Literature DB >> 16519556

Problems in pathologic staging of lung cancer.

Alberto M Marchevsky1.   

Abstract

CONTEXT: Tumor stage is the most important prognostic and predictive factor for patients with lung cancer, the most lethal neoplasm in the United States. It is used by thoracic surgeons, radiation therapists, and oncologists to determine whether patients with these neoplasms will be treated surgically with curative intent or with palliative radiation therapy and/or chemotherapy.
OBJECTIVE: To review the variety of practical problems that can arise during the assessment of the pathologic stage and other prognostic/predictive factors included in the College of American Pathologist checklist for evaluation of resected lung neoplasms. DATA SOURCES: Potential practical difficulties that can arise during the pathologic staging of lung cancer patients include the distinction between pT1, pT2, and pT3 lesions based on their location and the presence of visceral pleura and/or parietal pleura invasion; the differential diagnosis between multiple synchronous or metachronous primary lung neoplasms (pT1m) and intrapulmonary metastasis of non-small cell carcinoma of the lung (pT4 or pM1 according to their location); and the role of the recent American Joint Committee on Cancer terminology for the classification of lymph nodes (isolated tumor cells, micrometastases, and metastases).
CONCLUSIONS: The variety of practical problems that can arise during the assessment of important prognostic and predictive features such as resection margin status and evaluation of lymphovascular invasion are reviewed. A brief discussion of the assessment of the effects of neoadjuvant therapy on resected lung neoplasms is also included.

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Mesh:

Year:  2006        PMID: 16519556     DOI: 10.5858/2006-130-292-PIPSOL

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  2 in total

1.  Trends in prevalence of prognostic factors and survival in lung cancer patients from 1985 to 2004 at a tertiary care center.

Authors:  Sumesh Kachroo; L Tong; Margaret R Spitz; Yun Xing; Kelly Merriman; Dakai K Zhu; John Fueger; Christopher I Amos; Carol J Etzel
Journal:  Cancer Detect Prev       Date:  2008-07-17

2.  Large-scale gene expression analysis reveals robust gene signatures for prognosis prediction in lung adenocarcinoma.

Authors:  Yiyan Songyang; Wei Zhu; Cong Liu; Lin-Lin Li; Wei Hu; Qun Zhou; Han Zhang; Wen Li; Dejia Li
Journal:  PeerJ       Date:  2019-06-03       Impact factor: 2.984

  2 in total

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