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Status |
Public on Sep 27, 2024 |
Title |
Protein expression from paired biopsies from a patient with METex14 skiping non-small cell lung cancer before and after treatment with neoadjuvant tepotinib (42 days) |
Organism |
Homo sapiens |
Experiment type |
Other
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Summary |
Background: MET inhibitors have demonstrated efficacy in treating patients with non-small cell lung cancer (NSCLC) harboring METex14 skipping alterations. Advancements in spatial profiling technologies have unveiled the complex dynamics of the tumor microenvironment, a crucial factor in cancer progression and therapeutic response. Using spatial profiling, this study investigates the effects of the MET inhibitor tepotinib on the TME in a case of locally advanced NSCLC with a METex14 skipping alteration. Methods: A patient with resectable stage IIIB NSCLC, unresponsive to neoadjuvant platinum-based doublet chemotherapy, received tepotinib following detection of a METex14 skipping alteration. Paired pre- and post-treatment biopsies were subjected to GeoMx Digital Spatial Profiling using the Cancer Transcriptome Atlas and immune-related protein panels to evaluate shifts in the tumor immune microenvironment (TIME). Results: Tepotinib administration resulted in pathological downstaging to stage IA1, which allowed for a successful lobectomy and evidenced a significant pathological response. The TIME was transformed from an immunosuppressive to a more permissive state, with upregulation of antigen-presenting and pro-inflammatory immune cells. Moreover, a marked decrease in immune checkpoint molecules, including PD-L1, was noted. Spatial profiling identified discrete immune-enriched clusters, indicating the role of tepotinib in modulating immune cell trafficking and function. Conclusions: Tepotinib appears to remodel the TIME in a patient with METex14 skipping NSCLC, possibly increasing responsiveness to immunotherapy. This case supports the integration of genetic profiling into the management of early and locally advanced NSCLC to guide personalized, targeted interventions. These findings highlight the need to further evaluate combinations of MET inhibitors and immunotherapies.
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Overall design |
On the GeoMx Digital Spatial Profiler, regions of interest of 250 micrometers in diameter were selected in the pre-treatment biopsy (15) and tepotinib-treated surgical resection (79) from the same patient, following barcoded antibody incubation (Immune Cell Profiling, Immune Cell Typing, Immune Activation Status, IO Drug Target & PI3K/AKT Signaling panels) and morphology marker staining using SYTO13, TTF1, CD3 and CD33.
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Contributor(s) |
Simard MA, Karachaliou N, Geist F, Cabrera-Galvez C, Viteri S, Reischmann N, Zuehlsdorf M |
Citation missing |
Has this study been published? Please login to update or notify GEO. |
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Submission date |
Dec 18, 2023 |
Last update date |
Sep 27, 2024 |
Contact name |
Manon A Simard |
E-mail(s) |
[email protected]
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Organization name |
Merck Healthcare KGaA
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Department |
Research Unit Oncology
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Street address |
Frankfurterstraße 250
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City |
Darmstadt |
ZIP/Postal code |
64293 |
Country |
Germany |
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Platforms (1) |
GPL34024 |
GeoMx Digital Spatial Profiler (DSP): Immune Profiling, Typing, Activation, IO Drug Targets, PI3K/AKT protein panels |
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Samples (94)
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GSM7980021 |
Pre-treatment, ROI 004 |
GSM7980022 |
Pre-treatment, ROI 005 |
GSM7980023 |
Pre-treatment, ROI 006 |
GSM7980024 |
Pre-treatment, ROI 007 |
GSM7980025 |
Pre-treatment, ROI 008 |
GSM7980026 |
Pre-treatment, ROI 009 |
GSM7980027 |
Pre-treatment, ROI 010 |
GSM7980028 |
Pre-treatment, ROI 011 |
GSM7980029 |
Pre-treatment, ROI 012 |
GSM7980030 |
Pre-treatment, ROI 013 |
GSM7980031 |
Pre-treatment, ROI 014 |
GSM7980032 |
Pre-treatment, ROI 015 |
GSM7980033 |
Tepotinib-treated, ROI 001 |
GSM7980034 |
Tepotinib-treated, ROI 002 |
GSM7980035 |
Tepotinib-treated, ROI 003 |
GSM7980036 |
Tepotinib-treated, ROI 004 |
GSM7980037 |
Tepotinib-treated, ROI 005 |
GSM7980038 |
Tepotinib-treated, ROI 006 |
GSM7980039 |
Tepotinib-treated, ROI 007 |
GSM7980040 |
Tepotinib-treated, ROI 008 |
GSM7980041 |
Tepotinib-treated, ROI 009 |
GSM7980042 |
Tepotinib-treated, ROI 010 |
GSM7980043 |
Tepotinib-treated, ROI 011 |
GSM7980044 |
Tepotinib-treated, ROI 012 |
GSM7980045 |
Tepotinib-treated, ROI 013 |
GSM7980046 |
Tepotinib-treated, ROI 014 |
GSM7980047 |
Tepotinib-treated, ROI 015 |
GSM7980048 |
Tepotinib-treated, ROI 016 |
GSM7980049 |
Tepotinib-treated, ROI 017 |
GSM7980050 |
Tepotinib-treated, ROI 018 |
GSM7980051 |
Tepotinib-treated, ROI 019 |
GSM7980052 |
Tepotinib-treated, ROI 020 |
GSM7980053 |
Tepotinib-treated, ROI 021 |
GSM7980054 |
Tepotinib-treated, ROI 022 |
GSM7980055 |
Tepotinib-treated, ROI 023 |
GSM7980056 |
Tepotinib-treated, ROI 024 |
GSM7980057 |
Tepotinib-treated, ROI 025 |
GSM7980058 |
Tepotinib-treated, ROI 026 |
GSM7980059 |
Tepotinib-treated, ROI 027 |
GSM7980060 |
Tepotinib-treated, ROI 028 |
GSM7980061 |
Tepotinib-treated, ROI 029 |
GSM7980062 |
Tepotinib-treated, ROI 030 |
GSM7980063 |
Tepotinib-treated, ROI 031 |
GSM7980064 |
Tepotinib-treated, ROI 032 |
GSM7980065 |
Tepotinib-treated, ROI 033 |
GSM7980066 |
Tepotinib-treated, ROI 034 |
GSM7980067 |
Tepotinib-treated, ROI 035 |
GSM7980068 |
Tepotinib-treated, ROI 036 |
GSM7980069 |
Tepotinib-treated, ROI 037 |
GSM7980070 |
Tepotinib-treated, ROI 038 |
GSM7980071 |
Tepotinib-treated, ROI 039 |
GSM7980072 |
Tepotinib-treated, ROI 040 |
GSM7980073 |
Tepotinib-treated, ROI 041 |
GSM7980074 |
Tepotinib-treated, ROI 042 |
GSM7980075 |
Tepotinib-treated, ROI 043 |
GSM7980076 |
Tepotinib-treated, ROI 044 |
GSM7980077 |
Tepotinib-treated, ROI 045 |
GSM7980078 |
Tepotinib-treated, ROI 046 |
GSM7980079 |
Tepotinib-treated, ROI 047 |
GSM7980080 |
Tepotinib-treated, ROI 048 |
GSM7980081 |
Tepotinib-treated, ROI 049 |
GSM7980082 |
Tepotinib-treated, ROI 050 |
GSM7980083 |
Tepotinib-treated, ROI 051 |
GSM7980084 |
Tepotinib-treated, ROI 052 |
GSM7980085 |
Tepotinib-treated, ROI 053 |
GSM7980086 |
Tepotinib-treated, ROI 054 |
GSM7980087 |
Tepotinib-treated, ROI 055 |
GSM7980088 |
Tepotinib-treated, ROI 056 |
GSM7980089 |
Tepotinib-treated, ROI 057 |
GSM7980090 |
Tepotinib-treated, ROI 058 |
GSM7980091 |
Tepotinib-treated, ROI 059 |
GSM7980092 |
Tepotinib-treated, ROI 060 |
GSM7980093 |
Tepotinib-treated, ROI 061 |
GSM7980094 |
Tepotinib-treated, ROI 062 |
GSM7980095 |
Tepotinib-treated, ROI 063 |
GSM7980096 |
Tepotinib-treated, ROI 064 |
GSM7980097 |
Tepotinib-treated, ROI 065 |
GSM7980098 |
Tepotinib-treated, ROI 066 |
GSM7980099 |
Tepotinib-treated, ROI 067 |
GSM7980100 |
Tepotinib-treated, ROI 068 |
GSM7980101 |
Tepotinib-treated, ROI 069 |
GSM7980102 |
Tepotinib-treated, ROI 070 |
GSM7980103 |
Tepotinib-treated, ROI 071 |
GSM7980104 |
Tepotinib-treated, ROI 072 |
GSM7980105 |
Tepotinib-treated, ROI 073 |
GSM7980106 |
Tepotinib-treated, ROI 074 |
GSM7980107 |
Tepotinib-treated, ROI 075 |
GSM7980108 |
Tepotinib-treated, ROI 076 |
GSM7980109 |
Tepotinib-treated, ROI 077 |
GSM7980110 |
Tepotinib-treated, ROI 078 |
GSM7980111 |
Tepotinib-treated, ROI 079 |
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Relations |
BioProject |
PRJNA1054192 |
Supplementary file |
Size |
Download |
File type/resource |
GSE250509_Normalized_counts_protein.xlsx |
96.1 Kb |
(ftp)(http) |
XLSX |
GSE250509_raw_RCC_files.tar.gz |
41.4 Kb |
(ftp)(http) |
TAR |
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