A clinico-biological Risk Assessment Model for VTE in ambulatory patients with lung adenocarcinoma on chemotherapy issued from the ROADMAP study.

Objective. A survival risk assessment model associated with a lung adenocarcinoma (LUAD) microenvironment was established and evaluated to identify effective independent prognostic factors for LUAD. Methods. The public data were downloaded from the TCGA database, and ESTIMATE prediction software was used to score immune cells and stromal cells for tumor purity prediction. The samples were divided into the high-score group and the low-score group by the median value of the immune score (or stromal score). The Wilcoxon test was used for differential analysis. GO and KEGG enrichment analysis of differentially expressed genes (DEGs) was performed using “clusterProfiler” of R package. Meanwhile, univariate and multivariate regression analysis was performed on DEGs to construct a multivariate Cox risk regression model with variable gene expression levels as independent prognostic factors affecting a tumor microenvironment (TME) and tumor immunity. Results. This study found that LUAD patients with high immune cell (stromal cell) infiltration had better prognosis and were in earlier staging. Functional enrichment analysis revealed that most DEGs were related to the proliferation and activation of immune cells or stromal cells. A survival prediction model composed of 6 TME-related genes (CLEC17A, TAGAP, ABCC8, BCAN, FLT3, and CCR2) was established, and finally, the 6 feature genes closely related to the prognosis of LUAD were proved. The AUC value of the ROC curve in this model was 0.7, indicating that the model was reliable. Conclusion. Six genes related to the LUAD microenvironment have a predictive prognostic value in LUAD.

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The Construction And Analysis of ceRNA Network And Patterns of Immune Infiltration In Lung Adenocarcinoma

10.21203/rs.3.rs-611562/v1 ◽

2021 ◽

Author(s):

Jinglong Li ◽

Wenyao Liu ◽

Xiaocheng Dong ◽

Yunfeng Dai ◽

Shaoshen Chen ◽

...

Keyword(s):

Risk Assessment ◽

Lung Adenocarcinoma ◽

Immune Cells ◽

Risk Groups ◽

Low Risk ◽

Assessment Model ◽

Risk Assessment Model ◽

Clinical Specimens ◽

Cerna Network ◽

Key Genes

Abstract Background: Lung adenocarcinoma (LUAD) is the most common one of lung cancer. Competitive endogenous RNA (ceRNA) may be closely associated with tumor progression. However, studies on ceRNAs and immune cells in LUAD are scarce. Method: The profiles of gene expression and clinical data of LUAD patients were extracted from the TCGA database and separated into two categories: LUADs and adjacent normal tissues. Bioinformatics methods were used to evaluate differentially expressed genes (DEGs) and form a ceRNA network. Preliminary verification of clinical specimens was employed to detect the expressions of key biomarkers at the tissue level. Cox and Lasso regressions were used to screen the key genes and halt overfitting, upon which the prognosis prediction nomograms were formed. The interconnection between the risk score and immune components was evaluated using the CIBERSORT algorithm, while the conformation of notable tumor-infiltrating immune cells (TIICs) in the LUAD tissues of the high- and the low-risk group was assessed using the RNA transcript relative subgroup for identifying the tissue types. Finally, co-expression study was used to examine the interconnection between the key genes in the ceRNA networks and the immune cells.Result: A ceRNA network of 115 RNAs was established, and nine key genes were screened to construct a Cox proportional-hazard model for making a prognostic nomogram. This risk-assessment model might serve as an unconstrained factor to forecast the prognosis of LUAD, and it was consistent with the preliminary verification of clinical specimens. The CIBERSORT algorithm was used to screen four highly expressed LUAD-related immune infiltrating cells, identifying five immune cells with significant differences in the LUAD tissues of the high- and low-risk groups. Besides, two pairs of biomarkers associated with the growth of LUAD were found, i.e., E2F7 and macrophage M1 (R = 0.419, p = 1.4e-08) and DBF4 and macrophage M1 (R = 0.282, p < 2.2 e-16); they appeared to be co-expressed.Conclusion: This study identified several important ceRNAs (E2F7 and BNF4) and TIICs (macrophage M1), which might be related to the development and prognosis of LUAD. The established risk-assessment model might help better clinical management.

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Evaluation of cancer-associated thrombosis risk in patients with lung adenocarcinoma using the COMPASS-CAT risk assessment model

10.1183/13993003.congress-2021.pa3854 ◽

2021 ◽

Author(s):

Miltiadis Chrysanthidis ◽

Andriani Charpidou ◽

Evangelos Dimakakos ◽

Dimitra Grapsa ◽

Petros Bakakos ◽

...

Keyword(s):

Risk Assessment ◽

Lung Adenocarcinoma ◽

Assessment Model ◽

Risk Assessment Model ◽

Thrombosis Risk ◽

Cancer Associated Thrombosis

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A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma

BMC Cancer ◽

10.1186/s12885-020-07235-z ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Hanliang Jiang ◽

Shan Xu ◽

Chunhua Chen

Keyword(s):

Risk Assessment ◽

Lung Adenocarcinoma ◽

Gene Signature ◽

Assessment Model ◽

Risk Assessment Model

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Risk assessment model for venous thromboembolism in hospitalized surgical and non-surgical patients in the 4th Hungarian Antithrombotic Guidelines entitled “Diminution and Treatment of Venous Thromboembolism”

Orvosi Hetilap ◽

10.1556/oh.2010.28944 ◽

2010 ◽

Vol 151 (34) ◽

pp. 1365-1374 ◽

Cited By ~ 1

Author(s):

Marianna Dávid ◽

Hajna Losonczy ◽

Miklós Udvardy ◽

Zoltán Boda ◽

György Blaskó ◽

...

Keyword(s):

Risk Assessment ◽

Venous Thromboembolism ◽

Assessment Model ◽

Surgical Patients ◽

Risk Assessment Model

A kórházban kezelt sebészeti és belgyógyászati betegekben jelentős a vénásthromboembolia-rizikó. Profilaxis nélkül, a műtét típusától függően, a sebészeti beavatkozások kapcsán a betegek 15–60%-ában alakul ki mélyvénás trombózis vagy tüdőembólia, és az utóbbi ma is vezető kórházi halálok. Bár a vénás thromboemboliát leggyakrabban a közelmúltban végzett műtéttel vagy traumával hozzák kapcsolatba, a szimptómás thromboemboliás események 50–70%-a és a fatális tüdőembóliák 70–80%-a nem a sebészeti betegekben alakul ki. Nemzetközi és hazai felmérések alapján a nagy kockázattal rendelkező sebészeti betegek többsége megkapja a szükséges trombózisprofilaxist. Azonban profilaxis nélkül marad a rizikóval rendelkező belgyógyászati betegek jelentős része, a konszenzuson alapuló nemzetközi és hazai irányelvi ajánlások ellenére. A belgyógyászati betegek körében növelni kell a profilaxisban részesülők arányát és el kell érni, hogy trombózisrizikó esetén a betegek megkapják a hatásos megelőzést. A beteg trombóziskockázatának felmérése fontos eszköze a vénás thromboembolia által veszélyeztetett betegek felderítésének, megkönnyíti a döntést a profilaxis elrendeléséről és javítja az irányelvi ajánlások betartását. A trombózisveszély megállapításakor, ha nem ellenjavallt, profilaxist kell alkalmazni. „A thromboemboliák kockázatának csökkentése és kezelése” című, 4. magyar antithromboticus irányelv felhívja a figyelmet a vénástrombózis-rizikó felmérésének szükségességére, és elsőként tartalmazza a kórházban fekvő belgyógyászati és sebészeti betegek kockázati kérdőívét. Ismertetjük a kockázatbecslő kérdőíveket és áttekintjük a kérdőívekben szereplő rizikófaktorokra vonatkozó bizonyítékokon alapuló adatokat.

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Signature Analysis: Statistical Models and Their Application to FA

ISTFA 1996: Conference Proceedings from the 22nd International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa1996p0183 ◽

1996 ◽

Author(s):

C.K. Lakshminarayan ◽

S. Pabbisetty ◽

O. Adams ◽

F. Pires ◽

M. Thomas ◽

...

Keyword(s):

Risk Assessment ◽

Failure Analysis ◽

Statistical Models ◽

Essential Elements ◽

Assessment Model ◽

Signature Analysis ◽

Risk Assessment Model ◽

Sample Sizes ◽

Reliability Engineering ◽

Semiconductor Chips

Abstract This paper deals with the basic concepts of Signature Analysis and the application of statistical models for its implementation. It develops a scheme for computing sample sizes when the failures are random. It also introduces statistical models that comprehend correlations among failures that fail due to the same failure mechanism. The idea of correlation is important because semiconductor chips are processed in batches. Also any risk assessment model should comprehend correlations over time. The statistical models developed will provide the required sample sizes for the Failure Analysis lab to state "We are A% confident that B% of future parts will fail due to the same signature." The paper provides tables and graphs for the evaluation of such a risk assessment. The implementation of Signature Analysis will achieve the dual objective of improved customer satisfaction and reduced cycle time. This paper will also highlight it's applicability as well as the essential elements that need to be in place for it to be effective. Different examples have been illustrated of how the concept is being used by Failure Analysis Operations (FA) and Customer Quality and Reliability Engineering groups.

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