Lacey E. Dobrolecki
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View article: Co-Targeting BCL-xL with MCL-1 Induces Lethal Mitochondrial Dysfunction in Diffuse Mesothelioma
Co-Targeting BCL-xL with MCL-1 Induces Lethal Mitochondrial Dysfunction in Diffuse Mesothelioma Open
Diffuse mesothelioma is a rare but highly aggressive and treatment-resistant neoplasm with low survival rates. Effective therapeutic strategies are limited, and resistance to treatment is a major obstacle. Myeloid cell leukemia (MCL)-1 and…
View article: Proteogenomic characterization unveils biomarkers associated with chemoresistance in muscle-invasive bladder cancer
Proteogenomic characterization unveils biomarkers associated with chemoresistance in muscle-invasive bladder cancer Open
To explore potential chemoresistance mechanisms and identify therapeutic opportunities in muscle-invasive bladder cancer (MIBC), we conduct comprehensive proteogenomic characterization of 46 pre- and 14 post-treatment MIBC tumors incorpora…
View article: Supplementary Data from Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor–Initiating Cells Characterized by IFN/STAT1 Activity
Supplementary Data from Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor–Initiating Cells Characterized by IFN/STAT1 Activity Open
PDF containing all supplementary data
View article: Data from Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor–Initiating Cells Characterized by IFN/STAT1 Activity
Data from Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor–Initiating Cells Characterized by IFN/STAT1 Activity Open
A tumor cell subpopulation of tumor-initiating cells (TIC) or “cancer stem cells” is associated with therapeutic resistance, as well as both local and distant recurrences. Signal transducer and activator of transcription (STAT) activity is…
View article: Supplementary Data from Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor–Initiating Cells Characterized by IFN/STAT1 Activity
Supplementary Data from Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor–Initiating Cells Characterized by IFN/STAT1 Activity Open
PDF containing all supplementary data
View article: Artificial intelligence-enabled automated analysis of transmission electron micrographs to evaluate chemotherapy impact on mitochondrial morphology in triple negative breast cancer
Artificial intelligence-enabled automated analysis of transmission electron micrographs to evaluate chemotherapy impact on mitochondrial morphology in triple negative breast cancer Open
Advancements in transmission electron microscopy (TEM) have enabled in-depth studies of biological specimens, offering new avenues to large-scale imaging experiments with subcellular resolution. Mitochondrial structure is of growing intere…
View article: Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor–Initiating Cells Characterized by IFN/STAT1 Activity
Lineage Tracing and Single-Cell RNA Sequencing Reveal a Common Transcriptional State in Breast Cancer Tumor–Initiating Cells Characterized by IFN/STAT1 Activity Open
A tumor cell subpopulation of tumor-initiating cells (TIC) or “cancer stem cells” is associated with therapeutic resistance, as well as both local and distant recurrences. Signal transducer and activator of transcription (STAT) activity is…
View article: Biguanides antithetically regulate tumor properties by the dose-dependent mitochondrial reprogramming-driven c-Src pathway
Biguanides antithetically regulate tumor properties by the dose-dependent mitochondrial reprogramming-driven c-Src pathway Open
The biguanide metformin attenuates mitochondrial oxidation and is proposed as an anti-cancer therapy. However, recent clinical studies suggest increased proliferation and fatty acid β-oxidation (FAO) in a subgroup of patients with breast c…
View article: Patient-Derived Xenografts of Triple-Negative Breast Cancer Enable Deconvolution and Prediction of Chemotherapy Responses
Patient-Derived Xenografts of Triple-Negative Breast Cancer Enable Deconvolution and Prediction of Chemotherapy Responses Open
Summary Combination chemotherapy remains essential for clinical management of triple-negative breast cancer (TNBC). Consequently, responses to multiple single agents cannot be delineated at the single patient level, even though some patien…
View article: UBA1 inhibition sensitizes cancer cells to PARP inhibitors
UBA1 inhibition sensitizes cancer cells to PARP inhibitors Open
Therapeutic strategies targeting the DNA damage response, such as poly (ADP-ribose) polymerase (PARP) inhibitors (PARPi), have revolutionized cancer treatment in tumors deficient in homologous recombination (HR). However, overcoming innate…
View article: Data from Kinome reprogramming is a targetable vulnerability in ESR1 fusion-driven breast cancer
Data from Kinome reprogramming is a targetable vulnerability in ESR1 fusion-driven breast cancer Open
Transcriptionally active ESR1 gene fusions (ESR1-TAF) are a potent cause of breast cancer endocrine therapy (ET) resistance. ESR1-TAFs are not directly druggable because the C-terminal estrogen/anti-estrogen binding domain is replaced with…
View article: Supplementary Data from Kinome reprogramming is a targetable vulnerability in ESR1 fusion-driven breast cancer
Supplementary Data from Kinome reprogramming is a targetable vulnerability in ESR1 fusion-driven breast cancer Open
The Supplementary Material contains a cover page, 8 Supplementary Figures and their legends.
View article: Supplementary Data from Kinome reprogramming is a targetable vulnerability in ESR1 fusion-driven breast cancer
Supplementary Data from Kinome reprogramming is a targetable vulnerability in ESR1 fusion-driven breast cancer Open
The Supplementary Material contains a cover page, 8 Supplementary Figures and their legends.
View article: Three-dimensional electron microscopy uncovers mitochondrial network remodeling in residual triple negative breast cancer persisting after conventional chemotherapy treatments
Three-dimensional electron microscopy uncovers mitochondrial network remodeling in residual triple negative breast cancer persisting after conventional chemotherapy treatments Open
Mitochondria are hubs of metabolism and signaling, playing crucial roles in tumorigenesis, therapeutic resistance, and metastasis in many types of cancer. Various laboratory models of cancer demonstrate the extraordinary dynamics of mitoch…
View article: Figure S4 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S4 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S4
View article: Figure S1 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S1 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S1
View article: Figure S15 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S15 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S15
View article: Figure S9 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S9 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S9
View article: Figure S8 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S8 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S8
View article: Figure S11 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S11 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S11
View article: Figure S4 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S4 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S4
View article: Figure S9 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S9 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S9
View article: Figure S14 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S14 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S14
View article: Figure S3 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S3 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S3
View article: Data from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Data from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Patient-derived xenografts (PDX) model human intra- and intertumoral heterogeneity in the context of the intact tissue of immunocompromised mice. Histologic imaging via hematoxylin and eosin (H&E;) staining is routinely performed on PDX sa…
View article: Supplementary Data from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Supplementary Data from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Supplementary methods
View article: Figure S1 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S1 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S1
View article: Figure S6 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S6 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S6
View article: Figure S10 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
Figure S10 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis Open
Figure S10