4f92f5c64ccf3488e51f74369ddf1452 pmc_33224883.pdf dc7fbd096df6c3fd4a276d00d775b36d6b0f76ba pmc_33224883.pdf 70fd32d934147995ee37e0f8827abddeb574b633ad19e9c47fa883e98b40d78b pmc_33224883.pdf Title: Five microRNAs in Serum Are Able to Differentiate Breast Cancer Patients From Healthy Individuals Subject: Breast cancer is the cancer with the most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. Keywords: breast cancer, serum, microRNAs, prognosis, diagnosis Author: Matilde E. LLeonart Creator: LaTeX with hyperref package + hypdvips Producer: dvips + MiKTeX GPL Ghostscript 9.0 CreationDate: Tue Nov 3 10:54:22 2020 CET ModDate: Tue Nov 3 11:29:58 2020 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 10 Encrypted: no Page size: 595.26 x 779.52 pts Page rot: 0 File size: 1895040 bytes Optimized: no PDF version: 1.6 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- XCYHIG+HelveticaNeueLTStd-Bd Type 1C WinAnsi yes yes no 33 0 AARKYE+HelveticaNeueLTStd-Lt Type 1C Custom yes yes no 38 0 PIAOFJ+HelveticaNeueLTStd-BdIt Type 1C WinAnsi yes yes no 51 0 TMTCQR+HelveticaNeueLTStd-LtIt Type 1C Custom yes yes no 53 0 FWGTEH+HelveticaNeueLTStd-MdIt Type 1C WinAnsi yes yes no 58 0 XUCTVF+MinionPro-Regular Type 1C Custom yes yes no 60 0 DFDDUW+MinionPro-It Type 1C Custom yes yes no 75 0 SMGAWP+MinionPro-Bold Type 1C Custom yes yes no 80 0 IIMDKY+MTSY Type 1C Custom yes yes yes 82 0 OBAZBH+RMTMI Type 1C WinAnsi yes yes no 84 0 IOLGNI+MTGU Type 1C Custom yes yes no 87 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2022-07-07 02:26:46 CEST RepresentationInformation: pmc_33224883.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2020-11-30 03:46:29 CET Size: 1895040 Format: PDF Version: 1.6 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 309 FreeObjects: 15 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: true CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: en Outlines: Item: Title: Five microRNAs in Serum Are Able to Differentiate Breast Cancer Patients From Healthy Individuals Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@76a3e297 Children: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4d3167f4 Item: Title: Materials and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@ed9d034 Children: Item: Title: Patients and Controls Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6121c9d6 Item: Title: Sample Collection Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@87f383f Item: Title: qRT-PCR Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4eb7f003 Item: Title: Proteomic Study Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@eafc191 Item: Title: Statistical Analysis Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@612fc6eb Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1060b431 Children: Item: Title: Tumor-Associated microRNAs in Breast Cancer Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@612679d6 Item: Title: Pathological and Clinic Characteristics of the Tumors Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@11758f2a Item: Title: Construction of a Predictor Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@e720b71 Item: Title: Proteomic Study Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1b26f7b2 Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@491cc5c9 Item: Title: Data Availability Statement Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@74ad1f1f Item: Title: Ethics Statement Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6a1aab78 Item: Title: Author Contributions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@462d5aee Item: Title: Funding Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@69b0fd6f Item: Title: Acknowledgments Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@757942a1 Item: Title: Supplementary Material Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4a87761d Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@66d1af89 Info: Title: Five microRNAs in Serum Are Able to Differentiate Breast Cancer Patients From Healthy Individuals Author: Matilde E. LLeonart Subject: Breast cancer is the cancer with the most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. Keywords: breast cancer, serum, microRNAs, prognosis, diagnosis Creator: LaTeX with hyperref package + hypdvips Producer: dvips + MiKTeX GPL Ghostscript 9.0 CreationDate: Tue Nov 03 11:24:22 CET 2020 ModDate: Tue Nov 03 11:59:58 CET 2020 ID: 0x0a86eecf4d986240ed4982d064e5cb92, 0xdc144da57fea2d4c942ccabb07f3c154 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/png ImageWidth: 279 ImageHeight: 279 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 2007 ImageHeight: 1491 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Interpolate: true Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 2008 ImageHeight: 1570 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Interpolate: true Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 2028 ImageHeight: 1531 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Interpolate: true Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 2027 ImageHeight: 1511 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Interpolate: true Fonts: Type1: Font: BaseFont: SMGAWP+MinionPro-Bold FontSubset: true FirstChar: 3 LastChar: 121 FontDescriptor: FontName: SMGAWP+MinionPro-Bold Flags: Symbolic FontBBox: -8, -245, 823, 703 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true Font: BaseFont: XCYHIG+HelveticaNeueLTStd-Bd FontSubset: true FirstChar: 40 LastChar: 124 FontDescriptor: FontName: XCYHIG+HelveticaNeueLTStd-Bd Flags: Nonsymbolic FontBBox: -9, -214, 848, 786 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: IIMDKY+MTSY FontSubset: true FirstChar: 0 LastChar: 24 FontDescriptor: FontName: IIMDKY+MTSY Flags: Symbolic FontBBox: 0, -209, 944, 679 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: PIAOFJ+HelveticaNeueLTStd-BdIt FontSubset: true FirstChar: 42 LastChar: 121 FontDescriptor: FontName: PIAOFJ+HelveticaNeueLTStd-BdIt Flags: Nonsymbolic FontBBox: -63, -182, 717, 731 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: OBAZBH+RMTMI FontSubset: true FirstChar: 60 LastChar: 62 FontDescriptor: FontName: OBAZBH+RMTMI Flags: Nonsymbolic, AllCap FontBBox: 0, 0, 683, 455 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: TMTCQR+HelveticaNeueLTStd-LtIt FontSubset: true FirstChar: 39 LastChar: 243 FontDescriptor: FontName: TMTCQR+HelveticaNeueLTStd-LtIt Flags: Symbolic FontBBox: -137, -206, 858, 729 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true Font: BaseFont: AARKYE+HelveticaNeueLTStd-Lt FontSubset: true FirstChar: 0 LastChar: 150 FontDescriptor: FontName: AARKYE+HelveticaNeueLTStd-Lt Flags: Serif, Symbolic FontBBox: -13, -214, 904, 786 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true Font: BaseFont: IOLGNI+MTGU FontSubset: true FirstChar: 97 LastChar: 109 FontDescriptor: FontName: IOLGNI+MTGU Flags: Symbolic FontBBox: 0, -188, 607, 460 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true Font: BaseFont: FWGTEH+HelveticaNeueLTStd-MdIt FontSubset: true FirstChar: 42 LastChar: 243 FontDescriptor: FontName: FWGTEH+HelveticaNeueLTStd-MdIt Flags: Symbolic FontBBox: -133, -205, 891, 731 FontFile3: true Encoding: WinAnsiEncoding Font: BaseFont: DFDDUW+MinionPro-It FontSubset: true FirstChar: 2 LastChar: 243 FontDescriptor: FontName: DFDDUW+MinionPro-It Flags: Symbolic FontBBox: -142, -257, 903, 712 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true Font: BaseFont: XUCTVF+MinionPro-Regular FontSubset: true FirstChar: 2 LastChar: 233 FontDescriptor: FontName: XUCTVF+MinionPro-Regular Flags: Symbolic FontBBox: -26, -257, 956, 713 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true XMP: 2020-11-03T15:24:22+05:30 LaTeX with hyperref package + hypdvips 2020-11-03T15:59:58+05:30 2020-11-03T15:59:58+05:30 application/pdf Breast cancer is the cancer with the most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. Matilde E. 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