Development of novel real-time RT-qPCR methodologies for quantification of the COL11A1 mRNA general and C transcripts and evaluation in non-small cell lung cancer specimens.

PURPOSE

The purpose of this study was the development of new quantitative methodologies for the general (total) COL11A1 gene and the C transcript (RT-qPCR methods for A and E transcripts have already been developed by our group previously), the quantification of all COL11A1 transcripts and the investigation for the first time of their potential association with histopathological prognostic factors in lung cancer.

METHODS

Real-time RT-qPCR methodologies with dual hybridization probes were developed on the Light Cycler 1.5 platform (Roche,Germany). All COL11A1 transcripts were measured in 27 cDNA lung tissue specimens in a blinded fashion (8 control and 19 non-small cell lung cancer (NSCLC) tissues with known histopathological data). Statistical analysis was performed with the IBM SPSS program.

RESULTS

The novel real-time RT-qPCR methodologies were appropriately validated. All 19 NSCLC samples were positive for the general COL11A1 transcript (range 11.2-1198.0 copies/μg total RNA, while 5 out of 8 control samples were negative: mean values were also statistically significantly different (p<0.001). In 4 tumor samples (21%), no specific COL11A1 transcript was detected. Transcript C was detected in only 3 tumor samples. Regarding transcripts A and E, 13 out of 19 tumor samples were positive for either one (68%) and 11 for both (58%).

CONCLUSIONS

No other statistically significant association of the specific transcripts with histopathological data was observed, most probably due to the limited number of samples. As the number of general COL11A1 transcripts/µg exceeds the sum of A+E+C transcripts in all samples, there is opportunity for discovery and identification of other transcripts as well.