Neuroendocrine tumors (NETs) are a heterogeneous group of tumors originating in various anatomic locations. The management of this disease poses a significant challenge because of the heterogeneous clinical presentations and varying degree of aggressiveness. The recent completion of several phase III trials, including those evaluating octreotide, sunitinib, and everolimus, demonstrate that rigorous evaluation of novel agents in this disease is possible and can lead to practice-changing outcomes. Nevertheless, there are many aspects to the treatment of NETs that remain unclear and controversial. The North American Neuroendocrine Tumor Society (NANETS) published a set of consensus guidelines in 2010 which provided an overview for the treatment of patients with these malignancies. Here, we present a set of consensus tables intended to complement these guidelines and serve as a quick, accessible reference for the practicing physician.

Neuroendocrine tumors are a unique malignant neoplasm that can arise from the respiratory tree. Although well-differentiated bronchial neuroendocrine tumors (also called carcinoid tumors) are reported to account for approximately 25% of all neuroendocrine tumors, they represent only 1% to 2% of all lung cancers. The epidemiology, clinical behavior, and treatment of neuroendocrine carcinoid tumors differ significantly from other lung malignancies. In this article, the recent data regarding these tumors were reviewed with attention to the treatment modalities used. Although conventional cytotoxic therapy has not been reported to demonstrate much promise in this entity over the past 4 decades, newer molecular targeted agents including those that targeted angiogenesis and the mammalian target of rapamycin (mTOR) Well-differentiated neuroendocrine, or carcinoid, tumors are a unique class of malignancies capable of producing hormones identical to those from the nervous system. Although the first carcinoid tumor described was in the ileum, neuroendocrine malignancies are a family of malignancies found throughout the body. Tumors of the bronchial tree in particular account for approximately 25% of all well-differentiated neuroendocrine tumors (Table 1). [1][2][3] However, compared with other malignancies of the bronchoalveolar tree, these well-differentiated neuroendocrine tumors are rare, accounting for only 1% of all lung cancers. 3 The pathologic spectrum of neuroendocrine malignancies ranges from low-grade carcinoid to aggressive small cell lung cancer. The low-grade and intermediate-grade neuroendocrine malignancies, also known as typical and atypical carcinoid, will be the focus of this review. The distinct features of this malignancy include its pathologic characteristics, clinical behavior, epidemiology, prognosis, and treatment.

IMPORTANCE Erlotinib is a standard first-line therapy for patients with epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). Median progression-free survival (PFS) with erlotinib is approximately 10 months. OBJECTIVE To determine whether adding bevacizumab to erlotinib treatment results in superior progression-free survival compared with erlotinib alone. DESIGN, SETTING, AND PARTICIPANTS This phase 2 randomized clinical trial compared erlotinib plus bevacizumab with erlotinib alone in EGFR-mutant NSCLC. The trial was conducted in 17 US academic and community medical centers among 88 patients with EGFR exon 19 deletion or exon 21 L858R mutation based on local testing and stage 4 NSCLC who were eligible for bevacizumab. Patients were enrolled between November 2, 2012, and August 22, 2016, and followed up for a median (range) of 33 (0.7-62.5) months. Data were analyzed on August 28, 2018, and included data from November 2, 2012, to August 20, 2018. INTERVENTIONS Patients were randomized with equal allocation to 150 mg of oral erlotinib daily alone or with 15 mg/kg of intravenous bevacizumab every 3 weeks. Study therapy continued until disease progression, unacceptable adverse event, or withdrawal of consent. MAIN OUTCOMES AND MEASURES The primary outcome was PFS as assessed by the investigator; secondary outcomes were objective response rate (ORR), adverse events, and overall survival (OS). Analysis was designed to detect a hazard ratio (HR) of 0.667 for PFS (an improvement from a median PFS of 10 to 15 months). RESULTS Among 88 patients enrolled, the median (range) age was 63 (31-84) years; 62 patients (70%) were female; 75 (85%) were white, 8 (9%) were African American, 3 (3%) were Asian, and for 2 (2%), data on race were not available. Forty-eight patients (55%) were never smokers, 45 patients (51%) were of Eastern Cooperative Oncology Group performance status 1, and 59 patients (67%) had EGFR exon 19 deletion. Compared with erlotinib, the combination did not result in a significant difference in PFS (HR, 0.81; 95% CI, 0.50-1.31; P = .39; median PFS 17.9 [combination] and 13.5 months [erlotinib]), ORR (81% vs 83%; P = .81), and OS (HR, 1.41; 95% CI, 0.71-2.81; P = .33; median OS, 32.4 months [combination] and 50.6 months [erlotinib]). Adverse events of grade 3 or higher observed in 5 or more patients in the combination and erlotinib arms were skin eruption in 11 (26%) vs 7 (16%) patients, diarrhea in 4 (9%) vs 6 (13%) patients, hypertension in 17 (40%) vs 9 (20%) patients, and proteinuria in 5 (12%) vs 0 (0%) patients. CONCLUSIONS AND RELEVANCE Erlotinib plus bevacizumab compared with erlotinib did not result in a significant improvement in PFS in EGFR-mutant NSCLC. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT01532089.

Romidepsin is a potent HDAC inhibitor with demonstrable activity in T-cell lymphoma. In contrast to vorinostat, romidepsin is approved as second-line therapy. Current approval only includes CTCL; promising results have been demonstrated in Phase II testing of peripheral T-cell lymphoma subtypes. Future directions include expanded indications in T-cell lymphomas as well as novel combinations with other HDAC inhibitors and other therapeutic agents.

BackgroundThe neutrophil to lymphocyte ratio (NLR) is known to be prognostic for patients with advanced cancers treated with immune checkpoint inhibitors (ICI), but has generally been evaluated as a single threshold value at baseline. We evaluated NLR at baseline and within first month during treatment in patients who received ICI for advanced cancer to evaluate the prognostic value of baseline and of changes from baseline to on-treatment NLR.MethodsA retrospective review of patients with advanced cancer treated with ICI from 2011 to 2017 at the Ohio State University was performed. NLR was calculated at the initiation of ICI and repeated at median of 21 days. Overall survival (OS) was calculated from the initiation of ICI to date of death or censored at last follow-up. Significance of Cox proportional hazards models were evaluated by log-rank test. Calculations were performed using the survival and survminer packages in R, and SPSS.Results509 patients were identified and included in the analysis. Patients with baseline and on-treatment NLR < 5 had significantly longer OS (P < 0.001). The change in NLR overtime was a predictor of OS and was observed to be non-linear in nature. This property remained statistically significant with P < 0.05 after adjusting for age, body mass index, sex, cancer type, performance status, and days to repeat NLR measurement. Patients with a moderate decrease in NLR from baseline had the longest OS of 27.8 months (95% CI 21.8–33.8). Patients with significant NLR decrease had OS of 11.4 months (95% CI 6.1–16.7). Patients with a significant increase in NLR had the shortest OS of 5.0 months (95% CI 0.9–9.1).ConclusionsWe confirmed the prognostic value of NLR in patients with advanced cancer treated with ICIs. We found that change in NLR over time is a non-linear predictor of patient outcomes. Patients who had moderate decrease in NLR during treatment with ICI were found to have the longest survival, whereas a significant decrease or increase in NLR was associated with shorter survival. To our knowledge, this is the first study to demonstrate a non-linear change in NLR over time that correlates with survival.