Digital spatial profiling identifies the tumor center as a topological niche in prostate cancer characterized by an upregulation of BAD

Prostate cancer is characterized by a high degree of intratumoral heterogeneity. However, little is known about the spatial distribution of cancer cells with respect to specific functional characteristics and the formation of spatial niches. Here, we used digital spatial profiling (DSP) to investigate differences in protein expression in the tumor center versus the tumor periphery. Thirty-seven regions of interest were analyzed for the expression of 47 proteins, which included components of the PI3K-AKT, MAPK, and cell death signaling pathways as well as immune cell markers. A total of 1739 data points were collected from five patients. DSP identified the BCL-2 associated agonist of cell death (BAD) protein as the most significantly upregulated protein in the tumor center. BAD upregulation was confirmed by conventional immunohistochemistry, which furthermore showed a phosphorylation of BAD at serine 112 indicating its inactivation. Knockdown of BAD in prostate cancer cells in vitro led to decreased cell viability and colony growth. Clinically, high BAD expression was associated with a shorter time to biochemical recurrence in 158 mostly high-risk prostate cancer patients. Collectively, our results suggest that the tumor center is a topological niche with high BAD expression that may drive prostate cancer progression.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-08-31
DOI
https://doi.org/10.1038/s41598-024-71070-6
Citations
5
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
2.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital spatial profiling identifies the tumor center as a topological niche in prostate cancer characterized by an upregulation of BAD

Magdalena Görtz, Albrecht Stenzinger, Markus Hohenfellner, Anette Duensing et al.
5 citations
Scientific Reports
Prostate Cancer Treatment and Research
2.09
article

Digital spatial profiling identifies the tumor center as a topological niche in prostate cancer characterized by an upregulation of BAD

Magdalena Görtz, Albrecht Stenzinger, Markus Hohenfellner, Anette Duensing, Constantin Schwab, Adam Kaczorowski, Ann‐Kathrin Huber, F Schneider, Stefan Duensing, Sarah Böning, David Langhoff
article en
5 citations

Abstract

Prostate cancer is characterized by a high degree of intratumoral heterogeneity. However, little is known about the spatial distribution of cancer cells with respect to specific functional characteristics and the formation of spatial niches. Here, we used digital spatial profiling (DSP) to investigate differences in protein expression in the tumor center versus the tumor periphery. Thirty-seven regions of interest were analyzed for the expression of 47 proteins, which included components of the PI3K-AKT, MAPK, and cell death signaling pathways as well as immune cell markers. A total of 1739 data points were collected from five patients. DSP identified the BCL-2 associated agonist of cell death (BAD) protein as the most significantly upregulated protein in the tumor center. BAD upregulation was confirmed by conventional immunohistochemistry, which furthermore showed a phosphorylation of BAD at serine 112 indicating its inactivation. Knockdown of BAD in prostate cancer cells in vitro led to decreased cell viability and colony growth. Clinically, high BAD expression was associated with a shorter time to biochemical recurrence in 158 mostly high-risk prostate cancer patients. Collectively, our results suggest that the tumor center is a topological niche with high BAD expression that may drive prostate cancer progression.

Scientific ReportsVol. 14(1)
Heidelberg University (DE), University Hospital Heidelberg (DE), National Center for Tumor Diseases (DE)
Universität Heidelberg, Universitätsklinikum Heidelberg
Good health and well-being
Openalex Percentile: Top 12%
Prostate Cancer Treatment and Research
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.