Paper

Transcriptome Analysis of Archived Tumor Tissues by Visium, GeoMx DSP, and Chromium Methods Reveals Inter- and Intra-Patient Heterogeneity

Lastra, Silvia Lopez, Carpentier, Sabrina, Gaveta, Marina Alexandre, Hoffmann, Caroline, Santos, Rita, Buszta, Daria, Piazzon, Nathalie, Peters, Solange, Bayard, Quentin, Tissot, Stephanie, Gottardo, Raphael, Andre, Sylvie, Dubois, Rémy, Kang, Senbai, Von Loga, Katharina, Sarkis, Rita, Homicsko, Krisztian, Saglietti, Chiara, Haignere, Carla, Perez, Almudena Espin, Coukos, George, Soumelis, Vassili, Kamburov, Atanas, De Leval, Laurence, Madissoon, Elo, Durand, Eric Y., Dong, Yixing

2024

Overview

Recent advancements in probe-based, full-transcriptome, high-resolution technologies for Formalin-Fixed Paraffin-Embedded (FFPE) tissues, such as Visium CytAssist, Chromium Flex (10X Genomics), and GeoMx DSP (Nanostring), have opened new opportunities for studying decades-old archival samples in biobanks, facilitating the generation of data from extensive cohorts. However, the experimental protocols can be labor-intensive and costly; therefore, it is thus essential for researchers to carefully evaluate the strengths and limitations of each technology in relation to their specific research objectives. Here, we report the results of a comparative analysis of the three methods mentioned above on FFPE archival tumor samples from four non-small cell lung cancer, four breast cancer and six diffuse large B-cell lymphoma. We highlight some relative advantages and disadvantages of each method in the context of operational challenges, bioinformatic analysis and biological discovery. Our results show that: 1) all three methods yielded good-quality, highly reproducible transcriptomic data from serial sections of the same FFPE block; 2) GeoMx data contained mixtures of cell types, even when pre-selecting areas with cell type-specific markers; 3) high-throughput spot-level (Visium) or cell-level (Chromium) data enabled the identification of tumor heterogeneity within and between patients, which could be used to identify targeted therapies. Our data support the use of Visium and Chromium for high-throughput and discovery-driven projects, while the GeoMx platform could be suited for addressing specialized questions on targeted regions. All data generated from this study, including GeoMx, Visium, Chromium, H&E, and expert annotations are publicly available.

• Publisher: Cold Spring Harbor Laboratory
• Subject: Bioinformatics