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Research ArticleOriginal Article

Somatic copy number alterations are predictive of progression-free survival in patients with lung adenocarcinoma undergoing radiotherapy

Fan Kou, Lei Wu, Yan Guo, Bailu Zhang, Baihui Li, Ziqi Huang, Xiubao Ren and Lili Yang
Cancer Biology & Medicine May 2022, 19 (5) 685-695; DOI: https://doi.org/10.20892/j.issn.2095-3941.2020.0728
Fan Kou
1Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
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Lei Wu
1Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
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Yan Guo
1Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
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Bailu Zhang
1Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
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Baihui Li
1Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
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Ziqi Huang
1Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
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Xiubao Ren
1Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
2Department of Biotherapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin 300060, China
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  • For correspondence: yanglili{at}tjmuch.com renxiubao{at}tjmuch.com
Lili Yang
1Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
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  • ORCID record for Lili Yang
  • For correspondence: yanglili{at}tjmuch.com renxiubao{at}tjmuch.com
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  • Figure 1
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    Figure 1

    Survival analysis with respect to SCNAs in patients with NSCLC undergoing radiotherapy from TCGA and validation cohort. (A) OS and PFS in patients with NSCLC undergoing radiotherapy from TCGA cohort. (B) OS and PFS in patients with LUAD from TCGA cohort. (C) OS and PFS in patients with LUSC from TCGA cohort. (D) OS and PFS in patients with LUAD from the validation cohort. *P < 0.05.

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    Figure 2

    The distribution of SCNAs in different histologic subtypes and TNM stages. (A) Distribution of SCNA levels in LUAD and LUSC. (B) Distribution of SCNA levels in 4 TNM stages. (C) Comparison of SCNA levels among TNM stages I–IV in patients with LUAD. (D) Comparison of SCNA levels among TNM stages I–IV in patients with LUSC. *P < 0.05.

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    Figure 3

    Survival analysis of SCNAs in patients with LUAD undergoing radiotherapy, according to TNM stage. (A) OS and PFS in stage I. (B) OS and PFS in stage II. (C) OS and PFS in stage III. (D) OS and PFS in stage IV. *P < 0.05.

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    Figure 4

    Prognostic nomogram for patients with LUAD undergoing radiotherapy. (A) Nomogram showing the assessment of PFS with SCNAs and TNM. (B) Nomogram for predicting 1-year, 3-year, and 5-year PFS in the RT-LUAD cohort. Calibration plot showing the AUC of the predictive model for PFS. (C) Calibration curve for predicting PFS at 1 year, 3 years, and 5 years in patients with LUAD.

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    Figure 5

    Underlying pathways in patients with LUAD with high vs. low SCNA levels. (A & B) GSEA used to identify KEGG in the low SCNA group and high SCNA group, respectively. According to the false discovery rate q-value, the 5 most significant pathways are shown. (C) Association of the key genes in the cell cycle pathway with SCNAs in the low and high SCNA groups in TCGA cohort. (D) Expression levels of the key genes in the cell cycle pathway (PRKDC, CHEK1, CDC25A, ORC6, and MCM3) in the low and high SCNA groups in TCGA cohort. (E) Expression levels of the key genes in the cell cycle pathway (PRKDC, CHEK1, CDC25A, ORC6, and MCM3) in the low and high SCNA groups, detected in 15 patients with LUAD by RT-qPCR. Significance is given as *P < 0.05, **P < 0.01, ***P < 0.001 and ****P < 0.0001.

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    Table 1

    Clinical characteristics of patients with LUAD undergoing radiotherapy (n = 20)

    CharacteristicsLUAD (n = 20)
    Gender, n (%)
     Male9 (45.00%)
     Female11 (55.00%)
    Age, y, n (%)
     < 609 (45.00%)
     ≥ 6011 (55.00%)
    Tumor stage, n (%)
     I5 (25.00%)
     II7 (35.00%)
     III7 (35.00%)
     IV1 (5.00%)
    Progression, n (%)
     No3 (15.00%)
     Yes17 (85.00%)
    Survival, n (%)
     No9 (45.00%)
     Yes10 (50.00%)
     NA1 (5.00%)
    • View popup
    Table 2

    Clinical characteristics of patients undergoing radiotherapy

    CharacteristicsTotal (n = 486)LUAD (n = 226)LUSC (n = 260)
    Gender, n (%)
     Male185 (38.07%)109 (48.23%)192 (73.85%)
     Female301 (61.93%)117 (51.77%)68 (26.15%)
    Age, y, n (%)
     < 60103 (21.19%)60 (26.55%)43 (16.54%)
     ≥ 60374 (76.96%)161 (71.24%)213 (81.92%)
     NA9 (1.85%)5 (2.21%)4 (1.54%)
    Tumor stage, n (%)
     I258 (53.09%)133 (58.85%)125 (48.08%)
     II135 (27.78%)47 (20.80%)88 (33.84%)
     III70 (14.40%)29 (12.83%)41 (15.77%)
     IV16 (3.29%)12 (5.31%)4 (1.54%)
     NA7 (1.44%)5 (2.21%)2 (0.77%)
    NSCLC, n (%)
     LUAD226 (46.50%)226 (100%)0
     LUSC260 (53.50%)0260 (100%)
    Progression, n (%)
     No322 (66.26%)135 (59.73%)187 (71.92%)
     Yes260 (33.74%)91 (40.27%)73 (28.08%)
    Survival, n (%)
     No186 (38.27%)78 (34.51%)108 (41.54%)
     Yes300 (61.73%)148 (65.49%)152 (58.46%)
    • View popup
    Table 3

    Factors associated with PFS in patients with LUAD undergoing radiotherapy (n = 216)

    CharacteristicsHR (95% CI)P value
    Univariate analysis
     Gender (male vs. female)0.8646 (0.5654–1.322)0.5020
     Age (< 60 vs. ≥ 60)1.2771 (0.767–2.126)0.3470
     SCNA (low vs. high)2.0948 (1.366–3.211)0.0007*
     TNM (I vs. II)1.8650 (1.1305–3.077)0.0147*
     TNM (I vs. III)1.2912 (0.6514–2.559)0.4642
     TNM (I vs. IV)2.2676 (0.9634–5.337)0.0608
    Multivariate analysis
     Gender (male vs. female)0.8253 (0.5325–1.279)0.3902
     Age (< 60 vs. ≥ 60)1.4474 (0.8628–2.428)0.1613
     SCNA (low vs. high)2.0756 (1.3264–3.248)0.0014*
     TNM (I vs. II)1.5938 (0.9552–2.659)0.0743
     TNM (I vs. III)1.3074 (0.6570–2.602)0.4452
     TNM (I vs. IVa)1.7708 (0.7350–4.266)0.2028

    *P < 0.05 was considered significant.

    Supplementary Materials

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    Somatic copy number alterations are predictive of progression-free survival in patients with lung adenocarcinoma undergoing radiotherapy
    Fan Kou, Lei Wu, Yan Guo, Bailu Zhang, Baihui Li, Ziqi Huang, Xiubao Ren, Lili Yang
    Cancer Biology & Medicine May 2022, 19 (5) 685-695; DOI: 10.20892/j.issn.2095-3941.2020.0728

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    Somatic copy number alterations are predictive of progression-free survival in patients with lung adenocarcinoma undergoing radiotherapy
    Fan Kou, Lei Wu, Yan Guo, Bailu Zhang, Baihui Li, Ziqi Huang, Xiubao Ren, Lili Yang
    Cancer Biology & Medicine May 2022, 19 (5) 685-695; DOI: 10.20892/j.issn.2095-3941.2020.0728
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    Keywords

    • SCNA
    • radiotherapy
    • Lung cancer
    • progression-free survival
    • immune infiltration

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