Andrew Hanna

Changes in neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios during chemoradiation predict for survival and pathologic complete response in trimodality esophageal cancer patients

BACKGROUND Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) predict for survival in cancer patients. In patients receiving multimodality therapy, the effect of therapy on the NLR and PLR is not well understood. We evaluated changes in NLR and PLR among locally advanced esophageal cancer patients who received trimodality therapy. METHODS We performed a retrospective analysis of nonmetastatic patients with esophageal cancer who received neoadjuvant chemoradiation therapy (CRT) followed by esophagectomy at our institution between March 2000 and April 2012. NLR and PLR values were obtained for the following time points (TPs): (I) at diagnosis before CRT; (II) after CRT but prior to surgery; and (III) after surgery. We evaluated changes in NLR and PLR using the difference and ratio between TPs. Overall survival (OS) was evaluated by Kaplan-Meier analysis. Univariate and multivariate Cox regression models were applied to evaluate the independent prognostic significance of NLR and PLR. RESULTS This IRB-approved study included the records of 83 consecutive patients with stage II-IV esophageal cancer. The median age was 60 years, and median follow-up was 29.3 months. Patients were treated to a median prescription dose of 50.4 Gy (range, 50.4-56.4 Gy) in 28-33 fractions. Median NLR and PLR were 3.3 and 157.2, 12 and 645, and 11.5 and 391.7 at TPs 1, 2, and 3, respectively. On multivariate analysis, superior OS was associated with PLR ≥250 at TP3 (P=0.03), PLR decrease ≥609.2 between TP2 and TP3 (P=0.02), and PLR ratio (TP3/TP1) ≥1.08 (P=0.03). Inferior progression-free survival (PFS) was associated with NLR ≥36 at TP2 (P=0.0008), NLR increase ≥28.3 between TP1 and TP2 (P=0.0005), and PLR ratio (TP2/TP3) ≥0.38 (P=0.1). Pathologic complete response (PCR) was less likely for adenocarcinoma (AC) histology (P=0.03), NLR ≥10.6 at TP2 (P=0.04), and NLR increase ≥4.6 from TP1 to TP2 (P=0.03). CONCLUSIONS To our knowledge, this is the first study to examine NLR and PLR values at various time intervals throughout treatment and demonstrate a correlation between OS, PFS, and PCR in patients undergoing trimodality therapy for esophageal cancer.

Analysis of pathological complete response rates with paclitaxel‐based regimens in trimodality therapy for esophageal cancer

The study aimed to examine whether omission of 5-fluorouracil (5-FU)-containing chemotherapy alters pathological complete response rates in patients receiving trimodality therapy for locally advanced esophageal cancer. A total of 159 patients were identified. One hundred twenty-nine patients received platinum/5-FU concurrently with radiotherapy, and 30 received taxane/platinum-containing chemoradiotherapy prior to esophagectomy. Patients were staged using the 2002 American Joint Committee on Cancer staging system. Patients were matched between chemotherapeutic groups, with no significant demographic or clinical differences other than T stage (14% T2 in the 5-FU group; no T2 in the platinum/taxane group) and radiotherapy technique (8.5% received intensity-modulated radiotherapy in the 5-FU group; 60% in the platinum/taxane group). Pathological complete response rates for 5-FU and platinum/taxane-based groups were not significantly different (45% and 30%, respectively; P = 0.1548). Five-year overall survival and progression-free survival were not statistically different between the two groups. Significant predictors of pathological complete response included N stage (56% N0 and 33% N1; P = 0.0083), histology (37% adenocarcinoma and 59% squamous cell; P = 0.0123), tumor location (39% distal and 59% proximal/mid; P = 0.048), gastroesophageal junction involvement (33% involved and 55% uninvolved; P = 0.005), and radiotherapy end-to-surgery interval (50% < 55 days and 34% ≥ 55 days; P = 0.04). Grades 3-4 hematological toxicity was higher in the 5-FU group (36%) than in the paclitaxel-containing therapy group (17%; P = 0.0484). Use of paclitaxel-containing chemoradiotherapy did not result in inferior pathological complete response, overall survival, or progression-free survival rates, and resulted in less hematological toxicity than 5-FU treatment.

Prognostic models for patients with brain metastases after stereotactic radiosurgery with or without whole brain radiotherapy: a validation study

Purpose/Objective(s)To compare the performance of five prognostic models [RTOG recursive partitioning analysis (RPA), Score Index for Radiosurgery in Brain Metastases (SIR), Barnholtz-Sloan–Kattan nomogram (BSKN), diagnosis-specific Graded Prognostic Assessment (dsGPA), and Graded Prognostic Assessment for Lung Cancer Using Molecular Markers (Lung-molGPA)] against actual survival in patients with brain metastases treated with SRS +/− WBRT.Materials/Methods100 consecutive patients treated with SRS +/− WBRT between January 2006 and July 2012 were retrospectively analyzed. Patients were binned according to 33 percentiles of the predicted survival distribution for the BSKN and dsGPA models to compare with LungmolGPA, RPA and SIR. Pearson’s correlation coefficients between predicted and observed survival were estimated to quantify the proportion of variance in observed survival.ResultsMedian survival for the entire cohort was 13.5 months, with predicted vs actual MS by BSKN, SIR, dsGPA, RPA, adenocarcinoma Lung-molGPA, and nonadenocarcinoma Lung-molGPA was 3.8 vs 15.6 months, 7 vs 13.5 months, 9.4 vs 13.5 months, 10.3 vs 13.5 months, 13.7 vs 13.7 months, and 9.8 vs 9.7 months, respectively. The BSKN model and adenocarcinoma LungmolGPA created three groups with a statistically significantly different MS (p = 0.002 and p = 0.01, respectively).ConclusionAll models under-predicted MS and only the BSKN and Lung-molGPA model stratified patients into three risk groups with statistically significant actual MS. The prognostic groupings of the adenocarcinoma Lung-molGPA group was the best predictor of MS, and showed that we are making improvements in our prognostic ability by utilizing molecular information that is much more widely available in the current treatment era.