Perineural Invasion Is an Independent Predictor of Outcome in Colorectal Cancer

  • Catherine Liebig
    From the Micheal E. DeBakey Department of Surgery, Department of Pathology, and Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine; and Micheal E. DeBakey Houston Veterans Affairs Medical Center, Houston, TX.
  • Gustavo Ayala
    From the Micheal E. DeBakey Department of Surgery, Department of Pathology, and Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine; and Micheal E. DeBakey Houston Veterans Affairs Medical Center, Houston, TX.
  • Jonathan Wilks
    From the Micheal E. DeBakey Department of Surgery, Department of Pathology, and Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine; and Micheal E. DeBakey Houston Veterans Affairs Medical Center, Houston, TX.
  • Gordana Verstovsek
    From the Micheal E. DeBakey Department of Surgery, Department of Pathology, and Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine; and Micheal E. DeBakey Houston Veterans Affairs Medical Center, Houston, TX.
  • Hao Liu
    From the Micheal E. DeBakey Department of Surgery, Department of Pathology, and Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine; and Micheal E. DeBakey Houston Veterans Affairs Medical Center, Houston, TX.
  • Neeti Agarwal
    From the Micheal E. DeBakey Department of Surgery, Department of Pathology, and Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine; and Micheal E. DeBakey Houston Veterans Affairs Medical Center, Houston, TX.
  • David H. Berger
    From the Micheal E. DeBakey Department of Surgery, Department of Pathology, and Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine; and Micheal E. DeBakey Houston Veterans Affairs Medical Center, Houston, TX.
  • Daniel Albo
    From the Micheal E. DeBakey Department of Surgery, Department of Pathology, and Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine; and Micheal E. DeBakey Houston Veterans Affairs Medical Center, Houston, TX.

書誌事項

公開日
2009-11-01
DOI
  • 10.1200/jco.2009.22.4949
公開者
American Society of Clinical Oncology (ASCO)

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説明

<jats:sec><jats:title>Purpose</jats:title><jats:p> Perineural invasion (PNI) is associated with decreased survival in several malignancies, but its significance in colorectal cancer (CRC) remains to be clearly defined. We evaluated PNI as a potential prognostic indicator in CRC, focusing on its significance in node-negative patients. </jats:p></jats:sec><jats:sec><jats:title>Patients and Methods</jats:title><jats:p> We identified 269 consecutive patients who had CRC resected at our institution. Tumors were rereviewed for PNI by a pathologist blinded to the patients' outcomes. Overall and disease-free survivals were determined using the Kaplan-Meier method, with differences determined by multivariate analysis using the Cox multiple hazards model. Results were compared using the log-rank test. </jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p> PNI was identified in less than 0.5% of the initial pathology reports. On rereview, 22% of tumors in our series were found to be PNI positive. The 5-year disease-free survival rate was four-fold greater for patients with PNI-negative tumors versus those with PNI-positive tumors (65% v 16%, respectively; P < .0001). The 5-year overall survival rate was 72% for PNI-negative tumors versus 25% for PNI-positive tumors. On multivariate analysis, PNI was an independent prognostic factor for both cancer-specific overall and disease-free survival. In a subset analysis comparing patients with node-negative disease with patients with stage III disease, the 5-year disease-free survival rate was 56% for stage III patients versus 29% for patients with node-negative, PNI-positive tumors (P = .0002). Similar results were seen for overall survival. </jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p> PNI is grossly underreported in CRC and could serve as an independent prognostic factor of outcomes in these patients. PNI should be considered when stratifying CRC patients for adjuvant treatment. </jats:p></jats:sec>

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