1
|
Voith von Voithenberg L, Kashyap A, Opitz L, Aquino C, Sykes T, Nieser M, Petrini LFT, Enrriquez Casimiro N, van Kooten XF, Biskup S, Schlapbach R, Schraml P, Kaigala GV. Mapping Spatial Genetic Landscapes in Tissue Sections through Microscale Integration of Sampling Methodology into Genomic Workflows. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2007901. [PMID: 33852760 DOI: 10.1002/smll.202007901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 02/12/2021] [Indexed: 06/12/2023]
Abstract
In cancer research, genomic profiles are often extracted from homogenized macrodissections of tissues, with the histological context lost and a large fraction of material underutilized. Pertinently, the spatial genomic landscape provides critical complementary information in deciphering disease heterogeneity and progression. Microscale sampling methods such as microdissection to obtain such information are often destructive to a sizeable fraction of the biopsy sample, thus showing limited multiplexability and adaptability to different assays. A modular microfluidic technology is here implemented to recover cells at the microscale from tumor tissue sections, with minimal disruption of unsampled areas and tailored to interface with genome profiling workflows, which is directed here toward evaluating intratumoral genomic heterogeneity. The integrated workflow-GeneScape-is used to evaluate heterogeneity in a metastatic mammary carcinoma, showing distinct single nucleotide variants and copy number variations in different tumor tissue regions, suggesting the polyclonal origin of the metastasis as well as development driven by multiple location-specific drivers.
Collapse
Affiliation(s)
| | - Aditya Kashyap
- IBM Research Europe, Säumerstrasse 4, Rüschlikon, CH-8803, Switzerland
| | - Lennart Opitz
- Functional Genomics Center Zurich, Winterthurerstr. 190, Zurich, CH-8057, Switzerland
| | - Catharine Aquino
- Functional Genomics Center Zurich, Winterthurerstr. 190, Zurich, CH-8057, Switzerland
| | - Timothy Sykes
- Functional Genomics Center Zurich, Winterthurerstr. 190, Zurich, CH-8057, Switzerland
| | - Maike Nieser
- Center for Genomics and Transcriptomics, Paul-Ehrlich-Str. 23, 72076, Tübingen, Germany
| | | | | | | | - Saskia Biskup
- Center for Genomics and Transcriptomics, Paul-Ehrlich-Str. 23, 72076, Tübingen, Germany
| | - Ralph Schlapbach
- Functional Genomics Center Zurich, Winterthurerstr. 190, Zurich, CH-8057, Switzerland
| | - Peter Schraml
- Department of Pathology and Molecular Pathology, University Hospital Zurich, Schmelzbergstr. 12, Zurich, CH-8091, Switzerland
| | - Govind V Kaigala
- IBM Research Europe, Säumerstrasse 4, Rüschlikon, CH-8803, Switzerland
| |
Collapse
|
2
|
Voith von Voithenberg L, Fomitcheva Khartchenko A, Huber D, Schraml P, Kaigala GV. Spatially multiplexed RNA in situ hybridization to reveal tumor heterogeneity. Nucleic Acids Res 2020; 48:e17. [PMID: 31853536 PMCID: PMC7026647 DOI: 10.1093/nar/gkz1151] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 11/20/2019] [Accepted: 12/03/2019] [Indexed: 02/07/2023] Open
Abstract
Multiplexed RNA in situ hybridization for the analysis of gene expression patterns plays an important role in investigating development and disease. Here, we present a method for multiplexed RNA-ISH to detect spatial tumor heterogeneity in tissue sections. We made use of a microfluidic chip to deliver ISH-probes locally to regions of a few hundred micrometers over time periods of tens of minutes. This spatial multiplexing method can be combined with ISH-approaches based on signal amplification, with bright field detection and with the commonly used format of formalin-fixed paraffin-embedded tissue sections. By using this method, we analyzed the expression of HER2 with internal positive and negative controls (ActB, dapB) as well as predictive biomarker panels (ER, PgR, HER2) in a spatially multiplexed manner on single mammary carcinoma sections. We further demonstrated the applicability of the technique for subtype differentiation in breast cancer. Local analysis of HER2 revealed medium to high spatial heterogeneity of gene expression (Cohen effect size r = 0.4) in equivocally tested tumor tissues. Thereby, we exemplify the importance of using such a complementary approach for the analysis of spatial heterogeneity, in particular for equivocally tested tumor samples. As the method is compatible with a range of ISH approaches and tissue samples, it has the potential to find broad applicability in the context of molecular analysis of human diseases.
Collapse
Affiliation(s)
| | | | - Deborah Huber
- IBM Research Zürich, Säumerstrasse 4, CH-8803 Rüschlikon, Switzerland
| | - Peter Schraml
- University Hospital Zurich, Department of Pathology and Molecular Pathology, Schmelzbergstr. 12, CH-8091 Zurich, Switzerland
| | - Govind V Kaigala
- IBM Research Zürich, Säumerstrasse 4, CH-8803 Rüschlikon, Switzerland
| |
Collapse
|