用英文介绍肿瘤病理 用英文介绍肿瘤病理特点

肿瘤治疗 2025-08-07 11:04肿瘤治疗www.zhongliuw.cn

Introduction to Tumor Pathology

Tumor pathology is a specialized branch of pathology that focuses on the study of neoplasms (abnormal tissue growths) to determine their nature, behavior, and clinical implications. It plays a crucial role in cancer diagnosis, prognosis, and treatment planning.

Key Characteristics of Tumor Pathology

1. Benign vs. Malignant Tumors

  • Benign tumors grow slowly, remain localized, and do not invade surrounding tissues or metastasize. They typically have well-defined borders and resemble normal tissue (e.g., lipomas, fibromas).
  • Malignant tumors (cancers) grow aggressively, invade nearby tissues, and can spread (metastasize) to distant organs. They exhibit cellular atypia, high mitotic activity, and loss of normal tissue architecture.
  • 2. Histological Features

  • Differentiation: Refers to how closely tumor cells resemble normal tissue. Well-differentiated tumors look similar to normal cells, while poorly differentiated or anaplastic tumors show marked abnormalities.
  • Nuclear changes: Malignant cells often have enlarged, irregular nuclei with prominent nucleoli and hyperchromasia (dark staining).
  • Mitotic activity: High mitotic rates indicate rapid cell division, a hallmark of malignancy.
  • 3. Tumor Grading & Staging

  • Grading (e.g., Grade I to IV) assesses cellular differentiation and aggressiveness.
  • Staging (e.g., TNM systemTumor size, Node involvement, Metastasis) determines disease extent and guides treatment.
  • 4. Molecular & Genetic Alterations

  • Many tumors have specific genetic mutations (e.g., TP53, BRCA1/2, EGFR) that drive oncogenesis.
  • Immunohistochemistry (IHC) and molecular tests (e.g., PCR, NGS) help identify biomarkers for targeted therapies.
  • 5. Tumor Microenvironment

  • Includes stromal cells, immune cells, and blood vessels that influence tumor growth, invasion, and response to therapy.
  • Conclusion

    Tumor pathology integrates morphological, molecular, and clinical data to classify tumors accurately. Advances in techniques (e.g., digital pathology, liquid biopsy) continue to refine cancer diagnostics and personalized medicine.

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