PMID- 29440931 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220311 IS - 1179-1322 (Print) IS - 1179-1322 (Electronic) IS - 1179-1322 (Linking) VI - 10 DP - 2018 TI - Influential factors on radiotherapy efficacy and prognosis in patients with secondary lymph node metastasis after esophagectomy of thoracic esophageal squamous cell carcinoma. PG - 217-225 LID - 10.2147/CMAR.S147324 [doi] AB - BACKGROUND: The purpose of this study was to clarify whether pretreatment tumor burden-related index, including the gross tumor volume (GTV) of metastatic lymph nodes (V(LN)) and maximum diameter of metastatic lymph nodes (D(LN)), and inflammatory markers, consisting of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), are useful for assessing the therapeutic effects and prognosis with secondary lymph node metastasis (LNM) receiving chemoradiotherapy (CRT) or radiotherapy (RT) alone after resection of esophageal squamous cell carcinoma (ESCC). PATIENTS AND METHODS: A total of 119 patients with secondary LNM after resection of ESCC were recruited and received curative RT only or CRT. The enrolled patients were grouped according to the median values of NLR, PLR, V(LN), and D(LN). The relationship between the responsiveness to treatment and these markers was analyzed by logistic analysis. The Kaplan-Meier method and log-rank test were adopted to calculate and compare the overall survival (OS) rates with these markers. The Cox models were used to carry out multivariate analyses. RESULTS: Univariate logistic regression analysis showed that the responses to treatment were highly associated with treatment method (P=0.011), NLR (P=0.000), PLR (P=0.003), V(LN) (P=0.000), and D(LN) (P=0.000). Next, multivariate logistic regression analysis showed that therapeutic method (hazard ratio [HR]=1.225, P=0.032), NLR (HR=2.697, P=0.019), and V(LN) (HR=4.607, P=0.034) were independent risk factors for tumor response. Additionally, Kaplan-Meier survival analysis of this cohort revealed that NLR (chi(2) =27.298, P=0.000), PLR (chi(2)=16.719, P=0.000), V(LN) (chi(2)=48.823, P=0.000), D(LN) (chi(2)=40.724, P=0.000), and treatment methods (chi(2)=18.454, P=0.018) were significantly associated with OS. Furthermore, multivariate analysis was performed, and the results showed that therapeutic method (HR=1.223, P=0.048), NLR (HR=2.000, P=0.018), V(LN) (HR=2.379, P=0.020), and D(LN) (HR=2.901, P=0.002) were considered independent prognostic factors for OS. CONCLUSION: This study found that NLR and V(LN) were promising as predictive markers for therapeutic effects, and NLR combined with V(LN) and with D(LN) might be useful biomarkers in predicting outcomes in patients with secondary LNM receiving CRT or single RT after esophagectomy. FAU - Zhou, Shao-Bing AU - Zhou SB AD - Department of Radiation Oncology, Affiliated Taixing People's Hospital of Yangzhou University, Taixing. FAU - Guo, Xin-Wei AU - Guo XW AD - Department of Radiation Oncology, Affiliated Taixing People's Hospital of Yangzhou University, Taixing. FAU - Gu, Liang AU - Gu L AD - Department of Radiation Oncology, Affiliated Taixing People's Hospital of Yangzhou University, Taixing. FAU - Ji, Sheng-Jun AU - Ji SJ AD - Department of Radiotherapy and Oncology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, People's Republic of China. LA - eng PT - Journal Article DEP - 20180202 PL - New Zealand TA - Cancer Manag Res JT - Cancer management and research JID - 101512700 PMC - PMC5798555 OTO - NOTNLM OT - chemoradiotherapy OT - esophageal carcinoma OT - hematological markers OT - prognostic factor OT - therapeutic response OT - tumor volume COIS- Disclosure The authors report no conflicts of interest in this work. EDAT- 2018/02/15 06:00 MHDA- 2018/02/15 06:01 PMCR- 2018/02/02 CRDT- 2018/02/15 06:00 PHST- 2018/02/15 06:00 [entrez] PHST- 2018/02/15 06:00 [pubmed] PHST- 2018/02/15 06:01 [medline] PHST- 2018/02/02 00:00 [pmc-release] AID - cmar-10-217 [pii] AID - 10.2147/CMAR.S147324 [doi] PST - epublish SO - Cancer Manag Res. 2018 Feb 2;10:217-225. doi: 10.2147/CMAR.S147324. eCollection 2018.