<?xml version = '1.0' encoding = 'UTF-8'?>
<?xml-stylesheet href="/rss/styledrssBMC.css" type="text/css"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:extra="http://www.biomedcentral.com/xml/schemas/extra/" xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/" xmlns:cc="http://web.resource.org/cc/">
	<channel rdf:about="http://www.biomedcentral.com/rss">
		<extra:info rdf:parseType="Literal">
			<html:div xmlns:html="http://www.w3.org/1999/xhtml" style="font:14px Verdana, Geneva, Arial, Helvetica, sans-serif">
				<html:span style="font-weight:bold">This is an RSS newsfeed from BioMed Central</html:span>
				<html:br/>
				<html:span style="font-size: 12px;">It is intended to be used with an RSS reader. For more information about RSS newsfeeds from BioMed Central, visit <html:br/><html:a href="http://www.biomedcentral.com/info/about/rss/" style="color:#3333CC; font-size:12px;">http://www.biomedcentral.com/info/about/rss/</html:a><html:br/>
				</html:span>
			</html:div>
		</extra:info>
		<title>BMC Medicine - Latest articles</title>
		<link>http://www.biomedcentral.com/bmcmed/</link>
		<description>The latest articles from BMC Medicine (ISSN 1741-7015) published by 
				
				BioMed Central
		</description>
        <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        <items>
            <rdf:Seq>
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/20"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/19"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/18"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/17"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/16"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/15"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/14"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/13"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/12"/>			    
            
				    <rdf:li rdf:resource="http://www.biomedcentral.com/1741-7015/6/11"/>			    
            
            </rdf:Seq>
        </items>
    </channel>  
    
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/20">
            
            <title>Connexin-43 upregulation in micrometastases and tumor vasculature and its role in tumor cell attachment to pulmonary endothelium</title>
			<description>Background:
The modulation of gap junctional communication between tumor cells and between tumor and vascular endothelial cells during tumorigenesis and metastasis is complex. The notion of a role for loss of gap junctional intercellular communication in tumorigenesis and metastasis has been controversial. While some of the stages of tumorigenesis and metastasis, such as uncontrolled cell division and cellular detachment, would necessitate the loss of intercellular junctions, other stages, such as intravasation, endothelial attachment, and vascularization, likely require increased cell-cell contact. We hypothesized that, in this multi-stage scheme, connexin-43 is centrally involved as a cell adhesion molecule mediating metastatic tumor attachment to the pulmonary endothelium. 
Methods:
Tumor cell attachment to pulmonary vasculature, tumor growth, and connexin-43 expression was studied in metastatic lung tumor sections obtained after tail-vein injection into nude mice of syngeneic breast cancer cell lines, overexpressing wild type connexin-43 or dominant-negatively mutated connexin-43 proteins. High-resolution immunofluorescence microscopy and Western blot analysis was performed using a connexin-43 monoclonal antibody. Calcein Orange Red AM dye transfer by fluorescence imaging was used to evaluate the gap junction function.
Results:
Adhesion of breast cancer cells to the pulmonary endothelium increased with cancer cells overexpressing connexin-43 and markedly decreased with cells expressing dominant-negative connexin-43. Upregulation of connexin-43 was observed in tumor cell-endothelial cell contact areas in vitro and in vivo, and in areas of intratumor blood vessels and in micrometastatic foci. 
Conclusion:
Connexin-43 facilitates metastatic 'homing' by increasing adhesion of cancer cells to the lung endothelial cells. The marked upregulation of connexin-43 in tumor cell-endothelial cell contact areas, whether in preexisting 'homing' vessels or in newly formed tumor vessels, suggests that connexin-43 can serve as a potential marker of micrometastases and tumor vasculature and that it may play a role in the early incorporation of endothelial cells into small tumors as seeds for vasculogenesis.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/20</link>
			
			 	<dc:creator>M. Khair Elzarrad, Abu Haroon, Klaus Willecke, Radoslaw Dobrowolski, Mark N Gillespie and Abu-Bakr Al-Mehdi</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:20</dc:source>
			<dc:date>2008-07-22</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-20</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>20</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-22</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/19">
            
            <title>A panel of kallikrein markers can reduce unnecessary biopsy for prostate cancer: data from the European Randomized Study of Prostate Cancer Screening in G&#246;teborg, Sweden</title>
			<description>Background:
Prostate-specific antigen (PSA) is widely used to detect prostate cancer. The low positive predictive value of elevated PSA results in large numbers of unnecessary prostate biopsies. We set out to determine whether a multivariable model including four kallikrein forms (total, free, and intact PSA, and human kallikrein 2 (hK2)) could predict prostate biopsy outcome in previously unscreened men with elevated total PSA.
Methods:
The study cohort comprised 740 men in G&#246;teborg, Sweden, undergoing biopsy during the first round of the European Randomized study of Screening for Prostate Cancer. We calculated the area-under-the-curve (AUC) for predicting prostate cancer at biopsy. AUCs for a model including age and PSA (the 'laboratory' model) and age, PSA and digital rectal exam (the 'clinical' model) were compared with those for models that also included additional kallikreins.
Results:
Addition of free and intact PSA and hK2 improved AUC from 0.68 to 0.83 and from 0.72 to 0.84, for the laboratory and clinical models respectively. Using a 20% risk of prostate cancer as the threshold for biopsy would have reduced the number of biopsies by 424 (57%) and missed only 31 out of 152 low-grade and 3 out of 40 high-grade cancers.
Conclusion:
Multiple kallikrein forms measured in blood can predict the result of biopsy in previously unscreened men with elevated PSA. A multivariable model can determine which men should be advised to undergo biopsy and which might be advised to continue screening, but defer biopsy until there was stronger evidence of malignancy.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/19</link>
			
			 	<dc:creator>Andrew J Vickers, Angel M Cronin, Gunnar Aus, Carl-Gustav Pihl, Charlotte Becker, Kim Pettersson, Peter T Scardino, Jonas Hugosson and Hans Lilja</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:19</dc:source>
			<dc:date>2008-07-08</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-19</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>19</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-08</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/18">
            
            <title>Commentary on strategies for switching antipsychotics</title>
			<description>Both the new generation of antipsychotics and the more traditional antipsychotic drugs produce an important and meaningful improvement in patients with schizophrenia, but most patients are neither cured nor free of symptoms. As a consequence, it is common to switch from one drug to another in the hope of obtaining a better response. All antipsychotic drugs produce some side effects, so switching can also be a tolerance issue. There are reports in the literature on the tactics of switching: abrupt discontinuation, cross tapering, starting a patient on a new drug while continuing with the old drug until the new drug has reached a steady state, or some variation on these tactics. In this issue, Ganguli et al. have carried out a randomized switching study, the data from which indicates the tactics that might be optimal. We put this paper into context, provide a critique and describe indications for switching.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/18</link>
			
			 	<dc:creator>John M Davis and Stefan Leucht</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:18</dc:source>
			<dc:date>2008-06-30</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-18</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>18</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-30</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/17">
            
            <title>Assessment of strategies for switching patients from olanzapine to risperidone: A randomized, open-label, rater-blinded study</title>
			<description>Background:
In clinical practice, physicians often need to change the antipsychotic medications they give to patients because of an inadequate response or the presence of unacceptable or unsafe side effects. However, there is a lack of consensus in the field as to the optimal switching strategy for antipsychotics, especially with regards to the speed at which the dose of the previous antipsychotic should be reduced. This paper assesses the short-term results of strategies for the discontinuation of olanzapine when initiating risperidone.
Methods:
In a 6-week, randomized, open-label, rater-blinded study, patients with schizophrenia or schizoaffective disorder, on a stable drug dose for more than 30 days at entry, who were intolerant of or exhibiting a suboptimal symptom response to more than 30 days of olanzapine treatment, were randomly assigned to the following switch strategies (common risperidone initiation scheme; varying olanzapine discontinuation): (i) abrupt strategy, where olanzapine was discontinued at risperidone initiation; (ii) gradual 1 strategy, where olanzapine was given at 50% entry dose for 1 week after risperidone initiation and then discontinued; or (iii) gradual 2 strategy, where olanzapine was given at 100% entry dose for 1 week, then at 50% in the second week, and then discontinued.
Results:
The study enrolled 123 patients on stable doses of olanzapine. Their mean age was 40.3 years and mean (&#177; standard deviation (SD)) baseline Positive and Negative Syndrome Scale (PANSS) total score of 75.6 &#177; 11.5. All-cause treatment discontinuation was lowest (12%) in the group with the slowest olanzapine dose reduction (gradual 2) and occurred at half the discontinuation rate in the other two groups (25% in abrupt and 28% in gradual 1). The relative risk of early discontinuation was 0.77 (confidence interval 0.61&#8211;0.99) for the slowest dose reduction compared with the other two strategies. After the medication was changed, improvements at endpoint were seen in PANSS total score (-7.3; p &lt; 0.0001) and in PANSS positive (-3.0; p &lt; 0.0001), negative (-0.9; p = 0.171) and anxiety/depression (-1.4; p = 0.0005) subscale scores. Severity of movement disorders and weight changes were minimal.
Conclusion:
When switching patients from olanzapine to risperidone, a gradual reduction in the dose of olanzapine over 2 weeks was associated with higher rates of retention compared with abrupt or less gradual discontinuation. Switching via any strategy was associated with significant improvements in positive and anxiety symptoms and was generally well tolerated.Trial registrationClinicalTrials.gov NCT00378183</description>
			<link>http://www.biomedcentral.com/1741-7015/6/17</link>
			
			 	<dc:creator>Rohan Ganguli, Jaspreet S Brar, Ramy Mahmoud, Sally A Berry and Gahan J Pandina</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:17</dc:source>
			<dc:date>2008-06-30</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-17</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>17</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-30</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/16">
            
            <title>Tracking the spatial diffusion of influenza and norovirus using telehealth data: A spatiotemporal analysis of syndromic data</title>
			<description>Background:
Telehealth systems have a large potential for informing public health authorities in an early stage of outbreaks of communicable disease. Influenza and norovirus are common viruses that cause significant respiratory and gastrointestinal disease worldwide. Data about these viruses are not routinely mapped for surveillance purposes in the UK, so the spatial diffusion of national outbreaks and epidemics is not known as such incidents occur. We aim to describe the geographical origin and diffusion of rises in fever and vomiting calls to a national telehealth system, and consider the usefulness of these findings for influenza and norovirus surveillance.
Methods:
Data about fever calls (5- to 14-year-old age group) and vomiting calls (&#8805; 5-year-old age group) in school-age children, proxies for influenza and norovirus, respectively, were extracted from the NHS Direct national telehealth database for the period June 2005 to May 2006. The SaTScan space-time permutation model was used to retrospectively detect statistically significant clusters of calls on a week-by-week basis. These syndromic results were validated against existing laboratory and clinical surveillance data.
Results:
We identified two distinct periods of elevated fever calls. The first originated in the North-West of England during November 2005 and spread in a south-east direction, the second began in Central England during January 2006 and moved southwards. The timing, geographical location, and age structure of these rises in fever calls were similar to a national influenza B outbreak that occurred during winter 2005&#8211;2006. We also identified significantly elevated levels of vomiting calls in South-East England during winter 2005&#8211;2006.
Conclusion:
Spatiotemporal analyses of telehealth data, specifically fever calls, provided a timely and unique description of the evolution of a national influenza outbreak. In a similar way the tool may be useful for tracking norovirus, although the lack of consistent comparison data makes this more difficult to assess. In interpreting these results, care must be taken to consider other infectious and non-infectious causes of fever and vomiting. The scan statistic should be considered for spatial analyses of telehealth data elsewhere and will be used to initiate prospective geographical surveillance of influenza in England.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/16</link>
			
			 	<dc:creator>Duncan L Cooper, Gillian E Smith, Martyn Regan, Shirley Large and Peter P Groenewegen</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:16</dc:source>
			<dc:date>2008-06-26</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-16</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>16</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-26</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/15">
            
            <title>MicroRNAs: regulators of oncogenesis and stemness</title>
			<description>MicroRNAs (miRNAs) are essential post-transcriptional regulators that determine cell identity and fate. Aberrant expression of miRNAs can lead to diseases, including cancer. Expression of many miRNAs in the de-differentiated brain tumor cancer stem cells resembles that of neural stem cells. In this issue of BMC Medicine, Silber et al provide evidence of the expression of such miRNAs and their potential to mediate differentiation in both stem cell populations. In this commentary, we discuss the known functions of miRNAs in cancer and stem cells, their therapeutic potential and how the findings of Silber et al provide insight into the role of miR-124/miR-137 dysregulation in glioblastomas.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/15</link>
			
			 	<dc:creator>Thales Papagiannakopoulos and Kenneth S Kosik</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:15</dc:source>
			<dc:date>2008-06-24</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-15</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>15</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-24</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/14">
            
            <title>miR-124 and miR-137 inhibit proliferation of glioblastoma multiforme cells and induce differentiation of brain tumor stem cells</title>
			<description>Background:
Glioblastoma multiforme (GBM) is an invariably fatal central nervous system tumor despite treatment with surgery, radiation, and chemotherapy. Further insights into the molecular and cellular mechanisms that drive GBM formation are required to improve patient outcome. MicroRNAs are emerging as important regulators of cellular differentiation and proliferation, and have been implicated in the etiology of a variety of cancers, yet the role of microRNAs in GBM remains poorly understood. In this study, we investigated the role of microRNAs in regulating the differentiation and proliferation of neural stem cells and glioblastoma-multiforme tumor cells.
Methods:
We used quantitative RT-PCR to assess microRNA expression in high-grade astrocytomas and adult mouse neural stem cells. To assess the function of candidate microRNAs in high-grade astrocytomas, we transfected miR mimics to cultured-mouse neural stem cells, -mouse oligodendroglioma-derived stem cells, -human glioblastoma multiforme-derived stem cells and -glioblastoma multiforme cell lines. Cellular differentiation was assessed by immunostaining, and cellular proliferation was determined using fluorescence-activated cell sorting.
Results:
Our studies revealed that expression levels of microRNA-124 and microRNA-137 were significantly decreased in anaplastic astrocytomas (World Health Organization grade III) and glioblastoma multiforme (World Health Organization grade IV) relative to non-neoplastic brain tissue (P &lt; 0.01), and were increased 8- to 20-fold during differentiation of cultured mouse neural stem cells following growth factor withdrawal. Expression of microRNA-137 was increased 3- to 12-fold in glioblastoma multiforme cell lines U87 and U251 following inhibition of DNA methylation with 5-aza-2'-deoxycytidine (5-aza-dC). Transfection of microRNA-124 or microRNA-137 induced morphological changes and marker expressions consistent with neuronal differentiation in mouse neural stem cells, mouse oligodendroglioma-derived stem cells derived from S100&#946;-v-erbB tumors and cluster of differentiation 133+ human glioblastoma multiforme-derived stem cells (SF6969). Transfection of microRNA-124 or microRNA-137 also induced G1 cell cycle arrest in U251 and SF6969 glioblastoma multiforme cells, which was associated with decreased expression of cyclin-dependent kinase 6 and phosphorylated retinoblastoma (pSer 807/811) proteins.
Conclusion:
microRNA-124 and microRNA-137 induce differentiation of adult mouse neural stem cells, mouse oligodendroglioma-derived stem cells and human glioblastoma multiforme-derived stem cells and induce glioblastoma multiforme cell cycle arrest. These results suggest that targeted delivery of microRNA-124 and/or microRNA-137 to glioblastoma multiforme tumor cells may be therapeutically efficacious for the treatment of this disease.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/14</link>
			
			 	<dc:creator>Joachim Silber, Daniel A Lim, Claudia Petritsch, Anders I Persson, Alika K Maunakea, Mamie Yu, Scott R Vandenberg, David G Ginzinger, C David James, Joseph F Costello, Gabriele Bergers, William A Weiss, Arturo Alvarez-Buylla and J Graeme Hodgson</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:14</dc:source>
			<dc:date>2008-06-24</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-14</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>14</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-24</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/13">
            
            <title>Helping editors, peer reviewers and authors improve the clarity, completeness and transparency of reporting health research</title>
			<description>Inadequate reporting is problematic for several reasons. If authors do not provide sufficient details concerning the conduct of their study, readers are left with an incomplete picture of what was done. As such, they are not able to judge the merits of the results and interpret them. The EQUATOR Network is a new initiative aimed at improving the clarity and transparency of reporting health research.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/13</link>
			
			 	<dc:creator>David Moher, Iveta Simera, Kenneth F Schulz, John Hoey and Douglas G Altman</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:13</dc:source>
			<dc:date>2008-06-16</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-13</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>13</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-16</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/12">
            
            <title>Measuring maternal mortality: An overview of opportunities and options for developing countries</title>
			<description>Background:
There is currently an unprecedented expressed need and demand for estimates of maternal mortality in developing countries. This has been stimulated in part by the creation of a Millennium Development Goal that will be judged partly on the basis of reductions in maternal mortality by 2015. 
Methods:
Since the launch of the Safe Motherhood Initiative in 1987, new opportunities for data capture have arisen and new methods have been developed, tested and used. This paper provides a pragmatic overview of these methods and the optimal measurement strategies for different developing country contexts.
Results:
There are significant recent advances in the measurement of maternal mortality, yet also room for further improvement, particularly in assessing the magnitude and direction of biases and their implications for different data uses. Some of the innovations in measurement provide efficient mechanisms for gathering the requisite primary data at a reasonably low cost. No method, however, has zero costs. Investment is needed in measurement strategies for maternal mortality suited to the needs and resources of a country, and which also strengthen the technical capacity to generate and use credible estimates.
Conclusion:
Ownership of information is necessary for it to be acted upon: what you count is what you do. Difficulties with measurement must not be allowed to discourage efforts to reduce maternal mortality. Countries must be encouraged and enabled to count maternal deaths and act.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/12</link>
			
			 	<dc:creator>WJ Graham, S Ahmed, C Stanton, CL Abou-Zahr and OMR Campbell</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:12</dc:source>
			<dc:date>2008-05-26</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-12</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>12</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-05-26</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biomedcentral.com/1741-7015/6/11">
            
            <title>Collagen density promotes mammary tumor initiation and progression</title>
			<description>Background:
Mammographically dense breast tissue is one of the greatest risk factors for developing breast carcinoma. Despite the strong clinical correlation, breast density has not been causally linked to tumorigenesis, largely because no animal model has existed for studying breast tissue density. Importantly, regions of high breast density are associated with increased stromal collagen. Thus, the influence of the extracellular matrix on breast carcinoma development and the underlying molecular mechanisms are not understood.
Methods:
To study the effects of collagen density on mammary tumor formation and progression, we utilized a bi-transgenic tumor model with increased stromal collagen in mouse mammary tissue. Imaging of the tumors and tumor-stromal interface in live tumor tissue was performed with multiphoton laser-scanning microscopy to generate multiphoton excitation and spectrally resolved fluorescent lifetimes of endogenous fluorophores. Second harmonic generation was utilized to image stromal collagen.
Results:
Herein we demonstrate that increased stromal collagen in mouse mammary tissue significantly increases tumor formation approximately three-fold (p &lt; 0.00001) and results in a significantly more invasive phenotype with approximately three times more lung metastasis (p &lt; 0.05). Furthermore, the increased invasive phenotype of tumor cells that arose within collagen-dense mammary tissues remains after tumor explants are cultured within reconstituted three-dimensional collagen gels. To better understand this behavior we imaged live tumors using nonlinear optical imaging approaches to demonstrate that local invasion is facilitated by stromal collagen re-organization and that this behavior is significantly increased in collagen-dense tissues. In addition, using multiphoton fluorescence and spectral lifetime imaging we identify a metabolic signature for flavin adenine dinucleotide, with increased fluorescent intensity and lifetime, in invading metastatic cells.
Conclusion:
This study provides the first data causally linking increased stromal collagen to mammary tumor formation and metastasis, and demonstrates that fundamental differences arise and persist in epithelial tumor cells that progressed within collagen-dense microenvironments. Furthermore, the imaging techniques and signature identified in this work may provide useful diagnostic tools to rapidly assess fresh tissue biopsies.</description>
			<link>http://www.biomedcentral.com/1741-7015/6/11</link>
			
			 	<dc:creator>Paolo P Provenzano, David R Inman, Kevin W Eliceiri, Justin G Knittel, Long Yan, Curtis T Rueden, John G White and Patricia J Keely</dc:creator>
			
			<dc:source>BMC Medicine 2008, 6:11</dc:source>
			<dc:date>2008-04-28</dc:date>
			<dc:identifier>doi:10.1186/1741-7015-6-11</dc:identifier>
			
			
							
					<prism:publicationName>BMC Medicine</prism:publicationName>
					
			
							
					<prism:issn>1741-7015</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>11</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-04-28</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
		
    <cc:License rdf:about="http://creativecommons.org/licenses/by/2.0/">
         <cc:permits rdf:resource="http://creativecommons.org/ns#Reproduction"/>
         <cc:permits rdf:resource="http://creativecommons.org/ns#Distribution"/>
         <cc:permits rdf:resource="http://creativecommons.org/ns#DerivativeWorks"/>
	</cc:License>
</rdf:RDF>
