Genomic Profiling of Submucosal-Invasive Gastric Cancer by Array-Based Comparative Genomic Hybridization
2011

Genomic Profiling of Submucosal-Invasive Gastric Cancer

Sample size: 59 publication Evidence: moderate

Author Information

Author(s): Kuroda Akiko, Tsukamoto Yoshiyuki, Nguyen Lam Tung, Noguchi Tsuyoshi, Takeuchi Ichiro, Uchida Masahiro, Uchida Tomohisa, Hijiya Naoki, Nakada Chisato, Okimoto Tadayoshi, Kodama Masaaki, Murakami Kazunari, Matsuura Keiko, Seto Masao, Ito Hisao, Fujioka Toshio, Moriyama Masatsugu

Primary Institution: Oita University, Japan

Hypothesis

Acquisition of specific genomic copy number aberrations (CNAs) is important for submucosal invasion and lymph node metastasis in early gastric cancer.

Conclusion

The study suggests that genetically distinct subclones, rather than specific CNAs, are integral to the process of submucosal invasion in gastric cancer.

Supporting Evidence

  • 15 out of 23 cases showed similar genomic patterns between mucosal and submucosal samples.
  • Gains at 11q13, 11q14, 11q22, and 14q32 were more frequent in metastatic samples.
  • Amplification of 17q21 was detected more frequently in metastatic samples than in non-metastatic samples.
  • Immunohistochemistry showed that ERBB2 overexpression was associated with 17q21 amplification.

Takeaway

This study looked at cancer samples to see how they change as they invade deeper into the stomach and spread to lymph nodes, finding that different parts of the same tumor can be quite different from each other.

Methodology

The study used array-based comparative genomic hybridization to analyze genomic profiles of tumor samples from patients with submucosal-invasive gastric cancers.

Limitations

The study had a limited number of cases analyzed, which may affect the generalizability of the findings.

Participant Demographics

27 patients with submucosal-invasive gastric cancers.

Statistical Information

P-Value

0.028

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0022313

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