Exploring the CXCR4/CXCR7/CXCL12 Axis in Primary Desmoid Tumors.

BACKGROUND: Desmoid tumors have an extremely variable natural history. The uncertainty behind desmoid behavior reflects the complexity, which subtends its development and non-linear advancement. Apart from Wnt- ßcatenin mutation, estrogen receptors, and COX-2 overexpression, little is known about the ability of desmoids to grow and recur while being unable to metastasize. Several tumors have been shown to express the CXCR4/CXCR7/CXCL12 axis, whose functions are essential for tumoral development. AIMS: This study aimed to investigate the expression of the CXCR4/CXCR7/CXCL12 axis in primary desmoid tumors and discuss the potential role of this key-signaling as an antiangiogenic therapeutic strategy. METHODS: In this study, 3 µm-thick consecutive sections from each formalin-fixed and paraffin-embedded tissue block were treated with mouse monoclonal antibodies developed against CD34, CXCR4, CXCR7, and CXCL12. RESULTS: Two distinct vessel populations: CXCR4+ and CXCR4- vessels, have been found. Similarly, chemokine receptor CXCR7 expression in the entire desmoid tumor series positively stained a portion of tumor-associated vessels, identifying two distinct subpopulations of vessels: CXCR7+ and CXCR7- vessels. All 8 neoplastic tissue samples expressed CXCL12. Immunohistochemical positivity was identified in both stromal and endothelial vascular cells. Compared to CXCR4 and CXCR7, the vast majority of tumor-associated vessels were found to express this chemokine. CONCLUSION: It is the first time, as per our knowledge, that CXCR4/CXCR7/CXCL12 axis expression has been identified in a desmoid type-fibromatosis series. CXCL12 expression by neoplastic cells, together with CXCR4 and CXCR7 expression by a subgroup of tumor-associated vessels, was detected in all desmoid tumor tissue samples examined. Since chemokines are known contributors to neovascularization, CXCR4/CXCR7/CXCL12 axis may play a role in angiogenesis in this soft-tissue tumor histotype, thereby supporting its growth.

Impact of active cancer on COVID-19 survival: a matched-analysis on 557 consecutive patients at an Academic Hospital in Lombardy, Italy.

BACKGROUND: The impact of active cancer in COVID-19 patients is poorly defined; however, most studies showed a poorer outcome in cancer patients compared to the general population. METHODS: We analysed clinical data from 557 consecutive COVID-19 patients. Uni-multivariable analysis was performed to identify prognostic factors of COVID-19 survival; propensity score matching was used to estimate the impact of cancer. RESULTS: Of 557 consecutive COVID-19 patients, 46 had active cancer (8%). Comorbidities included diabetes (n = 137, 25%), hypertension (n = 284, 51%), coronary artery disease (n = 114, 20%) and dyslipidaemia (n = 122, 22%). Oncologic patients were older (mean age 71 vs 65, p = 0.012), more often smokers (20% vs 8%, p = 0.009), with higher neutrophil-to-lymphocyte ratio (13.3 vs 8.2, p = 0.046). Fatality rate was 50% (CI 95%: 34.9;65.1) in cancer patients and 20.2% (CI 95%: 16.8;23.9) in the non-oncologic population. Multivariable analysis showed active cancer (HRactive: 2.26, p = 0.001), age (HRage>65years: 1.08, p < 0.001), as well as lactate dehydrogenase (HRLDH>248mU/mL: 2.42, p = 0.007), PaO2/FiO2 (HRcontinuous: 1.00, p < 0.001), procalcitonin (HRPCT>0.5ng/mL: 2.21, p < 0.001), coronary artery disease (HRyes: 1.67, p = 0.010), cigarette smoking (HRyes: 1.65, p = 0.041) to be independent statistically significant predictors of outcome. Propensity score matching showed a 1.92× risk of death in active cancer patients compared to non-oncologic patients (p = 0.013), adjusted for ICU-related bias. We observed a median OS of 14 days for cancer patients vs 35 days for other patients. CONCLUSION: A near-doubled death rate between cancer and non-cancer COVID-19 patients was reported. Active cancer has a negative impact on clinical outcome regardless of pre-existing clinical comorbidities.

Low Incidence of SARS-CoV-2 in Patients with Solid Tumours on Active Treatment: An Observational Study at a Tertiary Cancer Centre in Lombardy, Italy.

Background: The incidence and prognosis of SARS-CoV-2-positive cancer patients on active oncologic treatment remain unknown. Retrospective data from China reported higher incidence and poorer outcomes with respect to the general population. We aimed to describe the real-word incidence of SARS-CoV-2 in cancer patients and the impact of oncologic therapies on the infection. Materials & Methods: In this study, we analysed all consecutive cancer patients with solid tumours undergoing active intravenous treatment (chemotherapy, immunotherapy, targeted therapy, alone or in combination) between 21 February and 30 April 2020, in a high-volume cancer centre in Lombardy, Italy. We focused on SARS-CoV-2-positive patients, reporting on the clinical characteristics of the cancer and the infection. Results: We registered 17 SARS-CoV-2-positive patients among 1267 cancer patients on active treatment, resulting in an incidence of 1.3%. The median age was 69.5 years (range 43-79). Fourteen patients (82%) required hospitalisation for COVID-19 with a median in-hospital stay of 11.5 days (range 3-58). Fourteen of the seventeen (82%) were treated for locally advanced or metastatic disease. We could not demonstrate any correlation between SARS-CoV-2 infection and tumour or treatment type. The COVID-19-related fatality rate was 29% (5/17), which was higher than that of the general population cared for in our centre (20%). Conclusions: Active oncologic treatments do not represent a risk factor for SARS-CoV-2 infection in cancer patients. However, the prognosis of infected cancer patients appears to be worse compared with that of the non-oncologic population. Given the low number of SARS-CoV-2-positive cases and the uncertainties in risk factors that may have an impact on the prognosis, we advocate for the continuum of cancer care even during the current pandemic.

Multimodality imaging of adult rhabdomyosarcoma: the added value of hybrid imaging.

Rhabdomyosarcoma (RMS) represents more than 50% of paediatric soft tissue tumours. Conversely, it is extremely rare among adults, where it shows peculiar biological and clinical features that are still poorly investigated. RMS patients should be referred to a Sarcoma Centre, where the contribution of experienced radiologists plays a relevant role in the diagnostic assessment of the disease, including precise localisation, staging, image-guided biopsy, response evaluation after treatment and follow-up. Besides CT and MRI, hybrid imaging including positron emission tomography (PET)/CT and PET/MRI are giving an increasing contribution to provide functional insights about tumour biology and to improve the diagnostic accuracy of the imaging work-up. This review paper provides a revision of the pathology, clinical and radiological features of adult RMS, with a particular focus on the growing role of hybrid PET-based imaging.

Preoperative monocyte-to-lymphocyte ratio predicts recurrence in gastrointestinal stromal tumors.

BACKGROUND AND OBJECTIVES: Several inflammation markers were found to have a prognostic value in cancer. We investigated the significance of preoperative white cell ratios in determining gastrointestinal stromal tumors (GISTs) outcome. METHODS: Clinicopathological features of patients who underwent surgery for GIST were reviewed. The following peripheral blood inflammation markers were calculated: neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), neutrophil-white blood cell ratio (NWR), lymphocyte-white cell ratio (LWR), monocyte-white cell ratio (MWR), and platelet-white cell ratio (PWR). RESULTS: We analyzed 127 patients. Three- and five-year disease-free survival (DFS) were 89.7% and 86.9%, respectively. The univariate analysis selected tumor diameter (P = 0.003), gastric location ( P = 0.024), cell type ( P = 0.024), mitosis ( P < 0.001), MLR ( P = 0.014), NLR ( P = 0.016), and PLR ( P = 0.001) as the factors associated to DFS. The independent prognostic factors for DFS were mitosis ( P = 0.001), NLR ( P = 0.015), MLR ( P = 0.015), and PLR ( P = 0.031), with MLR showing the highest statistical significance and hazard ratio (HR) value. MLR, NLR, and PLR were the only prognostic factors in the subgroup of patients with moderate to high Miettinen's risk class. A high value of MLR was associated with reduced DFS. CONCLUSION: MLR, NLR, and PLR are independent prognostic factors for DFS in GISTs. We first demonstrated the role of MLR as a predictor of recurrence in GIST. Its inclusion into clinical management may improve the recurrence estimation.