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:BackgroundThe highly heterogeneous characteristics of GC may limit the accuracy of a single biomarker for screening populations benefiting from immunotherapy. However, the combination of multiple indicators can provide more directed information for the detection of potential immune benefit subgroups. At present, there are no recognized complex indexes to identify advanced GC (AGC) in patients who likely benefited from immunotherapy. The objective of this research is to explore whether the composite biomarker of derived neutrophil-lymphocyte ratio (dNLR) and platelet-lymphocyte ratio (PLR) can be used as a reliable prognostic factor for the survival of AGC patients receiving immunotherapy.MethodsFrom December 2014 to May 2021, a total 238 AGC patients at a single Center were included in this retrospective cohort research study. The cutoff value of dNLR was obtained by the ROC curves to predict the disease progression rate at the 8th month and the cutoff value of PLR was estimated by the median value. The cutoff values of dNLR and PLR were 1.95 and 163.63, respectively. The high levels of dNLR (≥1.95) and PLR (≥163.63) were considered to be risk factors. Based on these two risk factors, patients were categorized into 3 groups: the risk factor number for the "good" group was 0, that for the "intermediate" group was 1, and that for the "poor" group was 2. The subjects were divided into two groups: dNLR/PLR-good and dNLR/PLR-intermediate/poor.ResultsOf the 238 patients, the median overall survival (mOS) and progression-free survival (mPFS) were 12.5 and 4.7 months, respectively. Multivariate analysis revealed that the good dNLR/PLR group was independently associated with better prognosis. The intermediate/poor dNLR/PLR group was independently correlated with an over 1.4 times greater risk of disease progression (4.1 months vs. 5.5 months; p = 0.016) and an over 1.54 times greater risk of death (11.1 months vs. 26.3 months; p = 0.033) than the good dNLR/PLR group. However, no clear differences in the disease control rate (DCR) and overall response rate (ORR) were observed between the intermediate/poor dNLR/PLR group and the good dNLR/PLR group (51.5% vs. 56.3%, 26.3% vs. 29.6%; p = 0.494, p = 0.609).ConclusionOur study firstly verifies that the composite biomarker of dNLR and PLR is an independent prognostic factor affecting survival of advanced AGC patients receiving immunotherapy. It may be difficult for patients with the intermediate/poor dNLR/PLR group to benefit from immunotherapy.

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.

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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