Retrospective operationalization of allostatic load in patients with cancer: A systematic review.

Allostatic load (AL) has been shown to impact cancer outcomes. At present, no gold standard exists surrounding AL computation. As such, a systematic review of the literature was performed to identify studies that retrospectively calculated AL in patients with cancer. The following variables were collected for each study: AL calculation method, including the biomarkers used and their cutoff values, number of biosystems represented, definition of high AL, and the use of proxy biomarkers. Thirteen articles were included for full-text review. The number of biomarkers used in the calculation of AL varied considerably, ranging from 6 to 16. Considerable variability was also observed in terms of utilized biomarkers and biosystem representation. This lack of standardization complicates retrospective AL calculation among patients with cancer. Nonetheless, determining AL in patients with cancer presents an important step in the optimization of patient care and outcomes.

Clarification of the margin status by the multidisciplinary tumor board following transoral robotic surgery for p16 positive oropharyngeal squamous cell carcinoma.

Objectives: Margin status interpretation following transoral robotic surgery (TORS) for oropharyngeal squamous cell carcinoma (OPSCC) is challenging. This study aims to assess the discrepancy between status of margins as reported by the pathologist versus as determined by multi-disciplinary team review (MDTB). Methods: A retrospective study of 57 patients with OPSCC who underwent TORS from January 2010 to December 2016 was conducted. Our primary outcome measure was the discrepancy between the surgical specimen margins as described in the pathology report versus final margin status that was determined after the multi-disciplinary team discussion. Fisher's exact test was used. Results: Based on the pathologist-report, 29 subjects (51%) had positive margins, compared to 2 (4%) after multi-disciplinary team discussion. Receipt of chemotherapy correlated with final margin status as determined by MDTB, not with initial main specimen margins (p = .02 and p = .08, respectively). With a median follow up of 28.4 months, two subjects (4%) had loco-regional recurrence. Conclusion: Following TORS, there was a significant discrepancy between status of margins as reported by the pathologist versus as determined by MDTB review. Chemotherapy was avoided in 93.1% of cases that were originally reported as positive margins by the pathologist with an acceptably low recurrence rate. Level of evidence: 4.

High Neutrophil-Lymphocyte Ratio and Delta Neutrophil-Lymphocyte Ratio Are Associated with Increased Mortality in Patients with Hepatocellular Cancer.

BACKGROUND: The neutrophil-lymphocyte ratio (NLR) has been proposed as a prognostic biomarker for cirrhosis and non-liver malignancies. We aimed to evaluate the prognostic value of NLR in a diverse cohort of patients with hepatocellular carcinoma (HCC). METHODS: We performed a retrospective study of patients diagnosed with HCC between 2008 and 2017 at two large US health systems. We used Cox proportional hazard and multivariable ordinal logistic regression models to identify factors associated with overall survival and response to first HCC treatment, respectively. Primary variables of interest were baseline NLR and delta NLR, defined as the difference between pre- and post-treatment NLR. RESULTS: Among 1019 HCC patients, baseline NLR was < 5 in 815 (80.0%) and ≥ 5 in 204 (20.0%). Patients with NLR ≥ 5 had a higher proportion of infiltrative tumors (36.2% vs 22.3%), macrovascular invasion (39.6% vs 25.5%), metastatic disease (20.6% vs 11.4%), and AFP > 200 ng/mL (45.6% vs 33.8%). Baseline NLR ≥ 5 was independently associated with higher mortality (median survival 4.3 vs 15.1 months; adjusted HR 1.70, 95%CI 1.41-2.06), with differences in survival consistent across BCLC stages. After adjusting for baseline covariates including NLR, delta NLR > 0.26 was also independently associated with increased mortality (HR 1.42, 95%CI 1.14-1.78). In a secondary analysis, high NLR was associated with lower odds of response to HCC treatment (20.2% vs 31.6%; adjusted OR 0.55, 95%CI 0.32-0.95). CONCLUSIONS: In a large Western cohort of patients with HCC, high baseline NLR and delta NLR were independent predictors of mortality. IMPACT: NLR is an inexpensive test that may be a useful component of future HCC prognostic models.

Post-operative therapy following transoral robotic surgery for unknown primary cancers of the head and neck.

OBJECTIVES: Our primary objective is to describe the post- operative management in patients with an unknown primary squamous cell carcinoma of the head and neck (HNSCC) treated with trans-oral robotic surgery (TORS). MATERIALS & METHODS: We conducted a retrospective multi-institutional case series including all patients diagnosed with an unknown primary HNSCC who underwent TORS to identify the primary site from January 1, 2010 to June 30, 2016. We excluded those with recurrent disease, ≤6months of follow up from TORS, previous history of radiation therapy (RT) to the head and neck, or evidence of primary tumor site based on previous biopsies. Our main outcome measure was receipt of post-operative therapy. RESULTS: The tumor was identified in 26/35 (74.3%) subjects. Post-TORS, 2 subjects did not receive adjuvant therapy due to favorable pathology. Volume reduction of RT mucosal site coverage was achieved in 12/26 (46.1%) subjects who had lateralizing tumors, ie. those confined to the palatine tonsil or glossotonsillar sulcus. In addition, for 8/26 (30.1%), the contralateral neck RT was also avoided. In 9 subjects, no primary was identified (pT0); four of these received RT to the involved ipsilateral neck nodal basin only without pharyngeal mucosal irradiation. CONCLUSION: Surgical management of an unknown primary with TORS can lead to deintensification of adjuvant therapy including avoidance of chemotherapy and reduction in RT doses and volume. There was no increase in short term treatment failures. Treatment after TORS can vary significantly, thus we advocate adherence to NCCN guideline therapy post-TORS to avoid treatment-associated variability.