癌症研究档案

  • 国际标准期刊号: 2254-6081
  • 期刊 h 指数: 13
  • 期刊引用分数: 3.58
  • 期刊影响因子: 3.12
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  • OCLC-WorldCat
  • 普布隆斯
  • 日内瓦医学教育与研究基金会
  • 谷歌学术
  • 秘密搜索引擎实验室
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抽象的

Proteomic analysis in sarcomas – current standing and future opportunities

Germaine Wong

Sarcomas are rare cluster of mesenchymal cancers comprising over seventy completely different histologic subtypes. For the bulk of those diseases, the molecular understanding of the premise of their initiation and progression remains unclear. As such, restricted clinical progress in prognosis or therapeutic regimens is revamped the past few decades. Genetic science techniques are being more and more used within the field of malignant neoplastic disease analysis, Proteomic analysis efforts have to this point targeted on histologic subtype characterisation for the advance of biological understanding, yet as for the identification of candidate diagnostic, predictive, and prognostic biomarkers to be used in clinic. However, the sector itself is in its infancy, and none of those proteomic analysis findings are translated into the clinic. During this review, we offer a quick summary of the proteomic methods that are utilized in malignant neoplastic disease analysis. We tend to assess key proteomic studies regarding many rare and ultra-rare malignant neoplastic disease subtypes as well as, duct stromal tumours, sarcoma, sarcoma, sarcoma, malignant rhomboid tumours, Ewing malignant neoplastic disease, myxofibrosarcomas, and alveolar soft half malignant neoplastic disease. Consequently, we tend to illustrate however routine implementation of genetic science inside malignant neoplastic disease analysis, integration of genetic science with alternative molecular identification information, and incorporation of genetic science into clinical test studies has the potential to propel the biological and clinical understanding of this cluster of advanced rare cancers moving forward.

Keywords

Lung cancer; tumor; Sarcoma; Carcinoma research

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