TY - JOUR
T1 - Creation of a primary tumor tissue expression biomarker-augmented prognostic model for patients with metastatic renal cell carcinoma
AU - Bearrick, Elizabeth N.
AU - Packiam, Vignesh
AU - Bhindi, Bimal
AU - Lohse, Christine M.
AU - Cheville, John C.
AU - Mason, Ross J.
AU - Tollefson, Matthew
AU - Harrington, Susan
AU - Dong, Haidong
AU - Parker, Alexander S.
AU - Boorjian, Stephen A.
AU - Thompson, R. Houston
AU - Leibovich, Bradley C.
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2021/2
Y1 - 2021/2
N2 - Background: Clinical and pathological factors alone have limited prognostic ability in patients with metastatic clear cell renal cell carcinoma (ccRCC). Bim, a downstream pro-apoptotic molecule in the PD-1 signaling pathway, has recently been associated with survival in other malignancies. We sought to determine if tissue biomarkers including Bim, added to a previously reported clinical metastases score, improved prediction of cancer-specific survival (CSS) for patients with metastatic ccRCC. Methods: Patients with metastatic ccRCC who underwent nephrectomy between 1990 and 2004 were identified using our institutional registry. Sections from paraffin-embedded primary tumor tissue blocks were used for immunohistochemistry staining for Bim, PD-1, B7-H1 (PD-L1), B7-H3, CA-IX, IMP3, Ki67, and survivin. Biomarkers that were significantly associated with CSS after adjusting for the metastases score were used to develop a biomarker-specific multivariable model using a bootstrap resampling approach and forward selection. Predictive ability was summarized using a bootstrap-corrected c-index. Results: The cohort included 602 patients: 192 (32%) with metastases at diagnosis and 410 (68%) who developed metastases after nephrectomy. Median follow-up was 9.6 years (IQR 4.2–12.8), during which 504 patients died of RCC. Bim, IMP3, Ki67, and survivin expression were significantly associated with CSS after adjusting for the metastases score, and were eligible for biomarker-specific model inclusion. After variable selection, high Bim (hazard ratio [HR] = 1.44; 95% confidence interval [CI] 1.16–1.78; P <0.001), high survivin (HR = 1.35; 95% CI 1.08–1.68; P = 0.008), and the metastases score (HR = 1.13 per 1 point; 95% CI 1.10–1.16; P <0.001) were retained in the final multivariable model (c-index = 0.69). Conclusion: We created a prognostic model combining the clinical metastases score and 2 primary tumor tissue expression biomarkers, Bim and survivin, for patients with metastatic renal cell carcinoma who underwent nephrectomy.
AB - Background: Clinical and pathological factors alone have limited prognostic ability in patients with metastatic clear cell renal cell carcinoma (ccRCC). Bim, a downstream pro-apoptotic molecule in the PD-1 signaling pathway, has recently been associated with survival in other malignancies. We sought to determine if tissue biomarkers including Bim, added to a previously reported clinical metastases score, improved prediction of cancer-specific survival (CSS) for patients with metastatic ccRCC. Methods: Patients with metastatic ccRCC who underwent nephrectomy between 1990 and 2004 were identified using our institutional registry. Sections from paraffin-embedded primary tumor tissue blocks were used for immunohistochemistry staining for Bim, PD-1, B7-H1 (PD-L1), B7-H3, CA-IX, IMP3, Ki67, and survivin. Biomarkers that were significantly associated with CSS after adjusting for the metastases score were used to develop a biomarker-specific multivariable model using a bootstrap resampling approach and forward selection. Predictive ability was summarized using a bootstrap-corrected c-index. Results: The cohort included 602 patients: 192 (32%) with metastases at diagnosis and 410 (68%) who developed metastases after nephrectomy. Median follow-up was 9.6 years (IQR 4.2–12.8), during which 504 patients died of RCC. Bim, IMP3, Ki67, and survivin expression were significantly associated with CSS after adjusting for the metastases score, and were eligible for biomarker-specific model inclusion. After variable selection, high Bim (hazard ratio [HR] = 1.44; 95% confidence interval [CI] 1.16–1.78; P <0.001), high survivin (HR = 1.35; 95% CI 1.08–1.68; P = 0.008), and the metastases score (HR = 1.13 per 1 point; 95% CI 1.10–1.16; P <0.001) were retained in the final multivariable model (c-index = 0.69). Conclusion: We created a prognostic model combining the clinical metastases score and 2 primary tumor tissue expression biomarkers, Bim and survivin, for patients with metastatic renal cell carcinoma who underwent nephrectomy.
KW - Kidney neoplasms
KW - Metastasis
KW - Nephrectomy
KW - Renal cell carcinoma
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U2 - 10.1016/j.urolonc.2020.08.028
DO - 10.1016/j.urolonc.2020.08.028
M3 - Article
C2 - 33309297
AN - SCOPUS:85097787010
SN - 1078-1439
VL - 39
SP - 135.e1-135.e8
JO - Urologic Oncology: Seminars and Original Investigations
JF - Urologic Oncology: Seminars and Original Investigations
IS - 2
ER -