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Cancer Molecular sentence examples within Breast Cancer Molecular
We further assessed mortality according to breast cancer molecular subtypes: luminal A (ER and/or PR positive, HER2 negative), luminal B (ER and/or PR positive, HER2 positive), HER2-enriched (HER2 over-expressed or amplified, ER and PR negative) and triple-negative (ER and PR negative, HER2 negative) tumors.
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), biomarkers of breast cancer molecular subtypes (luminal A and luminal B, HER2/neu, basal and low in claudine) and biomarkers of early stage breast cancer progression (multigenic panels).
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Cancer Molecular sentence examples within Lung Cancer Molecular
The data from the literature demonstrate that cytology show consistent results, and it is a good alternative for lung cancer molecular testing.
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During the past decade, progress has been made in the field of lung cancer molecular biology and onco-immunology, leading to prolonged survival of patients.
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Cancer Molecular sentence examples within Bladder Cancer Molecular
The molecular rationale for identifying novel bladder cancer molecular targets has been established.
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If prospective studies confirm the association of bladder cancer molecular subtypes with different responses and prognoses to targeted therapies, molecular subtyping will be incorporated into bladder cancer management.
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Cancer Molecular sentence examples within Prostate Cancer Molecular
The meaning of these alterations needs to be validated in the specific prostate cancer molecular subtype context.
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Metastatic Castration-Resistant Prostate Cancer (mCRPC) includes a subset of patients with particularly unfavorable prognosis characterized by combined defects in at least two of three tumor suppressors PTEN, RB1, and TP53 as aggressive variant prostate cancer molecular signature (AVPC-MS).
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Cancer Molecular sentence examples within Gastric Cancer Molecular
The distinction of gastric cancer molecular subtypes may be a key to identify novel therapeutic targets, to predict patient outcome and response to therapy, and to guide early diagnosis strategies.
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To understand the expression and role of gastric cancer molecular signaling pathway in cancer pain is expected to provide a new idea for the treatment of cancer pain.
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Cancer Molecular sentence examples within Unique Cancer Molecular
Using FFBN, we discovered that CLM has its unique cancer molecular mechanisms and shares a certain degree of similarity with both PL and PC.
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Using FFBN, we discovered that CLM has its unique cancer molecular mechanisms and shares a certain degree of similarity with both PL and PC.
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Cancer Molecular sentence examples within Variou Cancer Molecular
Cancer Molecular sentence examples within Ovarian Cancer Molecular
Simple Summary Knowledge of ovarian cancer molecular characteristics is increasingly crucial to individualizing and optimizing treatment strategies for this heterogeneous disease.
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We tested the contribution of cell admixture in published ovarian cancer molecular subtypes and prognostic gene signatures.
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Cancer Molecular sentence examples within Endometrial Cancer Molecular
Since the copy number–high (CN-H) endometrial cancer molecular subtype (EC-MS) shares molecular features with high-grade ovarian cancer, our aim was to assign EC-MS on the basis of comprehensive genomic profiling (CGP) results and evaluate the gLOH status with clinical behavior of EC.
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Efficacy assessment of new biological agents is still ongoing based on previous preclinical data on endometrial cancer molecular features.
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Cancer Molecular sentence examples within cancer molecular subtype
We further assessed mortality according to breast cancer molecular subtypes: luminal A (ER and/or PR positive, HER2 negative), luminal B (ER and/or PR positive, HER2 positive), HER2-enriched (HER2 over-expressed or amplified, ER and PR negative) and triple-negative (ER and PR negative, HER2 negative) tumors.
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), biomarkers of breast cancer molecular subtypes (luminal A and luminal B, HER2/neu, basal and low in claudine) and biomarkers of early stage breast cancer progression (multigenic panels).
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Cancer Molecular sentence examples within cancer molecular mechanism
Background: transcriptome data provide a valuable resource for the study of cancer molecular mechanisms, but technical biases, samples’ heterogeneity and small sample sizes result in poorly reproducible lists of regulated genes.
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Using FFBN, we discovered that CLM has its unique cancer molecular mechanisms and shares a certain degree of similarity with both PL and PC.
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Cancer Molecular sentence examples within cancer molecular subtyping
Cancer Molecular sentence examples within cancer molecular imaging
Therefore, the Dox-AuNP-probe represents a promising nanotheranostic platform for future applications in cancer molecular imaging and therapy, especially providing a potential strategy to treat resistant cancers.
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In the era of precision medicine, statistical and computer sciences are currently revolutionizing image-based decision making, paving the way for more holistic cancer molecular imaging analyses at the whole-body level.
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Cancer Molecular sentence examples within cancer molecular target
Cancer Molecular sentence examples within cancer molecular signature
Metastatic Castration-Resistant Prostate Cancer (mCRPC) includes a subset of patients with particularly unfavorable prognosis characterized by combined defects in at least two of three tumor suppressors PTEN, RB1, and TP53 as aggressive variant prostate cancer molecular signature (AVPC-MS).
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Biomarkers that can guide cancer therapy based on patients’ individual cancer molecular signature can enable a more effective treatment with fewer adverse events.
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Cancer Molecular sentence examples within cancer molecular characteristic
Simple Summary Knowledge of ovarian cancer molecular characteristics is increasingly crucial to individualizing and optimizing treatment strategies for this heterogeneous disease.
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We review several directions of research around this topic, emphasizing the use of machine learning in personalized predictions of clinical outcome, in breaking down broad umbrella diagnostic categories into more detailed and precise subtypes, and in non-invasively estimating cancer molecular characteristics.
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Cancer Molecular sentence examples within cancer molecular pathology
1 Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh, 2 Department of Endocrinology and Diabetes Mellitus, Fukuoka University Chikushi Hospital, Chikushino, Japan, 3 School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Herston, QLD, Australia, 4 Genomics Research Centre, Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia, 5 Cancer Molecular Pathology of School of Medicine and Dentistry, Griffith University, Gold Coast, QLD, Australia.
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Method: This case-control study was performed in the Cancer Molecular Pathology Research Center of Mashhad University of Medical Sciences.
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Cancer Molecular sentence examples within cancer molecular pathway
Cell- and gene-based therapies can offer alternate approaches by fostering either attacking selectively the cancel cells or block the cancer molecular pathways.
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Two of the most studied breast cancer molecular pathways are the cell cycle protein kinases and P13/AKT signalling pathway.
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Cancer Molecular sentence examples within cancer molecular marker
Cancer Molecular sentence examples within cancer molecular biomarker
Other non-coding RNAs, termed microRNAs (miRNAs or miRs), are very promising cancer molecular biomarkers.
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Small specimens collected by minimally invasive techniques such as fine needle aspiration and core needle biopsy often fall short in meeting adequacy requirements for lung cancer molecular biomarkers.
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Cancer Molecular sentence examples within cancer molecular diagnostic
Cancer Molecular sentence examples within cancer molecular feature
Efficacy assessment of new biological agents is still ongoing based on previous preclinical data on endometrial cancer molecular features.
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Patients with aberrant JAK-STAT signaling demon-strated pan-cancer molecular features associated with misex-pression of genes in other oncogenic pathways (Wnt, MAPK, TGF-β, PPAR and VEGF).
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Cancer Molecular sentence examples within cancer molecular biology
In the current article, we review the techniques routinely used in cancer molecular biology platforms as well as new techniques under development.
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During the past decade, progress has been made in the field of lung cancer molecular biology and onco-immunology, leading to prolonged survival of patients.
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Cancer Molecular sentence examples within cancer molecular diagnosi
This workflow shows great potential for research and the clinical practice of cancer molecular diagnosis.
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BackgroundSequencing errors are key confounding factors for detecting low-frequency genetic variants that are important for cancer molecular diagnosis, treatment, and surveillance using deep next-generation sequencing (NGS).
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Cancer Molecular sentence examples within cancer molecular taxonomy
In 2019, the Bladder Cancer Molecular Taxonomy Group (BCMTG) presented a consensus molecular classification comprising six subtypes of muscle-invasive bladder cancer (MIBC).
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Advances in molecular subtyping and multiomics nanotechnology-based prostate cancer risk delineation can enable refinement of prostate cancer molecular taxonomy into clinically meaningful and treatable subtypes.
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Cancer Molecular sentence examples within cancer molecular classification
Cancer Molecular sentence examples within cancer molecular testing
The data from the literature demonstrate that cytology show consistent results, and it is a good alternative for lung cancer molecular testing.
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This result suggests that a deep learning model based on a convolutional neural network can assist pathologists and pathology technician in rigorous assessing the quality of tissue morphology and signal of FISH for tissue samples with various molecular quality before or during the molecular test and can be applied to quality control of lung cancer molecular testing in a central laboratory.
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Cancer Molecular sentence examples within cancer molecular profiling
Aims Heterogeneous implementation of molecular tests in current diagnostic algorithm at a European and international level is emerging as a major issue for efficient lung cancer molecular profiling.
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Advances in cancer molecular profiling have enabled the development of more effective approaches to the diagnosis and personalized treatment of tumors.
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Finally, the implementation of such cancer molecular and immunologic explorations in prospective clinical trials could de-risk the demonstration of more effective anticancer strategies in randomized registration trials, and bring us closer to the promise of cure.
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Such a variety of cancer molecular and clinical data calls for advancing the interoperability among AI approaches, with particular emphasis on the synergy between discriminative and generative models that we discuss in this work with several examples of techniques and applications.
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&NA; p53 is generally known as an effective anti‐cancer molecular, but it is lost or mutated in more than 50% of human tumors.
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