- Macrophage Migration Inhibitory Factor
- Nuclear Receptors and Signaling
- GDF15 and Related Biomarkers
- Biochemical Acid Research Studies
- Cancer-related molecular mechanisms research
- Apelin-related biomedical research
- Machine Learning and Algorithms
- Circular RNAs in diseases
- RNA Research and Splicing
- Cancer-related Molecular Pathways
- Statistical Methods and Inference
- Advanced Breast Cancer Therapies
- Sparse and Compressive Sensing Techniques
- RNA modifications and cancer
- Atomic and Molecular Physics
- MicroRNA in disease regulation
- Advanced Chemical Physics Studies
- Distributed Sensor Networks and Detection Algorithms
- HER2/EGFR in Cancer Research
- Medicinal Plant Pharmacodynamics Research
- Machine Learning and Data Classification
- Radiomics and Machine Learning in Medical Imaging
- Molecular Spectroscopy and Structure
- Inorganic Fluorides and Related Compounds
- Advanced Statistical Methods and Models
Anhui Medical University
2025
Second Hospital of Anhui Medical University
2025
Chongqing Medical University
2025
University of Science and Technology of China
2003-2024
Sunnybrook Health Science Centre
2024
Health Sciences Centre
2024
University of Toronto
2024
Sunnybrook Research Institute
2024
Anhui University
2009
Abstract Reprogramming of energy metabolism exerts pivotal functions in cancer progression and immune surveillance. Identification the mechanisms mediating metabolic changes may lead to improved strategies suppress tumor growth stimulate antitumor immunity. Here, it was observed that secretomes hypoxic breast cells stem (BCSC) induced reprogramming pathways, particularly glycolysis, normoxic cells. Screening BCSC secretome identified MIF as a factor potentiating glycolysis. Mechanistically,...
Although tamoxifen is commonly utilized as adjuvant therapy for Estrogen Receptor alpha (ERα)-positive breast cancer patients, approximately 30–50% of individuals treated with experience relapse. Therefore, it essential to investigate additional factors besides ERα that influence the estrogen response. In this study, cross-analysis databases were performed, and results revealed a significant association between LINC00626 signaling well increased expression levels gene in tamoxifen-resistant...
Abstract Resistance to chemotherapy remains a major obstacle the successful treatment of breast cancer. More than 80% patients who receive neoadjuvant (NAC) do not achieve pathologic complete response. In this study, we report novel p62 mRNA isoform with short 3′-UTR (untranslated region; p62-SU, 662-nt) that is associated chemoresistance in cancer cells and tissue specimens. The was identified by RNA sequencing qRT-PCR, 3′-RACE, Northern blot analysis. vitro vivo, ectopic expression p62-SU...
<div>Abstract<p>Reprogramming of energy metabolism exerts pivotal functions in cancer progression and immune surveillance. Identification the mechanisms mediating metabolic changes may lead to improved strategies suppress tumor growth stimulate antitumor immunity. Here, it was observed that secretomes hypoxic breast cells stem (BCSC) induced reprogramming pathways, particularly glycolysis, normoxic cells. Screening BCSC secretome identified MIF as a factor potentiating...
Abstract Estrogen receptor alpha (ERα) plays a vital role in the development of normal breast tissue and cancer. By cross-analyzing The Cancer Genome Atlas (TCGA) database, ERα-regulated long noncoding RNA 1 (ERLC1) was identified as exhibiting strong association with ERα signaling high specificity expression tissue. ERLC1 transcriptionally activated by ERα, stabilized ESR1 transcript sequestering miR-129 tethering FXR1 to maintain positive feedback loop that potentiated signaling. elevated...
The valence shell excitations of argon were investigated by an angle-resolved fast-electron energy-loss spectrometer at incident electron energy $2500\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$, and the transition multipolarities for $3p\ensuremath{\rightarrow}3d$, $4d$, $5s$, $5p$ elucidated with help calculated intermediate coupling coefficients using COWAN code. generalized oscillator strengths to $3{p}^{5}(3d,3{d}^{\ensuremath{'}})$, $3{p}^{5}(5p,5{p}^{\ensuremath{'}})$, $3{p}^{5}(5s,4d)$...
<p>Supplementary Figure S6 shows that BCSCs regulate cancer cell metabolic reprogramming through ALDOC.</p>
<p>Supplementary Figure S1 shows that CoCl2 CM enhances breast cancer glycolysis.</p>
<p>Supplementary Figure S4 shows that MIF secreted by BCSCs to enhance the glycolysis of breast cancer cells.</p>
<p>Supplementary Figure S7 shows that MIF is associated with immunosuppressive Tumor microenvironment.</p>
<p>Supplementary Figure S1 shows that CoCl2 CM enhances breast cancer glycolysis.</p>
<p>Supplementary Figure S3 shows that MIF is identified as a key cytokine secreted by BCSC.</p>
<p>Supplementary Figure S2 shows that BCSC CM enhances the aerobic glycolysis not oxidative phosphorylation.</p>
<p>Table S1 shows the sequences of sgRNAs, shRNAs and primers for cloning qRT-PCR analysis.</p>
<p>Supplementary Figure S6 shows that BCSCs regulate cancer cell metabolic reprogramming through ALDOC.</p>
<p>Supplementary Figure S8 shows that Targeting MIF enhances cancer cell sensitivity to immune killing.</p>
<div>Abstract<p>Reprogramming of energy metabolism exerts pivotal functions in cancer progression and immune surveillance. Identification the mechanisms mediating metabolic changes may lead to improved strategies suppress tumor growth stimulate antitumor immunity. Here, it was observed that secretomes hypoxic breast cells stem (BCSC) induced reprogramming pathways, particularly glycolysis, normoxic cells. Screening BCSC secretome identified MIF as a factor potentiating...
<p>Supplementary Figure S4 shows that MIF secreted by BCSCs to enhance the glycolysis of breast cancer cells.</p>
<p>Supplementary Figure S3 shows that MIF is identified as a key cytokine secreted by BCSC.</p>
<p>Table S1 shows the sequences of sgRNAs, shRNAs and primers for cloning qRT-PCR analysis.</p>
<p>Supplementary Figure S8 shows that Targeting MIF enhances cancer cell sensitivity to immune killing.</p>
<p>Table S2 Lists antibodies used in western blot, immunofluorescence and Flow cytometry.</p>