Correction: PD-L1 in small bowel adenocarcinoma is associated with etiology and tumor-infiltrating lymphocytes, in addition to microsatellite instability

Giuffrida, Paolo; Arpa, Giovanni; Grillo, Federica; Klersy, Catherine; Sampietro, Giuseppe; Ardizzone, Sandro; Fociani, Paolo; Fiocca, Roberto; Latella, Giovanni; Sessa, Fausto; d’Errico, Angelo; Malvi, Deborah; Mescoli, Claudia; Nesi, Gabriella; Ferrero, Stefano; Furlan, Daniela; Poggioli, Gilberto; Rizzello, Fernando; Macciomei, Maria Cristina; Santini, Donatella; Volta, Umberto; Giorgio, Roberto De; Caio, Giacomo; Calabrò, Antonio; Ciacci, Carolina; D'Armiento, M.; Rizzo, Antonio; Solina, G.; Martino, Michele; Tonelli, F.; Villanacci, Vincenzo; Cannizzaro, Renato; Canzonieri, Vincenzo; Florena, A.M.; Biancone, Livia; Monteleone, Giovanni; Caronna, Roberto; Ciardi, Antonio; Elli, Luca; Caprioli, Flavio; Vecchi, Maurizio; D’Incà, R.; Zingone, Fabiana; D’Odorico, Anna; Lenti, Marco Vincenzo; Oreggia, Barbara; Bonetti, Luca Reggiani; Astegiano, Marco; Biletta, Elena; Cantoro, Laura; Giannone, Antonino Giulio; Orlandi, Armando; Papi, Claudio; Perfetti, Vittorio; Quaquarini, Erica; Sandri, Giancarlo; Silano, Marco; Usai, Paolo; Barresi, Valeria; Ciccocioppo, Rachele; Luinetti, Ombretta; Pedrazzoli, Paolo; Pietrabissa, Andrea; Viglio, Alessandra; Paulli, Marco; Corazza, Gino Roberto; Solcia, Enrico; Vanoli, A.; Sabatino, Antonio Di

doi:10.1038/s41379-020-0512-5

Cited by 4 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Small bowel adenocarcinoma (SBA) is the most common histological type of small bowel tumour, being more common in the duodenum, and is associated with late stage diagnosis, poor prognosis and high mortality rates [ 1 , 2 , 12 , 13 ]. Five year overall survival for early stage disease has been reported to be between 35%– 80%, with 8%– 47% for locally advanced disease and 5% for disseminated disease [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

“…Studies carried out on the tumour and immune microenvironment have shown infiltration of tumour regions by T-lymphocytes have been shown to improve survival in oesophageal, gastric and colorectal cancers among others [ 14 , 18 , 19 ]. Immune checkpoint inhibition by the interaction of Programmed Cell Death Protein-1 (PD-1) and Programmed Cell Death Ligand 1 (PD-L1) in the tumour microenvironment has been shown to impact disease progression in many cancers including oesophageal cancer as well as microsatellite instability-high (MSI-H) gastric and colorectal cancers [ 13 , 14 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…Presence of tumour infiltrating lymphocytes (TILs) and PD-L1 positivity have been reported in SBA with favourable prognostic impact seen in terms of survival. This has led to the proposal for use of such data in the development of immune checkpoint therapy strategies for SBA [ 13 , 14 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…Another study by Liu et al used IHC to analyse the expression of tumour-infiltrating lymphocytes and immune checkpoint markers, including PD-L1 and CTLA-4 [ 24 ]. While microsatellite instability (MSI), mismatch repair deficiency (MMR-d) and tumour mutation load (TML) status have been shown to have favourable prognosis in terms of cancer-specific survival [ 13 , 14 , 25 , 26 ]. In a previous study, we highlighted the molecular profile of SBA and identified genes and pathways that contributed significantly to the pathogenesis of the disease as well as survival outcome [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Exploring the immune microenvironment in small bowel adenocarcinoma using digital image analysis

Sidi,

Bingham,

McQuaid

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

Background Small bowel adenocarcinoma (SBA) is a rare malignancy of the small intestine associated with late stage diagnosis and poor survival outcome. High expression of immune cells and immune checkpoint biomarkers especially programmed cell death ligand-1 (PD-L1) have been shown to significantly impact disease progression. We have analysed the expression of a subset of immune cell and immune checkpoint biomarkers in a cohort of SBA patients and assessed their impact on progression-free survival (PFS) and overall survival (OS). Methods 25 patient samples in the form of formalin fixed, paraffin embedded (FFPE) tissue were obtained in tissue microarray (TMAs) format. Automated immunohistochemistry (IHC) staining was performed using validated antibodies for CD3, CD4, CD8, CD68, PD-L1, ICOS, IDO1 and LAG3. Slides were scanned digitally and assessed in QuPath, an open source image analysis software, for biomarker density and percentage positivity. Survival analyses were carried out using the Kaplan Meier method. Results Varying expressions of biomarkers were recorded. High expressions of CD3, CD4 and IDO1 were significant for PFS (p = 0.043, 0.020 and 0.018 respectively). High expression of ICOS was significant for both PFS (p = 0.040) and OS (p = 0.041), while high PD-L1 expression in tumour cells was significant for OS (p = 0.033). High correlation was observed between PD-L1 and IDO1 expressions (Pearson correlation co-efficient = 1) and subsequently high IDO1 expression in tumour cells was found to be significant for PFS (p = 0.006) and OS (p = 0.034). Conclusions High levels of immune cells and immune checkpoint proteins have a significant impact on patient survival in SBA. These data could provide an insight into the immunotherapeutic management of patients with SBA.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Exploring the immune microenvironment in small bowel adenocarcinoma using digital image analysis

Sidi,

Bingham,

McQuaid

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Immune checkpoint inhibitors (ICIs) can produce clinical responses in some patients with metastatic melanomas [6,7], but the genomic and molecular determinants of response to these agents remain incompletely understood. Although tumor neoantigens and PD-L1 expression have been demonstrated clearly correlated with this response [8,9], other factors from subsets of malignant cells, the microenvironment, and tumor-in ltrating lymphocytes (TILs) may also play essential roles [10] . Classi cation of the immune landscape in tumors depends on both PD-L1 expression and the presence of T cell in ltration, referred to as tumor immunity in microenvironment (TIME) classi cation, which have important implications for the success of anti PD-1/PD-L1 therapy [2].…”

Section: Introductionmentioning

confidence: 99%

Identification of a Prognostic Signature of Malignant Melanoma Based on Tumor Immune Microenvironment Exploration

Yuan¹,

Bing²,

Wang³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: In contrast to identification of well-defined oncogenic alterations like BRAF mutations for malignant melanoma (MM) patient stratification, effective selection of predictive biomarkers remains a challenge in the era of checkpoint blockade.Methods: The differentially expressed genes (DEGs) related to the TME were identified using The Cancer Genome Atlas (TCGA) dataset by Wilcoxon rank sum test. The prognostic effects of immune-related genes (IRGs) were analyzed using univariate Cox regression. Next, the prognostic model was constructed by step multivariate Cox regression and risk score of each sample was calculated. Then, survival and Receiver Operating Characteristic (ROC) analyses were conducted to validate the model using TCGA and the Gene Expression Omnibus (GEO) datasets, respectively. Finally, the overall immune status, tumor purity of high- and low-risk groups was further analyzed to reveal the potential mechanisms of prognostic effects of the model.Results: Twenty eight IRGs were identified, the univariate cox analysis indicated the hazard ratio ranged from 0.796 to 2.621 (p-value < 0.05). 6 genes (SLPI, S100A7, LYZ, CCL19, CXCR4 and CD79A) were screened out by step multivariate cox regression and a 6-IRGs, which can be used as an independent prognostic factor, was constructed. The MM patients in both training (TCGA) and testing (GEO) datasets can be well stratified as high-risk and low-risk groups with the 6-IRGs signature, and the 3-year and 5-year area under curve (AUC) of ROC curves of GEO set were 0.681 and 0.678 (GSE19234). Conclusions: In sum, we identified and constructed a 6-IRGs , which can be used to predict the prognosis of metastasis in MM patients.

show abstract

Association Between Celiac Disease and Cancer

Marafini

Monteleone

Stolfi

2020

IJMS

View full text Add to dashboard Cite

Celiac disease (CD) is a chronic enteropathy that develops in genetically susceptible individuals after the ingestion of gluten. There has been a substantial increase in CD prevalence in the last 50 years, and it is now estimated that this disease affects approximately 1% of the population in the Western world. In the large majority of cases, CD is a benign disease, characterized by the complete resolution of symptoms and a normal life expectancy after the onset of a gluten-free diet (GFD). However, failure to adhere to a strict GFD bears the risk of adverse events and increases mortality. A considerable number of studies have considered the possible association between CD and neoplasms. In particular, an increased risk of malignancies, such as cancers of the gastrointestinal tract and intestinal lymphomas, has been reported. In this review, we summarize and discuss the current evidence on the possible association between CD and cancer.

show abstract

Correction: PD-L1 in small bowel adenocarcinoma is associated with etiology and tumor-infiltrating lymphocytes, in addition to microsatellite instability

Cited by 4 publications

References 0 publications

Exploring the immune microenvironment in small bowel adenocarcinoma using digital image analysis

Exploring the immune microenvironment in small bowel adenocarcinoma using digital image analysis

Identification of a Prognostic Signature of Malignant Melanoma Based on Tumor Immune Microenvironment Exploration

Association Between Celiac Disease and Cancer

Contact Info

Product

Resources

About