Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

[Targeted Therapies for Driver Gene Mutation-positive Lung Cancer Patients with Brain Metastasis].

ABSTRACT: Brain is the most common site of lung cancer metastasis, and the incidenceis are higher if patients have driver gene mutation. Patients with brain metastasis have a poor prognosis; further, different treatment methods affect the disease status and prognosis. In recent years, with the development of precision medicine, gradual progress has been made in treatments for lung cancer patients with brain metastasis, especially for those with driver gene mutations. This review first highlights the challenges of brain metastasis treatments, and then summarizes the research progress regarding targeted therapies for patients with driver gene mutation-positive lung cancer and brain metastasis. This review could help guide clinical decision making for individualized treatment in daily clinical practice.

SUBMITTER: Li W

PROVIDER: S-EPMC6885421 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

[Targeted Therapies for Driver Gene Mutation-positive Lung Cancer Patients with Brain Metastasis].

Li Wenqian W Bai Rilan R Cui Jiuwei J

Zhongguo fei ai za zhi = Chinese journal of lung cancer 20191101 11

Brain is the most common site of lung cancer metastasis, and the incidenceis are higher if patients have driver gene mutation. Patients with brain metastasis have a poor prognosis; further, different treatment methods affect the disease status and prognosis. In recent years, with the development of precision medicine, gradual progress has been made in treatments for lung cancer patients with brain metastasis, especially for those with driver gene mutations. This review first highlights the chall ...[more]

PMID: 31771742

Similar Datasets

Exploration of radiotherapy strategy for brain metastasis patients with driver gene positivity in lung cancer

Project description: Not available

| S-EPMC10905398 | biostudies-literature

Advances in Lung Cancer Driver Genes Associated With Brain Metastasis.

Project description:Brain metastasis, one of the common complications of lung cancer, is an important cause of death in patients with advanced cancer, despite progress in treatment strategies. Lung cancers with positive driver genes have higher incidence and risk of brain metastases, suggesting that driver events associated with these genes might be biomarkers to detect and prevent disease progression. Common lung cancer driver genes mainly encode receptor tyrosine kinases (RTKs), which are important internal signal molecules that interact with external signals. RTKs and their downstream signal pathways are crucial for tumor cell survival, invasion, and colonization in the brain. In addition, new tumor driver genes, which also encode important molecules closely related to the RTK signaling pathway, have been found to be closely related to the brain metastases of lung cancer. In this article, we reviewed the relationship between lung cancer driver genes and brain metastasis, and summarized the mechanism of driver gene-associated pathways in brain metastasis. By understanding the molecular characteristics during brain metastasis, we can better stratify lung cancer patients and alert those at high risk of brain metastasis, which helps to promote individual therapy for lung cancer.

| S-EPMC7848146 | biostudies-literature

[Management of Drug Therapy for Leptomeningeal Metastasis of Sensitive Driver Gene Positive Non-small Cell Lung Cancer].

Project description:Leptomeningeal metastasis (LM) is one of the serious complications of advanced non-small cell lung cancer (NSCLC), although the incidence is not high, the clinical symptoms are severe and the prognosis is poor. LM is prone to occur in patients with positive driver gene than negative. At present, the treatment of LM mainly includes molecular targeted therapy, systemic chemotherapy, whole brain radiotherapy, intrathecal chemotherapy and immunotherapy. Although there are many treatments, the efficacy of LM is still unsatisfactory. This article reviews the drug therapy of sensitive driver gene positive NSCLC LM.

| S-EPMC7467993 | biostudies-literature

Brain metastasis from lung adenocarcinoma patients

Project description:Microarray analysis of 28 brain metastasis samples from lung adenocarcinoma patients. 28 brain metastasis samples: 19 from Marc Ladanyi 9 from William L. Gerald

| S-ECPF-GEOD-14108 | biostudies-other

Brain metastasis from lung adenocarcinoma patients

Project description:Microarray analysis of 28 brain metastasis samples from lung adenocarcinoma patients. 28 brain metastasis samples: 19 from Marc Ladanyi 9 from William L. Gerald

2010-06-17 | E-GEOD-14108 | biostudies-arrayexpress

Deep-targeted gene sequencing reveals ARID1A mutation as an important driver of glioblastoma.

Project description:AimsTo investigate the key factors influencing glioma progression and the emergence of treatment resistance by examining the intrinsic connection between mutations in DNA damage and repair-related genes and the development of chemoresistance in gliomas.MethodsWe conducted a comprehensive analysis of deep-targeted gene sequencing data from 228 glioma samples. This involved identifying differentially mutated genes across various glioma grades, assessing their functions, and employing I-TASSER for homology modeling. We elucidated the functional changes induced by high-frequency site mutations in these genes and investigated their impact on glioma progression.ResultsThe analysis of sequencing mutation results of deep targeted genes in integration revealed that ARID1A gene mutation occurs frequently in glioblastoma and alteration of ARID1A could affect the tolerance of glioma cells to temozolomide treatment. The deletion of proline at position 16 in the ARID1A protein affected the stability of binding of the SWI/SNF core subunit BRG1, which in turn affected the stability of the SWI/SNF complex and led to altered histone modifications in the CDKN1A promoter region, thereby affecting the biological activity of glioma cells, as inferred from modeling and protein interaction analysis.ConclusionThe ARID1A gene is a critical predictive biomarker for glioma. Mutations at the ARID1A locus alter the stability of the SWI/SNF complex, leading to changes in transcriptional regulation in glioma cells. This contributes to an increased malignant phenotype of GBM and plays a pivotal role in mediating chemoresistance.

| S-EPMC11007544 | biostudies-literature

Brain metastasis from lung adenocarcinoma patients

Project description:Microarray analysis of 28 brain metastasis samples from lung adenocarcinoma patients.

2010-06-17 | GSE14108 | GEO

Targeted therapies in brain metastases.

Project description:Opinion statementBrain metastases are a major clinical problem in patients with advanced breast cancer, lung cancer, melanoma, and renal cell carcinoma. Initial treatment for patients with brain metastases typically includes radiotherapy, either whole brain radiotherapy (WBRT), stereotactic radiosurgery (SRS), or both. Surgical resection is generally reserved for good prognosis patients with limited/controlled extracranial metastases and a single brain lesion. Once patients progress through upfront treatment, the treatment approach is quite variable and there is no clearly defined standard-of-care. Over the past decade, the role of systemic therapies and in particular, targeted therapies has been increasingly explored in patients with brain metastases from solid tumors. For example, lapatinib has been studied as monotherapy, and in combination with capecitabine, in patients with HER2-positive breast cancer, and activity has been observed in both the upfront and refractory settings. In patients with nonsmall cell lung cancer (NSCLC), central nervous system (CNS) activity has been reported with gefinitib and erlotinib. Finally, in melanoma, the B-raf inhibitors vemurafenib and dabrafenib, and the immunomodulator, ipilumimab, have reported CNS activity. Moving forward, the challenge will be to understand how to optimize the activity of targeted agents in the CNS and how to best incorporate them into the current treatment paradigms in order to improve outcomes for this patient population.

| S-EPMC3895218 | biostudies-literature

Driver genes as predictive indicators of brain metastasis in patients with advanced NSCLC: EGFR, ALK, and RET gene mutations.

Project description:BackgroundA retrospective analysis verified the role of gene mutations in brain metastasis in patients with non-small cell lung cancer (NSCLC).MethodsData from 552 patients with advanced NSCLC treated from January 2015 to June 2017 in the Affiliated Cancer Hospital of Zhengzhou University were retrospectively analyzed. Next-generation sequencing was used to detect mutations in eight reported driver genes and various risk factors were evaluated.ResultsOf the 552 patients with advanced NSCLC, 153 (27.7%) had brain metastases. The univariate analysis showed that age (P = .008), gender (P = .016), smoking history (P = .010), lymph node metastasis (P = .003), and three driver genes, positive epidermal growth factor receptor (EGFR) mutation (P = .001), positive anaplastic lymphoma kinase (ALK) gene fusion (P = .021), and positive rearranged during transfection (RET) gene fusion (P = .003), were the factors influencing the incidence of brain metastasis. Logistic multivariate regression analysis revealed that positive EGFR mutation (P = .012), positive ALK gene fusion (P = .015), positive RET gene fusion (P = .003), pathological type (P = .009), lymph node N2-3 metastasis (P < .001), and a younger age (P < .001) were independent risk factors for brain metastasis. In addition, a receiver operating characteristic (ROC) curve was plotted with the above factors with an area under the curve = 0.705 (P < .001).ConclusionsAn EGFR mutation, ALK gene fusion, and RET gene fusion in advanced NSCLC patients play roles in brain metastasis as positive driver genes.ImpactAn EGFR mutation, and ALK and RET gene fusions are risk factors for brain metastasis in advanced NSCLC patients.

| S-EPMC6970058 | biostudies-literature

Multi-institutional Oncogenic Driver Mutation Analysis in Lung Adenocarcinoma: The Lung Cancer Mutation Consortium Experience.

Project description:Molecular genetic analyses of lung adenocarcinoma have recently become standard of care for treatment selection. The Lung Cancer Mutation Consortium was formed to enable collaborative multi-institutional analyses of 10 potential oncogenic driver mutations. Technical aspects of testing and clinicopathologic correlations are presented.Mutation testing in at least one of the eight genes (epidermal growth factor receptor [EGFR], KRAS, ERBB2, AKT1, BRAF, MEK1, NRAS, and PIK3CA) using SNaPshot, mass spectrometry, Sanger sequencing+/- peptide nucleic acid and/or sizing assays, along with anaplastic lymphoma kinase (ALK) and/or MET fluorescence in situ hybridization, were performed in six labs on 1007 patients from 14 institutions.In all, 1007 specimens had mutation analysis performed, and 733 specimens had all 10 genes analyzed. Mutation identification rates did not vary by analytic method. Biopsy and cytology specimens were inadequate for testing in 26% and 35% of cases compared with 5% of surgical specimens. Among the 1007 cases with mutation analysis performed, EGFR, KRAS, ALK, and ERBB2 alterations were detected in 22%, 25%, 8.5%, and 2.4% of cases, respectively. EGFR mutations were highly associated with female sex, Asian race, and never-smoking status; and less strongly associated with stage IV disease, presence of bone metastases, and absence of adrenal metastases. ALK rearrangements were strongly associated with never-smoking status and more weakly associated with presence of liver metastases. ERBB2 mutations were strongly associated with Asian race and never-smoking status. Two mutations were seen in 2.7% of samples, all but one of which involved one or more of PIK3CA, ALK, or MET.Multi-institutional molecular analysis across multiple platforms, sample types, and institutions can yield consistent results and novel clinicopathological observations.

| S-EPMC4410843 | biostudies-other

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data