↓ Skip to main content

Intra-tumor heterogeneity in TP53 null High Grade Serous Ovarian Carcinoma progression

Overview of attention for article published in BMC Cancer, November 2015
Altmetric Badge

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
56 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Intra-tumor heterogeneity in TP53 null High Grade Serous Ovarian Carcinoma progression
Published in
BMC Cancer, November 2015
DOI 10.1186/s12885-015-1952-z
Pubmed ID
Authors

Alba Mota, Juan Carlos Triviño, Alejandro Rojo-Sebastian, Ángel Martínez-Ramírez, Luis Chiva, Antonio González-Martín, Juan F. Garcia, Pablo Garcia-Sanz, Gema Moreno-Bueno

Abstract

High grade serous ovarian cancer is characterised by high initial response to chemotherapy but poor outcome in the long term due to acquired resistance. One of the main genetic features of this disease is TP53 mutation. The majority of TP53 mutated tumors harbor missense mutations in this gene, correlated with p53 accumulation. TP53 null tumors constitute a specific subgroup characterised by nonsense, frameshift or splice-site mutations associated to complete absence of p53 expression. Different studies show that this kind of tumors may have a worse prognosis than other TP53 mutated HGSC. In this study, we sought to characterise the intra-tumor heterogeneity of a TP53 null HGSC consisting of six primary tumor samples, two intra-pelvic and four extra-pelvic recurrences using exome sequencing and comparative genome hybridisation. Significant heterogeneity was found among the different tumor samples, both at the mutational and copy number levels. Exome sequencing identified 102 variants, of which only 42 were common to all three samples; whereas 7 of the 18 copy number changes found by CGH analysis were presented in all samples. Sanger validation of 20 variants found by exome sequencing in additional regions of the primary tumor and the recurrence allowed us to establish a sequence of the tumor clonal evolution, identifying those populations that most likely gave rise to recurrences and genes potentially involved in this process, like GPNMB and TFDP1. Using functional annotation and network analysis, we identified those biological functions most significantly altered in this tumor. Remarkably, unexpected functions such as microtubule-based movement and lipid metabolism emerged as important for tumor development and progression, suggesting its potential interest as therapeutic targets. Altogether, our results shed light on the clonal evolution of the distinct tumor regions identifying the most aggressive subpopulations and at least some of the genes that may be implicated in its progression and recurrence, and highlights the importance of considering intra-tumor heterogeneity when carrying out genetic and genomic studies, especially when these are aimed to diagnostic procedures or to uncover possible therapeutic strategies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Master 6 11%
Other 5 9%
Student > Bachelor 5 9%
Student > Ph. D. Student 4 7%
Other 9 16%
Unknown 17 30%
Readers by discipline Count As %
Medicine and Dentistry 10 18%
Biochemistry, Genetics and Molecular Biology 10 18%
Agricultural and Biological Sciences 6 11%
Nursing and Health Professions 3 5%
Computer Science 2 4%
Other 4 7%
Unknown 21 38%