Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Biomarkers for lung cancer

A biomarker, non-small cell lung cancer technology, applied in the direction of biological testing, biochemical equipment and methods, microbial determination/testing, etc., can solve the problems of not recommending patients, supplementing chemotherapy, etc.

Inactive Publication Date: 2014-02-05
NOVARTIS AG
View PDF2 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Current treatment guidelines do not recommend adjuvant chemotherapy for these patients

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Biomarkers for lung cancer
  • Biomarkers for lung cancer
  • Biomarkers for lung cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0099] Combinations of the Novartis dataset and various publicly available datasets from the lung cancer patient cohort were studied. Descriptions of patient selection criteria and clinical characteristics can be found in the respective original articles of publicly available datasets (see below). For the Novartis dataset, 412 patient samples were collected from NSCLC patients who had undergone surgical resection. A standard staging procedure including CT scan, FDG-PET and MRI of suspicious lymph nodes (>1 cm in CT) was completed. NSCLC histological analysis was performed to determine whether NSCLC was squamous cell carcinoma, adenocarcinoma, or other carcinomas such as BAC. TNM-based staging is also performed to determine whether NSCLC is stage I or II. Banks of fresh-frozen tissues were established for genomic analysis. The primary endpoint was overall survival. Overall survival refers to the time (in years) from the first surgery and can be defined by a time period free...

Embodiment 2

[0130] Typical applications of the biomarkers disclosed in Tables 1, 2 and / or 3 with respect to lung cancer patients.

[0131] 1. Surgery to remove the lesion in a patient diagnosed with lung cancer with a small, operable primary tumor. Part of the tumor tissue is examined by standard pathology procedures, such as determination of tumor size, tumor histological type (eg, adenocarcinoma, squamous cell carcinoma, or other types). Tumor staging was determined using standard guidelines based on tumor size, presence of lymph node metastases, or metastases to other distant sites. Information obtained from standard clinicopathological measurements may improve and enhance the prognostic and predictive applications of the present invention, but is not required and is not a component.

[0132] 2. Part of the tumor tissue is used as the source material of the present invention in the form of frozen, paraffin-embedded or fresh tissue. Whole-transcriptome RNA extraction was performed on ...

Embodiment 3

[0149] Application of the label in formalin-fixed paraffin-embedded (FFPE) tumor material.

[0150] After tissue preparation and raw data preprocessing process suitable for each platform, the signatures (gene sets and formulas used to generate risk scores) protected by the present invention can be directly applied to data from technical platforms such as Affymetrix, qNPA or nanoString. express data.

[0151] attached Figure 9 Survival efficacy is shown in a publicly available dataset from Anderson Cancer Center (Xie et al., 2011 Clin Cancer Res 17:5705-14; Gene Expression Omnibus accession GSE29013), obtained from FFPE material. Here, significant prognostic power was still observed, although Affymetrix data from FFPE were generally of lower quality (higher noise level, larger missing calls for expression values).

[0152] To evaluate whether the tagged risk score could provide the same prognostic value in qNPA and nanoString data from FFPE as in Affymetrix from fresh-frozen...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention relates, (in part), to methods for determining a prognosis of early stage lung cancer in an individual using one or more biomarkers.

Description

technical field [0001] The present invention relates to prognostic methods and personalized therapy. Background of the invention [0002] Lung cancer is the most common cancer diagnosis in the world, with 1.5 million new cases in 2007 (Salomon et al., Crit Rev Oncol Hematol., 19:183-232, 1995, SEER-database 05.2010). High morbidity and mortality make it the leading cause of cancer-related death, with over 975,000 deaths per year and a 5-year survival rate of 15% (Salomon et al., supra). Lung cancer can be classified as small cell lung cancer or non-small cell lung cancer (NSCLC). NSCLC accounts for approximately 80% of cases. NSCLC can be further subdivided into several histologic types, the most common being adenocarcinoma (40%) and squamous cell carcinoma (25%). [0003] Current NSCLC treatment is largely based on tumor morphology and a tumor-node-metastasis (TNM)-based staging system that classifies tumors into graded categories (IA, IB, IIA, IIB, IIIA, IIIB) that corr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68
CPCC12Q1/6886C12Q2600/158C12Q2600/112C12Q2600/118G01N33/574C12Q1/68C12N15/11G01N33/53
Inventor E·米希亚格里亚P·维拉帕蒂S·罗西W·克罗尔
Owner NOVARTIS AG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com