4ccf9d4be52465e5be019549cb9db68f 272118.pdf a7d7bae68e057bdfc839f1ae8e41530b3fdd069c 272118.pdf 9f1edd74e0516f8dde732e59f71ea9990a2bd449f911c8ff40daa5852a1f9a1a 272118.pdf Title: A Growth Modulation Index-Based GEISTRA Score as a New Prognostic Tool for Trabectedin Efficacy in Patients with Advanced Soft Tissue Sarcomas: A Spanish Group for Sarcoma Research (GEIS) Retrospective Study Subject: The aim of this study was to identify an easily reliable prognostic score that selects the subset of advanced soft tissue sarcoma (ASTS) patients with a higher benefit with trabectedin in terms of time to progression and overall survival. A retrospective series of 357 patients with ASTS treated with trabectedin as second- or further-line in 19 centers across Spain was analyzed. First, it was confirmed that patients with high growth modulation index (GMI > 1.33) were associated with the better clinical outcome. Univariate and multivariate analyses were performed to identify factors associated with a GMI > 1.33. Thus, GEISTRA score was based on metastasis free-interval (MFI 9.7 months), Karnofsky < 80%, Non L-sarcomas and better response in the previous systemic line. The median GMI was 0.82 (0–69), with 198 patients (55%) with a GMI < 1, 41 (11.5%) with a GMI 1–1.33 and 118 (33.1%) with a GMI > 1.33. The lowest GEISTRA score showed a median of time-to-progression (TTP) and overall survival (OS) of 5.7 and 19.5 months, respectively, whereas it was 1.8 and 3.1 months for TTP and OS, respectively, for the GEISTRA 4 score. This prognostic tool can contribute to better selecting candidates for trabectedin treatment in ASTS. Keywords: trabectedin; sarcoma; growth modulation index; prognostic score; L-sarcoma; GEISTRA Author: Javier Martínez-Trufero, Luis Miguel De Sande-González, Pablo Luna, Javier Martin-Broto, Rosa Álvarez, Gloria Marquina, Roberto Diaz-Beveridge, Andrés Poveda, Juana María Cano, Josefina Cruz-Jurado, Antonio López Pousa, María Angeles Vaz Salgado, Claudia M. Valverde-Morales, Isabel Sevilla, Jerónimo Martínez-García, Jordi Rubio-Casadevall, Ana De Juan, Juan Antonio Carrasco, David S Moura, Ibon Gurruchaga-Sotes and Antonio Gutiérrez Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Thu Feb 18 03:50:44 2021 CET ModDate: Thu Feb 18 03:59:14 2021 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 15 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 964836 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- XAWNGI+VnURWPalladioL Type 1 Custom yes yes no 10 0 EZALBI+URWPalladioL-Ital Type 1 Custom yes yes no 15 0 YCIVHO+URWPalladioL-Bold Type 1 Custom yes yes no 20 0 HNUXUY+URWPalladioL-Roma Type 1 Custom yes yes no 24 0 FFAYKL+VnURWPalladioL-Bold Type 1 Custom yes yes no 28 0 LCJEVJ+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 37 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 59 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 63 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 67 0 IKKWKP+CMSY10 Type 1 Builtin yes yes no 79 0 QLBIEB+URWPalladioL-BoldItal Type 1 Custom yes yes no 92 0 CJGKLH+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 115 0 CJGKLJ+PalatinoLinotype TrueType WinAnsi yes yes no 118 0 CJGKLL+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 121 0 CJGOAK+PalatinoLinotype,BoldItalic TrueType WinAnsi yes yes no 124 0 CJGKLH+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 141 0 CJGKLJ+PalatinoLinotype TrueType WinAnsi yes yes no 144 0 CJGKLL+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 147 0 CJGOAK+PalatinoLinotype,BoldItalic TrueType WinAnsi yes yes no 150 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-03-21 02:34:36 CET RepresentationInformation: 272118.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-03-20 16:42:43 CET Size: 964836 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 322 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: Materials and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Children: Item: Title: Database and Objectives Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: Patients and Treatments Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: GEISTRA Score Design Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Statistical Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Children: Item: Title: Characteristics of Patients and Treatments Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Item: Title: Response to Treatment and Survival Analysis Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: GEISTRA Score Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1e7c7811 Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77ec78b9 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1a3869f4 Info: Title: A Growth Modulation Index-Based GEISTRA Score as a New Prognostic Tool for Trabectedin Efficacy in Patients with Advanced Soft Tissue Sarcomas: A Spanish Group for Sarcoma Research (GEIS) Retrospective Study Author: Javier Martínez-Trufero, Luis Miguel De Sande-González, Pablo Luna, Javier Martin-Broto, Rosa Álvarez, Gloria Marquina, Roberto Diaz-Beveridge, Andrés Poveda, Juana María Cano, Josefina Cruz-Jurado, Antonio López Pousa, María Angeles Vaz Salgado, Claudia M. Valverde-Morales, Isabel Sevilla, Jerónimo Martínez-García, Jordi Rubio-Casadevall, Ana De Juan, Juan Antonio Carrasco, David S Moura, Ibon Gurruchaga-Sotes and Antonio Gutiérrez Subject: The aim of this study was to identify an easily reliable prognostic score that selects the subset of advanced soft tissue sarcoma (ASTS) patients with a higher benefit with trabectedin in terms of time to progression and overall survival. A retrospective series of 357 patients with ASTS treated with trabectedin as second- or further-line in 19 centers across Spain was analyzed. First, it was confirmed that patients with high growth modulation index (GMI > 1.33) were associated with the better clinical outcome. Univariate and multivariate analyses were performed to identify factors associated with a GMI > 1.33. Thus, GEISTRA score was based on metastasis free-interval (MFI 9.7 months), Karnofsky < 80%, Non L-sarcomas and better response in the previous systemic line. The median GMI was 0.82 (0 69), with 198 patients (55%) with a GMI < 1, 41 (11.5%) with a GMI 1 1.33 and 118 (33.1%) with a GMI > 1.33. The lowest GEISTRA score showed a median of time-to-progression (TTP) and overall survival (OS) of 5.7 and 19.5 months, respectively, whereas it was 1.8 and 3.1 months for TTP and OS, respectively, for the GEISTRA 4 score. This prognostic tool can contribute to better selecting candidates for trabectedin treatment in ASTS. Keywords: trabectedin; sarcoma; growth modulation index; prognostic score; L-sarcoma; GEISTRA Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Thu Feb 18 03:50:44 CET 2021 ModDate: Thu Feb 18 03:59:14 CET 2021 ID: 0xcb458198d079a32ab454bd46caf6b540, 0xcb458198d079a32ab454bd46caf6b540 Filters: FilterPipeline: FlateDecode Fonts: Type1: Font: BaseFont: YCIVHO+URWPalladioL-Bold FontSubset: true FirstChar: 2 LastChar: 150 FontDescriptor: FontName: YCIVHO+URWPalladioL-Bold Flags: Symbolic FontBBox: -152, -301, 1000, 935 FontFile: true EncodingDictionary: Differences: true Font: BaseFont: HNUXUY+URWPalladioL-Roma FontSubset: true FirstChar: 2 LastChar: 246 FontDescriptor: FontName: HNUXUY+URWPalladioL-Roma Flags: Symbolic FontBBox: -166, -283, 1021, 943 FontFile: true EncodingDictionary: Differences: true Font: BaseFont: XAWNGI+VnURWPalladioL FontSubset: true FirstChar: 129 LastChar: 226 FontDescriptor: FontName: XAWNGI+VnURWPalladioL Flags: Symbolic FontBBox: -166, -283, 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