Prognostic impact of a large mesenteric mass >2 cm in ileal neuroendocrine tumors

2019 ◽  
Vol 120 (8) ◽  
pp. 1311-1317 ◽  
Author(s):  
Yosuke Kasai ◽  
Kelly Mahuron ◽  
Kenzo Hirose ◽  
Carlos U. Corvera ◽  
Grace E. Kim ◽  
...  
Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 504
Author(s):  
Fiona Ohlendorf ◽  
Rudolf Werner ◽  
Christoph Henkenberens ◽  
Tobias Ross ◽  
Hans Christiansen ◽  
...  

Tumor microenvironment inflammation contributes to the proliferation and survival of malignant cells, angiogenesis, metastasis, subversion of adaptive immunity, and reduced treatment response. We aimed to evaluate the early predictive and prognostic significance of markers of systemic inflammation in patients receiving somatostatin-receptor targeted peptide receptor radionuclide therapy (PRRT). This retrospective observational cohort study included 33 patients with advanced gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs) treated with PRRT. Pretreatment blood-based inflammatory biomarkers, e.g., Creactive protein levels (CRP), white blood cell count (WBC), and absolute neutrophil count (ANC), were documented and inflammation indexes, e.g., neutrophil-lymphocyte ratio (NLR) and Platelet × CRP multiplier (PCM), were calculated. Tumor burden was determined using [68Ga]GaDOTATATE PET/CT before enrollment and every 2 cycles thereafter until progression. Therapy response was assessed using RECIST 1.1, including its volumetric modification. Inflammatory biomarkers and inflammatory indexes demonstrated marked heterogeneity among patients, and were significantly higher in non-responders (e.g., CRP (P < 0.001), ANC (P = 0.002), and PCM (P < 0.001)). Change in whole-body tumor burden after two cycles of PRRT was significantly associated with CRP (P = 0.0157) and NLR (P = 0.0040) in multivariate regression analysis. A cut-off of 2.5 mg/L for CRP (AUC = 0.84, P = 0.001) revealed a significant outcome difference between patients with adversely high vs. low CRP (median PFS 508 days vs. not yet reached (HR = 4.52; 95% CI, 1.27 to 16.18; P = 0.02)). Tumor-driven systemic inflammatory networks may be associated with treatment response, change in tumor burden, and prognosis in patients with GEPNETs receiving PRRT.


2018 ◽  
Vol 25 (12) ◽  
pp. 3613-3620 ◽  
Author(s):  
David Strosberg ◽  
Eric B. Schneider ◽  
Jill Onesti ◽  
Neil Saunders ◽  
Bhavana Konda ◽  
...  

Pancreas ◽  
2019 ◽  
Vol 48 (5) ◽  
pp. 682-685 ◽  
Author(s):  
Preeti Malik ◽  
Candida Pinto ◽  
Monica S. Naparst ◽  
Stephen C. Ward ◽  
Anne Aronson ◽  
...  

2020 ◽  
Author(s):  
Haiping Lin ◽  
Liyuan Wang ◽  
Yang Bai ◽  
Chenyang Ge ◽  
Hongjuan Zheng ◽  
...  

Abstract Background: Current guidelines recommend right hemicolectomy for appendiceal neuroendocrine tumors (A-NETs) patients with lymph node (LN) metastasis. However, prognosis of these patients is favorable, and the prognostic impact of metastatic LN is controversial.Objective: The study aims to evaluate the prognostic factors of A-NETs, and explore whether right hemicolectomy/ more extended procedure (RHCM) improves prognosis compared to less extended than right hemicolectomy (LRHC).Methods: Patients with A-NETs were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The Fine-Gray proportional hazards model was established to calculate subdistribution hazard ratios of prognostic factors. A propensity score matching was performed to balance intergroup differences between the LRHC and RHCM groups, and survival difference between the after-matched groups was tested using the Gray test. Subgroup analyses were also conducted.Results: In the multivariate analysis, histological type and distant metastatic status were associated with prognosis, while tumor size and nodal status were not. After propensity score matching, the patients’ characteristics were well balanced. RHCM did not confer survival benefits in the whole after-matched patients or any subgroup.Conclusions: Metastatic LN does not significantly impact prognosis, and RHCM fails to improve prognosis compared to LRHC. Therefore, the current “LN-decided” surgical procedure may not be suitable for patients with A-NETs.


Cancers ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 514 ◽  
Author(s):  
Jacqueline Trouillas ◽  
Marie-Lise Jaffrain-Rea ◽  
Alexandre Vasiljevic ◽  
Gérald Raverot ◽  
Federico Roncaroli ◽  
...  

Adenohypophyseal tumors, which were recently renamed pituitary neuroendocrine tumors (PitNET), are mostly benign, but may present various behaviors: invasive, “aggressive” and malignant with metastases. They are classified into seven morphofunctional types and three lineages: lactotroph, somatotroph and thyrotroph (PIT1 lineage), corticotroph (TPIT lineage) or gonadotroph (SF1 lineage), null cell or immunonegative tumor and plurihormonal tumors. The WHO 2017 classification suggested that subtypes, such as male lactotroph, silent corticotroph and Crooke cell, sparsely granulated somatotroph, and silent plurihormonal PIT1 positive tumors, should be considered as “high risk” tumors. However, the prognostic impact of these subtypes and of each morphologic type remains controversial. In contrast, the French five-tiered classification, taking into account the invasion, the immuno-histochemical (IHC) type, and the proliferative markers (Ki-67 index, mitotic count, p53 positivity), has a prognostic value validated by statistical analysis in 4 independent cohorts. A standardized report for the diagnosis of pituitary tumors, integrating all these parameters, has been proposed by the European Pituitary Pathology Group (EPPG). In 2020, the pituitary pathologist must be considered as a member of the multidisciplinary pituitary team. The pathological diagnosis may help the clinician to adapt the post-operative management, including appropriate follow-up and early recognition and treatment of potentially aggressive forms.


Author(s):  
Nicolas Deleval ◽  
Louise Pesque ◽  
Arnaud Dieudonné ◽  
Flore Viry ◽  
Olivia Hentic ◽  
...  

2013 ◽  
Vol 6 (6) ◽  
pp. 1641-1645 ◽  
Author(s):  
SHUZHENG LIU ◽  
YUXI CHANG ◽  
JIE MA ◽  
XU LI ◽  
XIAOHONG LI ◽  
...  

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