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| Status |
Public on Oct 06, 2022 |
| Title |
Towards Optimization of Precision Oncology in Metastatic Uterine Tumors |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
The incidence of new cancer cases is expected to increase significantly in the future, posing a worldwide problem. In this regard, precision oncology and its diagnostic tools are essential for developing personalized cancer treatments. Nowadays, it is almost impossible to separate technology and digitization from medicine and health sciences, and digital pathology (DP) is emerging as one of the most influential technologies in the transition towards the 4P of new medicine (preventive, participatory, personalized and predictive). DP is a particularly key strategy to study the interactions of tumor cells and the tumor microenvironment (TME), which play a crucial role in tumor initiation, progression and metastasis. The purpose of this study was to integrate data on the digital patterns of reticulin fiber scaffolding and the immune cell infiltrate, transcriptomic and epigenetic profiles in aggressive uterine adenocarcinoma (uADC), uterine leiomyosarcoma (uLMS) and their respective lung metastases, with the aim of obtaining key TME biomarkers that can help improve metastatic prediction and shed light on potential therapeutic targets. Automatized algorithms were used to analyze reticulin fiber architecture and immune infiltration in colocalized regions of interest (ROIs) of 133 invasive tumor front (ITF), 89 tumor niches and 70 target tissues in a total of six paired samples of uADC and nine of uLMS. Microdissected tissue from the ITF was employed for transcriptomic and epigenetic studies in primary and metastatic tumors. Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. Notably, more similarities between reticulin fibers were observed in paired uLMS then paired uADCs. Transcriptomic and multiplex immunofluorescence-based immune profiling showed a higher abundance of T and B cells in primary tumor and in metastatic uADC than uLMS. Moreover, the epigenetic signature of paired samples in uADCs showed more differences than paired samples in uLMS. Some epigenetic variation was also found between the ITF of metastatic uADC and uLMS. Altogether, our data suggest a correlation between morphological and molecular changes at the ITF and the degree of aggressiveness. The use of DP tools for characterizing reticulin scaffolding and immune cell infiltration at the ITF in paired samples together with information provided by omics analyses in a large cohort will hopefully help validate novel biomarkers of tumor aggressiveness, develop new drugs and improve patient quality of life in a much more efficient way.
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| Overall design |
Transcriptomic profiling of invasive tumor front of aggressive metastatic uterine adenocarcinomas (n=6) and leiomyosarcomas (n=7) using HTG EdgeSeq Precision Immuno-Oncology Panel, which interrogates 1,392 genes involved in tumor/immune interaction.
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| Contributor(s) |
Diaz-Martin J, Salguero-Aranda C, de Alava E |
| Citation(s) |
36467415 |
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| Submission date |
Oct 04, 2022 |
| Last update date |
Dec 16, 2022 |
| Contact name |
Juan Diaz-Martin |
| E-mail(s) |
jdiaz-ibis@us.es
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| Organization name |
IBiS
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| Street address |
Av Manuel Siurot
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| City |
Seville |
| ZIP/Postal code |
41013 |
| Country |
Spain |
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| Platforms (1) |
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| Samples (13)
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| This SubSeries is part of SuperSeries: |
| GSE214780 |
Invasive tumor front (ITF) of uterine adenocarcinomas and leiomyosarcomas. Primary and metastatic specimens |
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| Relations |
| BioProject |
PRJNA887066 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE214779_Raw_gene_counts_matrix_METASTASIS.xlsx |
140.3 Kb |
(ftp)(http) |
XLSX |
| GSE214779_normalized_counts_METASTASIS.xlsx |
174.5 Kb |
(ftp)(http) |
XLSX |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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