Literature DB >> 35912173

Risk Prediction Model for Synchronous Oligometastatic Non-Small Cell Lung Cancer: Thoracic Radiotherapy May Not Prolong Survival in High-Risk patients.

Chunliu Meng1, Fang Wang1,2, Jia Tian1, Jia Wei3, Xue Li1, Kai Ren1, Liming Xu1, Lujun Zhao1, Ping Wang1.   

Abstract

Background and Purpose: On the basis of the promising clinical study results, thoracic radiotherapy (TRT) has become an integral part of treatment of synchronous oligometastatic non-small cell lung cancer (SOM-NSCLC). However, some of them experienced rapid disease progression after TRT and showed no significant survival benefit. How to screen out such patients is a more concerned problem at present. In this study, we developed a risk-prediction model by screening hematological and clinical data of patients with SOM-NSCLC and identified patients who would not benefit from TRT. Materials and
Methods: We investigated patients with SOM-NSCLC between 2011 and 2019. A formula named Risk-Total was constructed using factors screened by LASSO-Cox regression analysis. Stabilized inverse probability treatment weight analysis was used to match the clinical characteristics between TRT and non-TRT groups. The primary endpoint was overall survival (OS).
Results: We finally included 283 patients divided into two groups: 188 cases for the training cohort and 95 for the validation cohort. Ten prognostic factors included in the Risk-Total formula were age, N stage, T stage, adrenal metastasis, liver metastasis, sensitive mutation status, local treatment status to metastatic sites, systemic inflammatory index, CEA, and Cyfra211. Patients were divided into low- and high-risk groups based on risk scores, and TRT was found to have improved the OS of low-risk patients (46.4 vs. 31.7 months, P = 0.083; 34.1 vs. 25.9 months, P = 0.078) but not that of high-risk patients (14.9 vs. 11.7 months, P = 0.663; 19.4 vs. 18.6 months, P = 0.811) in the training and validation sets, respectively.
Conclusion: We developed a prediction model to help identify patients with SOM-NSCLC who would not benefit from TRT, and TRT could not improve the survival of high-risk patients.
Copyright © 2022 Meng, Wang, Tian, Wei, Li, Ren, Xu, Zhao and Wang.

Entities:  

Keywords:  non–small cell lung cancer; risk prediction model; survival; synchronous oligometastasis; thoracic radiotherapy

Year:  2022        PMID: 35912173      PMCID: PMC9337860          DOI: 10.3389/fonc.2022.897329

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   5.738


Introduction

Non–small cell lung cancer (NSCLC) is a common malignant tumor that accounts for 70%–80% of all lung cancer cases worldwide. NSCLC is associated with high morbidity and mortality rates (1). More than half of patients with NSCLC have stage IV disease at the time of diagnosis, and up to one-third of these patients have synchronous oligometastatic (SOM) disease (2, 3). SOM disease has been described as a distinct disease entity characterized by reduced metastatic potential with a limited number of metastatic sites (4), which renders it amenable to local treatment (LT). There is no consensus on what specific criteria define SOM-NSCLC. Of note, inclusion criteria for previously cited studies were very different. Recently, the European Organization for Research and Treatment of cancer (EORTC) and the European Society of Radiotherapy & Oncology-American Society for Therapeutic Radiology and Oncology (ESTRO-ASTRO) conferences had attempted to standardize the definition of oligometastatic disease (2, 5). The documents showed that the definition of oligometastatic disease should base on safety of radical treatment rather than the number of metastases, and it would be better the number of metastatic lesions ≤ 5 and the number of metastatic sites ≤ 3, with or without primary sites, and mediastinal metastatic lymph nodes were included. Several clinical trials and multiple retrospectives series have reported favorable outcomes of thoracic radiotherapy (TRT) in highly selected patients with SOM-NSCLC (6–14). However, some of them experienced rapid disease progression after TRT and showed no significant survival benefit. And, to date, no effective predictive model has been developed to help identify patients with SOM-NSCLC who would not benefit from TRT. In this study, we sought to establish a risk prediction model to predict the mortality risk of these patients using baseline hematologic and clinical data and to identify patients who would not benefit from TRT.

Materials and methods

Patient Selection

We retrospectively reviewed the medical records of consecutive patients who received a diagnosis of advanced NSCLC at our hospital between January 2011 and December 2019. Clinical staging of the disease at the time of presentation was again determined with reference to the eighth edition of tumor node metastasis classification (15). The inclusion criteria for this study were as follows: (1) confirmed diagnosis of NSCLC based on pathological or cytological specimens, or both; (2) patients were allowed to have up to five lesions of metastatic disease (do not include primary site and enlarged lymph nodes in the mediastinum and supraclavicular) with no more than three sites (2, 5); and (3) availability of gene mutation status information. To determine metastasis status, patients needed to undergo comprehensive imaging tests, including head contrast-enhanced MRI, neck ultrasound, chest–abdomen contrast-enhanced CT plus ECT, or PET-CT. If there was ambiguous metastatic lesion in the liver, then contrast-enhanced abdominal MRI was also necessary. Meanwhile, patients were excluded if they had second primary tumor, pleural or pericardial effusion, meningeal or peritoneal metastases, a metastatic site with ambiguous diagnosis, or incomplete medical records.

Definition of Special Concept

In this study, positively sensitive mutations (SM+) included the following: EGFR (epidermal growth factor receptor) exon 19 deletion, EGFR exon 21 Leu858Arg mutation, ROS proto-oncogene 1, receptor tyrosine kinase (ROS1) fusion mutation, and ALK (anaplastic lymphoma kinase) mutation. EGFR uncommon mutations, such as exon 18 mutations, exon 20 insertion mutations, and so on, and other non-targeted therapeutic mutations or without any mutation, were defined as sensitive mutation negative (SM−).

Hematological Markers

Laboratory examinations including routine blood tests, hepatic and renal function tests, and tumor markers of patients were collected before initial treatment. The calculation formulas of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic inflammatory index (SII) were as follows: NLR = neutrophil number (109/L)/lymphocyte count (109/L); PLR = number of platelets (109/L)/number of lymphocytes (109/L); SII = number of platelets (109/L) × number of neutrophils (109/L)/number of lymphocytes (109/L). The optimal cutoff levels for albumin, leukocyte, PLR, NLR, SII, tissue polypeptide–specific antigen (TPSA), squamous cell carcinoma antigen (SCC), Ca19-9, carcinoembryonic antigen (CEA), and Cyfra211 were obtained according to overall survival (OS).

Thoracic Radiotherapy

In this study, 150 patients received TRT, and TRT could be carried out before, concomitant or after the systemic treatment. The specific radiotherapy target was determined by patient’s attending physician. Generally, gross tumor volume (GTV) included primary lesions with or without mediastinal metastatic lymph nodes, and planning GTV (PGTV) extends 5 mm across the GTV margin. Radiation therapy technology could apply conventional fractionated radiotherapy, hypo-fractionated radiotherapy, and stereotactic body radiotherapy, and the radiation doses were 1.8–2.1 Gy/50–66 Gy, 3 Gy/36–45 Gy, and 9–17 Gy/50–60 Gy, respectively.

First-line Systemic Treatment Strategy

All patients with EGFR non-SMs, untargeted therapy mutations or without mutation, underwent first-line chemotherapy after confirmation of the initial NSCLC diagnosis. The treatment included platinum-based doublet chemotherapy such as pemetrexed, paclitaxel, docetaxel, or gemcitabine combined with cisplatin, carboplatin, or nedaplatin. Each chemotherapy session was separated by an interval of 3 to 4 weeks. Patients with EGFR-SMs (exon 19 deletion, exon 21 Leu858Arg mutations) were administered first-line treatment with EGFR tyrosine kinase inhibitors (TKIs), such as gefitinib, erlotinib, and icotinib, or with chemotherapy mentioned above and then TKIs after disease progression. Patients with ALK and ROS1 mutation were administered first-line treatment with crizotinib or with chemotherapy as aforesaid and then TKIs after disease progression.

Data Analysis and Statistical Considerations

The primary endpoint was OS defined as the time from the date of diagnosis until death or the most recent follow-up. The follow-up schedule began from the time of treatment to the final follow-up on December 17, 2021. The data on the date of death or at the final follow-up visit were acquired from hospital records or through direct correspondence with the family of the patient. R 4.1.1 and SPSS 24.0 software were used for statistical analyses. The Chi-squared test (or the Fisher’s exact test as applicable) was used to compare the clinical characteristics between groups. OS was estimated using the Kaplan–Meier method, and between-group differences in OS were assessed using the log-rank test. The optimal cutoff values of hematological markers were determined using the package “survminer” based on OS. Using the “glmnet” and “survival” packages and a backward–forward stepwise method, LASSO-Cox regression analysis was performed to select the optimal prognostic factors. The “predict” function of package “survival” was used to calculate the risk score of each patient. Time-dependent receiver operator characteristic (ROC) analyses were conducted using the “timeROC” package. Package “IPWsurvival” was used for stabilized inverse probability treatment weight (IPTW) analyses.

Results

Patient Characteristics

This study had been approved by the Ethics Committee of Tianjin Medical University Cancer Hospital (ab2022138). A total of 2,194 patients were diagnosed with advanced NSCLC at our hospital during the study reference period. Of these, 1,624, 23, 54, 76, and 134 patients were excluded due to extensive metastatic lesions, second primary tumors, pleural effusion, lack of gene sequencing results, and incomplete medical records, respectively. Finally, 283 patients with SOM-NSCLC fulfilled the inclusion criteria for this study. The median OS was 23.4 months, and the 1-, 3-, and 5-year OS rates were 73.3%, 30.1%, and 11.5%, respectively. The entire cohort was randomly divided into two groups by a ratio of 2:1, 188 cases in the training set and 95 cases in the validation set, respectively. The median OS were 22.7 and 24.4 months, respectively; and 1-, 3-, and 5-year OS rates were 72.1%, 31.4%, and 12.7% and 75.6%, 27.0%, and 9.1%, respectively; and there was no difference in survival between sets (P = 0.655). The patient characteristics were summarized in .
Table 1

Clinical characteristics of patients.

CharacteristicsTraining set (N=188)Validation set (N=95) P value
No. of patients (%)No. of patients (%)
Age0.266
  <65116 (61.7)65 (68.4)
  ≥6572 (38.3)30 (31.6)
  Mean ± SD61.2 ± 9.2860.0 ± 8.110.282
Sex0.082
  Male134 (71.3)58 (61.1)
  Female54 (28.7)37 (38.9)
KPS0.773
  <8014 (7.4)8 (8.4)
  ≥80174 (92.6)87 (91.6)
Smoking0.017*
  No71 (37.8)50 (52.6)
  Yes117 (62.2)45 (47.4)
Histopathology0.328
  Adenocarcinoma130 (69.1)71 (74.7)
  Non-adenocarcinoma58 (30.9)24 (25.3)
N stage0.253
  N047 (25.0)18 (18.9)
  N1-3141 (75.0)77 (81.1)
T stage0.282
  T1-2125 (66.5)57 (60.0)
  T3-463 (33.5)38 (40.0)
SM0.153
  Yes61 (32.4)39 (41.1)
  No127 (67.6)56 (8.9)
LT status to metastatic sites before PD0.764
  All60 (31.9)32 (33.7)
  Partly or no128 (68.1)63 (66.3)
Brain metastasis38 (20.2)13 (13.7)0.177
Bone metastasis82 (43.6)48 (50.5)0.271
Adrenal metastasis22 (11.7)9 (9.5)0.571
Liver metastasis5 (2.7)1 (1.1)0.653
TRT0.968
  CFR49 (26.1)23 (24.2)
  HFR15 (8.0)7 (7.4)
  SBRT37(19.7)19 (20.0)
Albumin (g/L)42.1 ± 4.1941.1 ± 3.880.060
Leukocyte (109/L)7.6 ± 2.467.3 ± 1.990.366
PLR171.8 ± 92.61165.3 ± 72.760.551
NLR3.1 ± 2.053.2 ± 3.180.730
SII888.0 ± 675.57836.1 ± 572.670.522
TPSA (U/L)114.2 ± 209.5130.4 ± 222.360.548
SCC (µg/L)2.5 ± 6.922.5 ± 6.950.926
Ca19-9 (U/mL)40.1 ± 82.7452.9 ± 153.820.366
CEA (µg/L)39.6 ± 106.2673.9 ± 183.170.094
Cyfra211 (µg/L)6.6 ± 9.1311.2 ± 23.000.064

*P<0.05.

KPS, Karnofsky performance status; SM, sensitive mutation; LT, local treatment; PD, progress disease; TRT, thoracic radiotherapy; CFR, conventional fractionated radiotherapy; HFR, hypo-fractionated radiotherapy; SBRT, stereotactic body radiotherapy; PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen.

Clinical characteristics of patients. *P<0.05. KPS, Karnofsky performance status; SM, sensitive mutation; LT, local treatment; PD, progress disease; TRT, thoracic radiotherapy; CFR, conventional fractionated radiotherapy; HFR, hypo-fractionated radiotherapy; SBRT, stereotactic body radiotherapy; PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen.

Construction of Risk-Total Formula in the Training Set

In the training set, hematological markers, including albumin, leukocyte, PLR, NLR, SII, TPSA, SCC, Ca199, CEA, and Cyfra211, were divided into low and high groups according to the respective optimal cutoff levels ( ).
Table 2

Cutoff level and univariate Cox analyses of hematological markers in the training set.

CharacteristicsCutoffCategories P value
Albumin45.40High (≥ 45.40) vs. Low (< 45.40)0.014*
Leukocyte7.82High (≥ 7.82) vs. Low (< 7.82)0.009*
PLR112.24High (≥112.24) vs. Low (<112.24)0.096
NLR1.63High (≥ 1.63) vs. Low (< 1.63)0.007*
SII366.36High (≥ 366.36) vs. Low (< 366.36)0.001*
TPSA95.56High (≥ 95.56) vs. Low (< 95.56)0.001*
SCC1.60High (≥ 1.60) vs. Low (< 1.60)< 0.001*
Ca19-97.45High (≥ 7.45) vs. Low (< 7.45)0.197
CEA2.00High (≥ 2.00) vs. Low (< 2.00)0.009*
Cyfra2113.71High (≥ 3.71) vs. Low (< 3.71)< 0.001*

*P<0.05.

PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen.

Cutoff level and univariate Cox analyses of hematological markers in the training set. *P<0.05. PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen. To assess the mortality risk of each patient in the training set, we established a prognostic scoring system named Risk-Total using LASSO-Cox regression model ( ). Hematological markers mentioned above and other clinical variables, such as age, sex, Karnofsky performance status (KPS), smoking, histopathology, T stage, N stage, brain metastasis, bone metastasis, adrenal metastasis, liver metastasis, SM status, and LT status to metastatic site status before progression disease (PD), were included in the analysis. In this model, low albumin, high leukocyte, high PLR, high NLR, high SII, high TPSA, high SCC, high Ca199, high CEA, high Cyfra211, age ≥ 65, male, KPS < 80, smoking, N1–3, T3–4, non-adenocarcinoma, presence of brain metastasis, bone metastasis, adrenal metastasis, liver metastasis, SM−, and metastatic sites receiving partial or no LT before PD were assigned in level 2, and the corresponding alternatives were assigned in level 1.
Figure 1

Construction and validation for Risk-Total. (A, C) Kaplan–Meier survival analyses of Risk-Total in the training set and the validation set. (B, D) Risk-Total performance in time-dependent receiver operating characteristic (ROC) curves in the training set and the validation set.

Construction and validation for Risk-Total. (A, C) Kaplan–Meier survival analyses of Risk-Total in the training set and the validation set. (B, D) Risk-Total performance in time-dependent receiver operating characteristic (ROC) curves in the training set and the validation set. Finally, 10 variables were included in the optimal model (AIC = 1,251.94, P < 2.2 × 10−16) as follows: Risk-Total = 1 × HR-value (age) × HR-value (N stage) × HR-value (T stage) × HR-value (adrenal metastasis) × HR-value (liver metastasis) × HR-value (SM status) × HR-value (LT status to metastatic sites before PD) × HR-value (SII) × HR-value (CEA) × HR-value (Cyfra211) ( ). According to the median Risk-Total value (10.0658), patients were divided into low-risk and high-risk groups, and the median survival time (MST) were 37.6 and 13.4 months, respectively (P < 0.001; ). Meanwhile, the prognostic accuracy of Risk-Total was evaluated by time-dependent ROC analyses, with 2-, 3-, and 4-year AUC values of 0.873, 0.836, and 0.875, respectively, which confirmed the excellent prognostic power of it ( ). The patient characteristics between low- and high-risk groups were displayed in .
Table 3

Factors included in the Risk-Total formula.

CharacteristicsLevelCoefficientHR-value P value
Age1 = <650.337210.05597
2 = ≥651.4010
N stage1 = N00.346310.08476
2 = N1-31.4138
T stage1 = T1-20.412710.02272*
2 = T3-41.5109
Adrenal metastasis1 = no0.458010.06697
2 = yes1.5810
Liver metastasis1 = no1.092310.02658*
2 = yes2.9811
SM status1 = SM+ 0.854819.09×e-06*
2 = SM 2.3510
LT status to metastatic sites before PD1 = All0.540710.00505*
2 = Partly or no1.7172
SII1 = low0.909810.00348*
2 = high2.4838
CEA1 = low-0.627510.01300*
2 = high0.5339
Cyfra2111 = low0.814211.19×e-05*
2 = high2.2574

*P<0.05.

SM, sensitive mutation; PD, progress disease; SII, systemic inflammatory index; CEA, carcinoembryonic antigen.

Risk-Total = 1*HR-value (age) *HR-value (N stage) *HR-value (T stage) *HR-value (adrenal metastasis) *HR-value (liver metastasis) *HR-value (SM status) *HR-value (LT to metastatic sites status before PD) *HR-value (SII) *HR-value (CEA) *HR-value (Cyfra211).

Table 4

Clinical characteristics of low- and high-risk patients in the training set.

CharacteristicsLow risk (N=94)High risk (N=94) P value
No. of patients (%)No. of patients (%)
Age0.134
  <6563 (67.0)53 (56.4)
  ≥6531 (33.0)41 (43.6)
  Mean ± SD59.6 ± 9.7662.8 ± 8.530.017*
Sex0.010*
  Male59 (62.8)75 (79.8)
  Female35 (37.2)19 (20.2)
KPS0.578
  <808 (8.5)6 (6.4)
  ≥8086 (91.5)88 (93.6)
Smoking0.001*
  No47 (50.0)24 (25.5)
  Yes47 (50.0)70 (74.5)
Histopathology0.001*
  Adenocarcinoma76 (80.9)54 (57.4)
  Non-adenocarcinoma18 (19.1)40 (42.6)
N stage0.029*
  N030 (31.9)17 (18.1)
  N1-364 (68.9)77 (81.9)
T stage<0.001*
  T1-277 (81.9)48 (51.1)
  T3-417 (19.1)46 (48.9)
SM<0.001*
  Yes50 (53.2)11 (41.1)
  No44 (46.8)83 (8.9)
LT status to metastatic sites before PD0.001*
  All41 (43.6)19 (20.2)
  Partly or no53 (56.4)75 (79.8)
Brain metastasis21 (22.3)17 (18.1)0.468
Bone metastasis48 (51.1)34 (36.2)0.039*
Adrenal metastasis4 (4.3)18 (19.1)0.001*
Liver metastasis1 (1.1)4 (4.3)0.365
TRT0.283
  CFR22 (23.4)27 (28.7)
  HFR8 (8.5)7 (7.4)
  SBRT23 (24.5)14 (14.9)
Albumin (g/L)42.5 ± 4.6441.7 ± 3.670.165
Leukocyte (109/L)7.4 ± 2.747.8 ± 2.130.304
PLR163.1 ± 63.81180.5 ± 114.120.200
NLR3.2 ± 2.453.0 ± 1.570.507
SII838.4 ± 570.29937.6 ± 766.490.316
TPSA (U/L)91.7 ± 144.8136.8 ± 257.350.140
SCC (µg/L)1.8 ± 7.193.2 ± 6.610.165
Ca19-9 (U/mL)30.8 ± 61.3149.5 ± 99.150.122
CEA (µg/L)39.6 ± 106.2673.9 ± 183.170.130
Cyfra211 (µg/L)5.1 ± 8.398.0 ± 9.640.027*

*P<0.05.

KPS, Karnofsky performance status; SM, sensitive mutation; LT, local treatment; PD, progress disease; TRT, thoracic radiotherapy; CFR, conventional fractionated radiotherapy; HFR, hypo-fractionated radiotherapy; SBRT, stereotactic body radiotherapy; PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen.

Factors included in the Risk-Total formula. *P<0.05. SM, sensitive mutation; PD, progress disease; SII, systemic inflammatory index; CEA, carcinoembryonic antigen. Risk-Total = 1*HR-value (age) *HR-value (N stage) *HR-value (T stage) *HR-value (adrenal metastasis) *HR-value (liver metastasis) *HR-value (SM status) *HR-value (LT to metastatic sites status before PD) *HR-value (SII) *HR-value (CEA) *HR-value (Cyfra211). Clinical characteristics of low- and high-risk patients in the training set. *P<0.05. KPS, Karnofsky performance status; SM, sensitive mutation; LT, local treatment; PD, progress disease; TRT, thoracic radiotherapy; CFR, conventional fractionated radiotherapy; HFR, hypo-fractionated radiotherapy; SBRT, stereotactic body radiotherapy; PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen.

Validation of Risk-Total Formula in the Validation Set

In the validation set, patients’ hematological markers were grouped on the basis of cutoff value, as shown in , and the risk score were calculated on the basis of Risk-Total formula, as shown in . Then, according to the median value (10.0658) mentioned above, patients were divided into low-risk and high-risk groups, and the MST were 29.7 and 16.9 months, respectively (P = 0.00084; ). Similarly, the prognostic accuracy of Risk-Total was also evaluated by time-dependent ROC analyses, with 2-, 3-, and 4-year AUC values of 0.724, 0.648, and 0.689, respectively ( ). These results confirmed the super prognostic power of Risk-Total in another heterogeneous population. The patient characteristics between low- and high-risk groups are shown in .
Table 5

Clinical characteristics of low- and high-risk patients in the validation set.

  CharacteristicsLow risk (N=44)High risk (N=51) P value
No. of patients (%)No. of patients (%)
Age0.085
  <6534 (77.3)31 (60.8)
  ≥6510 (22.7)20 (39.2)
Mean ± SD58.5 ± 7.4761.3 ± 8.470.092
Sex0.227
  Male24 (54.5)34 (66.7)
  Female20 (45.5)17 (33.3)
KPS1.000
  <804 (9.1)4 (7.8)
  ≥8040 (90.9)47 (92.2)
Smoking0.046*
  No28 (63.6)22 (43.1)
  Yes16 (36.4)29 (56.9)
Histopathology0.051
  Adenocarcinoma37 (84.1)34 (66.7)
  Non-adenocarcinoma7 (15.9)17 (33.3)
N stage0.054
  N012 (27.3)6 (11.8)
  N1-332 (72.7)45 (88.2)
T stage<0.001*
  T1-236 (81.8)21 (41.2)
  T3-48 (18.2)30 (58.8)
SM<0.001*
  Yes31 (70.5)8 (15.7)
  No13 (29.5)43 (84.3)
LT status to metastatic sites before PD0.007*
  All21 (47.7)11 (21.6)
  Partly or no23 (52.3)40 (78.4)
Brain metastasis7 (15.9)6 (11.8)0.558
Bone metastasis29 (65.9)19 (37.3)0.005*
Adrenal metastasis1 (2.3)8 (15.7)0.061
Liver metastasis1 (2.3)0 (0.0)0.941
TRT0.227
  CFR11 (25.0)12 (23.5)
  HFR4 (9.1)3 (5.9)
  SBRT11 (31.8)5 (9.8)
Albumin (g/L)41.4 ± 3.7540.8 ± 4.000.454
Leukocyte (109/L)7.1 ± 2.087.6 ± 1.910.234
PLR159.1 ± 70.64170.7 ± 74.810.440
NLR2.9 ± 2.183.5 ± 3.850.346
SII790.2 ± 665.89875.6 ± 481.410.472
TPSA (U/L)81.9 ± 98.81172.3 ± 284.070.037*
SCC (µg/L)1.3 ± 1.793.5 ± 9.270.109
Ca19-9 (U/mL)29.0 ± 61.3052.9 ± 153.820.139
CEA (µg/L)39.6 ± 106.2673.4 ± 200.800.108
Cyfra211 (µg/L)5.8 ± 9.6415.8 ± 29.460.025*

*P<0.05.

KPS, Karnofsky performance status; SM, sensitive mutation; LT, local treatment; PD, progress disease; TRT, thoracic radiotherapy; CFR, conventional fractionated radiotherapy; HFR, hypo-fractionated radiotherapy; SBRT, stereotactic body radiotherapy; PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen.

Clinical characteristics of low- and high-risk patients in the validation set. *P<0.05. KPS, Karnofsky performance status; SM, sensitive mutation; LT, local treatment; PD, progress disease; TRT, thoracic radiotherapy; CFR, conventional fractionated radiotherapy; HFR, hypo-fractionated radiotherapy; SBRT, stereotactic body radiotherapy; PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen.

Prognostic Value of TRT for Low- and High- risk Patients

In the training set, 54 of 94 patients with low-risk received TRT, and survival analysis showed improvement in OS (42.8 vs. 32.4 months, P = 0.070; ). However, the inter-group clinical characteristics were very unbalanced, especially with respect to age, gender, LT status to metastatic sites, and PLR ( ). Therefore, we applied the stabilized IPTW analysis to calculate the weights of clinical variables and match them. After matching, TRT was still found to improve the OS (46.4 vs. 31.7 months, P = 0.083; ). Whereas, 47 of 94 patients with high-risk received TRT, but the OS was not prolonged (15.5 vs. 11.4 months, P = 0.300; ). When the clinical variables were calculated weights and matched ( ), the survival time was not improved all the same (14.9 vs. 11.7 months, P = 0.663; ).
Figure 2

Kaplan–Meier survival analyses for patients between groups. (A, B) Survival curves for low-risk patients between non-TRT and TRT groups when clinical characteristics were unmatched and matched using stabilized IPTW analysis in the training set. (C, D) Survival curves for high-risk patients between non-TRT and TRT groups when clinical characteristics were unmatched and matched using stabilized IPTW analysis in the training set.

Kaplan–Meier survival analyses for patients between groups. (A, B) Survival curves for low-risk patients between non-TRT and TRT groups when clinical characteristics were unmatched and matched using stabilized IPTW analysis in the training set. (C, D) Survival curves for high-risk patients between non-TRT and TRT groups when clinical characteristics were unmatched and matched using stabilized IPTW analysis in the training set. Comparison of clinical characteristics of patients in no-TRT and TRT subgroups. KPS, Karnofsky performance status; SM, sensitive mutation; LT, local treatment; PD, progress disease; TRT, thoracic radiotherapy; PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen. In the validation set, 29 of 44 low-risk patients received TRT, and the OS was prolonged 8.2 months (34.1 vs. 25.9 months, P = 0.080; ). In addition, stabilized IPTW analysis was used to match the clinical characteristics ( ), and the between-group differences in OS were close to statistical as ever (34.1 vs. 25.9 months, P = 0.078; ). Meanwhile, 51 patients were divided into high-risk group, and 20 of them received TRT with no improvement in OS (17.1 vs. 14.7 months, P = 0.400; ). On the basis of the clinical characteristics, the TRT group had more patients with no treatment to metastatic sites, which may have influenced the result ( ). Similarly, we applied stabilized IPTW analysis to match the groups. After matching, TRT was not found to have improved survival as before (19.4 vs. 18.6 months, P = 0.811; ).
Figure 3

Kaplan–Meier survival analyses for patients between groups. (A, B) Survival curves for low-risk patients between non-TRT and TRT groups when clinical characteristics were unmatched and matched using stabilized IPTW analysis in the validation set. (C, D) Survival curves for high-risk patients between non-TRT and TRT groups when clinical characteristics were unmatched and matched using stabilized IPTW analysis in the validation set.

Kaplan–Meier survival analyses for patients between groups. (A, B) Survival curves for low-risk patients between non-TRT and TRT groups when clinical characteristics were unmatched and matched using stabilized IPTW analysis in the validation set. (C, D) Survival curves for high-risk patients between non-TRT and TRT groups when clinical characteristics were unmatched and matched using stabilized IPTW analysis in the validation set.

Discussion

In the current study, we established a risk prediction model to predict the mortality risk of patients with SOM-NSCLC and, further, to identify patients who would not benefit from TRT. Eventually, a total of 283 cases met the inclusion criteria and were divided into the training and validation sets. A Risk-Total formula constructed by 10 clinical prognostic factors was used to calculate each patient’s risk score, and patients were divided into low- and high-risk groups according to the median value (10.0658) in the training set. Then, TRT was found to just have improved the survival of low-risk patients (P = 0.083) but not that of high-risk patients (P = 0.663) in the training set. Similarly, patients in the validation set were estimated risk-score on the basis of the Risk-Total formula, and were grouped into low- and high-risk groups basing on the median value (10.0658), and TRT only prolonged the OS of low-risk patients (P = 0.078) but not that of the high-risk patients (P = 0.811). The biological characteristics of oligometastatic cancer are increasingly being defined, and the role of LT has evolved substantially during the past decade. In 2018, a prospective, multicenter, single-arm, phase 2 trial reported the long-term outcomes of consolidative radiation therapy (CRT) to the primary and metastatic sites from oligometastatic NSCLC, achieving a partial response or stable disease after three to six cycles of platinum-based chemotherapy. The median PFS and OS were 11.2 and 28.4 months, respectively, which met the primary endpoint and transcended the historical record (13). The first multicenter randomized trial of local consolidative therapy (LCT) for highly selected oligometastatic NSCLC (≤3 metastatic lesions, no progression after front-line systemic therapy) demonstrated significant PFS (14.2 vs. 4.4 months) and OS (41.2 vs. 17.0 months) benefit compared with patients who received maintenance therapy or observation (8). Another single-center randomized phase 2 study of maintenance chemotherapy alone versus stereotactic ablative radiotherapy followed by maintenance chemotherapy for patients with limited metastatic NSCLC (primary plus up to five metastatic sites) with no EGFR-targetable or ALK-targetable mutations but who did achieve a partial response or stable disease after induction chemotherapy also obtained gratifying results (7). Despite differences in the population inclusion criteria in these clinical trials, there was significant prolongation of OS (range of 28.4–41.2 months). However, some patients with SOM-NSCLC experienced rapid disease progression after TRT and showed no significant survival benefit. However, to date, no effective predictive model has been developed to help identify patients who would not benefit from TRT. Hence, in the present study, we established a risk prediction model to predict the mortality risk of patients with SOM-NSCLC and, further, to identify patients who would not benefit from TRT. Several hematological and clinical factors have been shown to suggest a bad prognosis for lung cancer including hypoalbuminemia (16–18); increase of C-reactive protein (18, 19), lactate dehydrogenase (20), PLR (17, 21–23), NLR (17, 21–24), SII (17, 21), and tumor biomarkers (20, 25); abnormal coagulation and fibrinolysis (26, 27); high T and N stage; liver metastasis; adrenal metastasis (28, 29); absence of SMs; smoking history; male; and loss of weight (30). In the present study, 10 variables were included in the Risk-Total formula, and the level of risk score was associated with reduced survival of patients, which was consistent with previous studies. According to this model, we found that TRT just improve the survival of low-risk patients but not that of high-risk. In recent years, immunotherapy has transformed the treatment approach for patients with advanced NSCLC. The combination of immunotherapy and LCT for these potentially curable patients is an area of active investigation. Bauml et al. (31) randomized 51 patients who had oligometastatic NSCLC (≤4 metastatic sites) and had completed LT to all known sites of disease to receive pembrolizumab. The median PFS was significantly greater than historical data (P = 0.005), and 1- and 2-year OS rates were 90.9% and 77.5%, respectively. Nevertheless, in our study, immunotherapy status was not included in the analysis, which may affect the practicality of this prediction model in the era of immunotherapy.

Limitations

Some limitations of our study should be considered. Most importantly, because of the retrospective study design, the diagnosis of metastatic sites was not based on homogenous imaging techniques. Next, local and systematic treatments were also inconsistent, which may have influenced survival. Finally, this study was based on the experience of a single institution, and the number of patients was limited. Future multicenter studies are required to verify this model and to refine the treatment method for primary lesion.

Conclusion

The prognosis of SOM-NSCLC is significantly influenced by many hematological and clinical factors. A prediction model was developed in this study to help identify patients who would not benefit from TRT, and we found that TRT improved the survival of low-risk patients but not that of the high-risk patients.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

Ethics Statement

The studies involving human participants were reviewed and approved by Department of Ethics Committee, Tianjin Medical University Cancer Institute and Hospital. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

CM: Conceptualization, Methodology, Formal analysis, Investigation, Writing - Original Draft. FW: Conceptualization, Methodology, Formal analysis, Investigation. JT, JW, and XL: Investigation. KR and LX: Methodology. LZ and PW: Writing - Review and Editing. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the Chinese National Key Research and Development Project (Grant No. 2018YFC1315601), and the National Natural Science Foundation of China (No.81903121).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Table 6

Comparison of clinical characteristics of patients in no-TRT and TRT subgroups.

A
  Unmatched Stabilized IPTW
Levelno-TRT (%)TRT (%) P  no-TRT (%)TRT (%) P
Number405436.855
Age<6533 (82.5)32 (59.3)0.02925.6 (69.6)38.8 (70.5)0.937
>=657 (17.5)22 (40.7)11.2 (30.4)16.2 (29.5)
Genderfemale20 (50.0)14 (25.9)0.02915.1 (41.1)22.2 (40.3)0.952
male20 (50.0)40 (74.1)21.7 (58.9)32.8 (59.7)
KPS>=8037 (92.5)49 (90.7)1.00034.8 (94.5)51.0 (92.8)0.723
<803 (7.5)5 (9.3)2.0 (5.5)4.0 (7.2)
Smokingno21 (52.5)25 (46.3)0.69918.0 (48.8)30.6 (55.7)0.594
yes19 (47.5)29 (53.7)18.8 (51.2)24.4 (44.3)
Histopathologyadenocarcinoma36 (90.0)44 (81.5)0.39329.1 (79.0)46.2 (84.0)0.651
non-adenocarcinoma4 (10.0)10 (18.5)7.7 (21.0)8.8 (16.0)
N stageN010 (25.0)23 (42.6)0.12211.8 (32.1)18.3 (33.3)0.921
N1-330 (75.0)31 (57.4)25.0 (67.9)36.6 (66.7)
T stageT1-234 (85.0)47 (87.0)1.00032.9 (89.4)48.8 (88.7)0.910
T3-46 (15.0)7 (13.0)3.9 (10.6)6.2 (11.3)
Brain metastasisno31 (77.5)39 (72.2)0.73329.4 (79.8)43.0 (78.2)0.869
yes9 (22.5)15 (27.8)7.4 (20.2)12.0 (21.8)
Bone metastasisno18 (45.0)30 (55.6)0.42217.4 (47.3)26.1 (47.5)0.993
yes22 (55.0)24 (44.4)19.4 (52.7)28.9 (52.5)
Adrenal metastasisno37 (92.5)52 (96.3)0.72935.1 (95.4)52.8 (96.1)0.882
yes3 (7.5)2 (3.7)1.7 (4.6)2.2 (3.9)
SM statusSM+25 (62.5)28 (51.9)0.41320.4 (55.6)31.7 (57.7)0.869
SM-15 (37.5)26 (48.1)16.4 (44.4)23.3 (42.3)
LT to metastatic sites before PDall13 (32.5)31 (57.4)0.02913.5 (36.6)23.3 (42.4)0.641
partly or no27 (67.5)23 (42.6)23.3 (63.4)31.7 (57.6)
Albuminhigh8 (20.0)14 (25.9)0.6716.5 (17.6)10.9 (19.8)0.790
low32 (80.0)40 (74.1)30.3 (82.4)44.1 (80.2)
Leukocytelow27 (67.5)40 (74.1)0.64125.8 (70.0)41.6 (75.7)0.603
high13 (32.5)14 (25.9)11.1 (30.0)13.3 (24.3)
PLRlow8 (20.0)24 (44.4)0.02412.6 (34.2)17.3 (31.4)0.827
high32 (80.0)30 (55.6)24.2 (65.8)37.7 (68.6)
NLRlow5 (12.5)12 (22.2)0.3478.1 (22.1)9.5 (17.2)0.656
high35 (87.5)42 (77.8)28.7 (77.9)45.5 (82.8)
SIIlow6 (15.0)16 (29.6)0.1599.5 (25.9)13.4 (24.3)0.901
high34 (85.0)38 (70.4)27.3 (74.1)41.6 (75.7)
TPSAlow31 (77.5)46 (85.2)0.49331.4 (85.4)47.1 (85.7)0.973
high9 (22.5)8 (14.8)5.4 (14.6)7.9 (14.3)
SCClow38 (95.0)47 (87.0)0.34633.6 (91.4)49.3 (89.8)0.834
high2 (5.0)7 (13.0)3.2 (8.6)5.6 (10.2)
Ca199low11 (27.5)13 (24.1)0.8917.4 (20.1)10.1 (18.5)0.846
high29 (72.5)41 (75.9)29.4 (79.9)44.8 (81.5)
CEAlow0 (0.0)4 (7.4)0.2140.0 (0.0)2.3 (4.2)0.135
high40 (100.0)50 (92.6)36.8 (100.0)52.7 (95.8)
Cyfra211low25 (62.5)37 (68.5)0.69725.4 (69.1)40.2 (73.1)0.714
 high15 (37.5)17 (31.5)11.4 (30.9)14.8 (26.9)
B
  Unmatched  Stabilized IPTW
 Levelno-TRT (%)TRT (%) P  no-TRT (%)TRT (%) P
Number474730.447.2
Age<6528 (59.6)23 (48.9)0.40816.9 (55.5)27.2 (57.6)0.893
>=6519 (40.4)24 (51.1)13.5 (44.5)20.0 (42.4)
Genderfemale14 (29.8)6 (12.8)0.0787.4 (24.3)3.4 (7.3)0.018
male33 (70.2)41 (87.2)23.0 (75.7)43.7 (92.7)
KPS>=8044 (93.6)44 (93.6)1.00028.2 (92.7)43.9 (93.1)0.949
<803 (6.4)3 (6.4)2.2 (7.3)3.2 (6.9)
Smokingno15 (31.9)10 (21.3)0.3508.5 (27.8)6.1 (13.0)0.092
yes32 (68.1)37 (78.7)21.9 (72.2)41.1 (87.0)
Histopathologyadenocarcinoma30 (63.8)20 (42.6)0.06319.7 (64.9)27.9 (59.1)0.697
non-adenocarcinoma17 (36.2)27 (57.4)10.7 (35.1)19.3 (40.9)
N stageN03 (6.4)11 (23.4)0.0432.0 (6.4)6.0 (12.6)0.317
N1-344 (93.6)36 (76.6)28.5 (93.6)41.2 (87.4)
T stageT1-222 (46.8)22 (46.8)1.00013.2 (43.5)22.3 (47.2)0.820
T3-425 (53.2)25 (53.2)17.2 (56.5)24.9 (52.8)
Brain metastasisno40 (85.1)40 (85.1)1.00026.3 (86.5)41.9 (88.9)0.757
yes7 (14.9)7 (14.9)4.1 (13.5)5.3 (11.1)
Bone metastasisno29 (61.7)29 (61.7)1.00016.9 (55.7)18.1 (38.3)0.236
yes18 (38.3)18 (38.3)13.5 (44.3)29.1 (61.7)
Adrenal metastasisno40 (85.1)37 (78.7)0.59226.0 (85.4)40.2 (85.2)0.987
yes7 (14.9)10 (21.3)4.5 (14.6)7.0 (14.8)
Liver metastasisno44 (93.6)45 (95.7)1.00028.8 (94.5)46.0 (97.5)0.392
yes3 (6.4)2 (4.3)1.7 (5.5)1.2 (2.5)
SM statusSM+7 (14.9)1 (2.1)0.0653.5 (11.5)0.5 (1.1)0.007
SM-40 (85.1)46 (97.9)26.9 (88.5)46.7 (98.9)
LT to metastatic sites before PDall1 (2.1)15 (31.9)0.0010.6 (1.9)7.6 (16.0)0.015
partly or no46 (97.9)32 (68.1)29.8 (98.1)39.6 (84.0)
Albuminhigh4 (8.5)4 (8.5)1.0002.5 (8.4)2.5 (5.2)0.533
low43 (91.5)43 (91.5)27.9 (91.6)44.7 (94.8)
Leukocytelow22 (46.8)24 (51.1)0.83714.2 (46.8)22.6 (47.9)0.946
high25 (53.2)23 (48.9)16.2 (53.2)24.6 (52.1)
PLRlow6 (12.8)8 (17.0)0.7723.4 (11.2)4.5 (9.5)0.774
high41 (87.2)39 (83.0)27.0 (88.8)42.7 (90.5)
NLRlow1 (2.1)3 (6.4)0.6090.8 (2.6)1.8 (3.8)0.744
high46 (97.9)44 (93.6)29.6 (97.4)45.4 (96.2)
SIIlow0 (0.0)3 (6.4)0.2410.0 (0.0)1.5 (3.2)0.260
high47 (100.0)44 (93.6)30.4 (100.0)45.7 (96.8)
TPSAlow26 (55.3)28 (59.6)0.83517.4 (57.2)27.3 (57.8)0.971
high21 (44.7)19 (40.4)13.0 (42.8)19.9 (42.2)
SCClow31 (66.0)29 (61.7)0.83020.7 (68.1)32.7 (69.4)0.925
high16 (34.0)18 (38.3)9.7 (31.9)14.4 (30.6)
Ca199low6 (12.8)13 (27.7)0.1234.4 (14.5)11.3 (24.0)0.399
high41 (87.2)34 (72.3)26.0 (85.5)35.9 (76.0)
CEAlow3 (6.4)13 (27.7)0.0142.1 (7.0)7.0 (14.9)0.255
high44 (93.6)34 (72.3)28.3 (93.0)40.2 (85.1)
Cyfra211low4 (8.5)14 (29.8)0.0184.4 (14.5)8.3 (17.6)0.759
 high43 (91.5)33 (70.2)  26.0 (85.5)38.9 (82.4) 
C
  Unmatched Stabilized IPTW
 Levelno-TRT (%)TRT (%) P  no-TRT (%)TRT (%) P
Number15295.119.1
Age<6514 (93.3)21 (72.4)0.2164.8 (93.3)13.8 (72.4)0.111
>=651 (6.7)8 (27.6)0.3 (6.7)5.3 (27.6)
Genderfemale8 (53.3)13 (44.8)0.8282.7 (53.3)8.6 (44.8)0.599
male7 (46.7)16 (55.2)2.4 (46.7)10.5 (55.2)
KPS>=8013 (86.7)27 (93.1)0.8804.4 (86.7)17.8 (93.1)0.490
<802 (13.3)2 (6.9)0.7 (13.3)1.3 (6.9)
Smokingno10 (66.7)19 (65.5)1.0003.4 (66.7)12.5 (65.5)0.940
yes5 (33.3)10 (34.5)1.7 (33.3)6.6 (34.5)
Histopathologyadenocarcinoma13 (86.7)25 (86.2)1.0004.4 (86.7)16.5 (86.2)0.967
non-adenocarcinoma2 (13.3)4 (13.8)0.7 (13.3)2.6 (13.8)
N stageN02 (13.3)10 (34.5)0.2560.7 (13.3)6.6 (34.5)0.144
N1-313 (86.7)19 (65.5)4.4 (86.7)12.5 (65.5)
T stageT1-211 (73.3)25 (86.2)0.5243.8 (73.3)16.5 (86.2)0.304
T3-44 (26.7)4 (13.8)1.4 (26.7)2.6 (13.8)
Brain metastasisno11 (73.3)25 (86.2)0.5243.8 (73.3)16.5 (86.2)0.304
yes4 (26.7)4 (13.8)1.4 (26.7)2.6 (13.8)
Bone metastasisno4 (26.7)12 (41.4)0.5281.4 (26.7)7.9 (41.4)0.346
yes11 (73.3)17 (58.6)3.8 (73.3)11.2 (58.6)
Adrenal metastasisno15 (100.0)28 (96.6)1.0005.1 (100.0)18.5 (96.6)0.596
yes0 (0.0)1 (3.4)0.0 (0.0)0.7 (3.4)
Liver metastasisno14 (93.3)29 (100.0)0.7344.8 (93.3)19.1 (100.0)0.059
yes1 (6.7)0 (0.0)0.3 (6.7)0.0 (0.0)
SM statusSM+14 (93.3)18 (62.1)0.0644.8 (93.3)11.9 (62.1)0.031
SM-1 (6.7)11 (37.9)0.3 (6.7)7.3 (37.9)
LT to metastatic sites before PDall5 (33.3)17 (58.6)0.2031.7 (33.3)11.2 (58.6)0.120
partly or no10 (66.7)12 (41.4)3.4 (66.7)7.9 (41.4)
Albuminhigh0 (0.0)5 (17.2)0.2270.0 (0.0)3.3 (17.2)0.182
low15 (100.0)24 (82.8)5.1 (100.0)15.8 (82.8)
Leukocytelow12 (80.0)20 (69.0)0.6734.1 (80.0)13.2 (69.0)0.445
high3 (20.0)9 (31.0)1.0 (20.0)5.9 (31.0)
PLRlow5 (33.3)9 (31.0)1.0001.7 (33.3)5.9 (31.0)0.879
high10 (66.7)20 (69.0)3.4 (66.7)13.2 (69.0)
NLRlow3 (20.0)6 (20.7)1.0001.0 (20.0)4.0 (20.7)0.958
high12 (80.0)23 (79.3)4.1 (80.0)15.2 (79.3)
SIIlow3 (20.0)5 (17.2)1.0001.0 (20.0)3.3 (17.2)0.825
high12 (80.0)24 (82.8)4.1 (80.0)15.8 (82.8)
TPSAlow10 (66.7)26 (89.7)0.1443.4 (66.7)17.1 (89.7)0.069
high5 (33.3)3 (10.3)1.7 (33.3)2.0 (10.3)
SCClow14 (93.3)24 (82.8)0.6134.8 (93.3)15.8 (82.8)0.342
high1 (6.7)5 (17.2)0.3 (6.7)3.3 (17.2)
Ca199low4 (26.7)10 (34.5)0.8521.4 (26.7)6.6 (34.5)0.604
high11 (73.3)19 (65.5)3.8 (73.3)12.5 (65.5)
CEAlow2 (13.3)4 (13.8)1.0000.7 (13.3)2.6 (13.8)0.967
high13 (86.7)25 (86.2)4.4 (86.7)16.5 (86.2)
Cyfra211low4 (26.7)20 (69.0)0.0191.4 (26.7)13.2 (69.0)0.011
 high11 (73.3)9 (31.0)3.8 (73.3)5.9 (31.0)
D
  Unmatched Stabilized IPTW
 Levelno-TRT (%)TRT (%) P  no-TRT (%)TRT (%) P
Number312027.816.2
Age<6518 (58.1)12 (60.0)1.00014.1 (50.8)7.1 (43.6)0.665
>=6513 (41.9)8 (40.0)13.7 (49.2)9.1 (56.4)
Genderfemale8 (25.8)8 (40.0)0.4497.4 (26.5)5.3 (32.4)0.678
male23 (74.2)12 (60.0)20.4 (73.5)11.0 (67.6)
KPS>=8029 (93.5)18 (90.0)1.00026.3 (94.7)15.3 (94.2)0.937
<802 (6.5)2 (10.0)1.5 (5.3)0.9 (5.8)
Smokingno11 (35.5)10 (50.0)0.46110.0 (36.2)6.3 (38.7)0.871
yes20 (64.5)10 (50.0)17.7 (63.8)9.9 (61.3)
Histopathologyadenocarcinoma23 (74.2)10 (50.0)0.14319.0 (68.5)9.9 (60.9)0.640
non-adenocarcinoma8 (25.8)10 (50.0)8.8 (31.5)6.3 (39.1)
N stageN02 (6.5)4 (20.0)0.3074.1 (14.6)3.2 (19.5)0.739
N1-329 (93.5)16 (80.0)23.7 (85.4)13.0 (80.5)
T stageT1-215 (48.4)6 (30.0)0.31213.6 (48.8)6.4 (39.6)0.598
T3-416 (51.6)14 (70.0)14.2 (51.2)9.8 (60.4)
Brain metastasisno28 (90.3)18 (90.0)1.00025.6 (92.3)15.2 (94.0)0.788
yes3 (9.7)2 (10.0)2.1 (7.7)1.0 (6.0)
Bone metastasisno17 (54.8)14 (70.0)0.43014.1 (50.7)9.6 (59.2)0.622
yes14 (45.2)6 (30.0)13.7 (49.3)6.6 (40.8)
Adrenal metastasisno25 (80.6)18 (90.0)0.61523.1 (83.0)13.2 (81.7)0.928
yes6 (19.4)2 (10.0)4.7 (17.0)3.0 (18.3)
SM statusSM+5 (16.1)2 (10.0)0.8385.1 (18.2)3.4 (21.1)0.854
SM-26 (83.9)18 (90.0)22.7 (81.8)12.8 (78.9)
LT to metastatic sites before PDall2 (6.5)8 (40.0)0.0101.9 (6.8)3.5 (21.5)0.124
partly or no29 (93.5)12 (60.0)25.9 (93.2)12.7 (78.5)
Albuminhigh5 (16.1)3 (15.0)1.0005.0 (18.1)3.7 (23.0)0.750
low26 (83.9)17 (85.0)22.7 (81.9)12.5 (77.0)
Leukocytelow17 (54.8)9 (45.0)0.69016.3 (58.6)8.2 (50.9)0.642
high14 (45.2)11 (55.0)11.5 (41.4)8.0 (49.1)
PLRlow4 (12.9)2 (10.0)1.0005.3 (19.0)3.5 (21.6)0.873
high27 (87.1)18 (90.0)22.5 (81.0)12.7 (78.4)
NLRlow2 (6.5)1 (5.0)1.0003.3 (12.1)1.8 (11.2)0.950
high29 (93.5)19 (95.0)24.4 (87.9)14.4 (88.8)
SIIlow2 (6.5)1 (5.0)1.0003.3 (12.1)1.8 (11.2)0.950
high29 (93.5)19 (95.0)24.4 (87.9)14.4 (88.8)
TPSAlow14 (45.2)12 (60.0)0.45412.3 (44.2)7.8 (48.4)0.806
high17 (54.8)8 (40.0)15.5 (55.8)8.4 (51.6)
SCClow21 (67.7)14 (70.0)1.00020.4 (73.3)11.5 (71.1)0.888
high10 (32.3)6 (30.0)7.4 (26.7)4.7 (28.9)
Ca199low7 (22.6)8 (40.0)0.3097.5 (27.2)4.7 (28.8)0.912
high24 (77.4)12 (60.0)20.2 (72.8)11.5 (71.2)
CEAlow4 (12.9)5 (25.0)0.4654.8 (17.1)2.5 (15.6)0.899
high27 (87.1)15 (75.0)23.0 (82.9)13.7 (84.4)
Cyfra211low6 (19.4)4 (20.0)1.0004.9 (17.8)2.4 (15.1)0.802
high25 (80.6)16 (80.0)22.8 (82.2)13.8 (84.9)

KPS, Karnofsky performance status; SM, sensitive mutation; LT, local treatment; PD, progress disease; TRT, thoracic radiotherapy; PLR, platelet to lymphocyte ratio; NLR, neutrophils to lymphocyte ratio; SII, systemic inflammatory index; TPSA, tissue polypeptide specific antigen; SCC, squamous cell carcinoma antigen; CEA, carcinoembryonic antigen.

  31 in total

1.  Consolidative Local Ablative Therapy Improves the Survival of Patients With Synchronous Oligometastatic NSCLC Harboring EGFR Activating Mutation Treated With First-Line EGFR-TKIs.

Authors:  Qinghua Xu; Fei Zhou; Hui Liu; Tao Jiang; Xuefei Li; Yaping Xu; Caicun Zhou
Journal:  J Thorac Oncol       Date:  2018-05-29       Impact factor: 15.609

2.  Definitive primary therapy in patients presenting with oligometastatic non-small cell lung cancer.

Authors:  Ravi B Parikh; Angel M Cronin; David E Kozono; Geoffrey R Oxnard; Raymond H Mak; David M Jackman; Peter C Lo; Elizabeth H Baldini; Bruce E Johnson; Aileen B Chen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-05-24       Impact factor: 7.038

3.  Phase II study of stereotactic body radiotherapy to primary tumor and metastatic locations in oligometastatic nonsmall-cell lung cancer patients.

Authors:  C Collen; N Christian; D Schallier; M Meysman; M Duchateau; G Storme; M De Ridder
Journal:  Ann Oncol       Date:  2014-08-11       Impact factor: 32.976

4.  Stereotactic ablative radiotherapy versus standard of care palliative treatment in patients with oligometastatic cancers (SABR-COMET): a randomised, phase 2, open-label trial.

Authors:  David A Palma; Robert Olson; Stephen Harrow; Stewart Gaede; Alexander V Louie; Cornelis Haasbeek; Liam Mulroy; Michael Lock; George B Rodrigues; Brian P Yaremko; Devin Schellenberg; Belal Ahmad; Gwendolyn Griffioen; Sashendra Senthi; Anand Swaminath; Neil Kopek; Mitchell Liu; Karen Moore; Suzanne Currie; Glenn S Bauman; Andrew Warner; Suresh Senan
Journal:  Lancet       Date:  2019-04-11       Impact factor: 79.321

5.  Increased biologically effective dose (BED) to the primary tumor is associated with improved survival in patients with oligometastatic NSCLC.

Authors:  Ahsan Farooqi; Ethan B Ludmir; Kyle G Mitchell; Mara B Antonoff; Chad Tang; Percy Lee; Joe Chang; Yasir Elamin; Daniel R Gomez; Saumil J Gandhi
Journal:  Radiother Oncol       Date:  2021-08-19       Impact factor: 6.280

6.  Long-Term Outcomes of a Phase 2 Trial of Chemotherapy With Consolidative Radiation Therapy for Oligometastatic Non-Small Cell Lung Cancer.

Authors:  W Jeffrey Petty; James J Urbanic; Tamjeed Ahmed; Ryan Hughes; Beverly Levine; Kyle Rusthoven; Michael Papagikos; Jimmy R Ruiz; Brian E Lally; Michael Chan; Hollins Clark; Ralph B D'Agostino; A William Blackstock
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-07-10       Impact factor: 7.038

7.  EORTC Lung Cancer Group survey on the definition of NSCLC synchronous oligometastatic disease.

Authors:  Antonin Levy; Lizza E L Hendriks; Thierry Berghmans; Corinne Faivre-Finn; Matteo GiajLevra; Niccolò GiajLevra; Baktiar Hasan; Alessia Pochesci; Nicolas Girard; Laurent Greillier; Sylvie Lantuéjoul; John Edwards; Mary O'Brien; Martin Reck; Benjamin Besse; Silvia Novello; Anne-Marie C Dingemans
Journal:  Eur J Cancer       Date:  2019-10-28       Impact factor: 9.162

8.  Pembrolizumab After Completion of Locally Ablative Therapy for Oligometastatic Non-Small Cell Lung Cancer: A Phase 2 Trial.

Authors:  Joshua M Bauml; Rosemarie Mick; Christine Ciunci; Charu Aggarwal; Christiana Davis; Tracey Evans; Charuhas Deshpande; Linda Miller; Pooja Patel; Evan Alley; Christina Knepley; Faith Mutale; Roger B Cohen; Corey J Langer
Journal:  JAMA Oncol       Date:  2019-09-01       Impact factor: 31.777

9.  Systemic immune-inflammation index predicting chemoradiation resistance and poor outcome in patients with stage III non-small cell lung cancer.

Authors:  Yu-Suo Tong; Juan Tan; Xi-Lei Zhou; Ya-Qi Song; Ying-Jian Song
Journal:  J Transl Med       Date:  2017-10-31       Impact factor: 5.531

10.  CEA and CYFRA 21-1 as prognostic biomarker and as a tool for treatment monitoring in advanced NSCLC treated with immune checkpoint inhibitors.

Authors:  Filippo G Dall'Olio; Francesca Abbati; Francesco Facchinetti; Maria Massucci; Barbara Melotti; Anna Squadrilli; Sebastiano Buti; Francesca Formica; Marcello Tiseo; Andrea Ardizzoni
Journal:  Ther Adv Med Oncol       Date:  2020-10-31       Impact factor: 8.168

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