IL-11 and CCL-1: Novel Protein Diagnostic Biomarkers of Lung Adenocarcinoma in Bronchoalveolar Lavage Fluid (BALF)

Pastor, María Dolores; Nogal, Ana; Molina-Pinelo, Sonia; Quintanal-Villalonga, Àlvaro; Meléndez, Ricardo; Ferrer, Irene; Romero-Romero, Beatrice; Miguel, Maria J. de; Lόpez-Campos, José Luís; Corral, J.; García-Carboner, Rocío; Carnero, Amancio; Paz‐Ares, Luis

doi:10.1016/j.jtho.2016.07.026

Cited by 19 publications

(14 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, we analyzed a series of human cervix, breast and lung tumor samples [ 23 , 33 , 34 ], finding that MAP17 -positive tumors usually correlated with higher levels of inflammatory infiltration (Figure 1A ). Although the quantity of inflammatory cells infiltrating the tumor varied among the different tumor samples, it was clearly detected that, in these tumor types, MAP17 is significantly associated with inflammation (p < 0.05) (Figure 1B ).…”

Section: Resultsmentioning

confidence: 99%

“…Indeed, some such diseases, like psoriasis, can reduce the probability of cancer [ 78 ]. In this regard, it is interesting to remark that when MAP17 is overexpressed in naïve cells, these undergo senescence [ 33 ], therefore affecting the ration of tumor initiation. How MAP17 expression may affect different tissues needs to be thoroughly studied.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The cargo protein MAP17 (PDZK1IP1) regulates the immune microenvironment

García-Heredia

Carnero

2017

Oncotarget

Self Cite

View full text Add to dashboard Cite

Inflammation is a complex defensive response activated after various harmful stimuli allowing the clearance of damaged cells and initiating healing and regenerative processes. Chronic, or pathological, inflammation is also one of the causes of neoplastic transformation and cancer development. MAP17 is a cargo protein that transports membrane proteins from the endoplasmic reticulum. Therefore, its overexpression may be linked to an excess of membrane proteins that may be recognized as an unwanted signal, triggering local inflammation. Therefore, we analyzed whether its overexpression is related to an inflammatory phenotype. In this work, we found a correlation between MAP17 expression and inflammatory phenotype in tumors and in other inflammatory diseases such as Crohn's disease, Barrett's esophagus, COPD or psoriasis. MAP17 expression correlated also with the markers of inflammation HLAs, BBS10, HERC2, ADNP and PYCARD. Furthermore, we found that MAP17 expression directly regulates NFAT2 and IL-6 activation, inducing the differentiation of monocytes to dendritic cells and suggesting a causal role of MAP17 in inflammation. Immunohistochemistry confirms local inflammation, mainly CD45+ cells, at the site of expression of MAP17, at least in tumors, Crohn's and psoriasis. Therefore, our data indicates that the overexpression of the protein MAP17 plays important role in diseases involving chronic inflammation.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The cargo protein MAP17 (PDZK1IP1) regulates the immune microenvironment

García-Heredia

Carnero

2017

Oncotarget

Self Cite

View full text Add to dashboard Cite

show abstract

“…One approach to overcome this problem is to analyse more proximal biofluids such as saliva, urine, exhaled breath condensate and bronchoalveolar lavage fluid (BALF) [24], [25], [26], [27], [28]. Proximal biofluids have a much reduced dynamic range of protein abundances and in some cases are in direct contact with the site of the disease [29].…”

Section: Introductionmentioning

confidence: 99%

Proteomic analysis of bronchoalveolar lavage fluid (BALF) from lung cancer patients using label-free mass spectrometry

et al. 2017

View full text Add to dashboard Cite

BackgroundLung cancer is the leading cause of cancer-related mortality in both men and women throughout the world. The need to detect lung cancer at an early, potentially curable stage, is essential and may reduce mortality by 20%. The aim of this study was to identify distinct proteomic profiles in bronchoalveolar fluid (BALF) and plasma that are able to discriminate individuals with benign disease from those with non-small cell lung cancer (NSCLC).MethodsUsing label-free mass spectrometry analysis of BALF during discovery-phase analysis, a significant number of proteins were found to have different abundance levels when comparing control to adenocarcinoma (AD) or squamous cell lung carcinoma (SqCC). Validation of candidate biomarkers identified in BALF was performed in a larger cohort of plasma samples by detection with enzyme-linked immunoassay.ResultsFour proteins (Cystatin-C, TIMP-1, Lipocalin-2 and HSP70/HSPA1A) were selected as a representative group from discovery phase mass spectrometry BALF analysis. Plasma levels of TIMP-1, Lipocalin-2 and Cystatin-C were found to be significantly elevated in AD and SqCC compared to control.ConclusionThe results presented in this study indicate that BALF is an important proximal biofluid for the discovery and identification of candidate lung cancer biomarkers.General significanceThere is good correlation between the trend of protein abundance levels in BALF and that of plasma which validates this approach to develop a blood biomarker to aid lung cancer diagnosis, particularly in the era of lung cancer screening. The protein signatures identified also provide insight into the molecular mechanisms associated with lung malignancy.

show abstract

“…In addition, IL-6/11 is one of the highly specific biomarkers with great accuracy for the diagnosis of lung adenocarcinoma in bronchoalveolar lavage fluid specimens. 49 The molecular mechanism of IL-11 in esophageal adenocarcinoma is the focus of our future research. NPTX1 is a member of the pentraxin family and a major risk factor for nervous system disorders, 50 and its downregulation expression has been reported in many cancers.…”

Section: Discussionmentioning

confidence: 99%

Multivariate gene expression‐based survival predictor model in esophageal adenocarcinoma

et al. 2020

View full text Add to dashboard Cite

Background: Despite the recent development of molecular-targeted treatment and immunotherapy, survival of patients with esophageal adenocarcinoma (EAC) with poor prognosis is still poor due to lack of an effective biomarker. In this study, we aimed to explore the ceRNA and construct a multivariate gene expression predictor model using data from The Cancer Genome Atlas (TCGA) to predict the prognosis of EAC patients. Methods: We conducted differential expression analysis using mRNA, miRNA and lncRNA transciptome data from EAC and normal patients as well as corresponding clinical information from TCGA database, and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of those unique differentially expressed mRNAs using the Integrate Discovery Database (DAVID) database. We then constructed the lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network of EAC and used Cox proportional hazard analysis to generate a multivariate gene expression predictor model. We finally performed survival analysis to determine the effect of differentially expressed mRNA on patients' overall survival and discover the hub gene. Results: We identified a total of 488 lncRNAs, 33 miRNAs, and 1207 mRNAs with differentially expressed profiles. Cox proportional hazard analysis and survival analysis using the ceRNA network revealed four genes (IL-11, PDGFD, NPTX1, ITPR1) as potential biomarkers of EAC prognosis in our predictor model, and IL-11 was identified as an independent prognostic factor. Conclusions: In conclusion, we identified differences in the ceRNA regulatory networks and constructed a four-gene expression-based survival predictor model, which could be referential for future clinical research.

show abstract

IL-11 and CCL-1: Novel Protein Diagnostic Biomarkers of Lung Adenocarcinoma in Bronchoalveolar Lavage Fluid (BALF)

Abstract: IL-11 and CCL-1 are highly specific biomarkers with great accuracy for the diagnosis of lung adenocarcinoma in BALF specimens. Further study of these proteins as markers for the early diagnosis and screening of plasma and other biological materials is warranted.

Cited by 19 publications

References 34 publications

The cargo protein MAP17 (PDZK1IP1) regulates the immune microenvironment

The cargo protein MAP17 (PDZK1IP1) regulates the immune microenvironment

Proteomic analysis of bronchoalveolar lavage fluid (BALF) from lung cancer patients using label-free mass spectrometry

Multivariate gene expression‐based survival predictor model in esophageal adenocarcinoma

Contact Info

Product

Resources

About