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1.
Eur J Cancer ; 151: 190-200, 2021 07.
Article in English | MEDLINE | ID: mdl-34010788

ABSTRACT

BACKGROUND: Adding ovarian function suppression (OFS) after chemotherapy improves survival in young women with moderate- and high-risk breast cancer. Assessment of ovarian function restoration after chemotherapy becomes critical for subsequent endocrine treatment and addressing fertility issues. PATIENTS AND METHODS: In the adding OFS after chemotherapy trial, patients who resumed ovarian function up to 2 years after chemotherapy were randomised to receive either 5 years of tamoxifen or adding 2 years of OFS with tamoxifen. Ovarian function was evaluated from enrolment to randomisation, and patients who did not randomise because of amenorrhoea for 2 years received tamoxifen and were followed up for 5 years. Prospectively collected consecutive hormone levels (proportion of patients with premenopausal follicle-stimulating hormone [FSH] levels <30 mIU/mL and oestradiol [E2] levels ≥40 pg/mL) and history of menstruation were available for 1067 patients with breast cancer. RESULTS: Over 5 years of tamoxifen treatment, 69% of patients resumed menstruation and 98% and 74% of patients satisfied predefined ovarian function restoration as per serum FSH and E2 levels, respectively. Menstruation was restored in 91% of patients younger than 35 years at baseline, but in only 33% of 45-year-old patients over 5 years. Among these patients, 41% experienced menstruation restoration within 2 years after chemotherapy and 28% slowly restored menstruation after 2-5 years. Younger age (<35 years) at baseline, anthracycline without taxanes and ≤90 days of chemotherapy were predictors of menstruation restoration. CONCLUSIONS: During 5 years of tamoxifen treatment after chemotherapy, two-thirds of the patients experienced menstruation restoration, especially patients younger than 35 years. Young age, Adriamycin without taxanes and short duration of chemotherapy appeared to have a positive effect on ovarian reserves in the long term. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT00912548.


Subject(s)
Antineoplastic Agents, Hormonal/therapeutic use , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Breast Neoplasms/drug therapy , Menstruation/drug effects , Ovary/drug effects , Premenopause , Tamoxifen/therapeutic use , Adult , Age Factors , Antineoplastic Agents, Hormonal/adverse effects , Antineoplastic Combined Chemotherapy Protocols/adverse effects , Biomarkers/blood , Estradiol/blood , Female , Follicle Stimulating Hormone, Human/blood , Humans , Menstruation/blood , Middle Aged , Ovary/metabolism , Ovary/physiopathology , Recovery of Function , Republic of Korea , Risk Assessment , Risk Factors , Tamoxifen/adverse effects , Time Factors , Treatment Outcome , Young Adult
2.
Mod Pathol ; 29(2): 194-208, 2016 Feb.
Article in English | MEDLINE | ID: mdl-26743476

ABSTRACT

Intestinal metaplasia in gastric mucosa is considered a preneoplastic lesion that progresses to gastric cancer. However, the molecular networks underlying this lesion formation are largely unknown. NKX6.3 is known to be an important regulator in gastric mucosal epithelial differentiation. In this study, we characterized the effects of NKX6.3 that may contribute to gastric intestinal metaplasia. NKX6.3 expression was significantly reduced in gastric mucosae with intestinal metaplasia. The mRNA expression levels of both NKX6.3 and CDX2 predicted the intestinal metaplasia risk, with an area under the receiver operating characteristic curve value of 0.9414 and 0.9971, respectively. Notably, the NKX6.3 expression level was positively and inversely correlated with SOX2 and CDX2, respectively. In stable AGS(NKX6.3) and MKN1(NKX6.3) cells, NKX6.3 regulated the expression of CDX2 and SOX2 by directly binding to the promoter regions of both genes. Nuclear NKX6.3 expression was detected only in gastric epithelial cells without intestinal metaplasia. Furthermore, NKX6.3-induced TWSG1 bound to BMP4 and inhibited BMP4-binding activity to BMPR-II. These data suggest that NKX6.3 might function as a master regulator of gastric differentiation by affecting SOX2 and CDX2 expression and the NKX6.3 inactivation may result in intestinal metaplasia in gastric epithelial cells.


Subject(s)
Cell Transdifferentiation , Cell Transformation, Neoplastic/genetics , Gene Silencing , Homeodomain Proteins/genetics , Precancerous Conditions/genetics , SOXB1 Transcription Factors/genetics , Stomach Neoplasms/genetics , Transcription Factors/genetics , Animals , Antigens, Bacterial/genetics , Antigens, Bacterial/metabolism , Area Under Curve , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Binding Sites , Bone Morphogenetic Protein 4/genetics , Bone Morphogenetic Protein 4/metabolism , CDX2 Transcription Factor , Cell Line, Tumor , Cell Transformation, Neoplastic/metabolism , Cell Transformation, Neoplastic/pathology , Disease Models, Animal , Female , Gastric Mucosa/metabolism , Gastric Mucosa/microbiology , Gastric Mucosa/pathology , Gene Expression Regulation, Neoplastic , Genetic Predisposition to Disease , Helicobacter Infections/genetics , Helicobacter Infections/metabolism , Helicobacter Infections/pathology , Helicobacter pylori/genetics , Helicobacter pylori/metabolism , Homeodomain Proteins/metabolism , Humans , Metaplasia , Mice, Inbred C57BL , Phenotype , Precancerous Conditions/metabolism , Precancerous Conditions/microbiology , Precancerous Conditions/pathology , Promoter Regions, Genetic , Proteins/genetics , Proteins/metabolism , RNA, Messenger/genetics , RNA, Messenger/metabolism , ROC Curve , Risk Assessment , Risk Factors , SOXB1 Transcription Factors/metabolism , Stomach Neoplasms/metabolism , Stomach Neoplasms/microbiology , Stomach Neoplasms/pathology , Transcription Factors/metabolism , Transfection
3.
Wound Repair Regen ; 24(1): 75-88, 2016.
Article in English | MEDLINE | ID: mdl-26606280

ABSTRACT

In contrast to the lab mouse, Mus musculus, several species of spiny mouse, Acomys, can regenerate epidermis, dermis, hairs, sebaceous glands with smooth muscle erector pili muscles and skeletal muscle of the panniculus carnonsus after full thickness skin wounding. Here, we have compared the responses of these scarring and nonscarring organisms concentrating on the immune cells and wound cytokines, cell proliferation, and the collagenous components of the wound bed and scar. The blood of Acomys is very neutropenic but there are greater numbers of mast cells in the Acomys wound than the Mus wound. Most importantly there are no F4/80 macrophages in the Acomys wound and many proinflammatory cytokines are either absent or in very low levels which we suggest may be primarily responsible for the excellent regenerative properties of the skin of this species. There is little difference in cell proliferation in the two species either in the epidermis or mesenchymal tissues but the cell density and matrix composition of the wound is very different. In Mus there are 8 collagens which are up-regulated at least 5-fold in the wound creating a strongly trichrome-positive matrix whereas in Acomys there are very few collagens present and the matrix shows only light trichrome staining. The major component of the Mus matrix is collagen XII which is up-regulated between 10 and 30-fold after wounding. These results suggest that in the Acomys wound the absence of many cytokines resulting in the lack of macrophages is responsible for the failure to up-regulate fibrotic collagens, a situation which permits a regenerative response within the skin rather than the generation of a scar.


Subject(s)
Cytokines/immunology , Macrophages/immunology , Mast Cells/immunology , Neutrophils/immunology , Regeneration/immunology , Skin/immunology , Wound Healing/immunology , Animals , Mice , Murinae , Proteomics , Real-Time Polymerase Chain Reaction , Regeneration/physiology , Skin/cytology , Skin/metabolism , Skin Physiological Phenomena , Wound Healing/genetics , Wound Healing/physiology
4.
J Gastroenterol Hepatol ; 23(6): 900-7, 2008 Jun.
Article in English | MEDLINE | ID: mdl-17995942

ABSTRACT

BACKGROUND AND AIM: Recent data indicate that hepatic steatosis is associated with insulin resistance, dyslipidemia and obesity (especially central body fat distribution). There have been few studies on the correlation between biopsy-proven hepatic steatosis and the above factors in a disease-free population. The aim of the present study was to evaluate the relation between hepatic steatosis assessed by biopsy and clinical characteristics including regional fat distribution measured by computed tomography (CT) in living liver donors. METHODS: Laboratory data, liver/spleen Hounsfield ratio (L/S ratio), regional fat distribution by CT and liver status by biopsy were evaluated retrospectively in a total of 177 living liver donors without a history of alcohol intake. RESULTS: The unpaired t-test showed that age, triglycerides (TG), high density lipoprotein, total cholesterol, alanine aminotransferase, body mass index, L/S ratio, visceral adipose tissue area (VAT) and subcutaneous adipose tissue area (SAT) were associated with hepatic steatosis. In the multiple logistic regression analysis, VAT (odds ratio 1.031, 95% CI 1.013-1.048, P < 0.01) and TG (odds ratio 1.012, 95% CI 1.004-1.020, P < 0.01) were independent risk factors of hepatic steatosis. Subgroup analysis also showed that VAT was an independent risk factor in men (odds ratio 1.022, 95% CI 1.003-1.041, P < 0.05) and women (odds ratio 1.086, 95% CI 1.010-1.168, P < 0.05). CONCLUSION: Our results suggest that visceral abdominal adiposity is correlated with hepatic steatosis in healthy living liver donors.


Subject(s)
Body Fat Distribution , Fatty Liver/diagnostic imaging , Fatty Liver/pathology , Intra-Abdominal Fat/diagnostic imaging , Intra-Abdominal Fat/pathology , Tomography, X-Ray Computed , Adolescent , Adult , Biopsy , Body Mass Index , Fatty Liver/etiology , Female , Humans , Living Donors , Male , Middle Aged , Obesity/complications , Odds Ratio , Regression Analysis , Retrospective Studies , Risk Factors , Subcutaneous Fat/diagnostic imaging , Subcutaneous Fat/pathology
5.
Rapid Commun Mass Spectrom ; 20(20): 3039-55, 2006.
Article in English | MEDLINE | ID: mdl-16986208

ABSTRACT

The development of novel proteomic technologies that will enable the discovery of disease specific biomarkers is essential in the clinical setting to facilitate early diagnosis and increase survivability rates. We are reporting a shotgun two-dimensional (2D) strong cationic exchange/reversed-phase liquid chromatography/electrospray ionization tandem mass spectrometry (SCX/RPLC/ESI-MS/MS) protocol for the analysis of proteomic constituents in cancerous cells. The MCF7 breast cancer cell line was chosen as a model system. A series of optimization steps were performed to improve the LC/MS experimental setup, sample preparation, data acquisition and database search protocols, and a data filtering strategy was developed to enable confident identification of a large number of proteins and potential biomarkers. This research has resulted in the identification of >2000 proteins using multiple filtering and p-value sorting. Approximately 1600-1900 proteins had p < 0.001, and, of these, approximately 60% were matched by >or=2 unique peptides. Alternatively, >99% of the proteins identified by >or=2 unique peptides had p < 0.001. When searching the data against a reversed database of proteins, the rate of false positive identifications was 0.1% at the peptide level and 0.4% at the protein level. The typical reproducibility in detecting overlapping proteins across replicate runs exceeded 90% for proteins matched by >or=2 unique peptides. According to their biological function, approximately 200 proteins were involved in cancer-relevant cellular processes, and over 25 proteins were previously described in the literature as putative cancer biomarkers, as they were found to be differentially expressed between normal and cancerous cell states. Among these, biomarkers such PCNA, cathepsin D, E-cadherin, 14-3-3-sigma, antigen Ki-67, TP53RK, and calreticulin were identified. These data were generated by subjecting to MS analysis approximately 42 microg of sample, analyzing 16 SCX peptide fractions, and interpreting approximately 55,000 MS2 spectra. Total MS time required for analysis was 40 h.


Subject(s)
Biomarkers, Tumor/analysis , Breast Neoplasms/metabolism , Chromatography, High Pressure Liquid/methods , Gene Expression Profiling/methods , Neoplasm Proteins/analysis , Proteome/analysis , Spectrometry, Mass, Electrospray Ionization/methods , Cell Line, Tumor , Humans
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