Publications by authors named "Tommaso L"

Among solid tumors, cholangiocarcinoma (CCA) emerges as one of the most difficult to eradicate. The silent and asymptomatic nature of this tumor, particularly in its early stages, as well as the high heterogeneity at genomic, epigenetic, and molecular levels delay the diagnosis, significantly compromising the efficacy of current therapeutic options and thus contributing to a dismal prognosis. Extensive research has been conducted on the molecular pathobiology of CCA, and recent advances have been made in the classification and characterization of new molecular targets.

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Introduction: The standard treatment of colorectal liver metastases (CRLM) is surgery with perioperative chemotherapy. A tumor response to systemic therapy confirmed at pathology examination is the strongest predictor of survival, but it cannot be adequately predicted in the preoperative setting. This bi-institutional retrospective study investigates whether CT-based radiomics of CRLM and peritumoral tissue provides a reliable non-invasive estimation of the pathological tumor response to chemotherapy.

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Background & Aims: GD2, a member of the ganglioside (GS) family (sialic acid-containing glycosphingolipids), is a potential biomarker of cancer stem cells (CSC) in several tumours. However, the possible role of GD2 and its biosynthetic enzyme, GD3 synthase (GD3S), in intrahepatic cholangiocarcinoma (iCCA) has not been explored.

Methods: The stem-like subset of two iCCA cell lines was enriched by sphere culture (SPH) and compared to monolayer parental cells (MON).

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Article Synopsis
  • The study investigates the use of Artificial Intelligence (AI) to assess liver fibrosis in patients with Metabolic-Associated Steatotic Hepatitis (MASH) more accurately than traditional methods.
  • Out of 60 patients, biopsies were analyzed using AI technology to measure features like collagen area and entropy, revealing significant differences across fibrosis stages and treatment responses.
  • Results showed that AI could identify changes in fibrosis in 76% of cases post-treatment, suggesting it offers a more reliable way to evaluate disease progression and treatment efficacy.
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Purpose: The spatial variability and clinical relevance of the tumor immune microenvironment (TIME) are still poorly understood for hepatocellular carcinoma (HCC). In this study, we aim to develop a deep learning (DL)-based image analysis model for the spatial analysis of immune cell biomarkers and microscopically evaluate the distribution of immune infiltration.

Experimental Design: Ninety-two HCC surgical liver resections and 51 matched needle biopsies were histologically classified according to their immunophenotypes: inflamed, immune-excluded, and immune-desert.

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Background & Aims: Porto-sinusoidal vascular disorder (PSVD) is a group of vascular disorders characterized by lesions involving portal venules and sinusoids, irrespective of the presence of portal hypertension. Liver biopsy is essential for diagnosis. In a single-center study, we demonstrated high rates of PSVD in patients with persistently elevated gamma-glutamyltransferase (GGT).

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Myocardial revascularization in patients presenting with an anterior mediastinal mass poses considerable challenges. In this report, we outline two cases involving patients with anterior mediastinal masses who underwent surgical resection alongside concurrent myocardial revascularization. One patient underwent coronary artery bypass graft surgery, while the other was treated by percutaneous coronary intervention with drug-eluting stent placement.

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Background: Intrahepatic cholangiocarcinoma (ICC) is an aggressive disease with increasing incidence and its genetic alterations could be the target of systemic therapies.

Aims: To elucidate if radiomics extracted from computed tomography (CT) may non-invasively predict ICC genetic alterations.

Methods: All consecutive patients with a diagnosis of a mass-forming ICC (01/2016-06/2022) were considered.

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Article Synopsis
  • Systemic inflammation plays a crucial role in intrahepatic cholangiocarcinoma (iCCA), and this study investigates the prognostic importance of inflammatory indexes like the neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR).
  • A total of 101 iCCA patients were analyzed, revealing that higher NLR and lower LMR correlate with worse survival outcomes; those with high-risk profiles had significantly lower 5-year overall survival rates compared to low-risk patients.
  • Flow cytometry results showed distinct immune cell profiles, with high-risk patients having more CD4+ T-cells and fewer CD8+ T-cells, suggesting inflammatory indexes can serve as indicators for tumor microenvironment and prognosis
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Background And Aim: VETC (vessel that encapsulate tumor cluster) is a peculiar vascular phenotype observed in hepatocellular carcinoma (HCC), associated with distant metastases and poor outcome. VETC has been linked to the Tie2/Ang2 axis and is characterized by lymphocytes poor (cold) tumor microenvironment (TME). In this setting the role of Tumor Associated Macrophages (TAMs) has never been explored.

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Thymic epithelial tumors (TETs) are rare mediastinal cancers originating from the thymus, classified in two main histotypes: thymoma and thymic carcinoma (TC). TETs affect a primary lymphoid organ playing a critical role in keeping T-cell homeostasis and ensuring an adequate immunological tolerance against "self". In particular, thymomas and not TC are frequently associated with autoimmune diseases (ADs), with Myasthenia Gravis being the most common AD present in 30% of patients with thymoma.

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We report the case of an incidental finding of a huge aneurysm of the ascending aorta with a congenital bicuspid aortic valve type 0-lateral. This severe condition was totally unknown to the patient, who was asymptomatic for cardiovascular disease. The aneurysmal mass involved the entire mediastinum, altering the normal anatomical relations, so the operative strategy was modified intraoperatively, tailoring the surgical technique to the anatomical conditions found.

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Article Synopsis
  • Primary liver cancer can originate from two cell types, leading to different types of tumors: hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICCA), with combined tumors (cHCC-CCA) displaying mixed characteristics.
  • Researchers utilized deep learning to categorize tumors in a study involving 405 cHCC-CCA patients, successfully distinguishing between HCC and ICCA types.
  • This deep learning method showed potential for enhancing treatment strategies and improving patient outcomes for those with complex liver cancers.
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Background & Aims: Intrahepatic cholangiocarcinoma (iCCA) is a primary liver tumour, characterized by poor prognosis and lack of effective therapy. The cytoskeleton protein Filamin A (FLNA) is involved in cancer progression and metastasis, including primary liver cancer. FLNA is cleaved by calpain, producing a 90 kDa fragment (FLNA ) that can translocate to the nucleus and inhibit gene transcription.

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Background: Clinical benefits of atezolizumab plus bevacizumab (atezolizumab-bevacizumab) are observed only in a subset of patients with hepatocellular carcinoma and the development of biomarkers is needed to improve therapeutic strategies. The atezolizumab-bevacizumab response signature (ABRS), assessed by molecular biology profiling techniques, has been shown to be associated with progression-free survival after treatment initiation. The primary objective of our study was to develop an artificial intelligence (AI) model able to estimate ABRS expression directly from histological slides, and to evaluate if model predictions were associated with progression-free survival.

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Background: Inflammation has been associated with tumor development and circulating inflammatory biomarkers have been proposed as possible predictors of recurrence of several solid tumors. However, the role of inflammation markers in differentiated thyroid carcinoma (DTC) is still uncertain.

Objective: This meta-analysis aimed to assess the prognostic value of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in patients with DTC.

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Background And Aims: Differentiating pancreatic cystic lesions (PCLs) remains a diagnostic challenge. The use of high-definition imaging modalities which detect tumor microvasculature have been described in solid lesions. We aim to evaluate the usefulness of cystic microvasculature when used in combination with cyst fluid biochemistry to differentiate PCLs.

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Article Synopsis
  • Surgical resection (SR) is a potential cure for hepatocellular carcinoma (HCC), but high recurrence rates pose a challenge, necessitating the development of better risk stratification tools for predicting recurrence.
  • A new scoring system, called the Early Recurrence Score (ERS), was created from data of 2359 patients who underwent SR for HCC, evaluating factors like alpha-fetoprotein levels and tumor characteristics to forecast 2-year recurrence risk.
  • The ERS effectively stratified patients into four risk categories with good accuracy and can help personalize surveillance and therapy plans post-surgery.
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Purpose: The purpose of this study is to define if tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs) could represent potential predictors of lymph node metastases (LNM) in salivary gland cancers (SGC).

Methods: A selected number of immunohistochemical markers related to TILs (CD3, CD4, CD68, and FOXP3) and TAMs (CD68 and CD163) were investigated on major salivary gland cancers. TIL and TAM densities were measured on digital images using the open-source QuPath both in the tumor interior (TI) and invasive margin (IM).

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Background: The value of Prostate Specific Membrane Antigen (PSMA) in thyroid carcinoma (TC) is still unknown. We aimed to test the potential complementary role of PSMA expression and 2-[F]fluoro-2-deoxy-D-glucose ([F]FDG) uptake on PET/CT as biomarkers for TC outcome prediction.

Materials And Methods: From a retrospective cohort of TC patients we selected those fulfilling the following inclusion/exclusion criteria: thyroidectomy in our Institution, available primary tumor tissue PSMA immunostaining, [F]FDG PET/CT and follow-up data.

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Introduction: Tumor-associated macrophages (TAMs) are key components of a tumoral microenvironment and have been shown to impact prognosis in different cancers. Previously reported data showed that TAM morphology correlates with prognosis in colorectal liver metastases (CLMs) after hepatectomy, with smaller TAMs (S-TAMs) conferring a more favorable prognosis than larger ones (L-TAMs). This study aims to externally validate this finding.

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Cholangiocarcinoma (CCA) is characterized by resistance to chemotherapy and a poor prognosis. Therefore, treatments that can effectively suppress tumor growth are urgently needed. Aberrant activation of hedgehog (HH) signaling has been implicated in several cancers, including those of the hepatobiliary tract.

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Background: Recently, many studies have investigated the role of tumor immune microenvironment (TIME) in carcinogenesis, highlighting its relation to both tumor regression and progression. In particular, the "inflammatory system", made of innate and adaptive immune cells, interacts with cancer cells and their surrounding stroma. In this setting, the aim of this review is to summarize the current literature regarding the TIME of major salivary gland carcinomas (MSGCs), with particular attention on the characteristics and prognostic role of tumor infiltrating lymphocytes (TILs), the mechanisms that lead to TILs exhaustion and the important additional immune infiltrating factors that help SGC progression or remission.

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