the study population.
Statistical analysis
OS was calculated from the date of diagnosis until death or last follow-up. Time to recurrence was calculated from the date of diagnosis until failure, death, or last follow-up. In-field control was analyzed in two different ways. First, in-field control considered in-field failure as an event and was censored only at death or last follow-up to acknowledge that treated lesion failure may still occur after a non-local failure, consistent with other control endpoints. Next, in-field control was re-analyzed by censoring at death, last follow-up, and first non-in-field failure to acknowledge that any failure may precipitate a change in therapy that could affect in-field control (figure S1).
Multivariate models were calculated using Cox proportional hazards modeling. Survival and control were estimated using the Kaplan-Meier method. Propensity score matching was performed for in-field control to compare patients divided into different groups based on dose-fractionation schedules or (separately) histology. Patients were matched using GTV, T stage, age, and history of previous NSCLC. Nomograms were generated using logistic regression modeling with the Bioconductor/R rms (version 5.1–2) package. The performance of the model was evaluated using the receiver operating characteristic curve and areas under the curve (AUC). Logistic regression was also used to identify factors that may be predictive of long-term survival (>5 years). All statistical analyses were two-sided, and p values <0.05 were deemed statistically significant. SAS version 9.4 (SAS Institute, Cary, NC) was used.
Results
From 2000 to 2016, 508 patients with 561 lesions met eligibility criteria and were treated with SABR. Table 1 summarizes patient demographics and baseline characteristics. The most common histologies were adenocarcinoma (36.7%), squamous cell carcinoma (31.9%), and NSCLC not otherwise specified (18.4%); 15.3% were diagnosed clinically. Overall, 28.0% of lesions were treated in the setting of previously cured lung cancers. The most common fractionation schemes were 12Gy x4 fractions (30.5%), 20Gy x3 (20.3%), 18Gy x3 (15.2%), and 10Gy x5 (12.1%) (table 2).
Table 1.
Patient and lesion characteristics.
| Patient characteristics. | ||||||
|---|---|---|---|---|---|---|
| Study cohort (n=561) | Dosimetric subset (n=482) | p-value** | ||||
| Median age (range), yrs.a | 72.4 | (42.1–100) | 72.2 | (44.1–93.9) | 0.74 | |
| Sex (%).a | Female | 239 | (47.1%) | 224 | (50.7%) | 0.26 |
| Lesion characteristics. | n | (%) | n | (%) | ||
| Prior history of NSCLC | Yes | 157 | (28.0) | 134 | (27.8) | 0.95 |
| Histology | Adenocarcinoma | 206 | (36.7) | 185 | (38.4) | 0.95 |
| Squamous cell carcinoma | 179 | (31.9) | 150 | (31.1) | ||
| NSCLC NOS* | 103 | (18.4) | 87 | (18.1) | ||
| Adenosquamous cell carcinoma* | 1 | (0.2) | 0 | (0) | ||
| Large cell carcinoma* | 1 | (0.2) | 1 | (0.2) | ||
| No pathology | 71 | (12.7) | 59 | (12.2) | ||
| Location | Right upper lobe | 174 | (31.0) | 155 | (32.2) | 0.99 |
| Right middle lobe | 41 | (7.3) | 37 | (7.7) | ||
| Right lower lobe | 111 | (19.8) | 95 | (19.7) | ||
| Left upper lobe | 153 | (27.3) | 127 | (26.4) | ||
| Left lower lobe | 82 | (14.6) | 68 | (14.1) | ||
| Method of diagnosis | Imaging/clinical | 86 | (15.3) | 71 | (14.7) | 0.79 |
| Stage | T1 | 410 | (73.1) | 354 | (73.4) | 0.89 |
| T2 | 142 | (25.3) | 122 | (25.3) | ||
| T3 | 9 | (1.6) | 6 | (1.2) | ||
NOS: not otherwise specified.
These characteristics were for unique patients (n=508 and 442, respectively) and not unique lesions.
These histologies were grouped under “other histology” for analysis.
All p-values are from t-tests (continuous) or Chi-Square tests.
Table 2.
Summary of dose-fractionation schemes.
| Study cohort (n=561) | Dosimetric cohort (n=482) | p-value | ||||
|---|---|---|---|---|---|---|
| # of fractions | Dose per fraction (Gy) | n | (%) | n | (%) | 0.83 |
| 3 | < 18 | 45 | (8.0) | 27 | (5.6) | |
| = 18 | 85 | (15.2) | 78 | (16.2) | ||
| = 20 | 114 | (20.3) | 90 | (18.7) | ||
| > 18 (except 20) | 44 | (7.8) | 35 | (7.3) | ||
| 4 | < 12 | 2 | (0.4) | 1 | (0.2) | |
| = 12 | 171 | (30.5) | 158 | (32.8) | ||
| > 12 | 15 | (2.7) | 12 | (2.5) | ||
| 5 | < 10 | 14 | (2.5) | 12 | (2.5) | |
| = 10 | 68 | (12.1) | 68 | (14.1) | ||
| > 10 | 3 | (0.5) | 1 | (0.2) | ||
The median follow-up was 6.7 years (0.1–15.1 years); the median OS was 2.9 years (figure S2) and 3-year OS was 49.4% (95% CI 44.8–53.9%). T stage was significantly associated with OS (p=0.0238); age, histology, history of previous NSCLC, and method of diagnosis were not associated with OS (table S1). Involved lobe failure did not seem to impact OS (p=0.93). Patients with involved lobe failure lived a median of 3.2 years vs. 3.0 years for patients who did not have any failure or 2.9 years for patients with non-involved lobe failure (p=0.93). Patients with distant failure lived a shorter period of time (median 2.1 years vs. 3.0 years for no failure vs. 3.9 years for non-distant failure, p=0.0003; figure S3, table S2).
Progression-free survival at 1- and 3- years was 75.2% (95% CI 71.3–78.6%) and 37.2% (95% CI 33.0–41.4%), respectively. Involved lobe control at 3 years was 80.0% (95% CI 75.1–84.1%, figure S4) and in-field control at 3 years was 88.1% (95% CI 83.8–91.3%, figure S1). There was no significant difference in involved lobe or in-field control when comparing lesions diagnosed pathologically vs. clinically, when considering age, or when considering a previous diagnosis of NSCLC (table S3). T stage was associated with infield failure (p=0.0056), but not with involved lobe failure (p=0.0773). Prescription dose was associated with involved lobe and infield control (table S3).
Cancer recurrence at one or multiple sites was observed for 224 (39.9%) treated lesions (table S4). No failures were observed after SABR for 337 (60.1%) lesions. First failure (often at multiple sites, table S4) was in-field in 41 lesions (7.3%) and involved lobe in 73 lesions (13.0%). Other components of first failure were as follows: 50 (8.9%) in a different ipsilateral lobe, 63 (11.2%) in the contralateral lung, 62 (11.1%) in the regional nodes, and 72 (12.8%) at distant sites. Lesions that recurred in-field had a median time to in-field failure of 1.5 years. In-field failure was a first event for 4.8% of adenocarcinomas and 11.7% of squamous cell carcinomas.
Complete dosimetric information was available for a subset of 482 lesions. There was no difference between the study cohort and this dosimetric subset with respect to baseline characteristics (table 1). Involved lobe and in-field control of the dosimetric cohort at 3 years was 80.0% (95% CI 74.5–84.5%) and 88.4% (95% CI 83.6–91.9%), respectively (figure 1A,C).
Figure 1.
Involved lobe control for the dosimetric cohort (A) overall, (B) stratified by histology; in-field control for the dosimetric cohort (C) overall, (D) stratified by histology.
In this 482 lesion subset, GTV and histology were independently associated with involved lobe failure, while GTV and dose were independently associated with in-field failure (table 3, figure 1B). Separate multivariate analyses were performed that included GTV, T stage, and histology as covariates. Each multivariate analysis included only one of the dosimetric variables tested (i.e., one of prescription dose as a continuous variable, prescription dose as a categorical variable, and minimum, mean, or maximum dose to the GTV) because of strong correlations between the dosimetric variables. Prescription dose as either a continuous or categorical variable (cutoff of 110Gy17) was significantly associated with in-field failure. However, a cutoff of 105Gy5 was significant on univariate analysis (p=0.0117) but not on multivariate analysis (p=0.091). The other dosimetric variables analyzed (minimum, maximum, and mean dose to GTV) were all significantly associated with in-field failure (table 3).
Table 3.
Univariate and multivariate analysis for involved lobe and in-field failure in the dosimetric subset.
UVA: univariate analysis; MVA: multivariate analysis; HR: hazard ratio; CI: confidence interval; NSCLC: non-small cell lung cancer; GTV: gross tumor volume; adeno: adenocarcinoma; sqcc: squamous cell carcinoma.
Multivariate models were constructed with GTV, T stage, histology, and one dosimetric factor (prescription dose [continuous], prescription dose [2 categorical cutoffs], and minimum, mean, or maximum dose to the GTV). HR and p-value trends were similar for all MVAs performed, and only the HR, 95% CI, and p-value for the model including prescription dose as a continuous variable are listed.
The cutoff of 105 Gy was chosen based on data from Grills et al.
The cutoff of 110 Gy was chosen based on data from Stahl et al. This cutoff also divides the 4 most common fractionation schedules in the study cohort into 3-fraction schedules and 4- and 5-fraction schedules.
Dose was converted to biologically effective dose using an α/β of 10.
Within the subset with complete dosimetric information, 3-year in-field control was 89.6% (95% CI 80.9–94.5%), 85.0% (95% CI 75.6–91.0%), and 88.8% (95% CI 74.3–95.3%) for adenocarcinoma, squamous cell carcinoma, and other histologies, respectively (figure 1D). To understand if the association between in-field control and radiation dose was similar between histologies, subgroup analysis stratified by both histology (adenocarcinoma or squamous cell carcinoma) and prescription dose (cutoff of 110Gy as described above) was performed and findings suggested clinically meaningful differences in in-field control between these two histologies (p=0.001, figure 2A; also see figure S5 in subgroup with minimum dose 100Gy, p=0.0016). A nomogram was constructed taking into account GTV, dose, and histology to predict 3-year in-field control (figure S6A, AUC 0.79), provided by the following formula
Figure 2.
In-field control stratified by prescription dose (biologically effective dose, α/β=10, cutoff 110 Gy, no minimum limit) and (A) median gross tumor volume, or (B) adenocarcinomas vs squamous cell carcinomas.
where p is 3-year in-field control rate, α = −1.2542, β1 = −0.0237, β2 = 0.0259, and β3 = −0.4679. GTV volume is in cc, dose is prescription dose in BED10 Gy, and histology is 1 for squamous cell and 0 for adenocarcinoma. Calibration, validation, and internal validation values are summarized in figure S6B,C,D. A similar nomogram was built for involved lobe control (AUC 0.63).
Similar findings were noted in the entire 508 patient cohort, with 3-year in-field control of 91.0% (95% CI 83.4–95.2%), 85.6% (95% CI 77.0–91.1%), and 84.7% (95% CI 72.2–91.9%) for adenocarcinoma, squamous cell carcinoma, and other histologies, respectively (figure S7). Within the subset of patients prescribed 12Gy x4 or 10Gy x5, in-field control was higher for adenocarcinomas than for squamous cell carcinomas (HR 0.351, 95% CI 0.129–0.953, p=0.04), with 3-year in-field control of 88.9% and 78.5%, respectively (p=0.0317). However, within the subset of patients prescribed 18Gy or 20Gy x3, in-field control was not different between adenocarcinomas or squamous cell carcinomas (figure 3), suggesting the existence of a threshold dose between 105.6Gy and 151.2Gy (corresponding to 12Gy x4 and 18Gy x3) above which in-field control is independent of histology. These findings are further supported by propensity score matching analysis. When analyzed by histology (adenocarcinoma vs. squamous cell carcinoma), infield control did not differ by dose grouping (12Gy x4 or 10Gy x5 vs. 18Gy or 20Gy x3) for adenocarcinomas but was significantly worse for squamous cell carcinomas receiving 12Gy x4 or 10Gy x5 (HR 3.96, 95% CI 1.20–13.03, p=0.0238). When analyzed by the dose groupings, in-field control did not differ by histology for 18Gy or 20Gy x3 but was significantly worse for squamous cell carcinomas when treating to 12Gy x4 or 10Gy x5 (HR 2.80, 95% CI 1.03–7.60, p=0.043).
Figure 3.
In-field control for adenocarcinomas vs squamous cell carcinomas in the study cohort, stratified by (A) 4- and 5-fraction and (B) 3-fraction schedules, (C) 12 Gy x 4 and 10 Gy x 5 schedules and (D) 18 Gy or 20 Gy x 3 schedules.
Within the squamous cell carcinoma cohort, prescription dose was associated with worse in-field control when ≤110Gy than when >110Gy (HR=4.024, 95% CI 1.468–11.031, p=0.0068, also see figure 2A). Multivariate analysis for in-field control confirmed the importance of prescription dose independent of GTV. Lower prescription dose (cutoff 110Gy17; HR=3.621, 95% CI 1.288–10.181, p=0.0147) and increasing GTV (HR=1.014 per mL, 95% CI 1.005–1.022, p=0.0012) were both independently associated with worse in-field control. These results were similar when comparing outcomes after 10Gy x5 and 12Gy x4 vs. 18Gy or 20Gy x3 instead of using a cutoff of 110Gy (univariate HR=3.956, 95% CI 1.201–13.032, p=0.0238; multivariate including GTV HR=3.530, 95% CI 1.030–12.092, p=0.0447). Within the adenocarcinoma cohort, there were no differences in in-field control according to dose using the above radiation dose groupings (cutoff 110Gy, p=0.12; 10Gy x5 and 12Gy x4 vs. 18Gy or 20Gy x3, p=0.31).
Long-term survivors with documented follow-up >5 years comprised 19.9% (101/508) of our total study cohort. With respect to the analyzed patient, tumor, treatment, and dosimetric characteristics, long term survivors were treated with higher doses (minimum dose to GTV p=0.0004; mean dose to GTV p=0.0004; and maximum dose to GTV p=0.0003) as compared to the rest of the cohort. There was no difference in any of the other analyzed variables (notably GTV and histology, see table S5).
Discussion
This study cohort represents one of the largest series of NSCLC patients treated with SABR with one of the longest follow-ups. Our data suggests that radiation dose and GTV were independently associated with in-field failure and that histology and GTV were independently associated with involved lobe failure. Within the squamous cell carcinoma cohort, our data suggests that lower prescription dose was associated with increased in-field failure independent of GTV, a finding not observed in the adenocarcinoma cohort. To our knowledge, this is the first study to suggest a combined importance of GTV, radiation dose, and histology for local recurrence risk.
Several studies have examined the role of radiation dose in local control after SABR. Onishi et al. published a retrospective series in 2007 of stage I NSCLC patients treated with SABR and identified a cutoff of 100Gy prescription dose as associated with local failure.
In this series, radiation was prescribed to isocenter and 100Gy in this setting is more representative of a maximum dose to the GTV21. Grills et al. reported in 2012 on patients treated with SABR that identified prescription dose and maximum dimension of the GTV to be independently predictive for local failure. Receiver operating characteristic (ROC) analysis identified the optimal predictive prescription dose cutoff as 105Gy for local failure5. A similar publication also utilizing ROC analysis by Kestin et al. in 2014 identified prescription dose and mean dose to the PTV as most associated with local failure, with cutoffs of 105Gy and 125Gy, respectively15. In 2016, Guckenberger et al. reported on both patients treated for metastatic and primary NSCLC with SABR and identified that the dose to isocenter (i.e., maximum dose) to achieve 90% tumor control probability was 160Gy and 176Gy, respectively18. Zhao et al. reported in 2016 on 1092 patients with 1200 T1-T2N0M0 lesions treated with 12.5Gy x4 or 7Gy x10 fractions for those at higher risk of normal tissue toxicity. In this cohort, the 5-year in-field control rate was 93.8%, and ROC and competing risk multivariate analyses identified lower PTV D95 and larger GTV as independently associated with worse in-field and involved lobe control22. Stahl et al. reported in 2017 on 747 patients with 765 T1-T2N0M0 lung tumors treated with SABR and found that prescription dose cutoffs of both 105Gy and 110Gy were predictive for OS (and only 110Gy was predictive for local failure)17. Most recently, Stephans et al. reported that lesions treated with 3 fraction regimens (total dose 54Gy or 60Gy with or without heterogeneity corrections, respectively) had fewer local failures compared to lesions treated with 1, 4–5, or 8–10 fractions, at the cost of a possible crude increase in pulmonary and chest wall toxicity. It is important to note that this analysis did not account for differences in histology or tumor size/volume23.
Our study differs from the aforementioned analyses as it considers GTV, radiation dose, and histology in assessing local recurrence risk. In particular, partly based on previously discussed results, prescription dose cutoffs of 105Gy5 and 110Gy17 were assessed, and only a prescription dose cutoff of 110Gy was associated with in-field failure. Prescription dose is not truly a continuous variable in our series given that 78.1% of the cohort received one of the four most common fractionation schedules, and 110Gy separated the 10Gy x5 and 12Gy x4 from the 18Gy and 20Gy x3 regimens. However, continuous variable analysis of minimum, maximum, and mean dose to the GTV and of prescription dose were all independently associated in separate analyses, strongly suggesting that increasing radiation dose is associated with decreasing in-field failure, independent of GTV, T stage, and histology.
In addition, data on the role of histology has only recently been published. Woody et al. reported in 2017 on T1-T3N0M0 lung tumors treated with SABR and suggested that squamous histologic subtype was associated with local failure, with 3-year cumulative incidence of local failure of 18.9% vs. 4.1% in squamous cell and adenocarcinoma lesions, respectively24. Hörner-Rieber et al. reported in 2017 on a smaller cohort with biopsy-proven T1-T3N0M0 lung tumors treated with SABR and similarly found histologic subtype to be associated with local failure. In particular, 2-year local control for adenocarcinoma and squamous cell carcinoma was >96% and 81%, respectively. The most striking finding of this study was that patients with tumors treated to a total EQD2 dose to the PTV isocenter ≥150Gy did not exhibit a difference in control based on histology, suggesting that higher dose may potentially obviate the histological impact6. Similarly, in our study, higher failure rates in squamous cell carcinomas are seen with lower prescription doses (i.e. <110Gy), whereas such results were not observed for adenocarcinomas.
Furthermore, GTV has been reported previously in the context of dose but not histology. In particular, Modh et al. reported in 2014 on a single-institution series of 125 patients treated for both primary NSCLC (n=103) and metastatic lung tumors who received SABR for centrally located lesions and identified GTV (and not any of their dosimetric factors) as the sole factor associated with local failure30. Our study suggests the importance of GTV is independent of dose, histology, and T stage in assessing recurrence risk.
Three-year involved lobe and in-field control in our study were 80.0% and 88.1%, respectively, and are comparable to other published reports2,7,24, despite including 28.0% of patients treated in the setting of previously cured lung cancer. Similarly, 3-year PFS and OS were 37.2% and 49.4%, respectively, which was expected in a primarily medically inoperable patient population. The only factor associated with long-term survival beyond 5 years (19.9% of the cohort) was radiation dose (GTV minimum, mean, and maximum doses), emphasizing the importance of adequate dosing.
Limitations inherent in retrospective analyses also apply to our study. In particular, selection biases are difficult to control in the retrospective setting. Further, the execution of SABR in the Indiana University Health system evolved during the long 16-year timespan analyzed in this study. For dosimetric analysis, we attempted to control for lack of heterogeneity corrections by re-planning all treatment plans that did not use a recent version of the AAA algorithm. Plans that already had been planned with an older version of AAA using heterogeneity corrections were not modified. External validation is needed for the generated nomogram. The strengths of this study include the long follow-up period and, to our knowledge, being the first study to consider GTV, dose to the GTV, and histology collectively as important factors to consider when exploring risk of recurrence.
In conclusion, to our knowledge this study is the first to suggest that GTV, dose to the GTV, and histology are all important risk factors for local recurrence after SABR. In particular, our data suggest that GTV is independently associated with both involved lobe and in-field failure, independent of T stage. Furthermore, our data suggest that radiation dose is independently associated with in-field failure, and that histology is independently associated with involved lobe failure. Our findings also suggest that patients with squamous cell carcinoma have higher failure rates at prescription doses <110Gy independent of GTV and may need higher doses to achieve acceptable local control outcomes.
Our study is the third series reporting that local control for squamous cell carcinomas may be dependent on prescription dose or other dosimetric factors 6,24. Current guidelines present common SABR prescription doses as equal options without specific preferences; in the absence of clinical trials or additional data to guide management, our series provides retrospective evidence that prescription doses of ≥110Gy should be used, and lower prescription doses (i.e., 12Gy x4 or 10Gy x5) should be avoided for squamous cell carcinomas whenever safe. However, the optimal prescription dose remains to be determined and deserves study in a prospective trial.
Supplementary Material
Acknowledgments
Funding: The data analysis was performed by the Collaborative Core for Cancer Bioinformatics shared by IU Simon Cancer Center (Grant P30CA082709) and Purdue University Center for Cancer Research (Grant P30CA023168) with financial support from Walther Cancer Foundation.
Footnotes
Disclosures: None.
Declaration of Interests
KS, none; AC, none; RS, none; NE, none; EMM, none; CRD, none; SA, none; SL, none; JW, none; YZ, none; NA, none; PI, none; YL, none; CZ, none; CD, none; GB, none; ME, none; MPL, none; GW, none; RZ, none; FK, none; TL, none.
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Society AC. Cancer Facts & Figures 2017. Atlanta: 2017. [Google Scholar]
- 2.Timmerman R, Paulus R, Galvin J, et al. Stereotactic body radiation therapy for inoperable early stage lung cancer. JAMA. 2010;303(11):1070–1076. doi: 10.1001/jama.2010.261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kaskowitz L, Graham MV, Emami B, Halverson KJ, Rush C. Radiation therapy alone for stage I non-small cell lung cancer. International journal of radiation oncology, biology, physics. 1993;27(3):517–523. doi: 10.1016/0360-3016(93)90374-5. [DOI] [PubMed] [Google Scholar]
- 4.Fakiris AJ, McGarry RC, Yiannoutsos CT, et al. Stereotactic body radiation therapy for early-stage non-small-cell lung carcinoma: four-year results of a prospective phase II study. International journal of radiation oncology, biology, physics. 2009;75(3):677–682. doi: 10.1016/j.ijrobp.2008.11.042. [DOI] [PubMed] [Google Scholar]
- 5.Grills IS, Hope AJ, Guckenberger M, et al. A collaborative analysis of stereotactic lung radiotherapy outcomes for early-stage non-small-cell lung cancer using daily online cone-beam computed tomography image-guided radiotherapy. Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer. 2012;7(9):1382–1393. doi: 10.1097/JTO.0b013e318260e00d. [DOI] [PubMed] [Google Scholar]
- 6.Horner-Rieber J, Bernhardt D, Dern J, et al. Histology of non-small cell lung cancer predicts the response to stereotactic body radiotherapy. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2017 doi: 10.1016/j.radonc.2017.08.029. [DOI] [PubMed] [Google Scholar]
- 7.Senthi S, Lagerwaard FJ, Haasbeek CJ, Slotman BJ, Senan S. Patterns of disease recurrence after stereotactic ablative radiotherapy for early stage non-small-cell lung cancer: a retrospective analysis. The Lancet. Oncology. 2012;13(8):802–809. doi: 10.1016/S1470-2045(12)70242-5. [DOI] [PubMed] [Google Scholar]
- 8.Chang JY, Senan S, Paul MA, et al. Stereotactic ablative radiotherapy versus lobectomy for operable stage I non-small-cell lung cancer: a pooled analysis of two randomised trials. The Lancet. Oncology. 2015;16(6):630–637. doi: 10.1016/S1470-2045(15)70168-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Shimada Y, Saji H, Yoshida K, et al. Pathological vascular invasion and tumor differentiation predict cancer recurrence in stage IA non-small-cell lung cancer after complete surgical resection. Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer. 2012;7(8):1263–1270. doi: 10.1097/JTO.0b013e31825cca6e. [DOI] [PubMed] [Google Scholar]
- 10.Kelsey CR, Marks LB, Hollis D, et al. Local recurrence after surgery for early stage lung cancer: an 11-year experience with 975 patients. Cancer. 2009;115(22):5218–5227. doi: 10.1002/cncr.24625. [DOI] [PubMed] [Google Scholar]
- 11.Kamiya K, Hayashi Y, Douguchi J, et al. Histopathological features and prognostic significance of the micropapillary pattern in lung adenocarcinoma. Modern pathology: an official journal of the United States and Canadian Academy of Pathology, Inc. 2008;21(8):992–1001. doi: 10.1038/modpathol.2008.79. [DOI] [PubMed] [Google Scholar]
- 12.Tsao MS, Marguet S, Le Teuff G, et al. Subtype Classification of Lung Adenocarcinoma Predicts Benefit From Adjuvant Chemotherapy in Patients Undergoing Complete Resection. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2015;33(30):3439–3446. doi: 10.1200/JCO.2014.58.8335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ujiie H, Kadota K, Chaft JE, et al. Solid Predominant Histologic Subtype in Resected Stage I Lung Adenocarcinoma Is an Independent Predictor of Early, Extrathoracic, Multisite Recurrence and of Poor Postrecurrence Survival. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2015;33(26):2877–2884. doi: 10.1200/JCO.2015.60.9818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Warth A, Muley T, Meister M, et al. The novel histologic International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification system of lung adenocarcinoma is a stage-independent predictor of survival. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2012;30(13):1438–1446. doi: 10.1200/JCO.2011.37.2185. [DOI] [PubMed] [Google Scholar]
- 15.Kestin L, Grills I, Guckenberger M, et al. Dose-response relationship with clinical outcome for lung stereotactic body radiotherapy (SBRT) delivered via online image guidance. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2014;110(3):499–504. doi: 10.1016/j.radonc.2014.02.002. [DOI] [PubMed] [Google Scholar]
- 16.Onimaru R, Shirato H, Shibata T, et al. Phase I study of stereotactic body radiation therapy for peripheral T2N0M0 non-small cell lung cancer with PTV<100 cc using a continual reassessment method (JCOG0702) Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2015;116(2):276–280. doi: 10.1016/j.radonc.2015.07.008. [DOI] [PubMed] [Google Scholar]
- 17.Stahl JM, Ross R, Harder EM, et al. The Effect of Biologically Effective Dose and Radiation Treatment Schedule on Overall Survival in Stage I Non-Small Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy. International journal of radiation oncology, biology, physics. 2016;96(5):1011–1020. doi: 10.1016/j.ijrobp.2016.08.033. [DOI] [PubMed] [Google Scholar]
- 18.Guckenberger M, Klement RJ, Allgauer M, et al. Local tumor control probability modeling of primary and secondary lung tumors in stereotactic body radiotherapy. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2016;118(3):485–491. doi: 10.1016/j.radonc.2015.09.008. [DOI] [PubMed] [Google Scholar]
- 19.Koshy M, Malik R, Weichselbaum RR, Sher DJ. Increasing radiation therapy dose is associated with improved survival in patients undergoing stereotactic body radiation therapy for stage I non-small-cell lung cancer. International journal of radiation oncology, biology, physics. 2015;91(2):344–350. doi: 10.1016/j.ijrobp.2014.10.002. [DOI] [PubMed] [Google Scholar]
- 20.Liu F, Tai A, Lee P, et al. Tumor control probability modeling for stereotactic body radiation therapy of early-stage lung cancer using multiple bio-physical models. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2017;122(2):286–294. doi: 10.1016/j.radonc.2016.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Onishi H, Shirato H, Nagata Y, et al. Hypofractionated stereotactic radiotherapy (HypoFXSRT) for stage I non-small cell lung cancer: updated results of 257 patients in a Japanese multi-institutional study. Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer. 2007;2(7 Suppl 3):S94–100. doi: 10.1097/JTO.0b013e318074de34. [DOI] [PubMed] [Google Scholar]
- 22.Zhao L, Zhou S, Balter P, et al. Planning Target Volume D95 and Mean Dose Should Be Considered for Optimal Local Control for Stereotactic Ablative Radiation Therapy. International journal of radiation oncology, biology, physics. 2016;95(4):1226–1235. doi: 10.1016/j.ijrobp.2016.01.065. [DOI] [PubMed] [Google Scholar]
- 23.Stephans KLWN, Reddy CA, Varley M, Magnelli A, Zhuang T, Qi PVG. Tumor control and toxicity for common SBRT dose-fractionation regimens in Stage I NSCLC. International journal of radiation oncology, biology, physics. 2017 doi: 10.1016/j.ijrobp.2017.10.037. [DOI] [PubMed] [Google Scholar]
- 24.Woody NM, Stephans KL, Andrews M, et al. A Histologic Basis for the Efficacy of SBRT to the lung. Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer. 2017;12(3):510–519. doi: 10.1016/j.jtho.2016.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Huang K, Senthi S, Palma DA, et al. High-risk CT features for detection of local recurrence after stereotactic ablative radiotherapy for lung cancer. Radiotherapy and oncology: journal of the European Society for Therapeutic Radiology and Oncology. 2013;109(1):51–57. doi: 10.1016/j.radonc.2013.06.047. [DOI] [PubMed] [Google Scholar]
- 26.Takashima S, Sone S, Li F, Maruyama Y, Hasegawa M, Kadoya M. Indeterminate solitary pulmonary nodules revealed at population-based CT screening of the lung: using first follow-up diagnostic CT to differentiate benign and malignant lesions. AJR. American journal of roentgenology. 2003;180(5):1255–1263. doi: 10.2214/ajr.180.5.1801255. [DOI] [PubMed] [Google Scholar]
- 27.Takashima S, Sone S, Li F, et al. Small solitary pulmonary nodules (< or =1 cm) detected at population-based CT screening for lung cancer: Reliable high-resolution CT features of benign lesions. AJR. American journal of roentgenology. 2003;180(4):955–964. doi: 10.2214/ajr.180.4.1800955. [DOI] [PubMed] [Google Scholar]
- 28.Donington J, Ferguson M, Mazzone P, et al. American College of Chest Physicians and Society of Thoracic Surgeons consensus statement for evaluation and management for high-risk patients with stage I non-small cell lung cancer. Chest. 2012;142(6):1620–1635. doi: 10.1378/chest.12-0790. [DOI] [PubMed] [Google Scholar]
- 29.Akino Y, Das IJ, Cardenes HR, Desrosiers CM. Correlation between target volume and electron transport effects affecting heterogeneity corrections in stereotactic body radiotherapy for lung cancer. Journal of radiation research. 2014;55(4):754–760. doi: 10.1093/jrr/rrt231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Modh A, Rimner A, Williams E, et al. Local control and toxicity in a large cohort of central lung tumors treated with stereotactic body radiation therapy. International journal of radiation oncology, biology, physics. 2014;90(5):1168–1176. doi: 10.1016/j.ijrobp.2014.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.











