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Prognostic features of signal transducer and activator of transcription 3 in an ER(+) breast cancer model system.

Liu LY, Chang LY, Kuo WH, Hwa HL, Lin YS, Jeng MH, Roth DA, Chang KJ, Hsieh FJ - Cancer Inform (2014)

Bottom Line: These data predict malignant events, treatment responses and a novel enhancer of tamoxifen resistance.Taken together, we identify a poor prognosis relevant gene set within the STAT3 network and a robust one in a subset of patients.VEGFA, ABL1, LYN, IGF2R and STAT3 are suggested therapeutic targets for further study based upon the degree of differential expression in our model.

View Article: PubMed Central - PubMed

Affiliation: Department of Agronomy, Biometry Division, National Taiwan University, Taipei, Taiwan.

ABSTRACT
The aberrantly expressed signal transducer and activator of transcription 3 (STAT3) predicts poor prognosis, primarily in estrogen receptor positive (ER(+)) breast cancers. Activated STAT3 is overexpressed in luminal A subtype cells. The mechanisms contributing to the prognosis and/or subtype relevant features of STAT3 in ER(+) breast cancers are through multiple interacting regulatory pathways, including STAT3-MYC, STAT3-ERα, and STAT3-MYC-ERα interactions, as well as the direct action of activated STAT3. These data predict malignant events, treatment responses and a novel enhancer of tamoxifen resistance. The inferred crosstalk between ERα and STAT3 in regulating their shared target gene-METAP2 is partially validated in the luminal B breast cancer cell line-MCF7. Taken together, we identify a poor prognosis relevant gene set within the STAT3 network and a robust one in a subset of patients. VEGFA, ABL1, LYN, IGF2R and STAT3 are suggested therapeutic targets for further study based upon the degree of differential expression in our model.

No MeSH data available.


Related in: MedlinePlus

Quality control evaluation on 151 gene expression dataset.The evaluation was made by the scatter plot analysis using data from hybridization (log2 ratios) and qPCR (−ΔCps). The Pearson’s correlation coefficient was used to find the linear relationships between mRNA expression levels derived from both log2 ratios and −ΔCps for the gene of interest. A good correlation is indicated between array gene expression (log2 ratio) and their corresponding qPCR data (−ΔCp) for ESR1(5561), PGR(11809) and ERBB2(764), respectively. The Agilent feature numbers are listed within the parenthesis next to the corresponding gene symbols. The 60 mer for PGR on array is for hybridizing with transcripts of PGR. The primer used for qPCR analysis only amplifies transcript variant 1 of PGR.
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Related In: Results  -  Collection


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f8-cin-13-2014-021: Quality control evaluation on 151 gene expression dataset.The evaluation was made by the scatter plot analysis using data from hybridization (log2 ratios) and qPCR (−ΔCps). The Pearson’s correlation coefficient was used to find the linear relationships between mRNA expression levels derived from both log2 ratios and −ΔCps for the gene of interest. A good correlation is indicated between array gene expression (log2 ratio) and their corresponding qPCR data (−ΔCp) for ESR1(5561), PGR(11809) and ERBB2(764), respectively. The Agilent feature numbers are listed within the parenthesis next to the corresponding gene symbols. The 60 mer for PGR on array is for hybridizing with transcripts of PGR. The primer used for qPCR analysis only amplifies transcript variant 1 of PGR.

Mentions: The qPCR procedure was done according to Kuo et al.20 4 primer IDs (Applied Biosystems, Foster City, CA, USA) designated as HT-A003, HT-A004, HT-A006 and a control primer ID as HH-T001 (TIB MOL BIOL, Germany) were used for amplification of the complementary deoxyribonucleic acid (cDNA) for PR, HER-2/neu, ER and the TATA box binding protein (TBP), respectively. Quality control data are shown in Figure 8.


Prognostic features of signal transducer and activator of transcription 3 in an ER(+) breast cancer model system.

Liu LY, Chang LY, Kuo WH, Hwa HL, Lin YS, Jeng MH, Roth DA, Chang KJ, Hsieh FJ - Cancer Inform (2014)

Quality control evaluation on 151 gene expression dataset.The evaluation was made by the scatter plot analysis using data from hybridization (log2 ratios) and qPCR (−ΔCps). The Pearson’s correlation coefficient was used to find the linear relationships between mRNA expression levels derived from both log2 ratios and −ΔCps for the gene of interest. A good correlation is indicated between array gene expression (log2 ratio) and their corresponding qPCR data (−ΔCp) for ESR1(5561), PGR(11809) and ERBB2(764), respectively. The Agilent feature numbers are listed within the parenthesis next to the corresponding gene symbols. The 60 mer for PGR on array is for hybridizing with transcripts of PGR. The primer used for qPCR analysis only amplifies transcript variant 1 of PGR.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3921136&req=5

f8-cin-13-2014-021: Quality control evaluation on 151 gene expression dataset.The evaluation was made by the scatter plot analysis using data from hybridization (log2 ratios) and qPCR (−ΔCps). The Pearson’s correlation coefficient was used to find the linear relationships between mRNA expression levels derived from both log2 ratios and −ΔCps for the gene of interest. A good correlation is indicated between array gene expression (log2 ratio) and their corresponding qPCR data (−ΔCp) for ESR1(5561), PGR(11809) and ERBB2(764), respectively. The Agilent feature numbers are listed within the parenthesis next to the corresponding gene symbols. The 60 mer for PGR on array is for hybridizing with transcripts of PGR. The primer used for qPCR analysis only amplifies transcript variant 1 of PGR.
Mentions: The qPCR procedure was done according to Kuo et al.20 4 primer IDs (Applied Biosystems, Foster City, CA, USA) designated as HT-A003, HT-A004, HT-A006 and a control primer ID as HH-T001 (TIB MOL BIOL, Germany) were used for amplification of the complementary deoxyribonucleic acid (cDNA) for PR, HER-2/neu, ER and the TATA box binding protein (TBP), respectively. Quality control data are shown in Figure 8.

Bottom Line: These data predict malignant events, treatment responses and a novel enhancer of tamoxifen resistance.Taken together, we identify a poor prognosis relevant gene set within the STAT3 network and a robust one in a subset of patients.VEGFA, ABL1, LYN, IGF2R and STAT3 are suggested therapeutic targets for further study based upon the degree of differential expression in our model.

View Article: PubMed Central - PubMed

Affiliation: Department of Agronomy, Biometry Division, National Taiwan University, Taipei, Taiwan.

ABSTRACT
The aberrantly expressed signal transducer and activator of transcription 3 (STAT3) predicts poor prognosis, primarily in estrogen receptor positive (ER(+)) breast cancers. Activated STAT3 is overexpressed in luminal A subtype cells. The mechanisms contributing to the prognosis and/or subtype relevant features of STAT3 in ER(+) breast cancers are through multiple interacting regulatory pathways, including STAT3-MYC, STAT3-ERα, and STAT3-MYC-ERα interactions, as well as the direct action of activated STAT3. These data predict malignant events, treatment responses and a novel enhancer of tamoxifen resistance. The inferred crosstalk between ERα and STAT3 in regulating their shared target gene-METAP2 is partially validated in the luminal B breast cancer cell line-MCF7. Taken together, we identify a poor prognosis relevant gene set within the STAT3 network and a robust one in a subset of patients. VEGFA, ABL1, LYN, IGF2R and STAT3 are suggested therapeutic targets for further study based upon the degree of differential expression in our model.

No MeSH data available.


Related in: MedlinePlus