Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2016 Feb 22;11(2):e0149534. doi: 10.1371/journal.pone.0149534

Young Cervical Cancer Patients May Be More Responsive than Older Patients to Neoadjuvant Chemotherapy Followed by Radical Surgery

Jin Zhou 1,2,#, Xiong Li 1,3,#, Kecheng Huang 1, Yao Jia 1, Fangxu Tang 1, Haiying Sun 1, Yuan Zhang 4, Qinghua Zhang 3,*, Ding Ma 1,*, Shuang Li 1,*
Editor: Xiaoan Liu5
PMCID: PMC4763723  PMID: 26901776

Abstract

Objective

To evaluate the effects of age and the clinical response to neoadjuvant chemotherapy (NACT) in patients with cervical cancer who received neoadjuvant chemotherapy followed by radical surgery.

Methods

A total of 1,014 patients with advanced cervical cancer who received NACT followed by radical surgery were retrospectively selected. Patients were divided into young (aged ≤35 years, n = 177) and older (aged >35 years, n = 837) groups. We compared the short-term responses and survival rates between the groups. The five-year disease-free survival (DFS) and overall survival (OS) rates were stratified by age, NACT response, and FIGO stage.

Results

The overall response rate was 86.8% in the young group and 80.9% in the older group. The young patients had an earlier FIGO stage (P<0.001), a higher rate of adenocarcinoma (P = 0.022), and more lymph node metastasis (P = 0.033) than the older patients. The presence of adenocarcinoma as the histological type (P = 0.024) and positive lymph node metastasis (P<0.001) were identified as independent risk factors for survival. When stratified by age and clinical response, young patients with no response to NACT had a worse clinicopathological condition compared with the other subgroups. Compared with non-responders, responders to NACT had a higher five-year DFS rate (80.1% versus 71.8%; P = 0.019) and OS rate (82.6% versus 71.8%; P = 0.003) among the young patients but not among the older patients.

Conclusions

Responders to NACT aged 35 years or younger benefitted the most from NACT, while the young non-responders benefitted the least. Age might represent an important factor to consider when performing NACT in patients with cervical cancer.

Introduction

Cervical cancer is the fourth most common cancer in women and one of the most common causes of cancer-related death in women worldwide [1]. Over the past four decades, with the widespread use of cervical cancer mass screening programs, the incidence and mortality rates of cervical cancer have declined. However, cervical cancer in young women remains common in China [2]. Patients younger than 35 years of age comprise approximately 16% of all patients with cervical cancer in China at present [3]. According to many earlier reports, a cervical cancer diagnosis at a young age is associated with more aggressive biological characteristics of the tumor and a more unfavorable prognosis compared with patients in whom the disease arises later [46]. The treatments used for cervical cancer often affect young women of reproductive age more severely than older patients due to the decrease in the quality of their sex life and the loss of future fertility. To be effective, treatment protocols must account for this age-related diversity in outcomes.

Radical surgery and radiotherapy have been the most common therapies for cervical cancer patients for decades [7]. However, radiation can lead to physiological dysfunction and a decreased quality of life. Adjunctive chemotherapy before and after surgery has been investigated with increasing attention over the past few years. More recently, neoadjuvant chemotherapy (NACT) followed by radical surgery (RS) has been gaining wider acceptance as an alternative treatment option [811]. According to several studies, NACT increases the chance of an optimal debulking surgery by shrinking the tumor(s) before surgery [1214]. NACT can also reduce the risk of disease recurrence and death in patients without affecting reproductive functions while avoiding radiation-related complications [15]. In a phase III trial focused on NACT and radical hysterectomy versus radiotherapy for bulky early-stage cervical cancer, these two treatment modalities showed similar efficacies for bulky stage IB or IIA cervical cancer [10]. Therefore, based on these findings, NACT might represent a better treatment choice for young patients with locally advanced cervical carcinoma in order to preserve ovarian function. However, very few studies have compared details of the response to neoadjuvant chemotherapy between young and older patients, and no prospective study has focused solely on the outcomes of neoadjuvant chemotherapy in young patients [16]. As a result, whether young patients (≤35 years) with NACT have better outcomes than their older (>35 years) counterparts in terms of efficacy, tolerance, and survival following this treatment remains controversial.

In this study, we compared the clinicopathological factors and clinical responses to neoadjuvant chemotherapy between young and older cervical cancer patients. Simultaneously, we compared the survival rates among different subgroups divided according to age and response to neoadjuvant chemotherapy. We aimed to analyze the relationship between patient age and the response to neoadjuvant chemotherapy and whether patients in different age groups experience different levels of benefit from neoadjuvant chemotherapy.

Patients and Methods

Patients

All patients were retrospectively selected from the cervical cancer database v1.10 (http://clinicaltrials.gov; NCT01267851), which includes a total of 10,897 patients. This study was approved by the Ethics Committee of Huazhong University of Science and Technology, and all the participants provided their written consent to participate in this study.

The eligibility criteria were as follows: patients with squamous cell or adenosquamous carcinoma or adenocarcinoma of the cervix; patients with stage IB1–IIB disease according to the Federation of Gynecology and Obstetrics (FIGO) [17]; patients treated with NACT followed by radical hysterectomy; patients who did not receive primary radiotherapy or other treatment; and patients without renal, pulmonary, hepatic, bone marrow, or cardiac dysfunction.

A total of 1,014 patients were selected for this study (S1 Fig). All of these patients were treated between January 2002 and December 2008. For the analysis, we divided the patients into a young group (age ≤35) and an older group (age >35) [18, 19]. There were 177 women in the young group and 837 in the older group.

NACT

Most of the patients in this study received platinum-based neoadjuvant chemotherapy. Generally, patients with early-stage disease and large tumor size (>4 cm) were considered to receive neoadjuvant chemotherapy. Some patients with FIGO stage IIB disease (tumor size >2 cm) could be treated with neoadjuvant chemotherapy followed by radical hysterectomy. The other patients treated with neoadjuvant chemotherapy were selected based on the doctors’ comprehensive judgment. The NACT regimens used in our study are summarized in S1 Table. The treatment was repeated at three-week intervals for a total of one to three cycles, based on patient tolerance and response. Several patients with a good response received additional courses of treatment.

Monitoring the tumor response

The response to NACT was evaluated by comparing the tumor size at the initial diagnosis and after neoadjuvant chemotherapy. The tumor diameter was evaluated by a comprehensive combination of magnetic resonance imaging, computed tomography, B-ultrasonography results, and gynecologic examination. We multiplied the longest diameter by the greatest perpendicular diameter to obtain the approximate surface area for a single tumor; we also added the products of the diameters of all measured lesions if multiple lesions were found in a single organ. The response to chemotherapy was defined as a complete response (CR), a partial response (PR), stable disease (SD), or progressive disease (PD) according to the World Health Organization (WHO) criteria [20], where CR indicates a complete disappearance of all clinically detectable disease, PR indicates a 50% or more decrease in tumor size, SD indicates less than a 50% reduction in tumor size, and PD indicates an increase in tumor volume or the appearance of new lesions.

Postoperative treatment

In our study, the postoperative therapy was not specified. Patients were followed up and treated with radiotherapy or chemotherapy according to the criteria of each hospital.

Follow-up study

After the completion of treatment, patients were regularly followed-up every 3 months during the first year and then every 6 months thereafter. A small proportion of patients who were lost to follow-up were included in the survival data.

Statistical processing

A chi-square test, an independent t-test, and Fischer’s exact test were used to compare various clinicopathological factors among the groups. Disease-free survival (DFS) and overall survival (OS) were estimated by Kaplan–Meier analysis. A log-rank test was used to compare survival curves. A value of P<0.05 was considered to be statistically significant. All of the statistical analyses were performed using SPSS software, version 13.0 (SPSS, Inc., Chicago, IL).

Results

1. Patient characteristics

Baseline characteristics of the 1,014 patients in our study are provided in Table 1. Patient age ranged from 22 to 69 years, with a median age of 43 years. In total, 177 patients (17.5%) were aged 35 years or younger. Compared with patients over 35 years old, the young patients (≤35 years) had a lower proportion of advanced (IIA-IIB) FIGO stage disease (46.3% versus 61.6%, P<0.001), a higher rate of adenosquamous carcinoma or adenocarcinoma histology (15.3% versus 9.4%, P = 0.022), and a higher rate of lymph node metastasis (28.4% versus 20.8%, P = 0.033). However, no significant differences in differentiation, tumor size, NACT cycles, parametrial invasion, deep stromal invasion, or lymphovascular space invasion were found between the young and older patients.

Table 1. Comparison of the clinicopathological factors between young and older patients.

Age (years)
No. ≤35 >35 P
Patient number 1014 177 (17.5%) 837 (82.5%)
FIGO stage
 IB1 154 40 (22.6%) 114 (13.6%) <0.001a
 IB2 262 55 (31.1%) 207 (24.7%)
 IIA 275 37 (20.9%) 238 (28.4%)
 IIB 323 45 (25.4%) 278 (33.2%)
 IB1-IB2 416 95 (53.7%) 321 (38.4%) <0.001
 IIA-IIB 598 82 (46.3%) 516 (61.6%)
Histological types
 Squamous cell carcinoma 908 150 (84.7%) 758 (90.6%) 0.022
 Adenocarcinomab 106 27 (15.3%) 79 (9.4%)
Differentiation degree
 Low grade 208 37 (21.6%) 171 (21.3%) 0.927
 High + Intermediate grade 765 134 (78.4%) 631 (78.7%)
Tumor size
 ≤4 cm 396 73 (41.2%) 323 (38.6%) 0.511
 >4 cm 618 104 (58.8%) 514 (61.4%)
Parametrial invasion
 Negative 922 160 (90.4%) 762 (91.0%) 0.786
 Positive 92 17 (9.6%) 75 (9.0%)
Lymphovascular space invasion
 Negative 914 158 (89.3%) 756 (90.3%) 0.668
 Positive 100 19 (10.7%) 81 (9.7%)
Lymph node metastases
 Negative 779 126 (71.6%) 653 (78.0%) 0.033
 Positive 224 50 (28.4%) 174 (20.8%)
Deep stromal invasion
 Negative 638 111 (62.7%) 527 (63.0%) 0.950
 Positive 376 66 (37.3%) 310 (37.0%)
NACT cycles
 1 629 100 (61.3%) 529 (67.7%) 0.250a
 2 290 59 (36.2%) 231 (29.6%)
 ≥3 25 4 (2.5%) 21 (2.7%)

a P values were calculated with a linear-by-linear association chi-square test.

b Adenocarcinoma and adenosquamous carcinoma were included.

NACT, neoadjuvant chemotherapy.

2. Prognostic factors analysed by Cox proportional hazard models

Cox proportional hazard models were used to identify the prognostic factors for survival. An adenosquamous carcinoma or adenocarcinoma histological type (P = 0.024) and lymph node metastases (P<0.001) were identified as independent risk factors for survival (Table 2), both of which were more frequently found in patients aged 35 years or younger than in patients over 35 (Table 1).

Table 2. Multivariate analysis by Cox proportional hazard models for all patients.

Hazard ratio 95% CI P
Histological types
 Squamous cell carcinoma 1.000
 Adenocarcinomaa 1.887 1.086–3.278 0.024
Lymph node metastases
 Negative 1.000
 Positive 2.789 1.842–4.225 <0.001
Age
 ≤35 1.000
 >35 1.204 0.717–2.021 0.483

a Adenocarcinoma and adenosquamous carcinoma were included.

3. Response to NACT

The response to NACT by age group is listed in Table 3. The overall response (CR + PR) rate of the young patients was higher than that of the older patients, although the difference was not significant (86.8% versus 80.9%, P = 0.070). Additionally, young patients were more sensitive to NACT than were older patients among patients with an earlier (IB1-IB2) FIGO stage (91.2% versus 82.8%, P = 0.050) and among patients with cervical squamous cell carcinoma (88.0% versus 80.8%, P = 0.041). The young group showed a significantly better clinical response than did the older group (93.2% versus 81.8%, P = 0.018) among patients with stage IB1-IB2 and squamous cell carcinoma, as shown in Table 4. However, no significant difference was found in the response to NACT between the young group and older group when stratified by the presence of lymph node metastasis (Table 3).

Table 3. Clinical response to NACT between the two age groups.

Age
≤35 >35
No. % No. % Pa
Total
 CR 17 10.2 77 9.9
 PR 128 76.6 553 71
 CR+PR 145 86.8 630 80.9 0.070b
 SD+PD 22 13.2 149 19.1
FIGO stage
 IB1-IB2
  CR+PR 83 91.2 250 82.8 0.050
  SD+PD 8 8.8 52 17.2
 IIA-IIB
  CR+PR 62 81.6 380 79.7 0.699
  SD+PD 14 18.4 97 20.3
Histological types
 Squamous cell carcinoma
  CR+PR 125 88.0 573 80.8 0.041
  SD+PD 17 12.0 136 19.2
 Adenocarcinomac
  CR+PR 20 80.0 57 81.4 0.876
  SD+PD 5 20.0 13 18.6
Lymph node metastases
 Negative
  CR+PR 106 88.3 515 83.7 0.204
  SD+PD 14 11.6 100 16.3
 Positive
  CR+PR 39 83.0 115 70.1 0.080
  SD+PD 8 17.0 49 29.9

CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease.

a P value was calculated using the chi-square test.

b P value was calculated by comparing the CR+PR group and the SD+PD group.

c Adenocarcinoma and adenosquamous carcinoma were included.

Table 4. Clinical response to NACT between the two age groups in patients with stage IB1-IB2 and squamous carcinoma.

IB1-IB2
≤35 >35 Pa
Squamous cell carcinoma
 CR+PR 68 (93.2%) 220 (81.8%) 0.018
 SD+PD 5 (6.8%) 49 (18.2%)

NACT, neoadjuvant chemotherapy; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease.

a P value was calculated using the chi-square test.

4. Survival analysis

Follow-up information was available for 807 (79.6%) of the 1014 total patients. The median duration of follow-up was 38 months (range: 2–110 months). Comparable five-year OS rates (79.9% versus 78.3%; P = 0.791) and DFS rates (77.9% versus 74.0%; P = 0.867) were found between the young and older groups (S2A and S2B Fig). Compared with the clinical non-responders, the clinical responders showed an increased DFS rate (P = 0.011; S2D Fig) and an improved OS rate (P = 0.065; S2C Fig), although the difference in OS was not significant.

Next, the clinical responders and clinical non-responders were stratified by age. As shown in Fig 1A and 1B, among patients aged 35 years or younger, the clinical responders had an increased five-year OS (82.6% versus 71.8%; P = 0.003) and five-year DFS (80.1% versus 71.8%; P = 0.019) compared with clinical non-responders. However, among patients over 35, the five-year OS rate (79.3% versus 80.2%; P = 0.439) and five-year DFS rate (75.5% versus 72.7%; P = 0.072) of the clinical responders were not significantly better than those of the clinical non-responders (Fig 1C and 1D). Compared with the other three subgroups, young non-responders showed the worst five-year OS rate (P = 0.020; Fig 2A) and the worst five-year DFS rate (P = 0.037; Fig 2B). When the clinicopathological factors were compared among the four subgroups (S2 Table), young non-responders showed the highest rate of adenocarcinoma (22.7%), lowest rate of differentiation (68.2%), highest rate of tumor size >4 cm (77.3%), highest rate of parametrial invasion (27.3%), highest rate of lymphovascular space invasion (59.1%), highest rate of lymph node metastasis (36.4%), and second highest rate of patients with an advanced FIGO stage (63.6%). When these four subgroups were stratified by FIGO stage, young non-responders showed the lowest five-year OS rate (P<0.001) and the lowest five-year DFS rate (P = 0.001) among patients with an advanced FIGO stage (Fig 2E and 2F) but not among patients with an early FIGO stage (Fig 2C and 2D). When we compared survival among the four subgroups in patients with squamous cell carcinoma and FIGO stage IIA-IIB disease, the DFS and OS rates of the young responders were higher than those of the other three subgroups, while the DFS (P<0.001) and OS (P<0.001) rates of the young non-responders were lower than those of the other three subgroups (S3 Fig).

Fig 1. Overall survival and disease-free survival compared between clinical responders and clinical non-responders in different age groups.

Fig 1

(A-B): The comparison of OS and DFS between clinical responders and clinical non-responders among patients aged 35 years or younger; (C-D): The comparison of OS and DFS between clinical responders and clinical non-responders among patients aged >35 years.

Fig 2. Overall survival and disease-free survival compared among patients of different subgroups.

Fig 2

(A-B): The comparison of OS and DFS among the young responders subgroup, young non-responders subgroup, older responders subgroup, and older non-responders subgroup. (C-D): The comparison of OS and DFS among the young responders subgroup, young non-responders subgroup, older responders subgroup, and older non-responders subgroup among patients with FIGO stage IB1-IB2 disease. (E-F): The comparison of OS and DFS among the young responders subgroup, young non-responders subgroup, older responders subgroup, and older non-responders subgroup among patients with FIGO stage IIA-IIB disease.

Discussion

Age is not clearly associated with the specific response to NACT in patients with cervical cancer. Although many investigators have assessed the association of age with the outcome of NACT patients [21], only a few studies have investigated patients ≤35 years of age [16]. Age thus remains a somewhat controversial topic with regard to its potential role as a predictive factor. The goal of this report was to evaluate the role of age and the efficacy of NACT in patients with cervical cancer.

Several studies have reported that compared with older patients, young patients had a higher proportion of non-SCC (squamous cell carcinoma) tumors and an earlier FIGO stage; they also showed a higher rate of lymph node metastasis than did older patients [5, 22]. Consistent with earlier reports, the present study also indicated that women aged 35 years or younger were significantly more likely than older patients to have adenocarcinoma. Adenocarcinoma generally tends to have earlier lymph node metastasis and to be less sensitive to chemotherapy than its squamous cell counterpart [23, 24]. Although younger age was not found to be an independent prognostic factor in the present study, the adenocarcinoma histological type and the presence of lymph node metastasis were found to be independent risk factors for poor survival (Table 2), both of which were associated with a younger age.

The overall response rate of young patients was slightly higher than that of older patients (Table 3). In a more in-depth analysis, our results clarified that in patients with stage IB1-IB2 disease and squamous cell carcinoma, the young patients had a better response than the older patients (Table 3). Bamias et al. reported that age was a significant predictor of the response rate when assessed as a continuous variable in a univariate model but was no longer considered an independent prognostic factor when assessed with other pretreatment variables in multivariate regression analysis [25]. In the current study, age remained a significant factor for the response rate within the earlier FIGO stage group and the squamous cell carcinoma group (Table 3). These findings suggest that young patients, especially those with earlier stage disease and the squamous cell histological type, tend to be more sensitive than older patients to NACT.

With regard to the survival rates, we did not find any significant differences between young and older patients. However, compared with non-responders, the five-year DFS and OS rates of responders were significantly increased among the young patients (Fig 1A and 1B), while the difference in the OS rates between responders and non-responders was not significant among the older patients (Fig 1C and 1D). When age and the response to NACT were considered simultaneously, the young responders had a significantly better OS rate compared with the other three subgroups, and the young non-responders had dramatically worse DFS and OS rates compared with the other three subgroups. The above findings were more significant among patients with an advanced FIGO stage (Fig 2E and 2F) but were not present among patients with an earlier FIGO stage. We also found that compared with the other three subgroups, young non-responders were more likely to have many poor clinicopathological factors. These results indicate that the response to NACT may affect young patients more strongly than older patients in terms of OS. OS was significantly prolonged by a favorable response to NACT in the young responders, while older responders still had poor outcomes.

The appropriate selection of patients who will benefit most from NACT is crucial. Our present findings indicate that young patients with an earlier FIGO stage and SCC showed a more favorable response than older patients. Young responders also had a better prognosis than young non-responders and older patients with stage IIA-IIB disease, while no difference was found between responders and non-responders among the older patients. These findings indicated that the OS of young patients was more strongly affected by NACT than was that of older patients. Our findings also suggested that NACT non-responders were unsuitable for NACT, especially among the young patients. However, no effective method is currently available to identify non-responders before NACT is performed. Additional studies are required to identify markers for the response to NACT. Future clinical studies should take age-related effects into consideration. Age-related effects may be helpful to predict which patients are likely to benefit from NACT and to avoid delaying the administration of effective treatment in patients who are unlikely to respond. Due to the limitations of retrospective studies, the neoadjuvant chemotherapy regimens before surgery and the treatments after surgery were varied. More detailed information that could be used to direct the choice of treatment regimens should be collected. Additional studies are required to validate the results of the present study.

Supporting Information

S1 Fig. Patient selection in the present study.

(TIF)

S2 Fig. Overall survival and disease-free survival compared between the young group and the older group.

(A-B): The comparison of OS and DFS between the young group and the older group; (C-D): The comparison of OS and DFS between clinical responders and clinical non-responders.

(TIF)

S3 Fig. Overall survival and disease-free survival among patients of different subgroups.

(A-B): The comparison of OS and DFS among the young responders subgroup, young non-responders subgroup, older responders subgroup, and older non-responders subgroup among patients with squamous cell carcinoma and FIGO stage IIA-IIB disease.

(TIF)

S1 Table. The chemotherapy regimen used in this study.

(DOCX)

S2 Table. Comparison of the clinicopathological factors among patients in subgroups divided by age and the clinical response to NACT.

(DOCX)

Acknowledgments

We would like to thank all the participants recruited for this study. We would also like to thank Yile Chen, Shaoshuai Wang, Li Wu, Xiaobing Han, Xiaodong Cheng, Zhongqiu Lin, Hui Xing, Pengpeng Qu, Hongbing Cai, Xiaojie Song, Changyu Wang, Xiaoyu Tian, Hongbing Xu, Ling Xi, Dongrui Deng, Weiguo Lv, Shixuan Wang and Xing Xie. We appreciate the cooperation of all the participating institutions.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This study was endorsed by the Key Basic Research and Development Program Foundation of China (973 Program; No. 2015CB553903) and was supported by grants from the NationalNatural Science Foundation of China (NO. 91529102; 81572571; 81402160; 81302267; 81230038; 81230052; 30973472; 81001151;81071663; 30973205; 30973184; 81090414; 81272422; 81172464; 81101964).

References

  • 1.GLOBACAN 2012 database, Cervical Cancer Incidence and Mortality Worldwide in 2012 Summary, World Health Organisation. Available at http://globocan.iarc.fr/Pages/fact_sheets_cancer.aspx.
  • 2.Cai HB, Liu XM, Huang Y, Li XN, Lie DM, Zhou Q, et al. Trends in cervical cancer in young women in Hubei, China. Int J Gynecol Cancer. 2010;20:1240–3. [DOI] [PubMed] [Google Scholar]
  • 3.Li S, Hu T, Lv W, Zhou H, Li X, Yang R, et al. Changes in prevalence and clinical characteristics of cervical cancer in the People's Republic of China: a study of 10,012 cases from a nationwide working group. Oncologist. 2013;18:1101–7. 10.1634/theoncologist.2013-0123 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Hall SW, Monaghan JM. Invasive carcinoma of the cervix in younger women. Lancet. 1983;2:731. [DOI] [PubMed] [Google Scholar]
  • 5.Lau HY, Juang CM, Chen YJ, Twu NF, Yen MS, Chao KC. Aggressive characteristics of cervical cancer in young women in Taiwan. Int J Gynaecol Obstet. 2009;107:220–3. 10.1016/j.ijgo.2009.07.029 [DOI] [PubMed] [Google Scholar]
  • 6.Poka R, Juhasz B, Lampe L. Cervical cancer in young women: a poorer prognosis? Int J Gynaecol Obstet. 1994;46:33–7. [DOI] [PubMed] [Google Scholar]
  • 7.Chemoradiotherapy for Cervical Cancer Meta-Analysis C. Reducing uncertainties about the effects of chemoradiotherapy for cervical cancer: a systematic review and meta-analysis of individual patient data from 18 randomized trials. J Clin Oncol. 2008;26:5802–12. 10.1200/JCO.2008.16.4368 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Buda A, Lissoni AA, Floriani I, Biagioli E, Gerardi C, Bonazzi C, et al. Long-Term Clinical Benefits of Neoadjuvant Chemotherapy in Women With Locally Advanced Cervical Cancer: Validity of Pathological Response as Surrogate Endpoint of Survival. Int J Gynecol Cancer. 2015;25:1468–75. [DOI] [PubMed] [Google Scholar]
  • 9.Wen H, Wu X, Li Z, Wang H, Zang R, Sun M, et al. A prospective randomized controlled study on multiple neoadjuvant treatments for patients with stage IB2 to IIA cervical cancer. Int J Gynecol Cancer. 2012;22:296–302. [DOI] [PubMed] [Google Scholar]
  • 10.Chang TC, Lai CH, Hong JH, Hsueh S, Huang KG, Chou HH, et al. Randomized trial of neoadjuvant cisplatin, vincristine, bleomycin, and radical hysterectomy versus radiation therapy for bulky stage IB and IIA cervical cancer. J Clin Oncol. 2000;18:1740–7. [DOI] [PubMed] [Google Scholar]
  • 11.Hu T, Li S, Chen Y, Shen J, Li X, Huang K, et al. Matched-case comparison of neoadjuvant chemotherapy in patients with FIGO stage IB1-IIB cervical cancer to establish selection criteria. Eur J Cancer. 2012;48:2353–60. 10.1016/j.ejca.2012.03.015 [DOI] [PubMed] [Google Scholar]
  • 12.Katsumata N, Yoshikawa H, Kobayashi H, Saito T, Kuzuya K, Nakanishi T, et al. Phase III randomised controlled trial of neoadjuvant chemotherapy plus radical surgery vs radical surgery alone for stages IB2, IIA2, and IIB cervical cancer: a Japan Clinical Oncology Group trial (JCOG 0102). Br J Cancer. 2013;108:1957–63. 10.1038/bjc.2013.179 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.deSouza NM, Soutter WP, Rustin G, Mahon MM, Jones B, Dina R, et al. Use of neoadjuvant chemotherapy prior to radical hysterectomy in cervical cancer: monitoring tumour shrinkage and molecular profile on magnetic resonance and assessment of 3-year outcome. Br J Cancer. 2004;90:2326–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Benedetti-Panici P, Greggi S, Colombo A, Amoroso M, Smaniotto D, Giannarelli D, et al. Neoadjuvant chemotherapy and radical surgery versus exclusive radiotherapy in locally advanced squamous cell cervical cancer: results from the Italian multicenter randomized study. J Clin Oncol. 2002;20:179–88. [DOI] [PubMed] [Google Scholar]
  • 15.Chen H, Liang C, Zhang L, Huang S, Wu X. Clinical efficacy of modified preoperative neoadjuvant chemotherapy in the treatment of locally advanced (stage IB2 to IIB) cervical cancer: randomized study. Gynecol Oncol. 2008;110:308–15. 10.1016/j.ygyno.2008.05.026 [DOI] [PubMed] [Google Scholar]
  • 16.Huang HJ, Chang TC, Hong JH, Tseng CJ, Chou HH, Huang KG, et al. Prognostic value of age and histologic type in neoadjuvant chemotherapy plus radical surgery for bulky (>/ = 4 cm) stage IB and IIA cervical carcinoma. Int J Gynecol Cancer. 2003;13:204–11. [DOI] [PubMed] [Google Scholar]
  • 17.Pecorelli S, Zigliani L, Odicino F. Revised FIGO staging for carcinoma of the cervix. Int J Gynaecol Obstet. 2009;105:107–8. 10.1016/j.ijgo.2009.02.009 [DOI] [PubMed] [Google Scholar]
  • 18.Kokawa K, Takekida S, Kamiura S, Kita M, Enomoto T, Kawaguchi R, et al. The incidence, treatment and prognosis of cervical carcinoma in young women: a retrospective analysis of 4,975 cases in Japan. Eur J Gynaecol Oncol. 2010;31:37–43. [PubMed] [Google Scholar]
  • 19.Wang J, Wang T, Yang YY, Chai YL, Shi F, Liu ZI. Patient age, tumor appearance and tumor size are risk factors for early recurrence of cervical cancer. Mol Clin Oncol. 2015;3:363–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.World Health Organization. WHO handbook for reporting results of cancer treatment. Geneva: WHO, Offset publication no.48; 1979. p. 16–21. [Google Scholar]
  • 21.Aoki Y, Tomita M, Sato T, Watanabe M, Kase H, Fujita K, et al. Neoadjuvant chemotherapy for patients younger than 50 years with high-risk squamous cell carcinoma of the cervix. Gynecol Oncol. 2001;83:263–7. [DOI] [PubMed] [Google Scholar]
  • 22.Stanhope CR, Smith JP, Wharton JT, Rutledge FN, Fletcher GH, Gallager HS. Carcinoma of the cervix: the effect of age on survival. Gynecol Oncol. 1980;10:188–93. [DOI] [PubMed] [Google Scholar]
  • 23.Lai CH, Hsueh S, Hong JH, Chang TC, Tseng CJ, Chou HH, et al. Are adenocarcinomas and adenosquamous carcinomas different from squamous carcinomas in stage IB and II cervical cancer patients undergoing primary radical surgery? Int J Gynecol Cancer. 1999;9:28–36. [DOI] [PubMed] [Google Scholar]
  • 24.Look KY, Blessing JA, Valea FA, McGehee R, Manetta A, Webster KD, et al. Phase II trial of 5-fluorouracil and high-dose leucovorin in recurrent adenocarcinoma of the cervix: a Gynecologic Oncology Group study. Gynecol Oncol. 1997;67:255–8. [DOI] [PubMed] [Google Scholar]
  • 25.Bamias A, Efstathiou E, Moulopoulos LA, Gika D, Hamilos G, Zorzou MP, et al. The outcome of elderly patients with advanced urothelial carcinoma after platinum-based combination chemotherapy. Ann Oncol. 2005;16:307–13. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Fig. Patient selection in the present study.

(TIF)

S2 Fig. Overall survival and disease-free survival compared between the young group and the older group.

(A-B): The comparison of OS and DFS between the young group and the older group; (C-D): The comparison of OS and DFS between clinical responders and clinical non-responders.

(TIF)

S3 Fig. Overall survival and disease-free survival among patients of different subgroups.

(A-B): The comparison of OS and DFS among the young responders subgroup, young non-responders subgroup, older responders subgroup, and older non-responders subgroup among patients with squamous cell carcinoma and FIGO stage IIA-IIB disease.

(TIF)

S1 Table. The chemotherapy regimen used in this study.

(DOCX)

S2 Table. Comparison of the clinicopathological factors among patients in subgroups divided by age and the clinical response to NACT.

(DOCX)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES