Maria Altagracia Ortiz

Ms. Maria Altagracia Ortiz

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 November 2019 in Cancers
Verified
Journal Article
Open access
PDF file
BPBaylee Porter
Baylee Porter
MOMaria Altagracia Ortiz
Maria Altagracia Ortiz
GBGennady Bratslavsky
Gennady Bratslavsky
LKLeszek Kotula
Leszek Kotula
The nuclear receptor superfamily comprises a large group of proteins with functions essential for cell signaling, survival, and proliferation. There are multiple distinctions between nuclear superfamily classes defined by hallmark differences in function, ligand binding, tissue specificity, and DNA binding. In this review, we utilize the initial classification system, which defines subfamilies based on structure and functional difference. The defining feature of the nuclear receptor superfamily is that these proteins function as transcription factors. The loss of transcriptional regulation or gain of functioning of these receptors is a hallmark in numerous diseases. For example, in prostate cancer, the androgen receptor is a primary target for current prostate cancer therapies. Targeted cancer therapies for nuclear hormone receptors have been more feasible to develop than others due to the ligand availability and cell permeability of hormones. To better target these receptors, it is critical to understand their structural and functional regulation. Given that late-stage cancers often develop hormone insensitivity, we will explore the strengths and pitfalls of targeting other transcription factors outside of the nuclear receptor superfamily such as the signal transducer and activator of transcription (STAT).

29 January 2020 in Experimental Biology and Medicine
Verified
Journal Article
Closed access
PDF file
XLXiang Li
Xiang Li
MOMaria Altagracia Ortiz
Maria Altagracia Ortiz
LKLeszek Kotula
Leszek Kotula
Over the decades, many studies have illustrated the critical roles of Wnt signaling pathways in both developmental processes as well as tumorigenesis. Due to the complexity of Wnt signaling regulation, there are still questions to be addressed about ways cells are able to manipulate different types of Wnt pathways in order to fulfill the requirements for normal or cancer development. In this review, we will describe different types of Wnt signaling pathways and their roles in both normal developmental processes and their role in cancer development and progression. Additionally, we will briefly introduce new strategies currently in clinical trials targeting Wnt signaling pathway components for cancer therapy.Impact statement: Wnt pathway does not only play a critical role in mammalian development but has been hijacked by cancer cells and the tumor microenvironment to promote tumor progression and metastasis. Recent evidence supports further interrogation of the Wnt pathway for bench-to-bedside translation into cancer therapy. This review highlights the role of the Wnt pathway in normal development and tumorigenesis, along with an overview of new therapies currently undergoing clinical trials.

28 October 2022 in Cancers
Verified
Journal Article
Open access
PDF file
RARobert Adamiecki
Robert Adamiecki
AHAnita Hryniewicz-Jankowska
Anita Hryniewicz-Jankowska
MOMaria Altagracia Ortiz
Maria Altagracia Ortiz
XLXiang Li
Xiang Li
BPBaylee Porter
Baylee Porter
LKLeszek Kotula
Leszek Kotula
In 2022, prostate cancer (PCa) is estimated to be the most commonly diagnosed cancer in men in the United States—almost 270,000 American men are estimated to be diagnosed with PCa in 2022. This review compares and contrasts in vivo models of PCa with regards to the altered genes, signaling pathways, and stages of tumor progression associated with each model. The main type of model included in this review are genetically engineered mouse models, which include conditional and constitutive knockout model. 2D cell lines, 3D organoids and spheroids, xenografts and allografts, and patient derived models are also included. The major applications, advantages and disadvantages, and ease of use and cost are unique to each type of model, but they all make it easier to translate the tumor progression that is seen in the mouse prostate to the human prostate. Although both human and mouse prostates are androgen-dependent, the fact that the native, genetically unaltered prostate in mice cannot give rise to carcinoma is an especially critical component of PCa models. Thanks to the similarities between the mouse and human genome, our knowledge of PCa has been expanded, and will continue to do so, through models of PCa.

26 August 2022 in Preprints.org
Verified
Preprint
Open access
PDF file
RARobert Adamiecki
Robert Adamiecki
AHAnita Hryniewicz-Jankowska
Anita Hryniewicz-Jankowska
MOMaria Altagracia Ortiz
Maria Altagracia Ortiz
XLXiang Li
Xiang Li
BPBaylee Porter
Baylee Porter
LKLeszek Kotula
Leszek Kotula
In 2022, prostate cancer (PCa) is estimated to be the most commonly diagnosed cancer in men in the United States – almost 270,000 American men are estimated to be diagnosed with PCa in 2022 [1]. This review compares and contrasts in vivo models of PCa with regards to the altered genes, signaling pathways, and stages of tumor progression associated with each model. The main type of model included in this review are genetically engineered mouse models, which include conditional and constitutive knockout model. 2D cell lines, 3D organoids and spheroids, xenografts and allografts, and patient derived models are also included. The major applications, advantages and disadvantages, and ease of use and cost are unique to each type of model, but they all make it easier to translate the tumor progression that is seen in the mouse prostate to the human prostate. Although both human and mouse prostates are androgen-dependent, the fact that the native, genetically unaltered prostate in mice cannot give rise to carcinoma is an especially critical component of PCa models. Thanks to the similarities between the mouse and human genome, our knowledge of PCa has been expanded, and will continue to do so, through models of PCa.