Esophageal cancer: a twenty-four-year experience at a tertiary care center with an evaluation of the prognostic significance of the neutrophil-lymphocyte ratio.

BACKGROUND: A high neutrophil-lymphocyte ratio (NLR) may be associated with worse survival in esophageal cancer (EC). Our aims were to describe the demographic and clinical data of EC in a tertiary referral center in Lebanon and to determine the prognostic value of NLR. METHODS: A retrospective cohort study based on chart review of patients diagnosed with EC was conducted at the American University of Beirut Medical Center (AUBMC). The demographic characteristics, clinical presentation and outcomes were described and compared between squamous cell carcinomas (ESCC) and adenocarcinomas (EAC). Data about esophageal cancer incidence were obtained from the National Cancer Registry, the Ministry of Public Health and GLOBOCAN 2020. Cox regression analysis was performed to determine whether the NLR is an independent predictor of survival, using variables based on clinical knowledge and previously established data. RESULTS: 110 patients were diagnosed with EC, which was the least common among other gastrointestinal malignancies. Our follow up rates reached 86.4%. The median survival was 9 months (IQR 3-25.5.) and was comparable between ESCC (median of 7 months, IQR 2-25) and EAC (median of 9 months, IQR 3-26.3), p = 0.803. Advanced stage was associated with a worse prognosis (p = 0.037). The mean NLR(±SD) was 5.20 ± 6.8, with no significant difference between EAC and ESCC (4.5 ± 3.4 vs. 5.9 ± 9.2, p = 0.420) or between early or advanced stages (5.4 ± 8.1 vs. 4.7 ± 6.8, p = 0.732). The area under the curve for the NLR was 0.560 (95% CI: 0.374-0.746, p = 0.488). After adjusting for age, gender, TNM staging and grading, cox regression analysis showed that an increased NLR was a significant predictor of mortality, with an adjusted hazard ratio of 1.095 (p = 0.011). CONCLUSION: EC is quite uncommon in Lebanon despite a high prevalence of smoking and obesity. Advanced stage and high NLR were associated with a negative prognostic value.

Increase in spleen volume as a predictor of oxaliplatin toxicity.

BACKGROUND: Oxaliplatin is a nonconventional third-generation platinum compound. It is an important chemotherapeutic agent in regimens used in gastrointestinal carcinomas as well as other malignancies. Oxaliplatin toxicity profile includes neurotoxicity, hepatotoxicity, and splenomegaly. The primary aim of this study was to measure the spleen volume of patients on oxaliplatin therapy before and during chemotherapy to detect any increase in splenic size as a biomarker for early oxaliplatin toxicity. METHODS: This was a prospective pilot study conducted at the American University of Beirut-Medical Center. Fifty patients newly started on oxaliplatin were included. The spleen volume was measured from the patients' baseline CT scan using the IntelliSpace Portal upgraded system (using Response Evaluation Criteria In Solid Tumors [RECIST]), for each follow-up CT scan. Side effects were evaluated at each patient visit and graded according to the severity. RESULTS: Thirty-seven (74%) patients developed an increase in spleen size. Thirty-three (66%) sampled patients developed peripheral neuropathy (all grades) at 3 months, whereas only two (4%) patients developed grade 3 neuropathy. Only one (3%) patient who developed an increase in spleen size also developed grade 3 peripheral neuropathy - a result that is significantly different (p<0.001) when comparing patients with an increase in spleen size who also developed peripheral neuropathy of other grades. CONCLUSION: An increase in spleen volume possibly precedes a significant peripheral neuropathy which could be a potential marker for oxaliplatin-induced toxicity.

Artificial neural network-based model enhances risk stratification and reduces non-invasive cardiac stress imaging compared to Diamond-Forrester and Morise risk assessment models: A prospective study.

BACKGROUND: Coronary artery disease (CAD) accounts for more than half of all cardiovascular events. Stress testing remains the cornerstone for non-invasive assessment of patients with possible or known CAD. Clinical utilization reviews show that most patients presenting for evaluation of stable CAD by stress testing are categorized as low risk prior to the test. Attempts to enhance risk stratification of individuals who are sent for stress testing seem to be more in need today. The present study compares artificial neural networks (ANN)-based prediction models to the other risk models being used in practice (the Diamond-Forrester and the Morise models). METHODS: In our study, we prospectively recruited patients who were 19 years of age or older, and were being evaluated for coronary artery disease with imaging-based stress tests. For ANN, the network architecture employed a systematic method, where the number of neurons is changed incrementally, and bootstrapping was performed to evaluate the accuracy of the models. RESULTS: We prospectively enrolled 486 patients. The mean age of patients undergoing stress test was 55.2 ± 11.2 years, 35% were women, and 12% had a positive stress test for ischemic heart disease. When compared to Diamond-Forrester and Morise risk models, the ANN model for predicting ischemia provided higher discriminatory power (DP)(1.61), had a negative predictive value of 98%, Sensitivity 91% [81%-97%], Specificity 65% [60%-79%], positive predictive value 26%, and a potential 59% reduction of non-invasive imaging. CONCLUSION: The ANN models improved risk stratification when compared to the other risk scores (Diamond-Forrester and Morise) with a 98% negative predictive value and a significant potential reduction in non-invasive imaging tests.

Younger age is an independent predictor of worse prognosis among Lebanese nonmetastatic breast cancer patients: analysis of a prospective cohort.

BACKGROUND: Several retrospective studies have reported that younger age at presentation is associated with a worse prognosis for nonmetastatic breast cancer patients. In this study, we prospectively assessed the association between different baseline characteristics (age, tumor characteristics, mode of treatment, etc) and outcomes among newly diagnosed nonmetastatic Lebanese breast cancer patients. METHODS: We recruited a sample of 123 women newly diagnosed with nonmetastatic breast cancer presenting to American University of Beirut Medical Center. Immunohistochemical, molecular (vitamin D receptor, methylene tetrahydrofolate reductase polymorphisms), and genetic assays were performed. Patient characteristics were compared by age group (<40 and ≥40 years). A Cox regression analysis was performed to evaluate the variables affecting the disease-free survival (DFS). Outcome data were obtained, and DFS was estimated. RESULTS: Among the 123 patients, 47 were 40 years of age or younger, and 76 were older than 40 years. Median follow-up duration was 58 months. Nine out of 47 patients <40 years (19.1%) experienced disease relapse in contrast to four out of 76 patients >40 years (5.2%). A wide immunohistochemical panel included Ki-67, cyclin B1, p53, platelet-derived growth factor receptor, and vascular endothelial growth factor receptor, and did not reveal any significant difference in these markers between the two age groups. Older patients had a larger percentage of Luminal A than younger patients. On multivariate analysis including age, stage, grade, and subtype, only age <40 and stage were significantly associated with shorter DFS with hazard ratios of 4 (p=0.03, 95% confidence interval [CI]: 1.1-13.5) and 3 (p=0.03, 95% CI: 0.8-14.9), respectively. The estimated 5-year DFS for patients >40 years was 90%, and for patients <40 years was 37%. CONCLUSION: Being <40 years old was an independent risk factor for recurrence in this cohort of patients.