RNA amplification with transcript sequencing (RAWTS) is a rapid and sensitive method of direct sequencing that involves complementary DNA synthesis, polymerase chain reaction (PCR) with a primer or primers containing a phage promoter, transcription from the phage promoter, and reverse transcriptase-mediated sequencing. By means of RAWTS, it was possible to sequence each of four tissue-specific human messenger RNAs (blue pigment, factor IX, phenylalanine hydroxylase, and tyrosine hydroxylase) in four cell types examined (white blood cells, liver, K562 erythroleukemia cells, and chorionic villus cells). These results indicate that there is a basal rate of transcription, splicing, and polyadenylation of tissue-specific mRNAs in adult and embryonic tissues. In addition to revealing sequence information, it is possible to generate a desired in vitro translation product by incorporating a translation initiation signal into the appropriate PCR primer. RAWTS can be used to obtain novel mRNA sequence information from other species as illustrated with a segment of the catalytic domain of factor IX. In general, the ability to obtain mRNA sequences rapidly across species boundaries should aid both the study of protein evolution and the identification of sequences crucial for protein structure and function.
Mutation detection by highly sensitive methods indicates that p53 gene mutations in breast cancer can have important prognostic value.
Human cancer cells with a mutated p53 tumor-suppressor gene have a selective growth advantage and may exhibit resistance to ionizing radiation and certain chemotherapeutic agents. To examine the prognostic value of mutations in the p53 gene, a cohort of 90 Midwestern Caucasian breast cancer patients were analyzed with methodology that detects virtually 100% of all mutations. The presence of a p53 gene mutation was by far the single most predictive indicator for recurrence and death (relative risks of 4.7 and 23.2, respectively). Direct detection of p53 mutations had substantially greater prognostic value than immunohistochemical detection of p53 overexpression. Analysis of p53 gene mutations may permit identification of a subset of breast cancer patients who, despite lack of conventional indicators of poor prognosis, are at high risk of early recurrence and death.