Publications related to Prognosis

Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

Jiancheng Yang, Li Zhang, Lin Chen, Qiong Li, Ying Zhu

Objectives To evaluate the performance of automatic deep learning (DL) algorithm for size, mass, and volume measurements in predicting prognosis of lung adenocarcinoma (LUAD) and compared with manual measurements. ...

SPRINGER2023

CellCharter reveals spatial cell niches associated with tissue remodeling and cell plasticity

Daniele Tavernari, Albert Santamaria Martinez, Giovanni Ciriello

Tissues are organized in cellular niches, the composition and interactions of which can be investigated using spatial omics technologies. However, systematic analyses of tissue composition are challenged by the scale and diversity of the data. Here we pres ...

Nature Portfolio2023

A meta-learning approach for genomic survival analysis

Arnout Jan J Devos

RNA sequencing has emerged as a promising approach in cancer prognosis as sequencing data becomes more easily and affordably accessible. However, it remains challenging to build good predictive models especially when the sample size is limited and the numb ...

Nature Research2020

In-flow measurement of cell-cell adhesion using oscillatory inertial microfluidics

Kevin Keim

Multicellular clusters in circulation can exhibit a substantially different function and biomarker significance compared to individual cells. Notably, clusters of circulating tumor cells (CTCs) are much more effective initiators of metastasis than single C ...

ROYAL SOC CHEMISTRY2020

Silencing of CEBPB-AS1 modulates CEBPB expression and resensitizes BRAF-inhibitor resistant melanoma cells to vemurafenib

Rita Valador Fernandes

Introduction of targeted therapy in the treatment of metastatic cutaneous malignant melanoma (CMM) has improved clinical outcome during the last years. However, only in a subset of the CMM patients, this will lead to long-term effects. CEBPB is a transcrip ...

LIPPINCOTT WILLIAMS & WILKINS2020

TGFBI modulates tumour hypoxia and promotes breast cancer metastasis

Albert Santamaria Martinez

Breast cancer metastasis is a complex process that depends not only on intrinsic characteristics of metastatic stem cells, but also on the particular microenvironment that supports their growth and modulates the plasticity of the system. In search for micr ...

2020

Method for determining cancer invasiveness and patient prognosis

Douglas Hanahan, Leanne Li

A method for determining the prognosis for survival of a patient having cancer is disclosed, said cancer being altered (i.e. highly activated or alternatively inactive/inhibited) in the NMDAR signalling pathway, said method comprising determining the expre ...

2019

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Adrien Raphaël Depeursinge

We propose an approach for characterizing structural heterogeneity of lung cancer nodules using Computed Tomography Texture Analysis (CTTA). Measures of heterogeneity were used to test the hypothesis that heterogeneity can be used as predictor of nodule ma ...

Nature Research2019

Is detection of intraperitoneal exfoliated tumor cells after surgical resection of rectal cancer a prognostic factor of survival?

Paul Refinetti, Per Olaf Ekstrom

Background: The prognostic significance of free cancer cells detected in peritoneal fluid at the time of rectal surgery remains unclear. A substantial number of patients will develop metastatic disease even with successful local treatment. This prospective ...

2017

Elucidating the role of lymphatic vessels within the tumor microenvironment of breast cancer

Ingrid Maria van Mier

Breast cancer is the most common cancer in women worldwide, with an estimated 1.7 million newly diagnosed cases in 2012. Despite the many clinical manifestations, metastatic disease is the main cause of death, and is responsible for 90% of all breast cance ...

EPFL2017

Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients

Haleh Yasrebi

Microarray gene expression data sets are jointly analyzed to increase statistical power. They could either be merged together or analyzed by meta-analysis. For a given ensemble of data sets, it cannot be foreseen which of these paradigms, merging or meta-a ...

Oxford Univ Press2016

Improvement of Neuroenergetics by Hypertonic Lactate Therapy in Patients with Traumatic Brain Injury Is Dependent on Baseline Cerebral Lactate/Pyruvate Ratio

Pierre Magistretti, Reto Meuli, Luc Pellerin

Energy dysfunction is associated with worse prognosis after traumatic brain injury (TBI). Recent data suggest that hypertonic sodium lactate infusion (HL) improves energy metabolism after TBI. Here, we specifically examined whether the efficacy of HL (3h i ...

Mary Ann Liebert2016

Colorectal cancer classification with differential prognosis and personalized therapeutic responses

Douglas Hanahan, Anguraj Sadanandam

The present invention relates to gene sets, the expression levels of which are useful for classifying colorectal tumors and predicting disease-free prognosis and response of patients to specific therapies that are either novel or currently available in the ...

2015

A colorectal cancer classification system that associates cellular phenotype and responses to therapy

Douglas Hanahan, Krisztian Homicsko, Anguraj Sadanandam, Stephan Wullschleger

Colorectal cancer (CRC) is a major cause of cancer mortality. Whereas some patients respond well to therapy, others do not, and thus more precise, individualized treatment strategies are needed. To that end, we analyzed gene expression profiles from 1,290 ...

Nature Publishing Group2013

Prediction of Survival and Risk Assessment Using Joint Analysis of Microarray Gene Expression Data

Haleh Yasrebi

Gene expression profiles have been widely used in molecular classification, diagnosis and prediction, particularly in the area of oncology where accurate and early diagnosis is needed for appropriate treatment. Avoiding under-/over-treatment when it is not ...

EPFL2010