Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
Proc Natl Acad Sci U S A ; 121(28): e2322203121, 2024 Jul 09.
Article in English | MEDLINE | ID: mdl-38968122

ABSTRACT

Targeting cell surface molecules using radioligand and antibody-based therapies has yielded considerable success across cancers. However, it remains unclear how the expression of putative lineage markers, particularly cell surface molecules, varies in the process of lineage plasticity, wherein tumor cells alter their identity and acquire new oncogenic properties. A notable example of lineage plasticity is the transformation of prostate adenocarcinoma (PRAD) to neuroendocrine prostate cancer (NEPC)-a growing resistance mechanism that results in the loss of responsiveness to androgen blockade and portends dismal patient survival. To understand how lineage markers vary across the evolution of lineage plasticity in prostate cancer, we applied single-cell analyses to 21 human prostate tumor biopsies and two genetically engineered mouse models, together with tissue microarray analysis on 131 tumor samples. Not only did we observe a higher degree of phenotypic heterogeneity in castrate-resistant PRAD and NEPC than previously anticipated but also found that the expression of molecules targeted therapeutically, namely PSMA, STEAP1, STEAP2, TROP2, CEACAM5, and DLL3, varied within a subset of gene-regulatory networks (GRNs). We also noted that NEPC and small cell lung cancer subtypes shared a set of GRNs, indicative of conserved biologic pathways that may be exploited therapeutically across tumor types. While this extreme level of transcriptional heterogeneity, particularly in cell surface marker expression, may mitigate the durability of clinical responses to current and future antigen-directed therapies, its delineation may yield signatures for patient selection in clinical trials, potentially across distinct cancer types.


Subject(s)
Single-Cell Analysis , Male , Humans , Single-Cell Analysis/methods , Animals , Mice , Prostatic Neoplasms/genetics , Prostatic Neoplasms/metabolism , Prostatic Neoplasms/pathology , Prostatic Neoplasms/drug therapy , Antigens, Surface/metabolism , Antigens, Surface/genetics , Antigens, Neoplasm/metabolism , Antigens, Neoplasm/genetics , Antigens, Neoplasm/immunology , Biomarkers, Tumor/metabolism , Biomarkers, Tumor/genetics , Adenocarcinoma/genetics , Adenocarcinoma/pathology , Adenocarcinoma/metabolism , Adenocarcinoma/drug therapy , Carcinoma, Neuroendocrine/genetics , Carcinoma, Neuroendocrine/pathology , Carcinoma, Neuroendocrine/metabolism , Carcinoma, Neuroendocrine/drug therapy , Gene Expression Regulation, Neoplastic , Prostatic Neoplasms, Castration-Resistant/metabolism , Prostatic Neoplasms, Castration-Resistant/pathology , Prostatic Neoplasms, Castration-Resistant/genetics , Prostatic Neoplasms, Castration-Resistant/drug therapy
SELECTION OF CITATIONS
SEARCH DETAIL
...