Consolidative thoracic radiotherapy after first-line chemoimmunotherapy in extensive-stage small-cell lung cancer: a multicenter retrospective study
Original Article

Consolidative thoracic radiotherapy after first-line chemoimmunotherapy in extensive-stage small-cell lung cancer: a multicenter retrospective study

Shengxin Zhang1#, Nan Lin1#, Xiaojuan Gu2#, Ziyang Cheng3, Xiang Lin4, Xiao Liang1, Xinggang Yang5, Jie Chen2, Xuelei Ma1, Hu Liao4 ORCID logo

1Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China; 2Department of Oncology, Second People’s Hospital of Yibin, Yibin, China; 3Department of Hematology, The Children’s Hospital of Soochow University, Suzhou, China; 4Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China; 5Department of Respiratory and Critical Care Medicine, Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China

Contributions: (I) Conception and design: S Zhang, N Lin, H Liao; (II) Administrative support: J Chen, H Liao; (III) Provision of study materials or patients: X Gu, Z Cheng, X Liang, X Yang; (IV) Collection and assembly of data: X Gu, Z Cheng, X Liang, X Yang; (V) Data analysis and interpretation: S Zhang, N Lin; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Prof. Hu Liao, MD, PhD. Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District Road, Chengdu 610041, China. Email: drliaohu@scu.edu.cn; Prof. Xuelei Ma, MD, PhD. Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu 610041, China. Email: maxuelei0726@wchscu.cn; drmaxuelei@gmail.com; Prof. Jie Chen, MD. Department of Oncology, The Second People’s Hospital of Yibin (West China Hospital Yibin Hospital, Sichuan University), No. 96 Beidajie Street, Cuiping District, Yibin 644000, China. Email: cjid119@qq.com.

Background: While consolidative thoracic radiotherapy (cTRT) is standard after chemotherapy for extensive-stage small-cell lung cancer (ES-SCLC), its role in the immunotherapy era remains unclear, and this study provides real-world evidence on its survival benefit and safety.

Methods: This multicenter, retrospective cohort study included patients diagnosed with ES-SCLC who underwent first-line chemoimmunotherapy from January 2019 to October 2024. Participants were stratified by receipt of cTRT. Overall survival (OS) was the primary endpoint; secondary endpoints included progression-free survival (PFS), thoracic relapse, extrathoracic relapse lesions, and treatment-related adverse events. Survival analyses were performed using a 3-month landmark cohort as the primary analytical approach, with propensity score matching and time-dependent Cox regression as sensitivity analyses, and robustness assessed by E-value.

Results: Among 171 patients (cTRT, n=91; non-cTRT, n=80; median follow-up 41.3 months), cTRT significantly improved median OS [13.4 vs. 9.9 months, adjusted hazard ratio (HR) 0.37, 95% confidence interval (CI): 0.15–0.91, P=0.03] and PFS (9.2 vs. 7.2 months, adjusted HR 0.22, 95% CI: 0.11–0.43, P<0.001). Intrathoracic recurrence was numerically lower with cTRT, and safety was manageable. Multivariable analysis identified cTRT, immunotherapy cycles, and the granulocyte-to-lymphocyte ratio (GLR) (nonlinear, inflection point 2.95) as independent prognostic factors. Exploratory cTRT subgroup analysis showed that a higher radiation dose improved PFS (HR 0.45, P=0.02) vs. the low-dose group, with sensitivity analyses [propensity score matching (PSM), time-dependent Cox, E-value] confirming the robustness of findings.

Conclusions: The survival benefit of cTRT established in the chemotherapy era is preserved in the immunotherapy era, with higher radiation doses potentially improving PFS and GLR emerging as a potential prognostic biomarker, warranting prospective validation.

Keywords: Extensive-stage small-cell lung cancer (ES-SCLC); consolidative thoracic radiotherapy (cTRT); chemoimmunotherapy


Submitted Jan 28, 2026. Accepted for publication Mar 24, 2026. Published online Apr 26, 2026.

doi: 10.21037/tlcr-2026-1-0126


Highlight box

Key findings

• Consolidative thoracic radiotherapy (cTRT) after first-line chemoimmunotherapy significantly improved overall survival (OS) [hazard ratio (HR) 0.37] and progression-free survival (PFS) (HR 0.22) in extensive-stage small-cell lung cancer (ES-SCLC).

• Higher-dose cTRT (≈60 Gy/30 fractions) was independently associated with better PFS vs. low-dose (≤30 Gy/10 fractions), with acceptable toxicity.

• Granulocyte-to-lymphocyte ratio (GLR) showed a nonlinear association with OS (inflection point 2.95), suggesting its potential as a prognostic biomarker.

What is known and what is new?

• cTRT improves outcomes in chemotherapy-treated ES-SCLC.

• This benefit is preserved in the immuno-oncology era; we provide granular dose-stratified toxicity data and identify GLR as a nonlinear prognostic factor in patients receiving chemoimmunotherapy.

What is the implication, and what should change now?

• The objective of this study was to assess whether the survival benefit of cTRT from the chemotherapy era is maintained in the immunotherapy era, and to explore the roles of radiotherapy dose and novel biomarkers. Our findings indicate that higher-dose (≈60 Gy/30 fractions) cTRT offers a favorable risk-benefit profile after first-line chemoimmunotherapy. Prospective trials are needed to define the optimal dose and sequencing.


Introduction

Extensive-stage small-cell lung cancer (ES-SCLC) is an aggressive malignancy with a historically poor prognosis. For decades, the standard first-line therapy was platinum-etoposide chemotherapy, yielding a median overall survival (mOS) of only 9–10 months (1-3). The integration of immune checkpoint inhibitors (ICIs) has fundamentally shifted this paradigm. Phase III trials such as IMpower133 (atezolizumab) and CASPIAN (durvalumab) established chemoimmunotherapy as the new global standard, with more recent trials like ASTRUM-005 pushing mOS to approximately 15 months (4-7).

Despite these advances, most patients progress within the first year, with the thorax being a predominant site of failure (6,8). While the survival benefit of consolidative thoracic radiotherapy (cTRT) in ES-SCLC is well-established in the chemotherapy-only era, which was demonstrated by the Jeremić trial and the pivotal phase III CREST trial (9,10), the treatment landscape has fundamentally shifted with the adoption of first-line chemotherapy combined with immunotherapy as the new global standard (4-7). The key point is that pivotal trials (such as IMpower133 and CASPIAN) establishing this new paradigm did not systematically incorporate cTRT (4,5). Consequently, as noted in the National Comprehensive Cancer Network (NCCN) Guidelines (Version 2, 2026), there is limited data on the optimal sequence, dosage, and safety of cTRT in patients who have undergone immunotherapy (11). The complex biological interactions between radiotherapy and ICIs, particularly regarding toxicities such as radiation pneumonitis, remain unclear. Consequently, the optimal role of cTRT in the era of immunotherapy remains undefined, and evidence from previous eras cannot be simply extrapolated. While small-scale studies show promise, questions persist about which patient subgroups benefit the most and how to balance efficacy with toxicity (12,13). This retrospective study therefore aims to evaluate the real-world efficacy and safety of cTRT in patients with ES-SCLC after initial chemotherapy combined with immunotherapy. Our findings seek to address these critical gaps and provide a reference for the design of future prospective trials. We present this article in accordance with the STROBE reporting checklist (available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2026-1-0126/rc).


Methods

Study design

A retrospective, multicenter cohort analysis was conducted from West China Hospital of Sichuan University and Second People’s Hospital of Yibin. This study was conducted in accordance with the Declaration of Helsinki and its subsequent amendments. The study was approved by the Biomedical Ethics Committee of West China Hospital, Sichuan University (No. 2025-427) and the Institutional Review Board of the Second People’s Hospital of Yibin (No. 2022-173-01). Individual consent for this retrospective analysis was waived.

Patient selection

Eligibility was assessed in consecutive, treatment-naïve patients with a histological diagnosis of ES-SCLC according to the Veterans Administration (VA) Lung Study Group’s two-stage system, with staging further classified by the American Joint Committee on Cancer (AJCC) 8th edition. All patients had commenced first-line platinum-etoposide chemotherapy combined with an ICI at either West China Hospital (Jan 2019–Oct 2024) or the Second People’s Hospital of Yibin (Apr 2020–Aug 2024). To be included, patients must have been aged ≥18 years, received ≥2 cycles of induction therapy, attained disease control [complete response (CR), partial response (PR), or stable disease (SD)] by Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 criteria, and had ≥1 baseline measurable lesion.

The following patients were excluded from the analysis: those with limited-stage or mixed-type SCLC; those who did not undergo the specified first-line chemoimmunotherapy or who progressed within the first two induction cycles; individuals with a history of other active malignancies (within 5 years) or a concurrent primary tumor; and those with incomplete baseline data or who were lost to follow-up within 3 months of treatment initiation. To minimize potential biases inherent in retrospective studies, we applied additional exclusion criteria based on methodological considerations. First, to eliminate immortal time bias and align with the landmark analysis framework, we excluded patients who died within 3 months after first-line chemoimmunotherapy initiation (the post-chemoimmunotherapy landmark cohort). This ensures that all included patients had an equal opportunity to receive cTRT and constitutes the primary analytical cohort for comparing cTRT vs. non-cTRT. Secondly, as a sensitivity analysis to assess the long-term benefits of cTRT in patients, we excluded patients who died within 2 months after initiating cTRT (post-treatment conditional analysis). Unlike the main post-chemoimmunotherapy analysis, it evaluates the efficacy of cTRT in patients who survived the early stages after radiotherapy, and supplements the main analysis by confirming that the observed survival benefits extend to patients with sufficient follow-up time. Third, to ensure timely administration of prophylactic cranial irradiation (PCI) consistent with clinical trial standards, we excluded patients with an interval >6 months between first-line chemoimmunotherapy initiation and PCI initiation.

Treatment exposure

Immunotherapy regimens were primarily based on programmed death-ligand 1 (PD-L1) inhibitors (atezolizumab 1,200 mg, durvalumab 1,500 mg, or adebrelimab 20 mg/kg) or the programmed death-1 (PD-1) inhibitor serplulimab (4.5 mg/kg). Other agents were used in a small number of cases contingent on drug access or clinical considerations. Patients demonstrating a response (CR or PR) or SD after induction chemoimmunotherapy were eligible for maintenance immunotherapy. This was administered at 3-week intervals until either disease progression or intolerable adverse events occurred.

cTRT was initiated following recovery from treatment-related toxicities, with timing varying relative to chemotherapy cycles based on individualized assessment. Radiotherapy techniques included intensity-modulated radiotherapy (IMRT), image-guided radiotherapy (IGRT), volumetric modulated arc therapy (VMAT), and stereotactic body radiotherapy (SBRT), mostly with IGRT; PCI, when administered, was typically delivered using three-dimensional conformal radiotherapy (3D-CRT). cTRT doses were individualized and adapted to patient-specific risk profiles, ranging from conventional fractionation to escalated regimens. Immunotherapy was suspended during radiotherapy and resumed one month later, pending confirmation of pulmonary safety. Baseline laboratory values (including complete blood count, biochemistry panels, etc) were defined as the most recent measurements obtained within the 2 weeks prior to treatment initiation.

Outcomes and assessments

The primary outcome was overall survival (OS), measured from the start of therapy until either death or the final assessment. Key secondary outcomes encompassed progression-free survival (PFS), defined as the duration until disease progression or death, along with the rate of thoracic relapse. Disease assessments followed RECIST v1.1 via serial imaging. Assessment frequency was every 6 weeks during induction, quarterly for 2 years, and biannually thereafter. Adverse events were classified using Common Terminology Criteria for Adverse Events (CTCAE) version 5.0.

Statistical analysis

All statistical analyses were performed using R software (version 4.5.2). Categorical variables and continuous variables that were categorized for analysis are presented as frequencies and percentages. Comparisons for these variables were performed using the Chi-squared test and Fisher’s exact test. To address the immortal time bias, we defined a primary landmark cohort by excluding patients who died within 3 months after first-line chemoradiotherapy, ensuring that all patients have an equal opportunity to receive cTRT. At the same time, we conducted a secondary post-treatment conditional analysis by excluding patients who died within 2 months after cTRT initiation to evaluate the long-term benefits of treatment tolerant individuals. Both OS and PFS were analyzed using the Kaplan-Meier method, and survival curves were compared with the log-rank test. Median follow-up was calculated with the inverse Kaplan-Meier method and survival distributions were estimated using the Kaplan-Meier method. Missing data were minimal (<5%) and handled by complete-case analysis; for propensity score matching (PSM), patients with missing covariates were excluded. Loss to follow-up was addressed by censoring at last contact. A two-step Cox regression approach was used: significant variables (P<0.05) from the univariable analysis were subsequently included in a multivariable model. To reduce selection bias, we performed 1:1 nearest-neighbor PSM (caliper 0.2) on key covariates, after which multivariable Cox regression was repeated. Time-dependent Cox regression (cTRT as a time-varying covariate) was conducted for OS to account for timing of treatment administration. To evaluate sensitivity to unmeasured confounding, an E-value analysis was applied (14). We tested for heterogeneous treatment effects via subgroup interaction analyses. Statistical significance was established using a two-sided threshold of P<0.05.


Results

Cohort characteristics

From January 2019 to December 2024, 838 consecutive patients with ES-SCLC from two medical centers in Southwest China (West China Hospital of Sichuan University and the Second People’s Hospital of Yibin) were initially screened. After applying the exclusion criteria outlined in Figure 1, including the exclusion of patients who died within 3 months after first-line chemoimmunotherapy initiation (the 3-month landmark analysis), a final cohort of 171 patients was formed for analysis, including 80 patients in the non-cTRT group and 91 patients in the cTRT group. Baseline characteristics were generally well-balanced between the two groups (Table 1). While some numerical differences were observed, most notably a higher proportion of M1 disease in the non-cTRT group (78.8% vs. 65.9%, P=0.09) and a trend toward more liver metastases (31.2% vs. 22.0%, P=0.23), the overall distribution of key prognostic factors was comparable. PCI use was 3.8% in the non-cTRT group vs. 9.9% in the cTRT group (P=0.21).

Figure 1 Patient selection flowchart. cTRT, consolidative thoracic radiotherapy; LS/M-SCLC, limited stage/mixed type small-cell lung cancer.

Table 1

Clinical characteristics of ES-SCLC patients treated with or without cTRT

Variable Total (n=171) Non-cTRT (n=80) cTRT (n=91) P value
Sex
   Male 154 (90.1) 70 (87.5) 84 (92.3) 0.43
   Female 17 (9.9) 10 (12.5) 7 (7.7)
Age (years) 65.19±8.32 66.03±8.54 64.46±8.09 0.31
BMI (kg/m2) 23.28±3.41 23.20±3.67 23.35±3.18 0.78
Smoking
   No smoking 43 (25.1) 22 (27.5) 21 (23.1) 0.63
   Smoking 128 (74.9) 58 (72.5) 70 (76.9)
Drinking
   No drinking 84 (49.1) 42 (52.5) 42 (46.2) 0.50
   Drinking 87 (50.9) 38 (47.5) 49 (53.8)
Family history
   No family history 162 (94.7) 76 (95.0) 86 (94.5) >0.99
   Family history 9 (5.3) 4 (5.0) 5 (5.5)
T stage
   T1–T2 38 (22.2) 16 (20.0) 22 (24.2) 0.64
   T3–T4 133 (77.8) 64 (80.0) 69 (75.8)
N stage
   N1–N2 77 (45.0) 33 (41.2) 44 (48.4) 0.44
   N3–N4 94 (55.0) 47 (58.8) 47 (51.6)
M stage
   M0 48 (28.1) 17 (21.2) 31 (34.1) 0.09
   M1 123 (71.9) 63 (78.8) 60 (65.9)
ECOG PS score
   0–1 160 (93.6) 75 (93.8) 85 (93.4) >0.99
   ≥2 11 (6.4) 5 (6.2) 6 (6.6)
Response*
   PR/CR 148 (86.5) 71 (88.8) 77 (84.6) 0.57
   SD 23 (13.5) 9 (11.2) 14 (15.4)
Liver metastasis
   No liver metastasis 126 (73.7) 55 (68.8) 71 (78.0) 0.23
   Liver metastasis 45 (26.3) 25 (31.2) 20 (22.0)
Brain metastasis
   No brain metastasis 142 (83.0) 65 (81.2) 77 (84.6) 0.70
   Brain metastasis 29 (17.0) 15 (18.8) 14 (15.4)
Bone metastasis
   No bone metastasis 130 (76.0) 60 (75.0) 70 (76.9) 0.91
   Bone metastasis 41 (24.0) 20 (25.0) 21 (23.1)
Metastatic number
   ≤1 53 (31.0) 21 (26.2) 32 (35.2) 0.28
   >1 118 (69.0) 59 (73.8) 59 (64.8)
AJCC stage
   III 47 (28.1) 17 (21.2) 30 (34.5) 0.08
   IV 120 (71.9) 63 (78.8) 57 (65.5)
PCI
   Non-PCI 159 (93.0) 77 (96.2) 82 (90.1) 0.21
   PCI 12 (7.0) 3 (3.8) 9 (9.9)
Immunoagent type
   Atezolizumab 50 (31.4) 25 (31.2) 25 (31.6) 0.77
   Serplulimab 46 (28.9) 25 (31.2) 21 (26.6)
   Durvalumab 43 (27.0) 19 (23.8) 24 (30.4)
   Adebrelimab 20 (12.6) 11 (13.8) 9 (11.4)
Immunotherapy maintenance
   No immunomaintenance 77 (45.0) 41 (51.2) 36 (39.6) 0.17
   Immunomaintenance 94 (55.0) 39 (48.8) 55 (60.4)
Thoracic relapse
   No thoracic relapse 117 (73.6) 46 (65.7) 71 (79.8) 0.07
   Thoracic relapse 42 (26.4) 24 (34.3) 18 (20.2)
Radiotherapy dose
   Palliative/low-dose (≤30 Gy/≤10 f) 35 (38.5) 0 (0.0) 35 (38.5) >0.99
   Moderate-dose definitive (~45–50 Gy) 20 (22.0) 0 (0.0) 20 (22.0)
   Standard-dose definitive (~60 Gy/30 f) 24 (26.4) 0 (0.0) 24 (26.4)
   High-dose definitive (≥66 Gy) 3 (3.3) 0 (0.0) 3 (3.3)
   Individualized/other 9 (9.9) 0 (0.0) 9 (9.9)
Radiotherapy technique
   VMAT 4 (4.4) 0 (0.0) 4 (4.4) >0.99
   VMAT + IGRT 24 (26.4) 0 (0.0) 24 (26.4)
   IMRT 34 (37.4) 0 (0.0) 34 (37.4)
   IMRT + IGRT 15 (16.5) 0 (0.0) 15 (16.5)
   SBRT 1 (1.1) 0 (0.0) 1 (1.1)
   Not reported 13 (14.3) 0 (0.0) 13 (14.3)
cTRT initial cycle
   cTRT initial cycle ≤4 cycles 64 (73.6) 0 (0.0) 64 (73.6) >0.99
   cTRT initial cycle >4 cycles 23 (26.4) 0 (0.0) 23 (26.4)
Immunotherapy cycles 5.47±3.23 5.22±3.01 5.70±3.42 0.43
Immunomaintenance cycles 4.96±3.47 4.86±3.46 5.02±3.51 0.96
Chemotherapy cycles 4.39±1.39 4.31±1.24 4.45±1.52 0.55
LDH, U/L 319.42±435.19 378.67±587.81 254.12±112.44 0.85
GLR 3.68±2.87 3.12±1.54 4.09±3.52 0.054
NLR 3.24±1.85 3.12±2.20 3.36±1.40 0.08

Data are presented as n (%) or mean ± standard deviation. *, response after induction chemoimmunotherapy. ~, approximately (used to indicate a typical dose range in clinical practice). AJCC, American Joint Committee on Cancer; BMI, body mass index; CR, complete response; cTRT, consolidative thoracic radiotherapy; ECOG PS, Eastern Cooperative Oncology Group performance status; ES-SCLC, extensive-stage small-cell lung cancer; f, fractions; GLR, granulocyte-to-lymphocyte ratio; Gy, Gray; Gy/f, Gray per fraction; IMRT, intensity-modulated radiotherapy; IMRT + IGRT, intensity-modulated radiotherapy with image-guided radiotherapy; LDH, lactate dehydrogenase; M, metastasis; N, node; NLR, neutrophil-to-lymphocyte ratio; PCI, prophylactic cranial irradiation; PR, partial response; SBRT, stereotactic body radiotherapy; SD, stable disease; T, tumor; VMAT, volumetric modulated arc therapy; VMAT + IGRT, volumetric modulated arc therapy with image-guided radiotherapy.

Survival analysis

The median follow-up time for the cohort was estimated to be 41.3 months [95% confidence interval (CI): 35.2–52.8]. At the final analysis (December 1, 2025), the overall cohort comprised 171 patients (80 non-cTRT, 91 cTRT). A total of 96 deaths (56.1%) and 139 progressive disease (PD) events (81.3%) were observed. The non-cTRT group experienced 37 deaths and 70 PD events, while the cTRT group had 59 deaths and 69 PD events. The median OS for the entire cohort was 12.3 months (95% CI: 11.1–13.7). In the cTRT group, median OS reached 13.4 months (95% CI: 12.6–15.6), demonstrating a significant improvement compared with the median OS of 9.9 months (95% CI: 7.6–13.3) observed in the non-cTRT group (log-rank P<0.001). The adjusted hazard ratio (HR) with 95% CI was 0.37 (95% CI: 0.15–0.91, P=0.03). The corresponding 1- and 2-year OS rates were 65.5% (95% CI: 54.0–79.3%) and 12.7% (95% CI: 6.4–25.4%) in the cTRT group vs. 37.5% (95% CI: 25.1–55.9%) and not reached in the non-cTRT group, respectively. The addition of cTRT was also associated with a significant improvement in PFS (adjusted HR: 0.22, 95% CI: 0.11–0.43; P<0.001), evidenced by a median PFS of 9.2 months (cTRT) vs. 7.2 months (non-cTRT). The corresponding survival curves are shown in Figure 2. Detailed univariable and multivariable analyses for both OS and PFS are provided in Table 2.

Figure 2 Kaplan-Meier survival analysis (pre-PSM and post-PSM). (A) OS (pre-PSM). (B) PFS (pre-PSM). (C) OS (post-PSM). (D) PFS (post-PSM). CI, confidence interval; cTRT, consolidative thoracic radiotherapy; HR, hazard ratio; OS, overall survival; PFS, progression-free survival; PSM, propensity score matching.

Table 2

Univariate and multivariate analyses of prognostic factor of OS and PFS on the main cohort (based on the 3-month post-chemoimmunotherapy landmark analysis)

Outcome Variables Comparison Univariate analyses Multivariate analyses
HR (95% CI) P value HR (95% CI) P value
OS Before PSM
   cTRT cTRT vs. no-cTRT 0.46 (0.3–0.72) <0.001 0.37 (0.15–0.91) 0.03
   Immunotherapy cycles Immunotherapy cycles (per cycle increase) 0.9 (0.84–0.97) 0.003 0.86 (0.75–0.99) 0.04
   Immunomaintenance cycles Immunomaintenance cycles (per cycle increase) 0.84 (0.74–0.94) 0.004 0.92 (0.78–1.08) 0.29
   T T3–T4 vs. T1–T2 1.93 (1.17–3.17) 0.01 3.30 (1.01–10.78) 0.048
   M M1 vs. M0 1.57 (1–2.44) 0.048 0.57 (0.22–1.45) 0.24
   ECOG PS ≥2 vs. 0–1 2.24 (1.07–4.68) 0.03 3.96 (0.36–42.94) 0.26
   Liver metastasis Liver metastasis vs. no liver metastasis 1.94 (1.22–3.08) 0.005 1.52 (0.51–4.57) 0.45
After PSM
   cTRT cTRT vs. no-cTRT 0.39 (0.23–0.64) <0.001 0.30 (0.11–0.84) 0.02
   Immunotherapy cycles Immunotherapy cycles (per cycle increase) 0.88 (0.81–0.95) 0.002 0.87 (0.66–1.13) 0.29
   Immunomaintenance cycles Immunomaintenance cycles (per cycle increase) 0.84 (0.73–0.98) 0.03 0.95 (0.68–1.32) 0.76
   T T3–T4 vs. T1–T2 1.93 (1.07–3.51) 0.03 2.26 (0.62–8.22) 0.22
   ECOG PS ≥2 vs. 0–1 2.45 (1.04–5.79) 0.04 5.94 (0.51–69.51) 0.16
   Liver metastasis Liver metastasis vs. no liver metastasis 1.77 (1.05–2.98) 0.03 1.76 (0.55–5.66) 0.34
   Brain metastasis Brain metastasis vs. no brain metastasis 2.71 (1.3–5.66) 0.008 3.71 (1.06–13.03) 0.04
PFS Before PSM
   cTRT cTRT vs. no-cTRT 0.64 (0.46–0.89) 0.009 0.22 (0.11–0.43) <0.001
   Immunotherapy cycles Immunotherapy cycles (per cycle increase) 0.93 (0.87–0.99) 0.02 0.96 (0.87–1.06) 0.46
   Immunomaintenance cycles Immunomaintenance cycles (per cycle increase) 0.9 (0.83–0.98) 0.01 0.85 (0.77–0.95) 0.003
   Immunotherapeutic agents Serplulimab vs. atezolizumab 0.53 (0.34–0.83) 0.005 0.32 (0.15–0.70) 0.004
   Immunotherapeutic agents Durvalumab vs. atezolizumab 0.56 (0.35–0.9) 0.02 0.17 (0.07–0.41) <0.001
   Immunotherapeutic agents Adebrelimab vs. atezolizumab 0.47 (0.26–0.84) 0.01 0.10 (0.04–0.27) <0.001
After PSM
   cTRT cTRT vs. no-cTRT 0.51 (0.34–0.76) 0.001 0.51 (0.34–0.77) 0.001
   Bone metastasis Bone metastasis vs. no bone metastasis 2 (1.26–3.2) 0.004 2.01 (1.24–3.26) 0.005
   Immunotherapeutic agents Serplulimab vs. atezolizumab 0.56 (0.34–0.91) 0.02 0.60 (0.36–1.00) 0.052
   Immunotherapeutic agents Durvalumab vs. atezolizumab 0.54 (0.31–0.92) 0.02 0.56 (0.33–0.98) 0.04
   Immunotherapeutic agents Adebrelimab vs. atezolizumab 0.39 (0.2–0.76) 0.006 0.33 (0.17–0.66) 0.002
   Immunomaintenance Immunomaintenance vs. no immunomaintenance 0.67 (0.46–0.99) 0.046 0.76 (0.51–1.12) 0.17

Only factors with P<0.05 in univariate analysis are shown. Multivariate models included all significant univariate predictors. CI, confidence interval; cTRT, consolidative thoracic radiotherapy; ECOG PS, Eastern Cooperative Oncology Group performance status; HR, hazard ratio; M, metastasis; OS, overall survival; PFS, progression-free survival; PSM, propensity score matching; T, tumor.

Independent prognostic factors

The multivariate Cox regression analysis identified multiple independent prognostic factors for OS and PFS in the primary cohort (based on the 3-month post-chemoimmunotherapy landmark analysis), as detailed in Table 2. For OS, cTRT (HR 0.37, 95% CI: 0.15–0.91, P=0.03) and an increased number of immunotherapy cycles (HR per cycle 0.86, 95% CI: 0.75–0.99, P=0.04) were independently associated with improved survival, while advanced T stage (T3–4 vs. T1–2, HR 3.30, 95% CI: 1.01–10.78, P=0.048) remained a significant negative prognostic factor after adjustment. After PSM, cTRT remained significantly associated with OS (HR 0.30, 95% CI: 0.11–0.84, P=0.02), while brain metastasis emerged as an independent adverse prognostic factor (HR 3.71, 95% CI: 1.06–13.03, P=0.04).

For PFS, cTRT showed strong independent protective effects before PSM (HR 0.22, 95% CI: 0.11–0.43, P<0.001) and after PSM (HR 0.51, 95% CI: 0.34–0.77, P=0.001). The number of immunomaintenance therapy cycles (HR 0.85, 95% CI: 0.77–0.95, P=0.003) and multiple immune therapy drugs (such as serplulimab, durvalumab, and adebrelimab vs. atezolizumab) were also independently associated with PFS improvement. Bone metastasis was identified as an independent risk factor for PFS after matching (HR 2.01, 95% CI: 1.24–3.26, P=0.005).

Additionally, we employed restricted cubic spline (RCS) regression to explore the potential nonlinear relationship between continuous variables and survival outcomes. In the Pre-PSM cohort, granulocyte-to-lymphocyte ratio (GLR) demonstrated a significant nonlinear association with OS (nonlinear P=0.007; overall P=0.02), with an estimated turning point of approximately 2.95 (Figure S1), indicating that GLR exerted a protective effect when above 2.95 and a risk effect when below this threshold. For PFS, no significant overall or nonlinear association was observed. After PSM, the nonlinear relationship between GLR and OS weakened (nonlinear P=0.06; overall P=0.12), while PFS remained nonsignificant (Figure S2). These findings suggest that the observed nonlinear association may be partially influenced by baseline confounding factors. Detailed RCS results for other continuous variables are provided in the Supplementary Data Set (available online: https://cdn.amegroups.cn/static/public/tlcr-2026-1-0126-1.pdf).

Exploratory subgroup analyses

Exploratory subgroup analyses for OS and PFS are presented in Figure 3 and Table S1 respectively. The survival benefit of cTRT was consistently observed across most predefined subgroups. Notably, liver metastasis and drinking status significantly influenced PFS efficacy (P for interaction <0.05), while the number of chemotherapy cycles significantly influenced OS efficacy (P for interaction =0.042), suggesting these factors may serve as important basis for treatment stratification. Specifically, cTRT demonstrated greater efficacy in patients without liver metastasis, those who did not drink, and those who received ≤4 cycles of chemotherapy.

Figure 3 Subgroup analysis and interaction analyses on OS. AJCC, American Joint Committee on Cancer; BMI, body mass index; CI, confidence interval; CR, complete response; cTRT, consolidative thoracic radiotherapy; HR, hazard ratio; M, metastasis; N, node; OS, overall survival; PR, partial response; PS, performance status; SD, stable disease; T, tumor; y, years old.

Of note, we further explored the association of radiotherapy parameters with survival outcomes. Within the cTRT cohort, univariate analysis showed that standard-dose definitive radiotherapy (~60 Gy/30 f) was associated with improved OS (median 17.6 vs. 11.3 months; HR 0.48, 95% CI: 0.24–0.95, P=0.03) and PFS (median 14.4 vs. 8.4 months; HR 0.43, 95% CI: 0.23–0.81, P=0.009) compared to lower-dose regimens (≤30 Gy/≤10 f). After multivariable adjustment, the PFS benefit remained independent (HR 0.45, 95% CI: 0.22–0.89, P=0.02), while the OS effect was no longer significant. In terms of safety, higher radiation doses are associated with higher incidence of radiation-related pneumonia and esophagitis. Specifically, the standard-dose definitive group showed higher toxicity (pneumonitis: 16.7% grade I/II, 8.3% grade III/IV; esophagitis: 20.8% grade I/II, 4.2% grade III/IV) compared to the palliative/low-dose (≤30 Gy/≤10 f) group, which had minimal toxicity (pneumonitis: 2.9% grade I/II, 2.9% grade III/IV; esophagitis: 5.7% grade I/II, no grade III/IV). Detailed toxicity data for different dose groups and fractionation schemes can be found in Tables S2,S3.

Sensitivity analysis

To address potential immortal time bias, selection bias, and unmeasured confounding factors, we conducted a series of preset sensitivity analyses, including landmark analysis, time-dependent Cox regression analyses, PSM, and E-value analysis. During PSM, 45 patients were excluded due to missing key covariates or lack of suitable matches, reducing the analytical sample from 171 to 126 patients (63 per group).

In the primary 3-month post-chemoimmunotherapy landmark analysis, cTRT was significantly associated with OS improvement in all models: original multivariate Cox (HR 0.37, 95% CI: 0.15–0.91, P=0.03), post-PSM multivariate Cox (HR 0.30, 95% CI: 0.11–0.84, P=0.02), and time-dependent Cox (HR 0.26, 95% CI: 0.09–0.73, P=0.01) (Table 3). In the secondary post-cTRT landmark analysis, cTRT also demonstrated consistent survival benefits: original multivariate Cox (HR 0.36, 95% CI: 0.14–0.90, P=0.03), post-PSM (HR 0.26, 95% CI: 0.09–0.75, P=0.01), and time-dependent Cox (HR 0.24, 95% CI: 0.07–0.77, P=0.02). The E-values for all significant associations on OS ranged from 4.85 to 7.80 (Table 3), indicating that the observed treatment effects are highly robust to potential unmeasured confounding.

Table 3

Sensitivity analysis on OS based on different landmarks, time-dependent Cox, and E-value analysis

Landmark analysis Multivariable Cox analysis HR (95% CI) for OS P value E-value
Post-chemoimmunotherapy landmark Original multivariable Cox (pre-PSM) 0.37 (0.15–0.91) 0.03 4.85
Post-PSM multivariable Cox 0.30 (0.11–0.84) 0.02 6.12
Time-dependent Cox 0.26 (0.09–0.73) 0.01 7.16
Post-cTRT landmark Original multivariable Cox (pre-PSM) 0.36 (0.14–0.90) 0.03 5.00
Post-PSM multivariable Cox 0.26 (0.09–0.75) 0.01 7.15
Time-dependent Cox 0.24 (0.07–0.77) 0.02 7.80

This table presents the results of sensitivity analyses assessing the robustness of the association between cTRT and OS. Three complementary approaches were used: (I) landmark analyses (post-chemoimmunotherapy and post-cTRT) with multivariable Cox models before and after PSM; (II) time-dependent Cox regression treating cTRT as a time-varying covariate; and (III) E-value analysis to quantify the minimum strength of association an unmeasured confounder would need to have with both treatment and outcome to explain away the observed effect. Larger E-values indicate greater robustness to unmeasured confounding. CI, confidence interval; cTRT, consolidative thoracic radiotherapy; HR, hazard ratio; OS, overall survival; PSM, propensity score matching.

Parallel findings were observed for PFS. In the primary landmark cohort, cTRT remained independently associated with improved PFS in both multivariable Cox (HR 0.22, 95% CI: 0.11–0.43, P<0.001) and post-PSM analyses (HR 0.51, 95% CI: 0.34–0.77, P=0.001) (Table 2). Similarly, in the post-cTRT landmark cohort, cTRT significantly improved PFS in all models (multivariable Cox: HR 0.20, 95% CI: 0.10–0.40, P<0.001; post-PSM: HR 0.22, 95% CI: 0.10–0.47, P<0.001) (Table S4 and Figure S1). Detailed univariate and multivariate analyses for the post-cTRT landmark cohort, including PSM adjustment, are provided in Table S4. Collectively, these sensitivity analyses confirm that the survival advantage associated with cTRT is not driven by immortal time bias, selection bias, or unmeasured confounding.

Disease progression patterns

Analysis of the first site of disease progression after first-line chemoimmunotherapy showed comparable objective response rates between the cTRT (84.6%) and non-cTRT (88.8%) groups. Patients who received cTRT had a numerically lower incidence of thoracic relapse as the first site of progression (20.2% vs. 34.3%). Distant metastasis remained the predominant pattern of treatment failure, with no significant difference in the overall distribution of initial distant relapse sites. Among patients with documented relapse, brain relapse was the most common first distant site in both cohorts, followed by liver metastasis. At data cutoff, 27.4% of cTRT patients and 17.9% of non-cTRT patients remained event-free or were lost to follow-up (Table S5).

Adverse events

The spectrum and severity of treatment-related adverse events are detailed in Table 4. The overall safety profile of the chemoimmunotherapy regimen, with or without cTRT, was manageable. Hematological toxicity was the most common adverse effect. In cTRT and non-cTRT groups, anemia occurred in 35.2% vs. 36.3%, with grade III/IV events in 2.2% vs. 3.8%. Decreased white blood cell count occurred in 40.7% vs. 37.4%, with Grade III/IV events in 6.6% vs. 11.2%. Neutropenia occurred in 40.7% vs. 26.2%. Thrombocytopenia occurred in 16.5% vs. 27.5%. Radiotherapy-specific toxicities, including radiation pneumonitis and esophagitis, were confined to the cTRT arm and were predominantly low-grade. For non-radiation toxicities, Grade I–II events like abnormal liver function and pulmonary infection were numerically more frequent in the cTRT group, whereas abnormal coagulation showed the opposite trend. Regarding immune-related adverse events (irAEs), most low-grade toxicities such as pneumonitis, thyroiditis, and rash were observed more frequently in the cTRT group. Grade III–IV irAEs were generally uncommon in both arms.

Table 4

Treatment-related adverse events

Variables Total (n=171) Non-cTRT (n=80) cTRT (n=91)
Anemia
   No 110 (64.3) 51 (63.7) 59 (64.8)
   Grade I/II 56 (32.7) 26 (32.5) 30 (33.0)
   Grade III/IV 5 (2.9) 3 (3.8) 2 (2.2)
Decreased whole white blood count
   No 104 (60.8) 50 (62.5) 54 (59.3)
   Grade I/II 52 (30.4) 21 (26.2) 31 (34.1)
   Grade III/IV 15 (8.8) 9 (11.2) 6 (6.6)
Decreased neutrophil count
   No 113 (66.1) 59 (73.8) 54 (59.3)
   Grade I/II 48 (28.1) 16 (20.0) 32 (35.2)
   Grade III/IV 10 (5.8) 5 (6.2) 5 (5.5)
Decreased platelet count
   No 134 (78.4) 58 (72.5) 76 (83.5)
   Grade I/II 30 (17.5) 18 (22.5) 12 (13.2)
   Grade III/IV 7 (4.1) 4 (5.0) 3 (3.3)
Abnormal liver function
   Grade I/II 14 (8.2) 3 (3.8) 11 (12.1)
   Grade III/IV 6 (3.5) 5 (6.2) 1 (1.1)
   Not occurred 151 (88.3) 72 (90.0) 79 (86.8)
Abnormal coagulation
   Grade I/II 14 (8.2) 9 (11.2) 5 (5.5)
   Grade III/IV 6 (3.5) 2 (2.5) 4 (4.4)
   Not occurred 151 (88.3) 69 (86.2) 82 (90.1)
Pulmonary infection
   Grade I/II 18 (10.5) 3 (3.8) 15 (16.5)
   Grade III/IV 6 (3.5) 3 (3.8) 3 (3.3)
   Not occurred 147 (86.0) 74 (92.5) 73 (80.2)
Radiation pneumonitis
   Grade I/II 8 (4.7) 0 (0.0) 8 (8.8)
   Grade III/IV 5 (2.9) 0 (0.0) 5 (5.5)
   Not occurred 158 (92.4) 80 (100.0) 78 (85.7)
Radiation esophagitis
   Grade I/II 10 (5.8) 0 (0.0) 10 (11.0)
   Grade III/IV 1 (0.6) 0 (0.0) 1 (1.1)
   Not occurred 160 (93.6) 80 (100.0) 80 (87.9)
Immune pneumonitis
   Grade I/II 8 (4.7) 2 (2.5) 6 (6.6)
   Grade III/IV 2 (1.2) 0 (0.0) 2 (2.2)
   Not occurred 161 (94.2) 78 (97.5) 83 (91.2)
Immune myocarditis
   Grade I/II 6 (3.5) 3 (3.8) 3 (3.3)
   Grade III/IV 1 (0.6) 1 (1.2) 0 (0.0)
   Not occurred 164 (95.9) 76 (95.0) 88 (96.7)
Immune thyroiditis
   Grade I/II 7 (4.1) 2 (2.5) 5 (5.5)
   Grade III/IV 5 (2.9) 3 (3.8) 2 (2.2)
   Not occurred 159 (93.0) 75 (93.8) 84 (92.3)
Immune rash
   Grade I/II 7 (4.1) 1 (1.2) 6 (6.6)
   Grade III/IV 3 (1.8) 2 (2.5) 1 (1.1)
   Not occurred 161 (94.2) 77 (96.2) 84 (92.3)

Data are presented as n (%). cTRT, consolidative thoracic radiotherapy.


Discussion

In this study, the results showed the survival benefit of cTRT, a principle established by chemotherapy era trials such as CREST, which was preserved in ES-SCLC patients receiving modern first-line chemoimmunotherapy treatment. By evaluating a cohort uniformly treated with this new standard of care, our study provides contemporary real-world data and fills the knowledge gap left unanswered by key immunotherapy trials. We acknowledge that cTRT is already an established standard of care in the chemotherapy-only era based on the CREST trial (10). Our study does not claim to overturn this paradigm, but rather extends these observations into the immunotherapy era, where prospective data remain limited.

These findings are corroborated by a recent large-scale meta-analysis (including 20 studies and over 5,000 patients), which reported that cTRT significantly improves OS (effect size 0.57) and PFS (effect size 0.53) in ES-SCLC (15). Consistent with our findings, a recent large multicenter retrospective study also confirmed that patients with ES-SCLC receiving cTRT after first-line chemoimmunotherapy demonstrated significantly improved thoracic control rates. However, after PSM analysis, the survival benefit of cTRT was diminished, with neither PFS nor OS reaching statistical significance, highlighting the impact of baseline prognostic factors such as liver metastasis (16). In contrast, our study consistently observed sustained survival benefits across multiple sensitivity analyses, which may be attributed to differences in patient selection, radiotherapy techniques, or statistical power. These convergent yet not entirely consistent findings highlight the need for prospective randomized trials to definitively establish the role of cTRT in the immunotherapy era.

By focusing on cohorts receiving first-line chemoimmunotherapy treatment, this study provides several observational findings relevant to current literature: firstly, it supports the survival advantage associated with cTRT remains undiminished when combined with immunotherapy, enhancing its potential role in contemporary treatment paradigms. Secondly, it provides real-world safety data on the combination, particularly regarding irAEs and radiation pneumonitis, addressing a key consideration in clinical practice. Thirdly, in exploratory analysis, standard-dose definitive radiotherapy was independently associated with improved PFS in the cTRT subgroup compared with palliative/low-dose (≤30 Gy/≤10 f) group, while the OS benefit was not sustained after multivariable adjustment, suggesting potential impact on intrathoracic control. Fourth, we identified GLR as an independent prognostic factor in ES-SCLC patients receiving chemoimmunotherapy. RCS analysis revealed a nonlinear relationship between GLR and OS, with an inflection point of approximately 2.95. Patients with GLR above this threshold exhibited better survival outcomes, suggesting that GLR can serve as a potential biomarker for risk stratification in this treatment context.

Despite the survival benefit achieved with contemporary ICI-based combinations as initial systemic therapy for ES-SCLC, disease progression within the chest remains a predominant challenge (4,17). Consistent with this, our exploratory analysis suggests that higher doses of cTRT may help improve intrathoracic control. However, when analyzing treatment failure modes, although our study observed a trend toward reduced thoracic relapse with cTRT, metastasis remained the predominant form of failure, and distant recurrence most frequently involved the brain. This pattern is congruent with long-term data from major Phase III trials, emphasizing that while improving local control is necessary, it is insufficient alone. The high incidence of brain failure highlights the imperative to integrate more effective systemic agents and brain-directed prophylactic strategies into future treatment paradigms (18,19).

Safety, particularly the risk of pneumonitis, is a paramount concern. In our cohort, the incidence of any-grade radiation pneumonitis was 14.3%, aligning with the manageable toxicity reported in several studies (20,21). However, a higher incidence was reported in another real-world analysis, underscoring that toxicity is influenced by multiple factors including dosimetry and patient selection (22). The generally acceptable safety profile reported in retrospective series requires definitive validation in prospective trials.

This persistent challenge underscores the unmet need that cTRT may address. The biological rationale for combining radiotherapy with immunotherapy is compelling. Radiotherapy can remodel the tumor immune microenvironment, induce immunogenic cell death, and promote systemic anti-tumor immunity effects that may synergize with ICIs (23). However, this interaction is complex. While radiotherapy recruits immune cells to the tumor microenvironment, it may also deplete these effector cells or induce immunosuppressive pathways when administered after immunotherapy (24-26). Therefore, an important unresolved biological issue is the optimal sequence of cTRT relative to immunotherapy. Some preclinical and clinical data also yield conflicting results (27), and no prospective trials have directly compared different sequences in ES-SCLC (13,28). Our data provide real-world evidence that administering cTRT following chemoimmunotherapy is feasible and associated with improved survival, although this does not prove that this sequence is optimal.

Several limitations should be acknowledged. Notably, the retrospective design carries risks of selection bias and unmeasured confounding, while missing data and the modest sample size may affect the external validity of our findings. Even with multivariable adjustment for known confounders, the impact of unmeasured factors remains possible. To mitigate these concerns, we performed PSM, time-dependent Cox regression, and E-value analyses, all of which yielded consistent results and support the robustness of our findings. In addition, the ES-SCLC population defined by the Veterans Administration (VA) staging system exhibits inherent heterogeneity, as this system classifies some patients as extensive-stage based on extensive intrathoracic lesions rather than distant metastases. This discrepancy between the VA and AJCC staging systems, where such patients would be categorized as stage III (M0) under AJCC, may contribute to variations in treatment outcomes (11). Hence, prospective validation is needed. Ongoing trials, including SAKK 15/19 (NCT04472949) and NRG-LU007 (NCT04402788), are assessing the integration of cTRT into initial therapy, and their findings are expected to clarify its optimal use (21,29).


Conclusions

In conclusion, this real-world multicenter analysis confirms that patients with ES-SCLC derive significant survival benefits and acceptable toxicity from cTRT, which enhances both local control and long-term outcomes (OS and PFS). The dominant pattern of treatment failure remains distant metastasis, particularly to the brain. These findings support the integration of effective local consolidation with optimized systemic and brain-directed strategies in the modern treatment paradigm, guided where possible by prognostic biomarkers for refined patient selection.


Acknowledgments

None.


Footnote

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2026-1-0126/rc

Data Sharing Statement: Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2026-1-0126/dss

Peer Review File: Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2026-1-0126/prf

Funding: None.

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2026-1-0126/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. This study was conducted in accordance with the Declaration of Helsinki and its subsequent amendments. The study was approved by the Biomedical Ethics Committee of West China Hospital, Sichuan University (No. 2025-427) and the Institutional Review Board of the Second People’s Hospital of Yibin (No. 2022-173-01). Individual consent for this retrospective analysis was waived.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


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Cite this article as: Zhang S, Lin N, Gu X, Cheng Z, Lin X, Liang X, Yang X, Chen J, Ma X, Liao H. Consolidative thoracic radiotherapy after first-line chemoimmunotherapy in extensive-stage small-cell lung cancer: a multicenter retrospective study. Transl Lung Cancer Res 2026;15(4):96. doi: 10.21037/tlcr-2026-1-0126

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