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[Cancer Research 55, 51-56, January 1, 1995]
© 1995 American Association for Cancer Research

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A Prognostic Model of Recurrence and Death in Stage I Non-Small Cell Lung Cancer Utilizing Presentation, Histopathology, and Oncoprotein Expression1

David H. Harpole, Jr.2, James E. Herndon, II, Walter G. Wolfe, J. Dirk Iglehart and Jeffrey R. Marks

Lung Cancer Research Laboratory, Division of Thoracic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115 [D. H. H.]; and Division of Biometry and Medical Informatics [J. E. H.], Department of Surgery [W. G. W.], and Surgical Oncology Research Laboratory, Duke Comprehensive Cancer Center [J. D. I., J. R. M.], Duke University Medical Center, Durham, North Carolina 27710

In order to construct a multivariate model for predicting early recurrence and cancer death for patients with stage I non-small cell lung cancer, 271 consecutive patients (mean age, 63 ± 8 years) who were diagnosed, treated, and followed at one institution were studied. All patients were clinical stage I with head and chest/abdominal computed tomograms and radionuclide bone scans without evidence of metastatic disease. Pathological material after resection was reviewed to verify histological staging. Follow-up documented the time and location of any recurrence, was a median 56 months in duration, and was complete in all cases.

Data recorded included age, sex, smoking history, presenting symptoms, pathological description, and oncoprotein staining for erbB-2 (HER-2/neu), p53, and KI-67 proliferation protein. Immunohistochemistry of oncogene expression was performed on two separate archived paraffin tumor blocks for each patient, with normal lung as control. All analyses were blinded and included Kaplan-Meier survival estimates with Cox proportional hazards regression modeling.

Data, including immunohistochemistry, were complete for all 271 patients. Actual 5-year survival was 63% and actuarial 10-year survival was 58%. Significant univariate predictors (P < 0.05) of early recurrence and cancer-death were: male sex; the presence of symptoms; chest pain; type of cough; hemoptysis; tumor size > 3 cm diameter (T2); poor differentiation; vascular invasion; erbB-2 expression; p53 expression; and a higher KI-67 proliferation index (>5%). An additive oncogene expression curve demonstrated a 5-year survival of 72% for 136 patients without p53 or erbB-2, 58% for 108 patients who expressed either oncogene, and 38% for 27 who expressed both (P <0.001). Multivariate independent predictors of early recurrence and cancer death (P < 0.05) were symptomatic presentation, erbB-2 expression, T2 size, vascular invasion, p53 expression, and poor differentiation.

These data allowed the creation of a multivariate model which quantified the risk of recurrence and cancer death for patients with stage I non-small cell lung cancer. This model, based on complete data from 271 patients, represents the largest analysis of its type in the literature and can form the basis for multi-institutional randomized adjuvant trials for "high risk" patients.

1 Supported by NIH Grant CA56749 and a research grant from Abbott Laboratories (Chicago, IL).

2 To whom requests for reprints should be addressed, at Division of Thoracic Surgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115.

Received 7/ 8/94. Accepted 10/31/94.




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