Outcome of Patients With Incomplete Resection After Surgery for Stage IB2/II Cervical Carcinoma With Chemoradiation Therapy

The effect of surgery on the survival status of patients with locally advanced cervical cancer after radiotherapy/chemoradiotherapy: a meta-analysis

BACKGROUND

To determine the effect of surgery on the survival status of patients with locally advanced cervical cancer after radiotherapy/chemoradiotherapy.

METHODS

PubMed, Web of Science, ProQuest and Medline were searched using the key words "cervical cancer", "locally advanced disease", "radiotherapy" and "surgery or hysterectomy". Eight articles were selected and analysed using the STATA 12.0 software package. The log hazard ratio (HR) and its standard error for overall survival were calculated to assess the effect of surgery on patients with locally advanced cervical cancer after radiotherapy/chemoradiotherapy.

RESULTS

In total, 2176 patients with locally advanced cervical cancer were identified. The pooled HR for overall survival was 1.13 (95% confidence interval (CI) 0.906-1.409), and there were no differences among the eight manuscripts (z = 1.08, p = 0.278). In the subgroup analysis, the pooled HR for overall survival was 1.169 (95% CI 0.924-1.480), and no differences among patients with stage IB-IIB disease were found in six articles (z = 1.30, p = 0.193). There was no publication bias regarding overall survival or stage IB-IIB disease.

CONCLUSIONS

This meta-analysis suggested that surgery had no effect on overall survival after radiotherapy/chemoradiotherapy; therefore, it is not recommended for patients with locally advanced cervical cancer.

Pathway profiling and rational trial design for studies in advanced stage cervical carcinoma: a review and a perspective

Multiple genetic abnormalities will have occurred in advanced cervical cancer and multiple targeting is likely to be needed to control tumor growth. To date, dominant therapeutic targets under scrutiny for cervical cancer treatment have been EGFR pathway and angiogenesis inhibition as well as anti-HPV vaccines. The potentially most effective targets to be blocked may be downstream from the membrane receptor or at the level of the nucleus. Alterations of the pathways involved in DNA repair and in checkpoint activations, as well as the specific site of HPV genome integration, appear worth assessing. For genetic mutational analysis, complete exon sequencing may become the norm in the future but at this stage frequent mutations (that matter) can be verified by PCR analysis. A precise documentation of relevant alterations of a large spectrum of protein biomarkers can be carried out by reverse phase protein array (RPPA) or by multiplex analysis. Clinical decision-making on the drug(s) of choice as a function of the biological alteration will need input from bio-informatics platforms as well as novel statistical designs. Endpoints are yet to be defined such as the loss (or reappearance) of a predictive biomarker. Single or dual targeting needs to be explored first in relevant preclinical animal and in xenograft models prior to clinical deployment.