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Cancer. Introduction

C Percy1, J L Young, C Muir

  • 1Cancer Statistics Branch, Division of Cancer Prevention and Control, National Cancer Institute, Bethesda, Maryland 20892-7352.

Cancer
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

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This study analyzes over one million invasive and 98,000 in situ cancer cases from the Surveillance, Epidemiology, and End Results (SEER) Program. It details cancer histologic types and coding using the International Classification of Diseases for Oncology.

Area of Science:

  • Oncology
  • Epidemiology
  • Cancer Research

Background:

  • The Surveillance, Epidemiology, and End Results (SEER) Program collects cancer data in the United States.
  • Accurate classification of cancer's histologic type is crucial for epidemiological studies and treatment.
  • Standardized coding systems are essential for comparing cancer data across different populations and time periods.

Purpose of the Study:

  • To present a comprehensive study of various histologic types of cancers diagnosed within SEER Program populations.
  • To describe the SEER program's methodology and the coding of histologic types using the International Classification of Diseases for Oncology (ICD-O).
  • To analyze cancer data based on Dr. John Berg's grouping of histologic types.

Main Methods:

  • Utilized data from the Surveillance, Epidemiology, and End Results (SEER) Program, covering the period 1973-1987.

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  • Included over one million microscopically proven invasive cancers and 98,000 in situ cancers.
  • Employed the International Classification of Diseases for Oncology (ICD-O) for coding histologic types.

    • Main Results:

    • The supplement comprises 19 articles, each focusing on specific major cancer sites or distinct histologic types like lymphomas and melanomas.
    • Data is categorized based on Dr. John Berg's established classification of histologic types.
    • Presents detailed findings on the distribution and characteristics of various cancer histologic types within the SEER populations.

    Conclusions:

    • This supplement provides a valuable resource for understanding the epidemiology of diverse cancer histologic types.
    • The standardized approach using SEER data and ICD-O coding facilitates robust cancer surveillance and research.
    • The findings contribute to a deeper knowledge of cancer pathology and incidence across different populations.