PCFENCM · Pan-cancer functional evaluation of non-coding DNA mutations
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2017-01-01 → 2019-12-31
- Финансиране от ЕС
- 251 858 €
- Участници
- 2
- Схема
- MSCA-IF
Линиите свързват координатора с партньорите.
Накратко на български
Мутациите в некодиращата част на ДНК, като големите структурни промени в генома, се анализират при различни видове рак. Това помага за по-доброто разбиране на генетичните процеси, които причиняват заболяването, отвъд промените само в протеиново-кодиращите гени.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Pan-cancer functional evaluation of non-coding DNA mutations
Cancer is a genetic disease that arises from the accumulation of somatic alterations (mutations) in the DNA of the cells. Somatic mutations in human cancers come in many ways, from base substitutions to the loss or duplication of entire chromosomes. The advent of Next Generation Sequencing (NGS) over the last decade has permitted the analysis of human cancers at an unprecedented resolution. Traditionally, studies of cancer mutations have focused on the analysis of protein-coding mutations using Sanger, targeted or exome sequencing (that is, the analysis of mutations in genes). Although the study of mutations in genes using these sequencing modalities, especially those in cancer-related and tumor suppressors, provide a great amount of information to guide therapeutic intervention and to characterize the mutational processes operative in cancer cells, such approaches do not permit to study the non-coding genome (~98% of the genome), whose relevance for disease (not only cancer) is becoming more and more apparent. Moreover, these technologies do not permit the study of the large structural alterations of the genome, which are a hallmark of cancer, at base resolution. This is due to the fact that structural alterations often map to the non-coding genome. The analysis of the entire genome of cancer cells using whole-genome sequencing (WGS) has been hampered by technical limitations, data analysis limitations and sequencing cost. Today, given the decrease in sequencing costs and the increase in computational power and data storage capabilities cloud-computing capabilities, whole-genome sequencing of large collections of tumors has become feasible. The overall goal of this project is to study genomic rearrangements in human cancers on a genome-wide basis using whole-genome sequencing. Whole-genome analysis of tumors will enable the characterization of the large-scale mutational processes operative in human tumors and establish their role in cancer progression. Finally, interrogating the entire genome of human tumors will also permit to assess the relevance and practical usefulness of whole-genome sequencing for biomarker discovery and cancer subtype diagnosis in clinical settings.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
The functional evaluation of cancer mutations has been largely restricted to the protein-coding genome, due to our lack of (i) whole-genome sequence data for cancer genomes, and (ii) knowledge about the function of the non-coding genome. However, more recently the function of the non-coding genome has been largely annotated by the ENCODE project, where large consortia are profiling thousands of tumor and matched non-neoplastic tissue samples at the genomic, proteomic and epigenomic levels.Previous studies have shown that (i) over 90% of the disease-associated loci identified with genome-wide association studies (GWAS) lie within the non-coding genome, and (ii) non-coding mutations are frequent in cancer. Nevertheless, few studies have evaluated the role of genetic variation in the non-coding genome in cancer development and progression, and therefore, the landscape of non-coding mutations in cancer remains uncharted territory. Moreover, there are no studies yet relating variation or mutations within the non-coding genome to the sensitivity to drugs, and this is hence the purpose of the work described here.Using genome-wide sequence, epigenomic, transcriptomic, proteomic and eQTL data from (i) over 2,000 whole cancer genomes, (ii) over 10,000 tumor and matched non-neoplastic tissue samples spanning 25 tumor types, and (iii) the ENCODE project, I aim to build a comprehensive map of non-coding mutations across the most prevalent cancer types. Subsequently, this map will be integrated with pharmacological profiles of small molecules in predictive models, thus allowing to identify genetic variants and mutations associated to drug efficacy and resistance across cancers. This work will help unravel the impact of non-coding mutations on genome regulation and gene expression, to disambiguate the contributions of somatic mutations and inherited genetic polymorphisms to cancer susceptibility, and to relate mutations in the non-coding genome to drug efficacy.
Оригинален текст от CORDIS (на английски).
Участници
- THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE · CAMBRIDGEКоординаторОбединеното кралство
- PRESIDENT AND FELLOWS OF HARVARD COLLEGE · CambridgeСъединени щати
Връзки
Данни: CORDIS, © Европейски съюз
