Miaomiao Sheng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Miaomiao Sheng has a total of 60 co-authors. Here are the top co-authors by number of shared publications:
Fang Wang
Laboratory of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Chenggong Campus, 727 South Jingming Road, Kunming, Yunnan 650500, China
3 shared publicationsShanshan Li
Laboratory of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Chenggong Campus, 727 South Jingming Road, Kunming, Yunnan 650500, China
3 shared publications- Wenru Tang
Laboratory of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Chenggong Campus, 727 South Jingming Road, Kunming, Yunnan 650500, China
3 shared publications Ying Luo
Laboratory of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Chenggong Campus, 727 South Jingming Road, Kunming, Yunnan 650500, China
3 shared publicationsYueguang Zhao
Laboratory of Molecular Genetics of Aging & Tumor, Medical Faculty, Kunming University of Science and Technology, Chenggong Campus, 727 South Jingming Road, Kunming, Yunnan 650500, China
3 shared publications- Ling Zheng
Laboratory of Molecular Genetics of Aging & Tumor Medical Faculty Kunming University of Science and Technology Kunming Yunnan China
2 shared publications
Latest Publications
- 12 June 2026
- Published by Elsevier in Clinical Breast Cancer
- Vol. 26 (7) , 64-74
LINC01234 Coordinates Protein Interactions and ceRNA Networks to Enhance YWHAZ-Driven Malignancy in Triple-Negative Breast Cancer
- 12 June 2026
- Published by Elsevier in Clinical Breast Cancer
- Vol. 26 (7) , 64-74
LINC01234 Coordinates Protein Interactions and ceRNA Networks to Enhance YWHAZ-Driven Malignancy in Triple-Negative Breast Cancer
- Open Access
- 12 February 2020
- Published by Wiley in The Breast Journal
- Vol. 26 (9) , 1797-1800
Application of circulating tumor DNA in breast cancer
Precision medicine has been well recognized since it was proposed, and the invention of liquid biopsy meets the needs of this era. Circulating tumor DNA (ctDNA), one of the most promising components of liquid biopsies, has quickly become the focus of research in recent years because of its unique advantages in clinical application. This article reviews the clinical application of ctDNA in breast cancer detection in recent years and its potential clinical value.
- 12 February 2020
- Published by Wiley in The Breast Journal
- Vol. 26 (9) , 1797-1800
Open AccessApplication of circulating tumor DNA in breast cancer
Precision medicine has been well recognized since it was proposed, and the invention of liquid biopsy meets the needs of this era. Circulating tumor DNA (ctDNA), one of the most promising components of liquid biopsies, has quickly become the focus of research in recent years because of its unique advantages in clinical application. This article reviews the clinical application of ctDNA in breast cancer detection in recent years and its potential clinical value.
- Open Access
- 1 January 2019
- Published by XMLink in Journal of Breast Cancer
- Vol. 22 (2) , 219-236
miR-148b-3p, miR-190b, and miR-429 Regulate Cell Progression and Act as Potential Biomarkers for Breast Cancer
Dai W, et al. J Breast Cancer. 2019 Mar;22:e19. https://doi.org/10.4048/jbc.2019.22.e19
- 1 January 2019
- Published by XMLink in Journal of Breast Cancer
- Vol. 22 (2) , 219-236
Open AccessmiR-148b-3p, miR-190b, and miR-429 Regulate Cell Progression and Act as Potential Biomarkers for Breast Cancer
Dai W, et al. J Breast Cancer. 2019 Mar;22:e19. https://doi.org/10.4048/jbc.2019.22.e19
- Open Access
- 29 September 2016
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 17 (10) , 1654
Phenotype-Genotype Association Analysis of ACTH-Secreting Pituitary Adenoma and Its Molecular Link to Patient Osteoporosis
Adrenocorticotrophin (ACTH)-secreting pituitary adenoma, also known as Cushing disease (CD), is rare and causes metabolic syndrome, cardiovascular disease and osteoporosis due to hypercortisolism. However, the molecular pathogenesis of CD is still unclear because of a lack of human cell lines and animal models. Here, we study 106 clinical characteristics and gene expression changes from 118 patients, the largest cohort of CD in a single-center. RNA deep sequencing is used to examine genotypic changes in nine paired female ACTH-secreting pituitary adenomas and adjacent nontumorous pituitary tissues (ANPT). We develop a novel analysis linking disease clinical characteristics and whole transcriptomic changes, using Pearson Correlation Coefficient to discover a molecular network mechanism. We report that osteoporosis is distinguished from the phenotype and genotype analysis. A cluster of genes involved in osteoporosis is identified using Pearson correlation coefficient analysis. Most of the genes are reported in the bone related literature, confirming the feasibility of phenotype-genotype association analysis, which could be used in the analysis of almost all diseases. Secreted phosphoprotein 1 (SPP1), collagen type I α 1 chain (COL1A1), 5′-nucleotidase ecto (NT5E), HtrA serine peptidase 1 (HTRA1) and angiopoietin 1 (ANGPT1) and their signalling pathways are shown to be involved in osteoporosis in CD patients. Our discoveries provide a molecular link for osteoporosis in CD patients, and may open new potential avenues for osteoporosis intervention and treatment.
- 29 September 2016
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 17 (10) , 1654
Open AccessPhenotype-Genotype Association Analysis of ACTH-Secreting Pituitary Adenoma and Its Molecular Link to Patient Osteoporosis
Adrenocorticotrophin (ACTH)-secreting pituitary adenoma, also known as Cushing disease (CD), is rare and causes metabolic syndrome, cardiovascular disease and osteoporosis due to hypercortisolism. However, the molecular pathogenesis of CD is still unclear because of a lack of human cell lines and animal models. Here, we study 106 clinical characteristics and gene expression changes from 118 patients, the largest cohort of CD in a single-center. RNA deep sequencing is used to examine genotypic changes in nine paired female ACTH-secreting pituitary adenomas and adjacent nontumorous pituitary tissues (ANPT). We develop a novel analysis linking disease clinical characteristics and whole transcriptomic changes, using Pearson Correlation Coefficient to discover a molecular network mechanism. We report that osteoporosis is distinguished from the phenotype and genotype analysis. A cluster of genes involved in osteoporosis is identified using Pearson correlation coefficient analysis. Most of the genes are reported in the bone related literature, confirming the feasibility of phenotype-genotype association analysis, which could be used in the analysis of almost all diseases. Secreted phosphoprotein 1 (SPP1), collagen type I α 1 chain (COL1A1), 5′-nucleotidase ecto (NT5E), HtrA serine peptidase 1 (HTRA1) and angiopoietin 1 (ANGPT1) and their signalling pathways are shown to be involved in osteoporosis in CD patients. Our discoveries provide a molecular link for osteoporosis in CD patients, and may open new potential avenues for osteoporosis intervention and treatment.
- 1 August 2016
- Published by Elsevier in The Breast
- Vol. 28, 45-53
Predictive role of the overexpression for CXCR4, C-Met, and VEGF-C among breast cancer patients: A meta-analysis
- 1 August 2016
- Published by Elsevier in The Breast
- Vol. 28, 45-53
Predictive role of the overexpression for CXCR4, C-Met, and VEGF-C among breast cancer patients: A meta-analysis
- Open Access
- 1 January 2016
- Vol. 8 (1) , 98-115-U383
Targeted drugs for unselected patients with advanced non-small-cell lung cancer: a network meta-analysis
Targeted drugs for unselected patients with advanced non-small-cell lung cancer: a network meta-analysis
- 1 January 2016
- Vol. 8 (1) , 98-115-U383
Open AccessTargeted drugs for unselected patients with advanced non-small-cell lung cancer: a network meta-analysis
Targeted drugs for unselected patients with advanced non-small-cell lung cancer: a network meta-analysis
- 21 October 2015
- Published by Springer Nature in European Journal of Clinical Pharmacology
- Vol. 72 (1) , 1-11
Comparison of clinical outcomes of patients with non-small-cell lung cancer harbouring epidermal growth factor receptor exon 19 or exon 21 mutations after tyrosine kinase inhibitors treatment: a meta-analysis
Purpose Exon 19 deletion and exon 21 L858R mutation were the most common epidermal growth factor receptor (EGFR) mutations. We examined the clinical impact of these two mutations in patients with non-small-cell lung cancer (NSCLC) after EGFR tyrosine kinase inhibitor (TKI) treatment. Methods The outcomes of interest were progression-free survival (PFS), overall survival (OS) and objective response rates (ORR), network meta-analysis and direct meta-analysis were conducted to calculate the efficacy of EGFR-TKIs between these two mutations. We also investigated the association between EGFR mutation types and clinical characteristics. Results A total of 4835 patients from 26 trials were assessed. EGFR-TKIs, compared with chemotherapy, significantly prolonged PFS and OS in both exon 19 deletion and exon 21 L858R mutation based on 8 trials. Network meta-analysis revealed that treatment with EGFR-TKIs had greater benefit in exon 19 deletion than in exon 21 L858R mutation. Furthermore, direct meta-analysis from 12 studies showed the similar result; patients with exon 19 deletion had a significantly longer PFS compared with exon 21 L858R mutation (HR, 0.69; 95 % CI, 0.57–0.82; P < 0.001). There were also greater benefit on OS (HR, 0.61; 95 % CI, 0.43–0.86; P = 0.005) and higher ORR (OR, 2.14; 95 % CI, 1.63–2.81; P < 0.001). Additionally, we found that a significant association between the type of mutation and age (P < 0.001) or smoking status (P = 0.022), but no other significant differences were detected in sex, histologic subtype and performance status between these two mutations. Conclusions Patients with NSCLC and EGFR exon 19 deletion had a longer PFS, OS and higher response rates after EGFR-TKI therapy compared with exon 21 L858R mutation.
- 21 October 2015
- Published by Springer Nature in European Journal of Clinical Pharmacology
- Vol. 72 (1) , 1-11
Comparison of clinical outcomes of patients with non-small-cell lung cancer harbouring epidermal growth factor receptor exon 19 or exon 21 mutations after tyrosine kinase inhibitors treatment: a meta-analysis
Purpose Exon 19 deletion and exon 21 L858R mutation were the most common epidermal growth factor receptor (EGFR) mutations. We examined the clinical impact of these two mutations in patients with non-small-cell lung cancer (NSCLC) after EGFR tyrosine kinase inhibitor (TKI) treatment. Methods The outcomes of interest were progression-free survival (PFS), overall survival (OS) and objective response rates (ORR), network meta-analysis and direct meta-analysis were conducted to calculate the efficacy of EGFR-TKIs between these two mutations. We also investigated the association between EGFR mutation types and clinical characteristics. Results A total of 4835 patients from 26 trials were assessed. EGFR-TKIs, compared with chemotherapy, significantly prolonged PFS and OS in both exon 19 deletion and exon 21 L858R mutation based on 8 trials. Network meta-analysis revealed that treatment with EGFR-TKIs had greater benefit in exon 19 deletion than in exon 21 L858R mutation. Furthermore, direct meta-analysis from 12 studies showed the similar result; patients with exon 19 deletion had a significantly longer PFS compared with exon 21 L858R mutation (HR, 0.69; 95 % CI, 0.57–0.82; P < 0.001). There were also greater benefit on OS (HR, 0.61; 95 % CI, 0.43–0.86; P = 0.005) and higher ORR (OR, 2.14; 95 % CI, 1.63–2.81; P < 0.001). Additionally, we found that a significant association between the type of mutation and age (P < 0.001) or smoking status (P = 0.022), but no other significant differences were detected in sex, histologic subtype and performance status between these two mutations. Conclusions Patients with NSCLC and EGFR exon 19 deletion had a longer PFS, OS and higher response rates after EGFR-TKI therapy compared with exon 21 L858R mutation.
- Open Access
- 19 September 2014
- Published by Springer Nature in Science China Life Sciences
- Vol. 57 (10) , 982-4
Potential clinical treatment for Ebola pandemic.
- 19 September 2014
- Published by Springer Nature in Science China Life Sciences
- Vol. 57 (10) , 982-4
Open AccessPotential clinical treatment for Ebola pandemic.