Dataset Information

Longitudinal Tumor Size and Neutrophil-to-Lymphocyte Ratio Are Prognostic Biomarkers for Overall Survival in Patients With Advanced Non-Small Cell Lung Cancer Treated With Durvalumab.

ABSTRACT: Therapy optimization remains an important challenge in the treatment of advanced non-small cell lung cancer (NSCLC). We investigated tumor size (sum of the longest diameters (SLD) of target lesions) and neutrophil-to-lymphocyte ratio (NLR) as longitudinal biomarkers for survival prediction. Data sets from 335 patients with NSCLC from study NCT02087423 and 202 patients with NSCLC from study NCT01693562 of durvalumab were used for model qualification and validation, respectively. Nonlinear Bayesian joint models were designed to assess the impact of longitudinal measurements of SLD and NLR on patient subgrouping (by Response Evaluation Criteria in Solid Tumors 1.1 criteria at 3 months after therapy start), long-term survival, and precision of survival predictions. Various validation scenarios were investigated. We determined a more distinct patient subgrouping and a substantial increase in the precision of survival estimates after the incorporation of longitudinal measurements. The highest performance was achieved using a multivariate SLD and NLR model, which enabled predictions of NSCLC clinical outcomes.

SUBMITTER: Gavrilov S

PROVIDER: S-EPMC7825193 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Longitudinal Tumor Size and Neutrophil-to-Lymphocyte Ratio Are Prognostic Biomarkers for Overall Survival in Patients With Advanced Non-Small Cell Lung Cancer Treated With Durvalumab.

Gavrilov Sergey S Zhudenkov Kirill K Helmlinger Gabriel G Dunyak James J Peskov Kirill K Aksenov Sergey S

CPT: pharmacometrics & systems pharmacology 20201221 1

Therapy optimization remains an important challenge in the treatment of advanced non-small cell lung cancer (NSCLC). We investigated tumor size (sum of the longest diameters (SLD) of target lesions) and neutrophil-to-lymphocyte ratio (NLR) as longitudinal biomarkers for survival prediction. Data sets from 335 patients with NSCLC from study NCT02087423 and 202 patients with NSCLC from study NCT01693562 of durvalumab were used for model qualification and validation, respectively. Nonlinear Bayesia ...[more]

PMID: 33319498

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Project description:Elevated neutrophil-to-lymphocyte (NLR) and platelet-to-lymphocyte ratios (PLR) may represent markers of a suboptimal host immune response to cancer and have been shown to correlate with prognosis in multiple tumor types across different treatment modalities, including radiation therapy. Limited data suggest that NLR may predict for survival and disease control in patients receiving selective internal radiation therapy (SIRT). The correlation between clinical outcomes and change in NLR and PLR after SIRT has not been evaluated.We retrospectively reviewed 339 consecutive patients with primary (n=37) or metastatic (n=79) liver cancer treated with SIRT from 2006 to 2014. Complete blood counts with differential were available for 116 patients both before and after (median, 29 and 20 days, respectively) SIRT. Survival and progression were calculated from date of initial SIRT. Patient and tumor characteristics evaluated for ability to predict overall survival (OS) and progression free survival (PFS) included pre- and post-treatment neutrophil, platelet, and lymphocyte counts (LCs), as well as NLR, PLR, and relative change in NLR and PLR. Cutoff values were determined for variables that were significant on multivariate analysis (MVA) for OS and/or PFS.Median follow-up of surviving patients was 12 months. Median OS was 8 months from SIRT and 20 months from date of liver metastasis diagnosis. Significant factors on univariate analysis (UVA) for both lower OS and PFS included higher post-treatment neutrophil count (NC), higher post-treatment NLR, higher liver tumor volume, higher percentage liver tumor burden, and worse Eastern Cooperative Oncology Group (ECOG) performance status. Significant factors on MVA for lower OS and PFS were ECOG performance status ?2, higher liver tumor volume, higher pretreatment PLR, and increase in PLR after SIRT. Post-treatment increase in PLR >3-fold was the most predictive early marker for increased risk of death when compared with those whose PLR did not increase or increased <3-fold. Pretreatment PLR >78 was the most predictive serum marker associated with improved OS prior to therapy.This is the largest study to evaluate the association between NLR and PLR with clinical outcomes in patients receiving SIRT, with results that confirm that pre- and/or post-treatment NLR and/or PLR are predictive of clinical outcomes. The largest increase in risk of death as well as local and extrahepatic disease progression was related to change in PLR, a datum not well reported in the literature. The impact of SIRT on blood count changes and the underlying implications of these ratios should be further characterized in a prospective study.

Project description:One of the key difficulties in glioma treatment is our limited ability to consistently assess cancer response or progression either by neuroimaging or specific blood biomarkers. An ideal biomarker could be measured through non-invasive methods such as blood-based biomarkers, aiding both early diagnosis and monitoring disease evolution. This is a single-center, case-control, 10-year retrospective, longitudinal study. We evaluated routine coagulation factors in 138 glioma patients (45 Females/93 Males; median [range] age, 56.4 [27-82] years; 64 non-recurrent/74 recurrent) and, for comparison, in 56 relapsing-remitting MS patients (41 Females/15 Males; 40.8 [25-62] years, 35 stable/21 active) and 23 controls (16 Females/7 Males; 41.7 [24-62] years) as well as Neutrophil-to-lymphocyte ratio (NLR) in subgroups of 127 glioma patients, 33 MS patients and 23 healthy controls. Secondly, we assessed whether these indicators could be predictive of overall (OS) and progression-free survival (PFS) in glioma patients. NLR, d-dimer, Antithrombin III and Factor VIII were significantly higher in glioma patients compared to both MS patients and controls (p<0.0001 for all). ROC curves confirmed that either NLR, Antithrombin III or Factor VIII were moderately accurate biomarkers (0.7<AUC<0.9) for glioma patients compared to other two groups whereas d-dimer was a moderately accurate marker for glioma only when compared to controls. In multivariable analysis, NLR ≥ 4.3 (median) (HR 1.53 [95 % CI 1.04-2.26], p=0.03) together with the Karnofsky Performance Status (KPS) ≥ 80 (median) (0.46 [0.31-0.69], p<0.0001) and use of steroids (1.75 [1.19-2.57], p=0.004) resulted independent predictors of OS while only KPS was independently associated with PFS. Our study showed increased levels of either NLR, Antithrombin III, Factor VIII, or d-dimer in glioma patients compared to MS patients and controls, where the first three represented moderately accurate biomarkers for this cancer. Among these markers, only NLR was found to be predictive for OS along with severe disability and steroid therapy.

Dataset Information

Longitudinal Tumor Size and Neutrophil-to-Lymphocyte Ratio Are Prognostic Biomarkers for Overall Survival in Patients With Advanced Non-Small Cell Lung Cancer Treated With Durvalumab.

Publications

Longitudinal Tumor Size and Neutrophil-to-Lymphocyte Ratio Are Prognostic Biomarkers for Overall Survival in Patients With Advanced Non-Small Cell Lung Cancer Treated With Durvalumab.

Similar Datasets

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