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Research ArticleOriginal Article

Peripheral blood indices to predict PFS/OS with anlotinib as a subsequent treatment in advanced small-cell lung cancer

Cuicui Zhang, Jing Wang, Xinyue Wang, Zhaoting Meng, Ying Cheng and Kai Li
Cancer Biology & Medicine August 2022, 19 (8) 1249-1258; DOI: https://doi.org/10.20892/j.issn.2095-3941.2020.0727
Cuicui Zhang
1Department of Thoracic Oncology Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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Jing Wang
1Department of Thoracic Oncology Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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Xinyue Wang
1Department of Thoracic Oncology Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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Zhaoting Meng
1Department of Thoracic Oncology Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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Ying Cheng
2Jilin Cancer Hospital, Changchun 130021, China
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  • For correspondence: likai_fnk{at}163.com chengying{at}csco.org.cn
Kai Li
1Department of Thoracic Oncology Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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  • ORCID record for Kai Li
  • For correspondence: likai_fnk{at}163.com chengying{at}csco.org.cn
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    Figure 1

    Progression-free survival and overall survival with basal factors in the anlotinib group (multivariate analysis).

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    Figure 2

    Progression-free survival and overall survival with adverse reactions in the anlotinib group (multivariate analysis).

Tables

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    Table 1

    Univariate Cox analysis of progression-free survival and overall survival in patients with small-cell lung cancer

    Clinical characteristicsNumberPFS (days)OS (days)HR (95% CI)P value
    PFSOSPFSOSPFSOSPFSOS
    RBC (×1012/L)–0.451–0.004
    –≤ 3.95
    > 3.95
    –45
    35
    –215 ± 21
    379 ± 41
    (0.261, 0.778)
    Hb (g/L)–0.465–0.023
    –≤ 131
    > 131
    –61
    19
    –248 ± 22
    421 ± 55
    (0.240, 0.899)
    Serum albumin (g/L)–0.548–0.029
    –≤ 38.9
    > 38.9
    –24
    57
    –193 ± 33
    326 ± 30
    (0.319, 0.939)
    CEA (μg/L)–2.406–0.002
    –≤ 11.82
    > 11.82
    –59
    22
    –339 ± 33
    182 ± 20
    (1.374, 4.213)
    NSE (μg/L)–3.253–< 0.001
    –≤ 26.42
    > 26.42
    –26
    55
    –444 ± 48
    210 ± 19
    (1.742, 6.077)
    Blood glucose (mmol/L)1.705–0.028–
    ≤ 5.395
    > 5.395
    –46
    35
    –177 ± 22
    116 ± 14
    –(1.058, 2.747)
    Plasma globulin (g/L)1.793–0.042–
    ≤ 28.36
    > 28.36
    –40
    28
    –205 ± 33
    126 ± 16
    –(1.020, 3.152)
    WBC (×109/L)1.694–0.034–
    ≤ 5.135
    > 5.135
    –37
    43
    –181 ± 22
    119 ± 14
    –(1.041, 2.758)
    Neutrophils (×109/L)1.6992.0230.0320.008
    ≤ 3.52
    > 3.52
    38
    42
    183 ± 22
    115 ± 14
    326 ± 26
    239 ± 32
    (1.048, 2.753)(1.198, 3.415)
    GGT (U/L)2.2552.1990.0020.004
    ≤ 39.5
    > 39.5
    36
    >42
    201 ± 25
    105 ± 14
    347 ± 31
    230 ± 31
    (1.337, 3.804)(1.287, 3.757)
    INR2.3782.3440.0020.003
    ≤ 1.045
    > 1.045
    60
    21
    171 ± 18
    89 ± 14
    332 ± 31
    187 ± 32
    (1.337, 3.804)(1.503, 4.273)
    PT (s)1.9662.2180.0110.008
    ≤ 11.25
    > 11.25
    30
    51
    197 ± 28
    121 ± 13
    364 ± 41
    239 ± 25
    (1.171, 3.302)(1.227, 4.009)
    NLR5.8822.198< 0.0010.003
    ≤ 7.75
    > 7.75
    ≤ 4.03
    > 4.03
    74
    6
    45
    35
    160 ± 15
    44 ± 17
    363 ± 36
    209 ± 27
    (2.417, 4.314)(1.310, 3.686)
    AST (U/L)1.9042.0980.0210.004
    ≤ 19.15
    > 19.15
    ≤ 26.75
    > 26.75
    25
    56
    53
    28
    211 ± 35
    123 ± 12
    350 ± 33
    193 ± 29
    (1.103, 3.287)(1.252, 3.516)
    LDH (U/L)1.8352.4400.0140.002
    ≤ 254.65
    > 254.65
    ≤ 210
    > 210
    51
    29
    34
    46
    181 ± 21
    104 ± 17
    406 ± 45
    213 ± 21
    (1.132, 2.973)(1.404, 4.240)
    Fbg (g/L)1.8173.7200.026< 0.001
    ≤ 3.395
    > 3.395
    ≤ 4.645
    > 4.645
    26
    55
    59
    22
    200 ± 29
    126 ± 15
    348 ± 31
    147 ± 24
    (1.073, 3.075)(2.111, 6.557)

    “−” indicates an index that is not a significant factor. PFS, progression-free survival; OS, overall survival; HR, hazard ratio; RBC, red blood cell; Hb, hemoglobin; CEA, carcinoembryonic antigen; NSE, neuron-specific enolase; WBC, white blood cell; GGT, glutamyl transpeptidase; INR, international normalized ratio; PT, prothrombin time; NLR, neutrophil to lymphocyte ratio; AST, aspartate aminotransferase; LDH, lactate dehydrogenase; Fbg, fibrinogen.

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      Table 2

      Univariate Cox analysis of PFS and OS with adverse events in the anlotinib group

      AEsNumberPFS (days)OS (days)HRP value
      PFSOSPFSOS
      Oral mucositis0.368–0.009–
       Yes
       No
      15
      66
      261 ± 40
      131 ± 14
      –(0.175, 0.776)
      Leukopenia0.551–0.044–
       Yes
       No
      19
      62
      210 ± 37
      128 ± 12
      –(0.308, 0.983)
      Elevated NLR1.790–0.020–
       Yes
       No
      30
      51
      106 ± 16
      175 ± 19
      –(1.096, 2.923)
      Hypophosphatemia0.283–0.015–
       Yes
       No
      8
      73
      293 ± 63
      132 ± 13
      (0.102, 0.781)
      Hypercholesterolemia–0.476–0.029
       Yes
       No
      20
      61
      414 ± 58
      237 ± 19
      (0.244, 0.928)
      Elevated lipase–2.214–0.040
       Yes
       No
      20
      61
      172 ± 35
      311 ± 28
      (1.035, 4.738)
      Hypoproteinemia–2.882–0.004
       Yes
       No
      10
      71
      133 ± 33
      316 ± 27
      (1.396, 5.950)
      Elevated amylase–3.745–0.008
       Yes
       No
      5
      76
      134 ± 19
      307 ± 27
      (1.415, 9.909)
      Elevated GGT1.7202.1390.0480.008
       Yes
       No
      21
      60
      107 ± 20
      164 ± 18
      180 ± 32
      331 ± 30
      (1.005, 2.943)(1.224, 3.738)

      “−” means this index is not a significant factor. AEs, adverse events; TSH, Thyroid stimulating hormone.

        • View popup
        Table 3

        Multivariate Cox regression analysis of PFS and OS in patients with SCLC

        PFSBSEWaldSigExp (B)95% CI
        NLR (≤ 7.75, > 7.75)2.3060.64812.6730.00010.0302.81835.691
        LDH (≤ 254.65 U/L, > 254.65 U/L)0.7360.3753.8470.0502.0871.0014.352
        Elevated GGT (Yes/no)0.7920.3046.7880.0092.2071.2174.003
        Hypophosphatemia (Yes/no)–1.2230.5834.4770.0340.2910.0930.913
        OSBSEWaldSigExp(B)95% CI
        AST (≤ 26.75 U/L, > 26.75 U/L)0.7810.3136.2170.0132.1841.1824.037
        NSE (≤ 26.42 ng/mL, > 26.42 ng/mL)1.0650.3917.4390.0062.9021.3506.240
        Fbg (≤ 4.645 g/L, > 4.645 g/L)0.8280.4233.8300.0502.2881.0005.241
        Elevated GGT (Yes, no)1.3440.39711.4780.0013.8361.7628.348
        Hypercholesterolemia (Yes, no)–0.9410.3616.7780.0090.3900.1920.793
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      Peripheral blood indices to predict PFS/OS with anlotinib as a subsequent treatment in advanced small-cell lung cancer
      Cuicui Zhang, Jing Wang, Xinyue Wang, Zhaoting Meng, Ying Cheng, Kai Li
      Cancer Biology & Medicine Aug 2022, 19 (8) 1249-1258; DOI: 10.20892/j.issn.2095-3941.2020.0727

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      Peripheral blood indices to predict PFS/OS with anlotinib as a subsequent treatment in advanced small-cell lung cancer
      Cuicui Zhang, Jing Wang, Xinyue Wang, Zhaoting Meng, Ying Cheng, Kai Li
      Cancer Biology & Medicine Aug 2022, 19 (8) 1249-1258; DOI: 10.20892/j.issn.2095-3941.2020.0727
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      Keywords

      • Small-cell lung cancer
      • anlotinib
      • predictive factors
      • PFS
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