Szeitz, Beáta and Glasz, Tibor and Herold, Zoltán and Tóth, Gábor and Balbisi, Mirjam and Fillinger, János and Horváth, Szabolcs and Mohácsi, Réka and Kwon, Ho Jeong and Moldvay, Judit and Turiák, Lilla and Szász, Attila Marcell (2023) Spatially Resolved Proteomic and Transcriptomic Profiling of Anaplastic Lymphoma Kinase-Rearranged Pulmonary Adenocarcinomas Reveals Key Players in Inter- and Intratumoral Heterogeneity. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 24. No. 1136. ISSN 1661-6596
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Abstract
Pulmonary adenocarcinomas (pADCs) with an ALK rearrangement are a rare cancer subtype, necessitating comprehensive molecular investigations to unravel their heterogeneity and improve therapeutic strategies. In this pilot study, we employed spatial transcriptomic (NanoString GeoMx) and proteomic profiling to investigate seven treatment-naïve pADCs with an ALK rearrangement. On each FFPE tumor slide, 12 smaller and 2-6 larger histopathologically annotated regions were selected for transcriptomic and proteomic analysis, respectively. The correlation between proteomics and transcriptomics was modest (average Pearson's r = 0.43 at the gene level). Intertumoral heterogeneity was more pronounced than intratumoral heterogeneity, and normal adjacent tissue exhibited distinct molecular characteristics. We identified potential markers and dysregulated pathways associated with tumors, with a varying extent of immune infiltration, as well as with mucin and stroma content. Notably, some markers appeared to be specific to the ALK-driven subset of pADCs. Our data showed that within tumors, elements of the extracellular matrix, including FN1, exhibited substantial variability. Additionally, we mapped the co-localization patterns of tumor microenvironment elements. This study represents the first spatially resolved profiling of ALK-driven pADCs at both the gene and protein expression levels. Our findings may contribute to a better understanding of this cancer type prior to treatment with ALK inhibitors.
Item Type: | Article |
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Uncontrolled Keywords: | lung adenocarcinoma; pulmonary adenocarcinoma; ALK rearrangement; multi-omics; digital spatial profiling; proteomics; transcriptomics |
Subjects: | Q Science / természettudomány > Q1 Science (General) / természettudomány általában |
Depositing User: | Dr. Lilla Turiák |
Date Deposited: | 14 Sep 2023 07:21 |
Last Modified: | 14 Sep 2023 07:21 |
URI: | http://real.mtak.hu/id/eprint/173489 |
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