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分子標的癌治療市場の予測

Molecular Targeted Cancer Therapies Market Forecast

発行 Datamonitor
出版日 2009年08月 商品コード 99559
ページ情報 英文  
価格
US$ 15,200 換算 ¥ 1,226,488 (税抜) Excel file by E-mail (Single User License)
US$ 38,000 換算 ¥ 3,066,220 (税抜) Excel file by E-mail (Global Site License)


原文目次

Abstract

Introduction

Molecular targeted cancer therapies are the biggest and fastest growing class of cancer drugs in terms of sales. As growth of revenues from cytotoxic therapies and antihormonal therapies has slowed and many key brands in these classes face imminent patent expiries, it is unsurprising that the major oncology companies have shifted their focus towards the molecular targeted cancer therapies market.

Key reasons to purchase this research

  • Quantify the performance of each of the marketed molecular targeted cancer therapies in the seven major markets over the period 2008 to 2018
  • Assess the changing key opportunities and threats both for currently marketed and pipeline targeted therapy cancer brands
  • Identify the leading brands in this market over the next 10 years and understand the key factors driving their success

Table of Contents

OVERVIEW

  • This product contains forecasts for the molecular targeted cancer therapies across the seven major markets from 2008 to 2018. It has been designed for delivery in an excel data pack format, but for more detail about this disease area please see the accompanying Commercial Insight: Molecular Targeted Cancer Therapies (DMHC2535) word document and PowerPoint executive presentation.
    • The associated report and PowerPoint presentation can be found under Latest research in the Knowledge centre, through the search function or by contacting your sales representative.
    • Please select the data pack option from the download menu at the side of the page to access the model.
    • Introduction
    • Research and analysis highlights
    • Key reasons to read this report
  • Forecasting Methodology
    • The forecasting model:
    • General event information:
    • Event selection and quantification:
    • Event parameters:
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