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% Document Info
\author{ACD Marketing Team (ACD Marketing)}
\pdfinfo{
  /Title (breast-cancer-sheet-cheat.pdf)
  /Creator (Cheatography)
  /Author (ACD Marketing Team (ACD Marketing))
  /Subject (Breast Cancer Sheet Cheat Cheat Sheet)
}

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\noindent
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    {\parbox{\dimexpr\textwidth-2\fboxsep\relax}{\noindent
        \hspace*{-6pt}\includegraphics[width=5.8cm]{/web/www.cheatography.com/public/images/cheatography_logo.pdf}}
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\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{Breast Cancer Sheet Cheat Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{ACD Marketing Team (ACD Marketing)} via \textcolor{DarkBackground}{\uline{cheatography.com/36805/cs/11888/}}}
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  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}ACD Marketing Team (ACD Marketing) \\
  \uline{cheatography.com/acd-marketing} \\
        \uline{\seqsplit{www}.acdbio.com}
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Not Yet Published.\\
   Updated 23rd May, 2017.\\
   Page {\thepage} of \pageref{LastPage}.
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Sponsor}}  \\
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  \vspace{-5pt}
  %\includegraphics[width=48px,height=48px]{dave.jpeg}
  Measure your website readability!\\
  www.readability-score.com
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\end{multicols}}




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% www.emerson.emory.edu/services/latex/latex_169.html
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\begin{multicols*}{2}

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\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{One Minute Pitch}}  \tn
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\mymulticolumn{1}{x{8.4cm}}{Breast cancer is a complex disease with great clinical and molecular heterogeneity that requires accurate assessment of known breast cancer biomarkers, such as HER2, estrogen receptor (ER), and progesterone receptor (PgR), as well as the discovery of emerging potential targets, for the precise treatment of breast tumors. The RNAscope® in situ hybridization assay offers a very reliable and robust method for the detection and validation of breast cancer-related markers within the tissue environment and can be performed on routinely available FFPE samples.% Row Count 12 (+ 12)
} \tn 
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\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Applications}}  \tn
% Row 0
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\mymulticolumn{1}{x{8.4cm}}{Resolution of equivocal and heterogeneous cases of HER2 expression} \tn 
% Row Count 2 (+ 2)
% Row 1
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\mymulticolumn{1}{x{8.4cm}}{Validation of transcriptome data} \tn 
% Row Count 3 (+ 1)
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\mymulticolumn{1}{x{8.4cm}}{Sub-cellular localization of RNA in breast cancer} \tn 
% Row Count 4 (+ 1)
% Row 3
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\mymulticolumn{1}{x{8.4cm}}{Detection of lncRNAs in breast cancer} \tn 
% Row Count 5 (+ 1)
% Row 4
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\mymulticolumn{1}{x{8.4cm}}{Preclinical drug efficacy for breast cancer treatment} \tn 
% Row Count 7 (+ 2)
% Row 5
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\mymulticolumn{1}{x{8.4cm}}{Assessment of potential prognostic markers for breast cancer} \tn 
% Row Count 9 (+ 2)
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\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Known Breast Cancer Biomarkers}}  \tn
% Row 0
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\mymulticolumn{1}{x{8.4cm}}{HER2 (ERBB2)} \tn 
% Row Count 1 (+ 1)
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\mymulticolumn{1}{x{8.4cm}}{Estrogen receptor (ESR1)} \tn 
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\mymulticolumn{1}{x{8.4cm}}{Progesterone receptor (PGR)} \tn 
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\mymulticolumn{1}{x{8.4cm}}{Triple negative breast cancer (TNBC): Negative for HER2, ER, and PR} \tn 
% Row Count 5 (+ 2)
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\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Breast Cancer Subtypes}}  \tn
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\mymulticolumn{1}{p{8.4cm}}{\vspace{1px}\centerline{\includegraphics[width=5.1cm]{/web/www.cheatography.com/public/uploads/acd-marketing_1495537003_Breast Cancer subtypes.png}}} \tn 
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\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Marketing Materials}}  \tn
% Row 0
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\mymulticolumn{1}{x{8.4cm}}{{\bf{Breast Caner related publications:}} http://bit.ly/2q3dcKc} \tn 
% Row Count 2 (+ 2)
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\begin{tabularx}{8.4cm}{X}
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\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Examples of RNAscope in Breast Cancer Research}}  \tn
% Row 0
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\mymulticolumn{1}{x{8.4cm}}{{\bf{Resolution of equivocal and heterogeneous cases of HER2 expression:}} Standard HER2 testing methods are often hampered by equivocal testing and intratumoral heterogeneity. Wang et al. developed a fully automated, quantitative ISH assay using the RNAscope® technology to quantify single-cell HER2 mRNA levels. http://bit.ly/2qGSIWG} \tn 
% Row Count 7 (+ 7)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{{\bf{Patient-stratification for treatment regimens:}} Vassilakopoulou et al. used the RNAscope® assay to assess HER2 mRNA as a predictor of benefit from trastuzumab-based chemotherapy and to correlate it to HER2 protein and gene levels. http://bit.ly/2rtsyHZ} \tn 
% Row Count 13 (+ 6)
% Row 2
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{{\bf{Validation of transcriptome data and sub-cellular localization of lncRNA in breast cancer:}} In their study Lin et al. selected lncRNA LINK-A as it shows frequently elevated expression in TNBC patients. RNAscope® ISH confirmed the array results, showing that expression of LINK-A was significantly increased in TNBC tissues. http://bit.ly/2qMojGT} \tn 
% Row Count 20 (+ 7)
% Row 3
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{{\bf{Preclinical drug efficacy for breast cancer treatment:}} FGFR2 gene amplification is found in 4\% of triple-negative breast cancers (TNBC). In their study, Sommer et al. demonstrate the preclinical efficacy of BAY1187982, a novel FGFR2-antibody drug conjugate (ADC). http://bit.ly/2rtlStB} \tn 
% Row Count 26 (+ 6)
% Row 4
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\mymulticolumn{1}{x{8.4cm}}{{\bf{Assessment of HOTAIR as a prognostic breast cancer biomarker for breast cancer:}} High expression of the large intergenic non-coding RNA (lincRNA) HOTAIR has been shown to be a significant predictor of poor prognosis and metastasis in breast carcinomas. G{\"o}kmen-Polar et al. showed that the prognostic role of HOTAIR is restricted to ER-/lymph node+ tumors, where its expression could be used as a potential prognostic marker. http://bit.ly/2rKKHxs} \tn 
% Row Count 35 (+ 9)
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\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Related Breast Cancer Probes}}  \tn
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\mymulticolumn{1}{x{8.4cm}}{\seqsplit{ABCB1	ABCG2	ADAM23	AKT1	APC	AR	ATM	BAD	BCL2	BIRC5	BRCA1	BRCA2	CCNA1	CCND1	CCND2	CCNE1	CDH1	CDH13	CDK2	CDKN1A	CDKN1C	CDKN2A	CSF1	CST6	CTNNB1} \seqsplit{CTSD	EGF	EGFR	ERBB2	ESR1	ESR2	FOXA1	GATA3	GLI1	GRB7	GSTP1	HIC1	ID1	IGF1	IGF1R	IGFBP3	IL6	JUN	KRT18	KRT19	KRT5	KRT8	MAPK1	MAPK3}    \seqsplit{MAPK8	MGMT	MKI67	MLH1	MMP2	MMP9	MUC1	MYC	NME1	NOTCH1	NR3C1	PGR	PLAU	PRDM2	PTEN	PTGS2	PYCARD	RARB	RASSF1	RB1	SERPINE1	SFN	SFRP1}   \seqsplit{SLC39A6	SLIT2	SNAI2	SRC	TFF3	TGFB1	THBS1	TP53	TP73	TWIST1	VEGFA	XBP1}% Row Count 10 (+ 10)
} \tn 
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% That's all folks
\end{multicols*}

\end{document}