Literature DB >> 30881040

Neoadjuvant chemotherapy with radical surgery vs radical surgery alone for cervical cancer: a systematic review and meta-analysis.

Hui Zhao1, Yue He1, Shu-Li Yang1, Qun Zhao1, Yu-Mei Wu1.   

Abstract

AIM: This systematic review was designed to evaluate the efficacy of neoadjuvant chemotherapy with radical surgery vs radical surgery alone for cervical cancer.
METHODS: A computerized search was done for trials from PubMed, EMBASE, CENTRAL, and Cochrane Database of Systematic Reviews. The trials included neoadjuvant chemotherapy plus radical surgery vs radical surgery alone. We measured overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), local and distant recurrence, lymph node metastasis, and parametrial infiltration per patient.
RESULTS: In all, 13 studies involving 2,158 subjects were included. In regard to OS, DFS, PFS, local and distant recurrence, and parametrial infiltration, neoadjuvant chemotherapy plus radical surgery was similar to radical surgery alone. Among them, subgroup analysis of eight studies involving 1,544 patients with locally advanced cervical cancer (FIGO stage IB2-IIB) showed that neoadjuvant chemotherapy (NACT) plus radical surgery significantly improved OS, and decreased local and distant recurrence rates, lymph node metastasis rate, and the level of parametrial infiltration compared to radical surgery alone.
CONCLUSION: The present study demonstrates that preoperative NACT is now an accepted effective procedure in selected patients with locally advanced cervical cancer (FIGO stage IB2-IIB). However, the relationship between NACT and longer DFS and PFS cannot be demonstrated by this meta-analysis. Thus, the decision to use or not to use NACT before radical surgery depends on the surgeon's experience and clinical judgment. Nevertheless, further research in this field is urgently needed to confirm it.

Entities:  

Keywords:  cervical cancer; meta-analysis; neoadjuvant chemotherapy; surgery

Year:  2019        PMID: 30881040      PMCID: PMC6413756          DOI: 10.2147/OTT.S186451

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Cervical cancer is one of the common malignant tumors that affect the health of females all over the world. Its morbidity and mortality are ranking second in oncology in the world and ranking fourth in oncology for women.1 For early stage cervical cancer, surgery and radiotherapy are the standard treatment modalities.2 In order to further improve the prognosis, comprehensive treatment regimens, mainly including surgery, radiotherapy, and chemotherapy, have been developed, with continuous exploration by investigators over recent years.3,4 However, the best treatment is still controversial. Previous observations show that cervical cancer is moderately chemosensitive. Investigators generally believe that only when other treatment options fail, will advanced or recurrent patients choose chemotherapy as a treatment. In recent years, the age of onset of cervical cancer has tended to be younger and the proportion of adenocarcinoma has increased, but young patients have higher ovarian retention and sexual function requirements. While traditional simple radical radiotherapy and reoperation after radiotherapy for squamous cell carcinoma are good, there was no significant increase in the survival rate of cervical adenocarcinoma patients, especially for bulky (tumor diameter ≥4 cm) and locally advanced cervical cancer patients. Since the late 1980s, preoperative neoadjuvant chemotherapy (NACT) has been proposed and carried out.5 NACT as one of the adjuvant treatments of cervical cancer reduces tumor volume, kills subclinical lesions, increases tumor resectability, eliminates micro-metastases, and has received widespread attention. There have been numerous published studies on neoadjuvant chemotherapy for cervical cancer, but the results differ. Therefore, it is necessary to conduct a more rigorous, comprehensive, and objective systematic review of the efficacy of neoadjuvant chemotherapy. Therefore, the aim of this study was to compare the long-term efficacy of neoadjuvant chemotherapy followed by surgery vs surgery alone for patients with early-stage or locally advanced cervical cancer (FIGO stage IB2, stage IIA, stage IIB), and provide a theoretical basis for the clinical application of NACT.

Patients and methods

This meta-analysis was performed according to the Cochrane Handbook for Systematic Reviews of Interventions6 and presented based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.7

Search strategy

We conducted a systematic search of PubMed, EMBASE, Cochrane Central Register of Clinical Trials (CENTRAL), and Cochrane Database of Systematic Reviews, using the MeSH terms and free key words “cervical cancer”, “surgery”, and “chemotherapy”, from their dates of inception to October 2017, and identified all potentially relevant articles; there was no language restriction. We also searched the reference lists of the full-text papers and reviewed studies from all of the relevant publications to identify any omitted studies.

Inclusion criteria

Inclusion criteria were articles related to: 1) patients who were diagnosed with early or locally advanced cervical cancer and were treatment naive; 2) trials focused on comparing neoadjuvant chemotherapy plus radical surgery with radical surgery alone; 3) at least one of the outcome measures mentioned below was reported: overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), local and distant recurrence, lymph node metastasis, or parametrial infiltration; and 4) randomized controlled trials (RCTs), prospective non-RCTs, or retrospective clinical control study. Articles with the following exclusion criteria were eliminated: 1) trials without a placebo or treatment group; 2) the reported data was clearly erroneous or incomplete, and was unable to provide research outcomes; 3) case reports, or observational studies; and 4) duplicated publications.

Risk-of-bias assessments

The risk of bias in each included study was evaluated based on Cochrane handbook version 5.1.0 for Systematic Reviews by the Cochrane Collaboration. Study quality was evaluated, including random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other biases. Each entry was then classified as “low risk”, “unclear risk”, or “high risk”.

Data selection and extraction

Trials identified through the search activities described above were each assigned to a review topic (or topics). Data extracted from the review were entered into Thomson Research Software (EndNote X4), and checked for accuracy. When information regarding any of the above was unclear, original reports would be consulted for further details. “Included”, “pending”, “excluded (reason)” were indicated in the “notes” column, and “pending” reports were retraced from the references. A self-designed data extraction form was used by two researchers to independently extract content, including lead author, year of publication, participant characteristics, the clinical stage of cancer, histological type, tumor size, treatment measures, outcomes, effect indicators, and follow-up duration. Literature screening, quality evaluation, and data extraction were carried out by two reviewers. In cases of disagreement, a third investigator helped to resolve the disagreement through discussion.

Statistical analysis

Review Manager Software (RevMan5.3, offered by the Cochrane Collaboration) was used for statistical analysis. Odds ratios (ORs) and 95% CIs were used for binary data meta-analysis of effect size. The chi-squared test was used to assess significance of heterogeneity, and the degree of heterogeneity was then examined using the I2 statistic. The fixed-effects model was used if the assessment of heterogeneity was not significant (P>0.1, I2≤50%). If the source of heterogeneity was uncertain, the random-effects model was used for analysis.

Results

Study selection

A total of 501 articles were retrieved. Thirty-five duplicate publications were excluded and 446 irrelevant papers were excluded based on a review of titles and abstracts. An intensive reading full-text review of the 20 included articles further removed seven articles. Finally, a total of 13 studies,8–20 published between 1997 and 2016, were assessed for eligibility in the meta-analysis (Figure 1).
Figure 1

Flow diagram of study searching strategy.

Quality assessment

Three studies10,17,19 used random number tables and computer-generated random sequence for random sequence generation, while four studies10–12,18 just reported the randomized trials and provided no description of randomization methods. Six studies of random grouping methods were assessed as a high risk of bias. Two trials10,19 allocated patient concealment by sealed envelopes. Blinded methods were neither used in participants nor intervention providers because of the nature of the interventions. Most trials had comparable baselines, except one trial9 with a statistically significant difference between the two groups for FIGO stage. Blinding of outcome assessment independent of the trial was done in six studies.10–13,17,19 None of the included studies had an incomplete report or a selective report. Overall, three studies10,17,19 were of high methodological quality, four10–12,18 were of moderate quality, and the remaining were of low quality. Summaries of the quality assessment results for all of the trials are shown in Figures 2 and 3.
Figure 2

Quality assessment summary for included studies.

Figure 3

Methodological quality assessment for each included study.

Note: +, low risk of bias; −, high risk of bias; ?, unclear risk of bias.

Characteristics of study selection

Totally, 2,158 cervical cancer patients were included in this meta-analysis, 814 receiving NACT plus radical surgery, and 1,344 receiving radical surgery alone. Studies included women with FIGO stage IB–IIB cervical cancer. Among those patients, the mean age ranged from 20–77 years, the sample size ranged from 60–524, the follow-up period varied from 37–94 months, and there was no statistically significant difference between the two groups for tumor’s histological type. Intervention strategies were similar among most of the studies. The characteristics of included studies are depicted in Table 1.
Table 1

Characteristics of included studies

Author, yearProceduresSample sizeMean age
Histological type
Tumor size (cm)Follow-upFIGO stageOutcome measures
Years (SD)P-valueAdenocarcinoma/squamousP-value

Behtash et al8 (2006)NACT2248 (26–75)NS2/20NSNR62.4 monthsStage IB–IIA①②④⑤⑥
RS16052 (20–77)14/14693.6 months
Bogani et al9 (2014)NACT2046.5 (8.6)NS4/16NSNR38.2 monthsStage IB–III①④⑤
RS4046.7 (10.7)9/3137 months
Cai et al10 (2006)NACT5245.6 (22.4)NS12/40NS4.5 (2.9)62 monthsStage IB1–IB2①②④⑤⑥
RS5444.8 (24.4)15/394.2 (3.2)
Chen et al11 (2008)NACT7244 (25–74)NS12/60NS>4>48 monthsStage IB2–IIB①②④⑤⑥
RS7013/57
Eddy et al12 (2007)NACT145NRNS22/113NS>462 monthsStage IB①②③④⑤⑥
RS14326/110
Katsumata et al13 (2013)NACT6747 (28–70)NS0/67NS>449 monthsStage IB2–IIB④⑤⑥
RS6646 (22–67)1/65
Kim et al14 (2011)NACT7349.4 (9.8)NS10/63NS3.5 (0.2)NRstage IB–IIA④⑤
RS45150.6 (11.5)103/3482.9 (1.9)
Lee et al15 (2011)NACT3347.5 (9.6)NS6/27NS4.6 (0.6)56 monthsStage IB2–IIA①③④⑤⑥
RS4147.3 (10.5)4/374.8 (0.8)51 months
Prueksaritanond et al16 (2012)NACT4043.0 (6.7)NS6/34NS5 (4.5–6)NRStage IB2–IIA⑤⑥
RS4043.1 (9.7)10/305 (4.5–6.5)
Sardi et al17 (1997)NACT10239 (23–68)NSNRNRNRNRstage IB1–IB2①④⑤⑥
RS10341 (24–69)
Wen et al18 (2012)NACT3044.5 (9.1)NS2/28NS4.7 (1.2)34.8 monthsStage IB2–IIA①③⑤⑥
RS3145.7 (7.9)2/295.0 (1.3)
Yang et al19 (2016)NACT10747 (23–66)NS17/90NSNR32 (12–44) monthsStage IB2–IIA①②⑤⑥
RS11048 (26–68)21/8931.5 (17–44) months
Cho20 (2009)NACT5147.8 (10.8)NS5/46NS4.8 (0.8)48.5 monthsStage IB2–IIA①②④⑤⑥
RS3544.8 (9.7)1/345.0 (1.0)32 months

Note: Outcome measures: ① overall survival (OS), ② disease-free survival (DFS), ③ progression-free survival (PFS), ④ local and distant recurrence, ⑤ lymph node metastatic, ⑥ parametrial infiltration.

Abbreviations: NACT, neoadjuvant chemotherapy; NR, not reported; NS, non significant; RS, radical surgery.

Outcomes and synthesis of results

Effects of interventions for early cervical cancer

Overall survival

Eleven studies8–13,15,17–20 reported OS, including a total of 1,554 patients (701 in the NACT+radical surgery group and 853 in the radical surgery alone group). There was no statistical between-study heterogeneity in OR of studies (P=0.08, I2=40%); we used the fixed effects model for merging. The pooled estimates of effect sizes showed no statistical difference in OS between the two groups (OR=1.21, 95% CI=0.94–1.55, P=0.14), as shown in Figure 4.
Figure 4

Comparison of long-term efficacy between NACT plus radical surgery group and the radical surgery alone group. (A) Forest plot of overall survival (OS); (B) forest plot of disease-free survival (DFS); (C) forest plot of progression-free survival (DFS); (D) forest plot of recurrence rate.

Abbreviations: M–H, Mantel–Haenszel; NACT, neoadjuvant chemotherapy.

Disease-free survival

Six studies8,10–12,19,20 reported DFS, including a total of 1,021 patients (449 in the NACT+radical surgery group and 572 in the radical surgery alone group). There was statistical between-study heterogeneity in OR of studies (P=0.003, I2=72%); we used the random effects model for merging. The pooled estimates of effect sizes showed no statistical difference in DFS between the two groups (OR=1.15, 95% CI=0.60–2.21, P=0.67), as shown in Figure 4.

Progression-free survival

Four studies12,13,15,17 reported PFS, including a total of 556 patients (275 in the NACT+radical surgery group, and 281 in the radical surgery alone group). There was no statistical between-study heterogeneity in the OR of studies (P=0.45, I2=0%); we used the fixed effects model for merging. The pooled estimates of effect sizes showed no statistical difference in PFS between the two groups (OR=1.10, 95% CI=0.77–1.57, P=0.60), as shown in Figure 4.

Local and distant recurrence rates

Nine studies8–12,14,15,17,20 which reported recurrence rate included a total of 1,667 patients (570 in the NACT+radical surgery group and 1,097 in the radical surgery alone group). There was statistical between-study heterogeneity in the OR of studies (P=0.03, I2=54%); we used the random effects model for merging. The pooled estimates of effect sizes showed no statistical difference in the recurrence rate between the two groups (OR=0.84, 95% CI=0.54–1.30, P=0.44), as shown in Figure 4.

Lymph node metastasis rates

Twelve studies8–16,18–20 reported lymph node metastasis rate, including a total of 1,953 patients (712 in the NACT+radical surgery group and 1,241 in the radical surgery alone group). There was statistical between-study heterogeneity in the OR of studies (P=0.01, I2=54%); we used the random effects model for merging. The pooled estimates of effect sizes showed that NACT+radical surgery was associated with a significant decrease in the lymph node metastasis rate compared to radical surgery alone (OR=0.63, 95% CI=0.44–0.91, P=0.01), as shown in Figure 4.

Parametrial infiltration rates

Ten studies8,10–13,15,16,18–20 reported parametrial infiltration rate, including a total of 1,353 patients (613 in the NACT+radical surgery group and 740 in the radical surgery alone group). There was statistical between-study heterogeneity in the OR of studies (P=0.009, I2=59%); we used the random effects model for merging. The pooled estimates of effect sizes showed no statistical difference in the parametrial infiltration rate between the two groups (OR=0.59, 95% CI=0.33–1.05, P=0.07), as shown in Figure 4.

Subgroup analyses for locally advanced cervical cancer

Seven studies11,13,15,17–20 reported OS, including a total of 830 patients (421 in the NACT+radical surgery group, and 409 in the radical surgery alone group). There was no statistical between-study heterogeneity in the OR of studies (P=0.23, I2=27%); we used the fixed effects model for merging. The pooled estimates of effect sizes showed a statistically significant difference in OS between the two groups (OR=1.44, 95% CI=1.01–2.06, P=0.05), as shown in Figure 4. Four studies11,13,15,17 reported recurrence rate, including a total of 419 patients (217 in the NACT+radical surgery group and 202 in the radical surgery alone group). There was no statistical between-study heterogeneity in the OR of studies (P=0.71, I2=0%); we used the fixed effects model for merging. The pooled estimates of effect sizes showed that NACT+radical surgery significantly decreased the recurrence rate compared to radical surgery alone (OR=0.43, 95% CI=0.25–0.73, P=0.002), as shown in Figure 5.
Figure 5

Comparison of pathological findings between the NACT plus radical surgery group and the radical surgery alone group. (A) Forest plot of lymph node metastatic; (B) forest plot of parametrial infiltration.

Abbreviations: M–H, Mantel–Haenszel; NACT, neoadjuvant chemotherapy.

Eight studies11,13,15–20 reported lymph node metastasis rate, including a total of 910 patients (461 in the NACT+radical surgery group and 449 in the radical surgery alone group). There was no statistical between-study heterogeneity in the OR of studies (P=0.15, I2=35%); we used the fixed effects model for merging. The pooled estimates of effect sizes showed that NACT+radical surgery significantly decreased the lymph node metastasis rate compared to radical surgery alone (OR=0.46, 95% CI=0.34–0.62, P<0.00001), as shown in Figure 6.
Figure 6

Subgroup analyses of long-term efficacy between the NACT plus radical surgery group and the radical surgery alone group. (A) Forest plot of overall survival (OS); (B) forest plot of recurrence rate.

Abbreviations: M–H, Mantel–Haenszel; NACT, neoadjuvant chemotherapy.

Eight studies11,13,15–20 reported parametrial infiltration rate, including a total of 910 patients (461 in the NACT+radical surgery group and 449 in the radical surgery alone group). There was statistical between-study heterogeneity in the OR of studies (P=0.01, I2=62%); we used the random effects model for merging. The pooled estimates of effect sizes showed that NACT+radical surgery significantly reduced for the parametrial infiltration rate compared to radical surgery alone (OR=0.54, 95% CI=0.29–0.99, P=0.05), as shown in Figure 7.
Figure 7

Subgroup analyses of pathological findings between the NACT plus radical surgery group and the radical surgery alone group. (A) Forest plot of lymph node metastatic; (B) forest plot of parametrial infiltration.

Abbreviations: M–H, Mantel–Haenszel; NACT, neoadjuvant chemotherapy.

Discussion

Cervical cancer, one of the most common gynecological malignancies, is a serious threat to women’s physical and mental health. Surgery and radiotherapy are recommended for initial therapy of cervical cancer; however, patients still fare poorly in terms of long-term survival. In recent years, cervical cancer has increased in incidence in younger women. In addition, radiotherapy induced vaginal stiffness, narrowing, adhesions, and other complications on the quality-of-life of young patients have gained more and more attention. Previous study has shown that response to NACT is a good surrogate endpoint of survival in patients with locally advanced cervical cancer.21 The present study suggests that NACT followed by radical surgery offers a promising alternative to radical surgery alone for patients with locally advanced cervical cancer (FIGO stage IB2–IIB), with a significant improvement in OS, and a marked decrease in the local and distant recurrence rate, lymph node metastasis rate, and the level of parametrial infiltration. However, it remains unclear whether NACT plus radical surgery consistently confers a benefit over radical surgery alone on patients with FIGO stage IA and IB1 cervical cancer. Gadducci et al22 found that the effects of chemotherapy on pathological response (P<0.0001) and FIGO stage (P=0.0072) were statistically significant. There was no statistical significance in age, pathological type (squamous cell carcinoma or adenocarcinoma), tumor diameter (5 cm cutoff value), or chemotherapy regimen in a retrospective study of preoperative NACT for locally advanced cervical cancer. Multivariate regression analysis indicated that pathological response was the determinant of long-term prognosis. In this study, Chen et al23 concluded that NACT improved peritumoral infiltration (P=0.022) and lymph node metastasis (P=0.024), but neither NACT nor tumor response to chemotherapy is an independent prognostic predictor. Similarly, Lee et al24 compared NACT+surgery with radiotherapy alone/concurrent chemoradiation, and found that, although NACT can reduce the pathological prognosis of locally advanced cervical cancer, and effective response to chemotherapy compared with the ineffective group, the former can improve long-term disease-free survival (P=0.025) and OS (P=0.021), but also did not improve the long-term prognosis of patients compared to treatment with radiotherapy. Some investigators think that NACT may be employed to improve the prognosis of high risk patients who may fail postoperative consolidation therapy due to occult micro-metastases. It is covered by the “concealing effect hypothesis”.25 This suggests that an effective chemotherapy response may be used to better predict and improve long-term prognosis of patients with locally advanced cervical cancer who undergo NACT. According to the postoperative surgical specimens, pathological response was evaluated. The optimal pathological response was CR+PRl, which indicates complete disappearance of histological lesions and interstitial infiltration of residual lesions in the neck canal <3 mm, including carcinoma in situ. However, neither chemotherapy nor radiotherapy significantly improved the long-term prognosis of patients with residual lesions outside the neck canal.

Limitations

Several limitations of the current analysis should be discussed. First, high response rate is the most important prerequisite for improvement of curative effects. Li et al26 suggested that cervical cancer patient response to NACT was an independent determinant of 5-year OS and PFS. Because the original text did not provide enough data, no stratified analysis was done. Second, the 13 researches included in this study are mostly small and/or single-center trials with varying quality. Only two studies had taken the allocation of hidden cases, the allocation of hidden or blind cases was unknown in the remaining studies; six studies with random grouping method were assessed as a high risk of bias, and none of the studies used blinding. In the future, the relevant research needs to be further improved in the following aspects: increase of sample size; right random allocation and allocation of hidden programs; adequate follow-up duration to observe short-term and long-term effects; stratified analysis of chemotherapeutic response rate, tumor staging, volume size as independent factors; and more comprehensive evaluation of the efficacy of NACT. In summary, the present study demonstrates that preoperative NACT is now an accepted effective procedure in selected patients with locally advanced cervical cancer (FIGO stage IB2–IIB), which is associated with improved OS, and reduced local and distant recurrence rates, lymph node metastasis rate, and the level of parametrial infiltration. However, the relationship between NACT and longer DFS and PFS cannot be demonstrated by this meta-analysis. Thus, the decision to use or not to use NACT before radical surgery depends on the surgeon’s experience and clinical judgment.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors.
  25 in total

1.  Neoadjuvant chemotherapy and radical surgery compared to radical surgery alone in bulky stage IB-IIA cervical cancer.

Authors:  N Behtash; Z Nazari; H Ayatollahi; M Modarres; F Ghaemmaghami; A Mousavi
Journal:  Eur J Surg Oncol       Date:  2006-09-06       Impact factor: 4.424

2.  Treatment of stage IB2, IIA bulky cervical cancer: a single-institution experience of neoadjuvant chemotherapy followed by radical hysterectomy and primary radical hysterectomy.

Authors:  Jung-Yun Lee; Yun Hwan Kim; Min-Jeong Kim; Kidong Kim; Hyun Hoon Chung; Noh-Hyun Park; Yong-Sang Song; Soon-Beom Kang
Journal:  Arch Gynecol Obstet       Date:  2010-09-28       Impact factor: 2.344

3.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  J Clin Epidemiol       Date:  2009-07-23       Impact factor: 6.437

4.  Randomized study of preoperative chemotherapy versus primary surgery for stage IB cervical cancer.

Authors:  Hong-Bing Cai; Hui-Zhen Chen; Hou-Han Yin
Journal:  J Obstet Gynaecol Res       Date:  2006-06       Impact factor: 1.730

Review 5.  Locally advanced cervical cancer.

Authors:  P G Rose
Journal:  Curr Opin Obstet Gynecol       Date:  2001-02       Impact factor: 1.927

6.  Treatment of ("bulky") stage IB cervical cancer with or without neoadjuvant vincristine and cisplatin prior to radical hysterectomy and pelvic/para-aortic lymphadenectomy: a phase III trial of the gynecologic oncology group.

Authors:  Gary L Eddy; Brian N Bundy; William T Creasman; Nick M Spirtos; Robert S Mannel; Edward Hannigan; Dennis O'Connor
Journal:  Gynecol Oncol       Date:  2007-05-09       Impact factor: 5.482

7.  Radical hysterectomy alone or combined with neoadjuvant chemotherapy in the treatment of early stage bulky cervical carcinoma.

Authors:  Chi-An Chen; Wen-Fang Cheng; Lin-Hung Wei; Yi-Ning Su; Chang-Yao Hsieh
Journal:  J Formos Med Assoc       Date:  2002-03       Impact factor: 3.282

8.  Clinical efficacy of modified preoperative neoadjuvant chemotherapy in the treatment of locally advanced (stage IB2 to IIB) cervical cancer: randomized study.

Authors:  Huijun Chen; Chuan Liang; Lei Zhang; Shuang Huang; Xufeng Wu
Journal:  Gynecol Oncol       Date:  2008-07-07       Impact factor: 5.482

9.  Comparative study of neoadjuvant chemotherapy before radical hysterectomy and radical surgery alone in stage IB2-IIA bulky cervical cancer.

Authors:  Yun-Hyun Cho; Dae-Yeon Kim; Jong-Hyeok Kim; Yong-Man Kim; Young-Tak Kim; Joo-Hyun Nam
Journal:  J Gynecol Oncol       Date:  2009-03-31       Impact factor: 4.401

10.  Inadvertent potential risk of neoadjuvant chemotherapy in cervical cancer.

Authors:  Kidong Kim; Min-Jeong Kim; Hyun Hoon Chung; Seok-Cheol Choi; Sang-Young Ryu; Jae Weon Kim; Noh-Hyun Park; Yong-Sang Song; Soon-Beom Kang
Journal:  Med Hypotheses       Date:  2009-06-23       Impact factor: 1.538

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Review 1.  Management of Stage IIB Cervical Cancer: an Overview of the Current Evidence.

Authors:  Shinya Matsuzaki; Maximilian Klar; Mikio Mikami; Muneaki Shimada; Brendan H Grubbs; Keiichi Fujiwara; Lynda D Roman; Koji Matsuo
Journal:  Curr Oncol Rep       Date:  2020-02-12       Impact factor: 5.075

2.  Comparison of therapeutic effects of chemo-radiotherapy with neoadjuvant chemotherapy before radical surgery in patients with bulky cervical carcinoma (stage IB3 & IIA2).

Authors:  Setareh Akhavan; Abbas Alibakhshi; Mahdieh Parsapoor; Abbas Alipour; Elahe Rezayof
Journal:  BMC Cancer       Date:  2021-06-05       Impact factor: 4.430

3.  Perioperative Complications and Safety Evaluation of Robot-Assisted Radical Hysterectomy of Cervical Cancer After Neoadjuvant Chemotherapy.

Authors:  Wei-Fu Chang; Ai-Jing Luo; Yi-Feng Yuan; Yang Chen; Zi-Rui Xin; Shuai-Shuai Xu
Journal:  Cancer Manag Res       Date:  2020-06-12       Impact factor: 3.989

4.  Radical Hysterectomy After Neoadjuvant Chemotherapy for Locally Bulky-Size Cervical Cancer: A Retrospective Comparative Analysis between the Robotic and Abdominal Approaches.

Authors:  Chia-Hao Liu; Yu-Chieh Lee; Jeff Chien-Fu Lin; I-San Chan; Na-Rong Lee; Wen-Hsun Chang; Wei-Min Liu; Peng-Hui Wang
Journal:  Int J Environ Res Public Health       Date:  2019-10-11       Impact factor: 3.390

Review 5.  Molecular Patho-mechanisms of cervical cancer (MMP1).

Authors:  Iwan Kurnia; Syahrul Rauf; Mochammad Hatta; Sharvianty Arifuddin; Yudi Maulana Hidayat; Rosdiana Natzir; Cahyo Kaelan; Agussalim Bukhari; Nugraha Utama Pelupessy; Ilham Jaya Patelonggi
Journal:  Ann Med Surg (Lond)       Date:  2022-03-31

6.  Association between Three Therapeutic Strategies and Clinical Outcomes of 2009 FIGO Stage IB2/IIA2 Cervical Cancer.

Authors:  Yong Zhang; Xiaobi Tang; Shanshan Ma; Meizhu Shen; Li Jiang; Wenchao Yuan; Rensheng Wang; Fang Wu
Journal:  J Oncol       Date:  2022-08-22       Impact factor: 4.501

7.  Effect of neoadjuvant chemotherapy followed by surgery for FIGO stage I-II cervical cancer: a meta-analysis.

Authors:  Shu-Li Yang; Ling Chen; Yue He; Hui Zhao; Yu-Mei Wu
Journal:  J Int Med Res       Date:  2020-08       Impact factor: 1.671

8.  Outcome evaluation of neoadjuvant chemotherapy in patients with stage IB2 or IIA cervical cancer: a retrospective comparative study.

Authors:  Wenxing Yan; Shuang Qiu; Lihui Si; Yaming Ding; Qi Zhang; Linlin Liu
Journal:  Transl Cancer Res       Date:  2020-03       Impact factor: 1.241

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