Expression of HIF-1α is a predictive marker of the efficacy of neoadjuvant chemotherapy for locally advanced cervical cancer

Autor: Hong‑Ning Cai, Han Gao, Meng Xu, Quan‑Fu Ma, Wen‑Fu Tan, Xu‑Feng Wu, Yan‑Li Li, Jun‑Bo Hu, Zhi‑Gang Zhou, Xuan Dai, Bin Yan, Yu‑Lin Guo, Yu‑Jing Xiong, Fa‑Xia Zhu
Rok vydání: 2019
Předmět:
Zdroj: Oncology Letters
ISSN: 1792-1074
Popis: Platinum-based, arterial infusion chemotherapy as a neoadjuvant chemotherapy (NACT) followed by hysterectomy may be efficient for the treatment of locally advanced cervical cancer and improve prognosis. It is important to predict whether the NACT would be effective before it is launched. Hypoxia inducible factor-1α (HIF-1α) is the master transcriptional regulator of the cellular response to altered oxygen concentration. HIF-1α protein expression is elevated in numerous human malignancies, contributes to poor disease outcome, and has been reported to induce tumorigenesis and chemoresistance. In the present study, patients with International Federation of Gynecology and Obstetrics stage IIB-IIIB cervical cancer (n=59) between 2008 and 2014 were assessed for HIF-1α expression by immunohistochemistry. Tumor samples were obtained by biopsy before any treatment. A double-path chemotherapy regimen, paclitaxel (intravenous) plus cisplatin (intra-arterial injection into the uterine region), was used as NACT. The patients were then separated into two groups according to NACT response: One group comprised patients with NACT, for whom the response to treatment was efficient resulting in complete/partial remission of the tumor (CR + PR group; n=52), the other group contained patients with NACT, for whom the result of the treatment was a stable/progressive disease (SD + PD group; n=7). HIF-1α expression was tested in paraffin-embedded sections using immunohistochemistry. HIF-1α expression was significantly higher in the SD + PD group compared with the CR + PR group (P=0.029). The overall survival time was significantly longer in the CR + PR group compared with the SD + PD group (P
Databáze: OpenAIRE