CLLue: Searching for connections among clinical, biological, and molecular features in the dataset of leukemia patients.

REIGL, Tomáš, Veronika NAVRKALOVÁ, Jakub Paweł PORC, Karol PÁL, Kamila STRÁNSKÁ, Šárka POSPÍŠILOVÁ and Karla PLEVOVÁ. CLLue: Searching for connections among clinical, biological, and molecular features in the dataset of leukemia patients. In EMBL Conference Cancer Genomics 2023, Heidelberg, Německo. 2023.

Basic information

• Original name: CLLue: Searching for connections among clinical, biological, and molecular features in the dataset of leukemia patients.
• Authors: REIGL, Tomáš (203 Czech Republic, belonging to the institution), Veronika NAVRKALOVÁ (203 Czech Republic, belonging to the institution), Jakub Paweł PORC (616 Poland, belonging to the institution), Karol PÁL (703 Slovakia, belonging to the institution), Kamila STRÁNSKÁ (203 Czech Republic, belonging to the institution), Šárka POSPÍŠILOVÁ (203 Czech Republic, guarantor) and Karla PLEVOVÁ (203 Czech Republic, belonging to the institution).
• Edition: EMBL Conference Cancer Genomics 2023, Heidelberg, Německo, 2023.

Other information

• Original language: English
• Type of outcome: Conference abstract
• Field of Study: 30204 Oncology
• Country of publisher: Germany
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• RIV identification code: RIV/00216224:14740/23:00132956
• Organization unit: Central European Institute of Technology
• Keywords in English: chronic lymphocytic leukemia; visualizations in CLLue
• Tags: rivok
• Tags: International impact, Reviewed

Abstract

Today’s analytic techniques produce extensive molecular biological and genetic information for every tumor sample. Understanding the significance of each feature and its connections with a patient's clinical history is one of the greatest challenges. Advanced computational approaches can provide such information, leading to the discovery of novel attributes critical for diagnosis and potentially new classifiers for categorizing patients into distinct groups. We investigated such attributes in a local dataset of patients with chronic lymphocytic leukemia (CLL).

Links

• LM2018140, research and development project: Name: e-Infrastruktura CZ (Acronym: e-INFRA CZ)

Investor: Ministry of Education, Youth and Sports of the CR

• LX22NPO5102, research and development project: Name: Národní ústav pro výzkum rakoviny (Acronym: NÚVR)

Investor: Ministry of Education, Youth and Sports of the CR, National institute for cancer research, 5.1 EXCELES

• NU21-08-00237, research and development project: Name: Pokročilé sekvenační metody pro analýzu strukturních přestaveb nádorového genomu

Investor: Ministry of Health of the CR, Advanced sequencing methods for deciphering structural variants in cancer genome, Subprogram 1 - standard

• NU22-08-00227, research and development project: Name: Pokročilé molekulární analýzy pro komplexní diagnostiku a monitorování pacientů s difúzním velkobuněčným B-lymfomem: využití profilování genové exprese, tekutých biopsií a sekvenování třetí generace

Investor: Ministry of Health of the CR, Advanced molecular testing for aggregate diagnosis and management of DLBCL patients: engagement of gene expression profiling, liquid biopsy and long-read sequencing, Subprogram 1 - standard