Evidence map›Paper›PMID 37830602›Full record

ReviewCells2023

Unlocking Translational Potential: Conditionally Reprogrammed Cells in Advancing Breast Cancer Research.

Danyal Daneshdoust, Mingjue Luo, Zaibo Li, Xiaokui Mo, Sahar Alothman, Bhaskar Kallakury, Richard Schlegel, Junran Zhang, Deliang Guo, Priscilla A Furth and 2 more

Abstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Danyal DaneshdoustComprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0003-2026-7442
Mingjue LuoComprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA.
Zaibo LiDepartments of Pathology, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0003-1325-1696
Xiaokui MoDepartment of Biostatics and Bioinformatics, Wexner Medical Center, Ohio State University, Columbus, OH 43210, USA.
Sahar AlothmanDepartments of Oncology and Medicine, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.ORCID 0000-0003-4382-9065
Bhaskar KallakuryDepartments of Pathology, Lombardi Comprehensive Cancer Center, Center for Cell Reprogramming, Georgetown University, Washington, DC 20057, USA.
Richard SchlegelDepartments of Pathology, Lombardi Comprehensive Cancer Center, Center for Cell Reprogramming, Georgetown University, Washington, DC 20057, USA.
Junran ZhangComprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0001-5413-3675
Deliang GuoComprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA.
Priscilla A FurthDepartments of Oncology and Medicine, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.ORCID 0000-0003-3883-0715
Xuefeng LiuComprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-9922-9627
Jenny LiComprehensive Cancer Center, Ohio State University, Columbus, OH 43210, USA.

Funding

Progression and regression of mammary preneoplasiaR01CA112176 · NCI · GEORGETOWN UNIVERSITY · PI FURTH, PRISCILLA A. · 2005 to 2018
$3.1M
Delineating how retinoic acids regulate lipid metabolism in glioblastoma and their resistance mechanismsR01CA240726 · NCI · OHIO STATE UNIVERSITY · PI GUO, DELIANG · 2020 to 2024
$2.2M
Developing Functional Human Cell Models to Study Initiation and Progression of Prostate Cancer between AA and EA menR01CA276474 · NCI · OHIO STATE UNIVERSITY · PI Xuefeng Liu · 2023 to 2026
$2.1M
Conditionally Reprogrammed Cell Model for Castration-Resistant Prostate Cancer (CRPC)R01CA222148 · NCI · OHIO STATE UNIVERSITY · PI LIU, XUEFENG · 2019 to 2022
$1.9M
Identifying SREBP-1 activation mechanism in glioblastoma and its new role in regulating glutamine metabolismR01NS112935 · NINDS · OHIO STATE UNIVERSITY · PI GUO, DELIANG · 2020 to 2024
$1.8M
Evaluation of Pre-Analytical Factors of Urine Samples for Urine Cancer Cell Cultures (UCCC) --A Non-Invasive Biomarker – in Monitoring Response and Recurrence of Bladder CancerU01CA278927 · NCI · OHIO STATE UNIVERSITY · PI LIU, XUEFENG · 2023 to 2025
$1.8M
Validating Urine Derived Cancer Cells (UDCC) -- Non-Invasive and Living Liquid Biopsies -- in Bladder Cancer ClinicsR33CA258016 · NCI · OHIO STATE UNIVERSITY · PI LIU, XUEFENG · 2021 to 2023
$1.2M
NCI NIH HHS R01 CA112176NCI NIH HHS R01 CA222148NCI NIH HHS R01 CA240726NCI NIH HHS R01 CA276474NCI NIH HHS R33 CA258016NCI NIH HHS U01 CA278927NINDS NIH HHS R01 NS112935
6 · The paper itself

Abstract

Preclinical in vitro models play an important role in studying cancer cell biology and facilitating translational research, especially in the identification of drug targets and drug discovery studies. This is particularly relevant in breast cancer, where the global burden of disease is quite high based on prevalence and a relatively high rate of lethality. Predictive tools to select patients who will be responsive to invasive or morbid therapies (radiotherapy, chemotherapy, immunotherapy, and/or surgery) are relatively lacking. To be clinically relevant, a model must accurately replicate the biology and cellular heterogeneity of the primary tumor. Addressing these requirements and overcoming the limitations of most existing cancer cell lines, which are typically derived from a single clone, we have recently developed conditional reprogramming (CR) technology. The CR technology refers to a co-culture system of primary human normal or tumor cells with irradiated murine fibroblasts in the presence of a Rho-associated kinase inhibitor to allow the primary cells to acquire stem cell properties and the ability to proliferate indefinitely in vitro without any exogenous gene or viral transfection. This innovative approach fulfills many of these needs and offers an alternative that surpasses the deficiencies associated with traditional cancer cell lines. These CR cells (CRCs) can be reprogrammed to maintain a highly proliferative state and reproduce the genomic and histological characteristics of the parental tissue. Therefore, CR technology may be a clinically relevant model to test and predict drug sensitivity, conduct gene profile analysis and xenograft research, and undertake personalized medicine. This review discusses studies that have applied CR technology to conduct breast cancer research.

Indexed as

Breast NeoplasmsAnimalsCell LineCoculture TechniquesFemaleHumansMicebreast cancerconditionally reprogrammed cellsprecision medicine

Identifiers

PMID37830602
PMCPMC10572051

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.