| Literature DB >> 31574835 |
Wenxing Yan1, Lihui Si2, Yaming Ding1, Shuang Qiu3, Qi Zhang1, Linlin Liu1.
Abstract
Locally advanced cervical carcinoma has a poor prognosis. Neoadjuvant chemotherapy (NACT) can reduce tumor size and improve tumor resection rate, but its use in large locally advanced cervical carcinoma is controversial. This study aimed to evaluate the treatment and prognosis of NACT in patients with cervical carcinoma stage IB2 or IIA2.This was a retrospective cohort study of patients who underwent type-C radical surgery and pelvic lymphadenectomy due to cervical carcinoma stage IB2/IIA2 between 2/2014 and 12/2016 at the Second Hospital of Jilin University. The patients were grouped according to whether they received NACT (paclitaxel and a platinum salt) or not. Overall survival (OS) and progression-free survival (PFS) were compared between the 2 groups.Of the 144 patients, 60 (41.7%) received NACT. A total of 119 patients underwent postoperative radiation therapy, of which 97 received radiation therapy alone and 22 received concurrent chemoradiotherapy. The adverse reactions in the NACT group were mainly hematologic toxic reactions, but were tolerated. No grade ≥III adverse reactions were observed. NACT did not significantly affect the PFS (P = .453) and OS (P = .933) between the 2 groups. No factor was found to be independently associated with OS or PFS (all P > .05).Compared with patients who underwent surgery with/without radiotherapy and/or chemotherapy, NACT using paclitaxel and a platinum salt does not improve the prognosis and lymph node metastasis rate of locally advanced cervical carcinoma in Chinese patients.Entities:
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Year: 2019 PMID: 31574835 PMCID: PMC6775422 DOI: 10.1097/MD.0000000000017234
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Baseline characteristics of the patients.
Figure 1Overall survival (OS) and progression-free survival (PFS) based on neoadjuvant chemotherapy vs no neoadjuvant chemotherapy before surgery. (A) OS (P = .933). (B) PFS (P = .450).
Univariable and multivariable analyses of OS and PFS.