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Measurement of gene expression biomarkers by qNPA from archived NSCLC FFPE: Prognosis of 5-year survival.

Publication ,  Journal Article
Joshi, MM; Seligmann, B; Sabalos, C; Harpole, DH
Published in: J Clin Oncol
May 20, 2009

11098 Background: There are vast archives of formalin fixed paraffin-embedded (FFPE) tissue samples that are clinically annotated offering great research potential. However, the technology currently available to assess gene expression is limited to fresh, frozen, tissue. Recently, a method for measuring gene expression from FFPE using the quantitative Nuclease Protection Assay (qNPA) has been published in a model of diffuse large B-cell lymphoma. It was demonstrated that identical results were obtained from small amounts of FFPE as from matched frozen tissue, or from freshly fixed versus 18 year archived FFPE. METHODS: This study used the qNPA assay to measure gene expression in archived FFPE primary tumor samples of patients with stage 1 NSCLC for whom the survival outcomes are known (n=86). HTG lysis buffer is added to the sample; nuclease protection probes that are complementary to the mRNA of interest are then added to the solution. The probes hybridize to all RNA, soluble and cross-linked. After hybridization, S1 nuclease was added and destroys all nonspecific, single strand nucleic acid, producing a stoichiometric amount of target-mRNA to probe duplexes. Base hydrolysis releases the probe from these duplexes. Probes were transferred to a programmed ArrayPlate, detection linker added, and both probes and detection linkers were captured onto the array. The ArrayPlate was washed, HRP-labeled detection probe added, incubated, washed, and chemiluminescent substrate was added. Finally, the ArrayPlate was imaged, to measure the expression of each gene in all the wells. RESULTS: Mantel-Cox analysis indicates that the detection of increased expression of G-CSF (p = 0.07; H.R. =1.904; 95% CI=0.9003-4.028) and Leptin (p=0.09; H.R. =1.910; 95% CI=0.9299-3.924) individually suggest an improved survival. Age, gender and T size were found to not be significant in this data set. CONCLUSIONS: These results suggest an improved survival advantage in patients with an elevated native GCSF level in stage 1 NSCLC that is consistent with the survival benefits associated with the prophylactic treatment of GCSF for chemosensitivity in stage III or IV NSCLC patients. These results are currently being assessed using a larger cohort. [Table: see text].

Duke Scholars

Published In

J Clin Oncol

EISSN

1527-7755

Publication Date

May 20, 2009

Volume

27

Issue

15_suppl

Start / End Page

11098

Location

United States

Related Subject Headings

  • Oncology & Carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Joshi, M. M., Seligmann, B., Sabalos, C., & Harpole, D. H. (2009). Measurement of gene expression biomarkers by qNPA from archived NSCLC FFPE: Prognosis of 5-year survival. J Clin Oncol, 27(15_suppl), 11098.
Joshi, M. M., B. Seligmann, C. Sabalos, and D. H. Harpole. “Measurement of gene expression biomarkers by qNPA from archived NSCLC FFPE: Prognosis of 5-year survival.J Clin Oncol 27, no. 15_suppl (May 20, 2009): 11098.
Joshi MM, Seligmann B, Sabalos C, Harpole DH. Measurement of gene expression biomarkers by qNPA from archived NSCLC FFPE: Prognosis of 5-year survival. J Clin Oncol. 2009 May 20;27(15_suppl):11098.
Joshi, M. M., et al. “Measurement of gene expression biomarkers by qNPA from archived NSCLC FFPE: Prognosis of 5-year survival.J Clin Oncol, vol. 27, no. 15_suppl, May 2009, p. 11098.
Joshi MM, Seligmann B, Sabalos C, Harpole DH. Measurement of gene expression biomarkers by qNPA from archived NSCLC FFPE: Prognosis of 5-year survival. J Clin Oncol. 2009 May 20;27(15_suppl):11098.

Published In

J Clin Oncol

EISSN

1527-7755

Publication Date

May 20, 2009

Volume

27

Issue

15_suppl

Start / End Page

11098

Location

United States

Related Subject Headings

  • Oncology & Carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences