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Research ArticleClinical Investigation

Pretreatment Levels of Soluble Tumor Necrosis Factor Receptor 1 and Hepatocyte Growth Factor Predict Toxicity and Overall Survival After 90Y Radioembolization: Potential Novel Application of Biomarkers for Personalized Management of Hepatotoxicity

Matthew M. Cousins, Theresa P. Devasia, Christopher M. Maurino, Justin Mikell, Matthew J. Schipper, Ravi K. Kaza, Theodore. S. Lawrence, Kyle C. Cuneo and Yuni K. Dewaraja
Journal of Nuclear Medicine June 2022, 63 (6) 882-889; DOI: https://doi.org/10.2967/jnumed.121.262447
Matthew M. Cousins
1Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; and
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Theresa P. Devasia
1Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; and
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Christopher M. Maurino
1Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; and
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Justin Mikell
1Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; and
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Matthew J. Schipper
1Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; and
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Ravi K. Kaza
2Department of Radiology, University of Michigan, Ann Arbor, Michigan
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Theodore. S. Lawrence
1Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; and
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Kyle C. Cuneo
1Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; and
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Yuni K. Dewaraja
2Department of Radiology, University of Michigan, Ann Arbor, Michigan
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  • FIGURE 1.
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    FIGURE 1.

    Example baseline MRI (A) and 90Y PET/CT (B) after treatment (3.2 GBq) are shown. Lesion contours (green) were defined on MRI and applied to coregistered PET/CT. Nontumoral liver (red) accounts for 1-cm expansion around lesions to address PET resolution. Dose map (C) and DVH (D) are provided for treatment with MLD 24 Gy and DC90 48 Gy.

  • FIGURE 2.
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    FIGURE 2.

    Scatterplots of log-transformed sTNFR1 (A) and HGF (B) vs. ΔALBI. Solid red line represents simple linear fit.

  • FIGURE 3.
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    FIGURE 3.

    Kaplan–Meier curves for overall survival stratified by median value of sTNFR1 (A) and HGF (B) with log-rank P value.

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    TABLE 1.

    Summary of Patient Characteristics, Radiation Dose, and Outcomes

    VariableSummary
    n43
    Age at 90Y (y)65.0 (37.0–82.0)
    Female sex17 (39.5)
    White race38 (88.4)
    Baseline cirrhosis16 (37.2)
    Cancer details—
     Primary21 (48.8)
     HCC16 (37.2)
     Metastatic22 (51.2)
    Treatment history—
     Prior liver-directed therapy15 (34.9)
     Prior systemic therapy26 (60.0)
     Two 90Y treatments14 (32.6)
    Baseline liver scores—
     Child–Pugh—
      527 (62.8)
      611 (25.6)
      71 (2.3)
      8Not applicable
      91 (2.3)
      Unavailable3 (7.0)
     MELD-NA9.0 (6.4–18.7)
     Baseline ALBI−2.70 (−3.38 to −1.28)
    Dose metrics (Gy)—
     Mean dose50.2 (1.2–132.1)
     Mean BED145.1 (1.3–770.5)
     DC100.9 (0.0–40.0)
     DC90128.7 (1.7–345.1)
     DC700cc15.7 (0.2–203.1)
    Baseline cytokines (pg/mL)—
     sTNFR11,736.5 (924.4–5,518.0)
     HGF2,557.7 (1,328.1–6,876.2)
    Outcomes—
     Toxicity follow-up (mo)6.0 (3.0–6.0)
     ΔALBI (n = 34)0.3 (−0.3 to 1.9)
     Positive ΔALBI (n = 34)28 (82.4)
     Overall survival follow-up (mo)10.9 (1.2–41.8)
     Number of deaths25 (58.1)
    • Continuous factors are summarized as median and range; and categoric factors are summarized as number and percentage.

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    TABLE 2.

    Univariate Linear Models for ΔALBI

    ModelCovariateCoefficientR295% CI LB95% CI UBP
    1MLD0.0010.004−0.0040.0060.737
    2BED0.0000.0001−0.0010.0010.951
    3DC100.0010.0002−0.0170.0180.940
    4DC30−0.0010.001−0.0090.0070.866
    5DC900.0010.028−0.0010.0030.348
    6DC700cc0.0010.004−0.0020.0030.734
    7DC10 − DC90−0.0010.029−0.0030.0010.333
    8(DC10 − DC90)/DC500.0010.013−0.0020.0050.524
    9Log(sTNFR1)0.4770.1190.0290.9250.045
    10Log(HGF)0.5720.2220.2010.9440.005
    11Pre-90Y liver therapies (n)−0.0200.002−0.1710.1300.792
    12Cirrhosis0.1950.044−0.1220.5130.236
    13Metastatic−0.0820.008−0.4000.2360.615
    14Baseline ALBI score0.0140.0001−0.3850.4130.947
    15Baseline Child–Pugh = 60.0770.005−0.3070.4620.696
    Baseline Child–Pugh = 7−0.006−0.9680.9560.990
    16Pre-90Y systemic therapies (n)−0.0870.042−0.2320.0580.247
    • LB = lower bound; UB = upper bound.

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    TABLE 3.

    Multivariable Linear Models for ΔALBI

    ModelCovariateCoefficient95% CI LB95% CI UBP
    1MLD0.003−0.0020.0080.319
    Log(sTNFR1)0.6220.0991.1450.027
    Baseline ALBI score−0.166−0.5830.2510.442
    Prior liver-directed therapy−0.026−0.3620.3110.883
    2MLD0.003−0.0010.0080.181
    Log(HGF)0.7090.2851.1330.003
    Baseline ALBI score−0.143−0.5140.2290.458
    Prior liver-directed therapy0.079−0.2460.4050.636
    3DC900.002−0.00040.0040.124
    Log(sTNFR1)0.6280.1321.1250.019
    Baseline ALBI score−0.081−0.4930.3310.702
    Prior liver-directed therapy−0.034−0.3590.2900.837
    4DC900.002−0.000030.0040.064
    Log(HGF)0.7060.3061.1060.002
    Baseline ALBI score−0.045−0.4140.3240.813
    Prior liver-directed therapy0.065−0.2450.3750.686
    • LB = lower bound; UB = upper bound.

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    TABLE 4.

    Median Overall Survival Estimates, 95% CIs, and Number of Deaths by Median Values of Each Cytokine

    CytokineMedian overall survival (mo)95% CI LB95% CI UBDeaths (n)Deaths (n)
    sTNFR1 ≤ median33.310.9NA1045.5
    sTNFR1 > median10.95.9NA1571.4
    HGF ≤ median33.310.9NA940.9
    HGF > median9.86.4NA1676.2
    • LB = lower bound; UB = upper bound.

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    TABLE 5.

    Univariate and Multivariable Cox Proportional Hazards Model Results for Overall Survival

    ModelCovariateHR95% CI LB95% CI UBPc-index
    1Log(sTNFR1)12.273.5442.53<0.0010.71
    2Log(HGF)7.482.4223.08<0.0010.69
    3MLD (Gy)0.990.981.010.4030.58
    4DC90 (Gy)0.990.991.000.3830.55
    5Log(sTNFR)18.764.9571.14<0.0010.71
    Metastatic2.270.875.930.093
    DC90 (Gy)0.990.991.000.521
    6Log(HGF)15.323.9359.74<0.0010.72
    Metastatic2.981.018.810.049
    DC90 (Gy)0.990.991.000.516
    7Log(sTNFR)19.325.1272.86<0.0010.70
    Metastatic2.360.926.050.075
    MLD (Gy)0.990.981.010.348
    8Log(HGF)15.604.0560.14<0.0010.72
    Metastatic3.221.059.900.042
    MLD (Gy)0.990.981.010.426
    • LB = lower bound; UB = upper bound.

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Journal of Nuclear Medicine: 63 (6)
Journal of Nuclear Medicine
Vol. 63, Issue 6
June 1, 2022
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Pretreatment Levels of Soluble Tumor Necrosis Factor Receptor 1 and Hepatocyte Growth Factor Predict Toxicity and Overall Survival After 90Y Radioembolization: Potential Novel Application of Biomarkers for Personalized Management of Hepatotoxicity
Matthew M. Cousins, Theresa P. Devasia, Christopher M. Maurino, Justin Mikell, Matthew J. Schipper, Ravi K. Kaza, Theodore. S. Lawrence, Kyle C. Cuneo, Yuni K. Dewaraja
Journal of Nuclear Medicine Jun 2022, 63 (6) 882-889; DOI: 10.2967/jnumed.121.262447

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Pretreatment Levels of Soluble Tumor Necrosis Factor Receptor 1 and Hepatocyte Growth Factor Predict Toxicity and Overall Survival After 90Y Radioembolization: Potential Novel Application of Biomarkers for Personalized Management of Hepatotoxicity
Matthew M. Cousins, Theresa P. Devasia, Christopher M. Maurino, Justin Mikell, Matthew J. Schipper, Ravi K. Kaza, Theodore. S. Lawrence, Kyle C. Cuneo, Yuni K. Dewaraja
Journal of Nuclear Medicine Jun 2022, 63 (6) 882-889; DOI: 10.2967/jnumed.121.262447
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