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Galectin-3 and Beclin1/Atg6 genes in human cancers: using cDNA tissue panel, qRT-PCR, and logistic regression model to identify cancer cell biomarkers.

Idikio HA - PLoS ONE (2011)

Bottom Line: Miner software derived formula was used to calculate mRNA levels and then fold changes.High levels of Beclin1 mRNA levels were in liver and prostate cancers when compared to normal tissues.Breast, kidney and thyroid cancers had high galectin-3 levels and low Beclin1 levels.

View Article: PubMed Central - PubMed

Affiliation: Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada. hidikio@ualberta.ca

ABSTRACT

Background: Cancer biomarkers are sought to support cancer diagnosis, predict cancer patient response to treatment and survival. Identifying reliable biomarkers for predicting cancer treatment response needs understanding of all aspects of cancer cell death and survival. Galectin-3 and Beclin1 are involved in two coordinated pathways of programmed cell death, apoptosis and autophagy and are linked to necroptosis/necrosis. The aim of the study was to quantify galectin-3 and Beclin1 mRNA in human cancer tissue cDNA panels and determine their utility as biomarkers of cancer cell survival.

Methods and results: A panel of 96 cDNAs from eight (8) different normal and cancer tissue types were used for quantitative real-time polymerase chain reaction (qRT-PCR) using ABI7900HT. Miner2.0, a web-based 4- and 3-parameter logistic regression software was used to derive individual well polymerase chain reaction efficiencies (E) and cycle threshold (Ct) values. Miner software derived formula was used to calculate mRNA levels and then fold changes. The ratios of cancer to normal tissue levels of galectin-3 and Beclin1 were calculated (using the mean for each tissue type). Relative mRNA expressions for galectin-3 were higher than for Beclin1 in all tissue (normal and cancer) types. In cancer tissues, breast, kidney, thyroid and prostate had the highest galectin-3 mRNA levels compared to normal tissues. High levels of Beclin1 mRNA levels were in liver and prostate cancers when compared to normal tissues. Breast, kidney and thyroid cancers had high galectin-3 levels and low Beclin1 levels.

Conclusion: Galectin-3 expression patterns in normal and cancer tissues support its reported roles in human cancer. Beclin1 expression pattern supports its roles in cancer cell survival and in treatment response. qRT-PCR analysis method used may enable high throughput studies to generate molecular biomarker sets for diagnosis and predicting cancer treatment response.

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Related in: MedlinePlus

Box plots comparing galectin-3 and Beclin1 mRNA levels in all tissue types.(mean+/−standard deviation) Gal3 = 67.605e-02+/−1.3030 Beclin1 = 3.1806e-02+/−6.4003e-02.
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pone-0026150-g003: Box plots comparing galectin-3 and Beclin1 mRNA levels in all tissue types.(mean+/−standard deviation) Gal3 = 67.605e-02+/−1.3030 Beclin1 = 3.1806e-02+/−6.4003e-02.

Mentions: Expression levels of mRNAs for galectin-3 and Beclin1 in all 96 tissues are shown in Fig. 3. Wilcoxon Signed-Rank tests for the differences between galectin-3 and Beclin1 showed p-value of 2.22045e-1(two-tailed). In breast cancer tissues, galectin-3 but not Beclin1 was highly expressed in cancer compared to normal tissue. In colonic cancer tissues, Beclin1 was higher in cancer compared to normal, while galectin-3 was lower compared to normal tissues. Beclin1 level was higher in cancer than normal liver tissues while galectin-3 was low though higher in cancer than normal tissues. Kidney and thyroid cancer tissues had high galectin-3 but lower Beclin1 in cancer compared to normal. In the ovaries, both galectin-3 and Beclin1 levels were lower in cancers compared to normal ovarian tissues. Lung tissues had lower galectin-3 and higher Beclin1 in cancer compared to normal. Prostate cancer tissues had both galectin-3 and Beclin1 levels above normal tissue levels (Tables 2, 3, 4 and 5; Figure 4).


Galectin-3 and Beclin1/Atg6 genes in human cancers: using cDNA tissue panel, qRT-PCR, and logistic regression model to identify cancer cell biomarkers.

Idikio HA - PLoS ONE (2011)

Box plots comparing galectin-3 and Beclin1 mRNA levels in all tissue types.(mean+/−standard deviation) Gal3 = 67.605e-02+/−1.3030 Beclin1 = 3.1806e-02+/−6.4003e-02.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3198435&req=5

pone-0026150-g003: Box plots comparing galectin-3 and Beclin1 mRNA levels in all tissue types.(mean+/−standard deviation) Gal3 = 67.605e-02+/−1.3030 Beclin1 = 3.1806e-02+/−6.4003e-02.
Mentions: Expression levels of mRNAs for galectin-3 and Beclin1 in all 96 tissues are shown in Fig. 3. Wilcoxon Signed-Rank tests for the differences between galectin-3 and Beclin1 showed p-value of 2.22045e-1(two-tailed). In breast cancer tissues, galectin-3 but not Beclin1 was highly expressed in cancer compared to normal tissue. In colonic cancer tissues, Beclin1 was higher in cancer compared to normal, while galectin-3 was lower compared to normal tissues. Beclin1 level was higher in cancer than normal liver tissues while galectin-3 was low though higher in cancer than normal tissues. Kidney and thyroid cancer tissues had high galectin-3 but lower Beclin1 in cancer compared to normal. In the ovaries, both galectin-3 and Beclin1 levels were lower in cancers compared to normal ovarian tissues. Lung tissues had lower galectin-3 and higher Beclin1 in cancer compared to normal. Prostate cancer tissues had both galectin-3 and Beclin1 levels above normal tissue levels (Tables 2, 3, 4 and 5; Figure 4).

Bottom Line: Miner software derived formula was used to calculate mRNA levels and then fold changes.High levels of Beclin1 mRNA levels were in liver and prostate cancers when compared to normal tissues.Breast, kidney and thyroid cancers had high galectin-3 levels and low Beclin1 levels.

View Article: PubMed Central - PubMed

Affiliation: Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada. hidikio@ualberta.ca

ABSTRACT

Background: Cancer biomarkers are sought to support cancer diagnosis, predict cancer patient response to treatment and survival. Identifying reliable biomarkers for predicting cancer treatment response needs understanding of all aspects of cancer cell death and survival. Galectin-3 and Beclin1 are involved in two coordinated pathways of programmed cell death, apoptosis and autophagy and are linked to necroptosis/necrosis. The aim of the study was to quantify galectin-3 and Beclin1 mRNA in human cancer tissue cDNA panels and determine their utility as biomarkers of cancer cell survival.

Methods and results: A panel of 96 cDNAs from eight (8) different normal and cancer tissue types were used for quantitative real-time polymerase chain reaction (qRT-PCR) using ABI7900HT. Miner2.0, a web-based 4- and 3-parameter logistic regression software was used to derive individual well polymerase chain reaction efficiencies (E) and cycle threshold (Ct) values. Miner software derived formula was used to calculate mRNA levels and then fold changes. The ratios of cancer to normal tissue levels of galectin-3 and Beclin1 were calculated (using the mean for each tissue type). Relative mRNA expressions for galectin-3 were higher than for Beclin1 in all tissue (normal and cancer) types. In cancer tissues, breast, kidney, thyroid and prostate had the highest galectin-3 mRNA levels compared to normal tissues. High levels of Beclin1 mRNA levels were in liver and prostate cancers when compared to normal tissues. Breast, kidney and thyroid cancers had high galectin-3 levels and low Beclin1 levels.

Conclusion: Galectin-3 expression patterns in normal and cancer tissues support its reported roles in human cancer. Beclin1 expression pattern supports its roles in cancer cell survival and in treatment response. qRT-PCR analysis method used may enable high throughput studies to generate molecular biomarker sets for diagnosis and predicting cancer treatment response.

Show MeSH
Related in: MedlinePlus