Transcript Profiling Distinguishes Complete Treatment Responders With Locally Advanced

Cervical cancer (CC) mortality is a major public health concern since it is the second cause of cancer-related deaths among women. Patients diagnosed with locally advanced CC (LACC) have an important rate of recurrence and treatment failure.ConventionaltreatmentforLACCisbasedonchemotherapyandradiotherapy;however,upto40%ofpatientswill not respond to conventional treatment; hence, we searched for a prognostic gene signature able to discriminate patients who do not respond to the conventional treatment employed to treat LACC. Tumor biopsies were profiled with genomewide high-density expression microarrays. Class prediction was performed in tumor tissues and the resultant gene signaturewas validated by quantitative reversetranscription–polymerasechain reaction. A27-predictivegeneprofilewas identified through its association with pathologic response. The 27-gene profile was validated in an independent set of