Single-cell transcriptomics link gene expression signatures to clinicopathological features of gonadotroph and lactotroph PitNET
- T Elise Potthoff 1, Carolin Walter 2, Daniela Jeising 1, Daniel Münter 1, Archana Verma 1, Eric Suero Molina 3, Walter Stummer 3, Martin Dugas 2,4, Wolfgang Hartmann 5, Matthias Dottermusch 6, Lea Altendorf 7,8, Ulrich Schüller 6,7,8, Sophia Scheuermann 9,10,11, Christian Seitz 9,10,11, Thomas K Albert 1, Kornelius Kerl 12
- 1Department of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
- 2Institute of Medical Informatics, University of Münster, 48149, Münster, Germany.
- 3Department of Neurosurgery, University Hospital of Münster, 48149, Münster, Germany.
- 4Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.
- 5Division of Translational Pathology, Gerhard Domagk Institute of Pathology, University Hospital Münster, 48149, Münster, Germany.
- 6Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
- 7Department of Paediatric Haematology and Oncology, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
- 8Research Institute Children's Cancer Center, 20251, Hamburg, Germany.
- 9DFG Cluster of Excellence 2180 'Image-Guided and Functional Instructed Tumor Therapy' (iFIT), University of Tübingen, 72076, Tübingen, Germany.
- 10Department of Pediatric Hematology and Oncology, University Hospital Tübingen, 72076, Tübingen, Germany.
- 11German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site, Tuebingen, Germany.
- 12Department of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany. Kornelius.Kerl@ukmuenster.de.
- 0Department of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
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View abstract on PubMed
Summary
This summary is machine-generated.Aggressive pituitary tumors (PitNET) show distinct immune cell profiles. Proliferative lymphocytes correlate with aggression, while CD8+ T and NK cells may offer anti-tumor effects and immunotherapy targets.
Area Of Science
- Endocrinology
- Oncology
- Immunology
Background
- Pituitary neuroendocrine tumors (PitNET) are common intracranial tumors with variable behavior.
- Tumor microenvironment (TME) influences PitNET aggressiveness, but its cellular components are not fully understood.
- Understanding TME in PitNET is crucial for predicting and managing aggressive tumor behavior.
Purpose Of The Study
- To comparatively characterize the transcriptome and TME of gonadotroph PitNET (GoPN) and lactotroph PitNET (LaPN).
- To correlate cellular composition with clinical features and aggressive tumor behavior.
- To identify potential therapeutic targets for aggressive PitNET.
Main Methods
- Single-cell RNA sequencing for transcriptome analysis of PitNET subtypes.
- Differential gene expression analysis and gene expression program identification.
- Bulk RNA-seq and immunostaining for TME composition and immune cell infiltration quantification.
Main Results
- Lactotroph PitNET exhibit a proliferative gene profile associated with aggressive growth.
- Distinct TME compositions were observed: GoPN enriched with SPP1+ macrophages and CD4+ T cells; LaPN with CD4/CD8 double-negative T cells and NK cells.
- Proliferative lymphocytes correlated with increased aggressiveness, while CD8+ T and NK cells showed potential anti-tumoral effects.
Conclusions
- Significant differences in cellular composition exist between GoPN and LaPN subtypes.
- Lymphoid cells play a role in the variable aggressive behavior of PitNET.
- Proliferative lymphocytes, CD8+ T cells, and NK cells are potential targets for novel PitNET immunotherapies.
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