Novel therapeutic targets on the horizon for lung cancer

WL Tan, A Jain, A Takano, EW Newell, NG Iyer… - The Lancet …, 2016 - thelancet.com
Lung cancer is a leading cause of cancer-related mortality worldwide, and is classically
divided into two major histological subtypes: non-small-cell lung cancer (NSCLC) and small …

Genetic basis for clinical response to CTLA-4 blockade in melanoma

A Snyder, V Makarov, T Merghoub… - … England Journal of …, 2014 - Mass Medical Soc
Background Immune checkpoint inhibitors are effective cancer treatments, but molecular
determinants of clinical benefit are unknown. Ipilimumab and tremelimumab are antibodies …

Gene expression profiling as a potential tool for precision oncology in non-small cell lung cancer

S Hijazo-Pechero, A Alay, R Marín, N Vilariño… - Cancers, 2021 - mdpi.com
Simple Summary It is already known that DNA alterations do not fully recapitulate the
complex nature of a tumor or its potential interaction with specific treatments. Therefore, in …

Identification of a multi-cancer gene expression biomarker for cancer clinical outcomes using a network-based algorithm

E Martinez-Ledesma, RGW Verhaak, V Treviño - Scientific reports, 2015 - nature.com
Cancer types are commonly classified by histopathology and more recently through
molecular characteristics such as gene expression, mutations, copy number variations and …

[HTML][HTML] Identification of a sixteen-gene prognostic biomarker for lung adenocarcinoma using a machine learning method

B Ma, Y Geng, F Meng, G Yan, F Song - Journal of Cancer, 2020 - ncbi.nlm.nih.gov
Objectives: Lung adenocarcinoma (LUAD) accounts for a majority of cancer-related deaths
worldwide annually. The identification of prognostic biomarkers and prediction of prognosis …

Validation of a proliferation-based expression signature as prognostic marker in early stage lung adenocarcinoma

II Wistuba, C Behrens, F Lombardi, S Wagner… - Clinical Cancer …, 2013 - AACR
Purpose: New prognostic markers to guide treatment decisions in early stage non–small cell
lung cancer are necessary to improve patient outcomes. In this report, we assess the utility of …

Stem cell-like ALDHbright cellular states in EGFR-mutant non-small cell lung cancer: A novel mechanism of acquired resistance to erlotinib targetable with the natural …

B Corominas-Faja, C Oliveras-Ferraros, E Cuyas… - Cell cycle, 2013 - Taylor & Francis
The enrichment of cancer stem cell (CSC)-like cellular states has not previously been
considered to be a causative mechanism in the generalized progression of EGFR-mutant …

Integrating tumor and stromal gene expression signatures with clinical indices for survival stratification of early-stage non–small cell lung cancer

AJ Gentles, SV Bratman, LJ Lee… - Journal of the …, 2015 - academic.oup.com
Background: Accurate survival stratification in early-stage non–small cell lung cancer
(NSCLC) could inform the use of adjuvant therapy. We developed a clinically implementable …

Feature ranking importance from multimodal radiomic texture features using machine learning paradigm: A biomarker to predict the lung cancer

SO Shim, MH Alkinani, L Hussain, W Aziz - Big Data Research, 2022 - Elsevier
The machine learning based techniques for detection of lungs cancer can assist the
clinicians in assessing the risk of pulmonary nodules being malignant. We are developing …

Gene expression signature of non-involved lung tissue associated with survival in lung adenocarcinoma patients

A Galvan, E Frullanti, M Anderlini, G Manenti… - …, 2013 - academic.oup.com
Lung adenocarcinoma patients of similar clinical stage and undergoing the same treatments
often have marked interindividual variations in prognosis. These clinical discrepancies may …