Results 121 to 130 of about 2,411,306 (333)

Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies

open access: hybrid, 2022
Denise M. Wolf   +32 more
openalex   +1 more source

Differential neuroproteomic and systems biology analysis of spinal cord injury [PDF]

open access: yes, 2016
Acute spinal cord injury (SCI) is a devastating condition with many consequences and no known effective treatment. Although it is quite easy to diagnose traumatic SCI, the assessment of injury severity and projection of disease progression or recovery ...
Bramlett, Helen M   +8 more
core   +2 more sources

Screening for lung cancer: A systematic review of overdiagnosis and its implications

open access: yesMolecular Oncology, EarlyView.
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz   +12 more
wiley   +1 more source

Latest developments in advanced exosome engineering for optimized site-specific drug delivery by modulating exosome functionalities in breast cancer

open access: yesDiscover Pharmaceutical Sciences
Breast cancer (BC), the second most common cancer worldwide, is frequently treated with chemotherapeutic agents as part of neoadjuvant therapies. However, the major drawback of chemotherapy comes at the cost of nonspecific drug targets.
Bikram Dawn   +3 more
doaj   +1 more source

Molecular characterization of vaginal microbiota using a new 22-species qRT-PCR test to achieve a relative-abundance and species-based diagnosis of bacterial vaginosis

open access: yesFrontiers in Cellular and Infection Microbiology
BackgroundNumerous bacteria are involved in the etiology of bacterial vaginosis (BV). Yet, current tests only focus on a select few. We therefore designed a new test targeting 22 BV-relevant species.MethodsUsing 946 stored vaginal samples, a new qPCR ...
Ayodeji B. Oyenihi   +7 more
doaj   +1 more source

Molecular biomarkers and toxic consequences of impact by organic pollution in aquatic organisms [PDF]

open access: yes, 1994
Organic contaminants are readily bioaccumulated by aquatic organisms. Exposure to and toxic effects of contaminants can be measured in terms of the biochemical responses of the organisms (i.e. molecular biomarkers).
Förlin, L.   +2 more
core  

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

open access: yesMolecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece   +18 more
wiley   +1 more source

Immune Characteristics of Chinese Diffuse Large B-Cell Lymphoma Patients: Implications for Cancer Immunotherapies

open access: yesEBioMedicine, 2018
Immunotherapeutic agents have demonstrated encouraging signs of clinical utility in non-Hodgkin lymphoma. The goal of this study is to analyze the immune characteristics of Chinese patients with diffuse large B-cell lymphoma (DLBCL) to inform the ...
Peng-peng Xu   +17 more
doaj   +1 more source

Quantification and expert evaluation of evidence for chemopredictive biomarkers to personalize cancer treatment. [PDF]

open access: yes, 2017
Predictive biomarkers have the potential to facilitate cancer precision medicine by guiding the optimal choice of therapies for patients. However, clinicians are faced with an enormous volume of often-contradictory evidence regarding the therapeutic ...
Beckman, Robert A.   +8 more
core   +1 more source

Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling

open access: yes, 2019
Disease progression modeling (DPM) using longitudinal data is a challenging machine learning task. Existing DPM algorithms neglect temporal dependencies among measurements, make parametric assumptions about biomarker trajectories, do not model multiple ...
Cardoso, M. Jorge   +6 more
core   +1 more source

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