Literature DB >> 33593091

A Multi-Institutional Retrospective Analysis of Oncologic Outcomes for Patients With Locally Advanced Cervical Cancer Undergoing Platinum-Based Adjuvant Chemotherapy After Concurrent Chemoradiotherapy.

Ning Wu1, Xing Su2, Honglin Song3, Ying Li4, Fei Gu5, Xiaoge Sun6, Xiaofan Li2, Guanghui Cheng1.   

Abstract

OBJECTIVE: To evaluated the oncologic outcomes associated with platinum-based adjuvant chemotherapy following concurrent chemoradiotherapy (CCRT) in the management of patients with locally advanced cervical cancer (LACC).
METHODS: A total of 695 patients with FIGO stage IB2, IIA2, IIB-IVA LACC treated at 6 medical facilities were enrolled and divided into 2 groups: 478 were assigned to CCRT alone (CCRT group) and 217 to adjuvant chemotherapy after CCRT (CCRT-ACT group). The treatment outcomes were retrospectively compared and reported after the propensity score matching (PSM) analysis.
RESULTS: With a median follow-up of 56.4 months, no statistically significant differences were found in overall survival (OS), disease-free survival (DFS), progression-free survival (PFS) and distance metastasis-free survival (DMFS) between 2 groups. In CCRT-ACT group, patients with lymph nodes involvement or squamous cell carcinoma (SCC) had significantly longer DMFS, but no significant benefit in survival outcomes were observed with more than 2 cycles of adjuvant chemotherapy. Moreover, patients with a high level of CA125 (>20.5U/mL) or SCC-Ag (>22.8μg/L) had a relatively better DFS or PFS, and grade 3-4 acute hematological toxicity, late urinary and lower gastrointestinal complications and diarrhea symptom were more frequent in CCRT-ACT group.
CONCLUSIONS: Adjuvant chemotherapy after CCRT has a potential role in further improving disease control for LACC patients with lymph nodal-metastasis or SCC with a high level of CA125 or SCC-Ag. Due to increased treatment-related complications and diarrhea symptom affecting the quality of life, post-CCRT adjuvant chemotherapy with excessive cycles was not be considered as the most appropriate choice in general.

Entities:  

Keywords:  adjuvant chemotherapy; concurrent chemoradiotherapy; locally advanced stage; prognosis; uterine cervical cancer

Mesh:

Substances:

Year:  2021        PMID: 33593091      PMCID: PMC8482744          DOI: 10.1177/1073274821989307

Source DB:  PubMed          Journal:  Cancer Control        ISSN: 1073-2748            Impact factor:   3.302


Introduction

Cervical cancer is a major health problem among a global female population. According to the World Health Organization, cervical cancer is the fourth most common cancer and the fourth leading cause of cancer-related mortality in women worldwide. Approximately 570,000 new patients were estimated to be diagnosed in 2018 representing 6.6% of all female cancers, with 311,000 deaths projected; more than 85% of these deaths occurring in low- and middle-income countries.[1] In developing countries like China, patients usually present with locally advanced stages.[2] Currently, concurrent chemoradiotherapy (CCRT) is recommended as the standard treatment strategy for locally advanced cervical cancer (LACC) due to its effectiveness in improving local control and reducing distant metastasis based on the encouraging results from several randomized trials.[3] Although the use of combining chemotherapy with radiation has a therapeutic advantage over radiotherapy alone, about 30%-40% of patients with LACC failed to achieve a complete response to CCRT, and even experienced tumor relapse or distant metastasis after treatment.[4] While several studies pertaining to adjuvant chemotherapy after CCRT in cases of LACC are available,[5-7] survival benefit from the addition of adjuvant chemotherapy to CCRT in patients with LACC remains unclear. This retrospective clinical study was performed to report outcomes following platinum-based adjuvant chemotherapy after CCRT for LACC at multiple institutions.

Materials and Methods

Patients

We retrospectively analyzed 695 patients with 2009 International Federation of Gynecology and Obstetrics (FIGO) stage IB2, IIA2, IIB-IVA cervical cancer who were treated with definitive radiotherapy between 2007 and 2016 at 1 of 6 hospitals. Patient charts were reviewed for clinicopathological information from existing medical report and follow-up data. None of the patients underwent prior treatment. Pre-treatment diagnostic evaluation consisted of a gynecological examination and a panel of laboratory and radiological tests (including computed tomographic/magnetic resonance imaging scan of the abdomen and pelvis, or positron emission tomography/computed tomography whenever possible). Eligibility criteria included: age < 75 years, Karnofsky performance status (KPS) scale ≥ 60, normal cardiovascular function, normal blood cell counts, and normal serum levels of blood urea nitrogen, creatinine, and bilirubin. The therapeutic regimen among these patients was CCRT alone (CCRT group), and CCRT plus adjuvant chemotherapy (CCRT-ACT group).

Treatment Schedule

All patients underwent definitive radiotherapy with a combination of pelvic external beam radiotherapy (EBRT) and high-dose-rate (HDR) intracavitary brachytherapy (ICBT). The pelvic EBRT at a total dose of 45 Gy-50.4 Gy was delivered using 3-dimensional conformal radiotherapy (3D CRT) technique or intensity-modulated radiotherapy (IMRT) technique. Four to 6 fractions of HDR ICBT (once a week) with a prescribed dose of 7-5 Gy were given at high-risk clinical target volume (CTVhr). The details of the radiotherapy were previously described.[8] The concurrent chemotherapy was given weekly with intravenous cisplatin 30-40 mg/m2 for 5 weeks during EBRT in all inclusion patients. In addition, a small number of patients having either pelvic/para-aortic lymph nodes involvement or local residual tumor were treated with the additional cycles of adjuvant chemotherapy after CCRT, depending on patient tolerance and response. The platinum-based adjuvant chemotherapy was administered every 3 weeks following CCRT. A combination regimen was paclitaxel (175 mg/m2 on day 1) combined with either cisplatin (50 mg/m2 on day 1) or carboplatin (AUC 5 on day 1).

Follow-Up Study

Before each cycle of treatment, a physical examination and routine hematologic analysis were conducted. After completing the whole protocol treatment, the disease status and the treatment-related toxic effects were evaluated by the routine work-up at the discretion of the attending physician every 3 months in the first year of follow-up, every 4-5 months in the second year, and every 6 months thereafter. In patients in whom regular follow-up information was not available, an effort was made to contact them by telephone or correspondence to obtain this information. Local recurrence and distant metastasis were calculated according to the follow-up examination results by imaging diagnosis and pathological biopsy. Late treatment-related complications were assessed according to the Radiation Therapy Oncology Group (RTOG) criteria. Quality of life (QoL) in patients was surveyed using the European Organization for Research and Treatment of Cancer quality of life questionnaire version 3 (EORTC QLQ-C30 V3.0).

Statistical Analysis

In this retrospective study, the propensity score matching (PSM) was used to remove the effects of confounding due to measured baseline covariates when using observational data to estimate the effects of treatment. The matching covariates included Karnofsky performance status, lymph nodes status, histological subtypes, and FIGO stage were selected based on prior literature reports and known clinically prognostic factors. Categorical variables are presented as frequencies and percentages, and continuous variables are expressed as the median with range. The frequency distributions of clinicopathological parameters were compared between groups using Chi-square or Fisher’s exact tests. The probabilities of overall survival (OS), disease-free survival (DFS), progression-free survival (PFS) and distance metastasis-free survival (DMFS) were estimated by the Kaplan-Meier method and compared using log-rank test. Univariate and multivariate analyses were performed using the Cox proportional hazards regression model. The statistically significant variables in univariate analyses were included in the stepwise regression for multivariate analyses. Probit models were used for testing relationships for prognostic factors and the probability of survival. All statistical analyses were performed using SPSS for Windows version 18.0 (SPSS Inc., Chicago, IL, USA). All reported P-values were 2-sided, and P-values < 0.05 was considered to be statistically significant.

Ethical Statement

This retrospective study was registered with the Chinese Clinical Trial Registry (ChiCTR-PRC-16008822). All procedures performed in studies involving human participants were in accordance with the ethical standards of the independent Ethical Committee/Institutional Review Board of Jilin University (20160621) and conducted in accordance with the Declaration of Helsinki. Informed consent was waived due to the retrospective format of this study.

Results

Patient Characteristics

The baseline demographic and clinicopathological characteristics of these patients before and after PSM are shown in Table 1. Of the total patients before matching, the mean age at diagnosis was 52.0 years old (range 26-74), and 615 (88.5%) were histologically diagnosed with squamous cell carcinoma (SCC). Forty-two patients (6.1%) were staged as IB2, 88 patients (12.7%) as IIA2, 420 patients (60.4%) as IIB, 28 patients (4.0%) as IIIA, 105 patients (15.1%) as IIIB, and 12 patients (1.7%) as IVA. After completion of the treatment, CCRT group consisted of 478 patients who were treated with CCRT alone, whereas CCRT-ACT group was composed of 217 patients who received CCRT plus adjuvant chemotherapy. PSM analysis with 2: 1 matching was performed, 406 patients in CCRT group and 203 patients in CCRT-ACT group were included in the final analysis. The baseline characteristics of the 2 groups were well balanced and superimposable in all selected clinical characteristics.
Table 1.

Baseline Characteristics of the Patients Included in This Study.

CharacteristicsBefore PSMAfter PSM
CCRT groupCCRT-ACT groupP-valueCCRT groupCCRT-ACT groupP-value
Number of patients478217406203
Age (years)0.2010.421
 Median52.053.553.053.5
 Range26-7331-7430-7332-73
Karnofsky performance status0.2450.350
 Median80808080
 Range70-10060-10070-10060-100
Lymph node metastasis0.0770.482
 Negative332136267128
 Positive1468113975
Histological subtypes0.1260.785
 Squamous cell carcinoma428187362179
 Adenocarcinoma165125
 Others34253219
FIGO stage0.4330.781
 IB223192318
 IIA264244523
 IIB289131249122
 IIIA199178
 IIIB75306428
 IVA8484
HDR brachytherapy0.1260.220
 7 Gy×4 f1989218387
 6 Gy×5 f2158417577
 5 Gy×6 f65415839
Baseline Characteristics of the Patients Included in This Study.

Treatment Outcome and Survival Analysis

The median follow-up duration was 56.4 months (range 3.6-132.2). In the propensity matched cohort, Kaplan-Meier estimates comparing therapeutic regimens in total patients are illustrated in Figure 1. In patients of CCRT and CCRT-ACT groups, the 1/3/5-year OS rate was 95.8%/84.7%/80.0% and 99.0%/87.2%/80.8%; the 1/3/5-year DFS rate was 88.9%/79.8%/75.4% and 93.1%/80.3%/74.9%; the 1/3/5-year PFS rate was 88.7%/79.6%/74.1% and 92.6%/79.8%/73.4%; and the 1/3/5-year DMFS rate was 91.4%/87.7%/86.9% and 95.1%/88.2%/87.2%. The 2 groups of patients did not significantly differ in OS, DFS, PFS and DMFS (log-rank P = 0.438, 0.499, 0.438 and 0.231, respectively). For those patients with later stages, including tumor extending to the pelvic wall (IIIB) and invading adjacent organs (IVA), no statistically significant difference in outcomes was found between CCRT and CCRT-ACT groups (5-year OS: 73.6% and 87.5%, P = 0.117; DFS: 72.2% and 84.4%, P = 0.173; PFS: 62.5% and 71.9%, P = 0.267; DMFS: 91.7% and 90.6%, P = 0.118, respectively) (Supplementary Figure 1). As demonstrated in Supplementary Figure 2, adjuvant chemotherapy after CCRT played a role in DMFS compared with CCRT alone when evaluating patient outcomes for positive pelvic or para-aortic lymph nodes (5-year DMFS: 93.3% and 82.0%, P = 0.035).
Figure 1.

Kaplan-Meier survival estimates of (A) OS, (B) DFS, (C) PFS and (D) DMFS for LACC patients after PSM.

Kaplan-Meier survival estimates of (A) OS, (B) DFS, (C) PFS and (D) DMFS for LACC patients after PSM. We also carried out a subgroup analysis and investigated the survival in LACC patients only with SCC. The CCRT-ACT group had a similar 1/3/5-year OS rate (98.9%/88.9%/83.2% for CCRT-ACT, and 97.2%/87.6%/82.3% for CCRT, P = 0.443), DFS rate (93.3%/81.6%/76.5% for CCRT-ACT, and 91.7%/82.0%/77.1% for CCRT, P = 0.867) and PFS rate (92.7%/81.0%/75.4% for CCRT-ACT, and 91.7%/82.0%/76.0% for CCRT, P = 0.727) compared to CCRT group. As illustrated in Figure 2, SCC patients treated with adjuvant chemotherapy after CCRT displayed significant improvements in 1/3/5-year DMFS rate (95.0%/92.2%/91.1% for CCRT-ACT, and 90.9%/87.8%/87.0% for CCRT, P = 0.032). Notably, it is the subgroup of patients with non-SCC did not differ significantly in OS, DFS, PFS and DMFS between CCRT and CCRT-ACT groups (log-rank P = 0.134, 0.103, 0.078 and 0.074 for OS, DFS, PFS and DMFS, respectively) (Supplementary Figure 3).
Figure 2.

Kaplan-Meier survival estimates of (A) OS, (B) DFS, (C) PFS and (D) DMFS for LACC patients with SCC after PSM.

Kaplan-Meier survival estimates of (A) OS, (B) DFS, (C) PFS and (D) DMFS for LACC patients with SCC after PSM. A total of 179 SCC patients were treated with post-CCRT adjuvant chemotherapy in which less than or equal to 2 cycles adjuvant chemotherapy regimen was used for 95 patients and more than 2 cycles for 84 patients. For the SCC patients receiving adjuvant chemotherapy after CCRT, no significant differences were observed in the respective 5-year OS, DFS, PFS or DMFS rate between patients treated within 2 cycles and more than 2 cycles of adjuvant chemotherapy (OS rate: P = 0.181; DFS rate: P = 0.428; PFS rate: P = 0.604; DMFS rate: P = 0.497). The survival curves for the 2 subgroups are shown in Figure 3.
Figure 3.

Kaplan-Meier survival estimates of (A) OS, (B) DFS, (C) PFS and (D) DMFS for SCC patients in CCRT-ACT group with ≤2 vs >2 cycles adjuvant chemotherapy after PSM.

Kaplan-Meier survival estimates of (A) OS, (B) DFS, (C) PFS and (D) DMFS for SCC patients in CCRT-ACT group with ≤2 vs >2 cycles adjuvant chemotherapy after PSM.

Prognostic Factors Analysis

To identify independent prognostic factors, univariate and multivariate analyses using the Cox proportional hazards regression model were performed. As shown in Table 2, the univariate analysis demonstrated that baseline hemoglobin level, tumor markers (SCC antigen, SCC-Ag; cancer antigen 125, CA125) and histological subtypes were significantly associated with 5-year OS, DFS and PFS (P = 0.025, 0.017, 0.002 and 0.000 for OS; 0.040, 0.011, 0.020 and 0.009 for DFS; 0.007, 0.018, 0.004 and 0.002 for PFS, respectively). Furthermore, univariate analysis of age, histological subtypes, FIGO stage and lymph node metastasis with 5-year DMFS showed a trend toward significance (P = 0.029, 0.002, 0.004 and 0.032, respectively). In the multivariate analysis, it was found that SCC-Ag was an independent predictor of 5-year OS, DFS and PFS (P = 0.020, 1.08 [1.02, 1.14 for OS; P = 0.018, 1.04 [1.01, 1.08] for DFS; P = 0.035, 1.04 [1.00, 1.08] for PFS, respectively), and CA125 was another independent predictor of 5-year OS and PFS (P = 0.003, 1.01 [1.01, 1.02] for OS; P = 0.001, 1.01 [1.00, 1.01] for PFS, respectively). Age and histological subtypes remained as independent prognostic factors for 5-year DMFS (P = 0.011, 1.03 [1.00, 1.04] with age; P = 0.001, 4.05 [1.80, 8.21] with adenocarcinoma; P = 0.000, 6.88 [3.22, 14.26] with other types of carcinoma, respectively) (Table 3).
Table 2.

Univariate Analyses of Factors Affecting 5-Year OS, DFS, PFS and DMFS After PSM.

VariablesOSDFSPFSDMFS
Wals χ2 P-valueWals χ2 P-valueWals χ2 P-valueWals χ2 P-value
Age3.020.0910.700.4021.740.1904.860.029
Gravidity0.030.8730.760.3830.260.6041.230.268
Number of children0.010.9630.580.4400.250.6120.020.892
Menarcheal age0.180.6702.450.1231.580.2101.310.252
BMI1.020.3422.100.1400.860.3521.770.183
WBC1.100.2870.560.4501.920.1650.400.482
NEUT %0.040.8400.100.7420.440.5130.010.965
NEUT0.040.8450.010.9860.120.7300.010.955
LYM %0.050.8160.140.7150.240.6250.010.972
LYM0.050.8200.010.9640.700.4180.010.944
RBC0.820.3880.200.6540.500.4820.050.820
HGB4.950.0254.250.0407.210.0070.340.470
PLT0.330.5300.060.7450.430.5190.130.721
ALT1.030.3202.050.1501.140.2851.000.319
AST1.400.1860.010.9421.590.1920.450.501
GGT0.300.5950.020.8860.190.6600.010.971
ALP1.200.2620.780.3920.640.4250.690.402
GLU1.230.2510.070.7801.330.2490.010.954
BUN0.600.4401.200.2740.660.4120.730.392
CRE0.010.9701.070.3080.060.8000.480.473
TP1.500.2100.010.9751.610.2060.010.979
ALB0.070.7900.200.6571.010.3070.350.552
SCC-Ag5.600.0176.400.0115.110.0180.840.346
CA12511.340.0024.640.0208.520.0040.910.337
Histological subtypes34.010.0009.950.00912.740.00213.240.002
FIGO stage5.720.3921.120.8954.420.51614.820.004
Past medical history1.440.1941.560.2151.730.1941.550.215
Lymph node metastasis2.190.1350.530.4623.100.0714.530.032

BMI: body mass index; NEUT: neutrophilic granulocyte; LYM: lymphocyte; HGB: hemoglobin; PLT: blood platelet; ALT: alanine aminotransferase; AST: aspartate aminotransferase; GGT: glutamyltranspeptidase; ALP: alkaline phosphatase; GLU: glucose; BUN: blood urea nitrogen; CRE: creatinine; TP: treponema pallidum; ALB: albumin; SCC-Ag: squamous cell carcinoma antigen; CA125: cancer antigen 125.

Table 3.

Multivariate Analyses for Outcomes According to Prognostic Factors After PSM.

VariablesOSDFSPFSDMFS
Wals χ2 HR [95% CI]P-valueWals χ2 HR [95% CI]P-valueWals χ2 HR [95% CI]P-valueWals χ2 HR [95% CI]P-value
Age5.391.03 [1.00, 1.04]0.011
SCC-Ag5.121.08[1.02, 1.14]0.0205.211.04 [1.01, 1.08]0.0184.651.04 [1.00, 1.08]0.035
CA1258.241.01[1.01, 1.02]0.00310.521.01 [1.00, 1.01]0.001
Histological subtypes23.200.000
SCC1.00
Adenocarcinoma12.624.05 [1.80, 8.21]0.001
Others20.456.88 [3.22, 14.26]0.000

HR: hazards ratio; CI: confidence interval.

Univariate Analyses of Factors Affecting 5-Year OS, DFS, PFS and DMFS After PSM. BMI: body mass index; NEUT: neutrophilic granulocyte; LYM: lymphocyte; HGB: hemoglobin; PLT: blood platelet; ALT: alanine aminotransferase; AST: aspartate aminotransferase; GGT: glutamyltranspeptidase; ALP: alkaline phosphatase; GLU: glucose; BUN: blood urea nitrogen; CRE: creatinine; TP: treponema pallidum; ALB: albumin; SCC-Ag: squamous cell carcinoma antigen; CA125: cancer antigen 125. Multivariate Analyses for Outcomes According to Prognostic Factors After PSM. HR: hazards ratio; CI: confidence interval.

Probit Regression Models With a Probability of Survival Related to Tumor Markers

Probit regression was used to model the probability of survival results as a function of the tumor marker level. We found that in both CCRT-ACT and CCRT groups, the probability of survival declined with an increase in the levels of CA125 or SCC-Ag (Table 4). Patients with CA125 above the cut-off value (19.8U/mL for DFS; 20.5U/mL for PFS) receiving adjuvant chemotherapy after CCRT differed significantly in DFS and PFS than CCRT alone. Also, the CCRT-ACT group had significantly higher DFS than the CCRT group with the lowest possible cut-off value of SCC-Ag (22.8μg/L) (Figure 4).
Table 4.

Probit Regression Analysis for Relationship Between Tumor Markers and Survival After PSM.

Survival resultsCA125SCC-Ag
β [95% CI]S.E.ZP-valueβ [95% CI]S.E.ZP-value
OSCCRT group0.01 [0.00, 0.01]0.012.810.0050.03 [0.02, 0.05]0.013.780.000
CCRT-ACT group0.05 [−0.10, 0.16]0.101.210.2260.01 [−0.02, 0.03]0.090.260.795
DFSCCRT group0.01 [0.00, 0.01]0.013.370.0010.02 [0.01, 0.04]0.012.500.012
CCRT-ACT group0.12 [0.08, 0.16]0.025.530.0000.09 [0.05, 0.14]0.023.920.000
PFSCCRT group0.01 [0.01, 0.02]0.014.650.0000.01 [0.01, 0.12]0.012.310.021
CCRT-ACT group0.42 [0.13, 0.44]0.076.300.0000.02 [−0.05, 0.07]0.060.170.865
DMFSCCRT group0.01 [−0.01, 0.02]0.010.520.6030.02 [0.01, 0.05]0.012.140.032
CCRT-ACT group−0.01 [−0.08, 0.09]0.15−0.450.651−0.02 [−0.10, 0.09]0.03−0.330.641
Figure 4.

Probit regression models of data sets with probability of survival (y axis) related to tumor marker levels (x axis). A, Probability of DFS with CA125. B, Probability of PFS with CA125. (C) Probability of DFS with SCC-Ag.

Probit Regression Analysis for Relationship Between Tumor Markers and Survival After PSM. Probit regression models of data sets with probability of survival (y axis) related to tumor marker levels (x axis). A, Probability of DFS with CA125. B, Probability of PFS with CA125. (C) Probability of DFS with SCC-Ag.

Treatment-Related Complications

The acute and late adverse events for treatment were summarized in Table 5. The most common acute toxicity found in both groups was hematologic toxicity. Twenty-five patients (6.2%) had grade 3-4 acute hematological toxicity in CCRT group, while 27 (13.3%) in CCRT-ACT group (P = 0.003). The other acute toxicities about vagina mucosa, upper/lower gastrointestinal and urinary tract had no significant difference between the 2 groups.
Table 5.

Treatment-Related Toxicities of CCRT and CCRT-ACT Groups After PSM.

ToxicitiesCCRT groupCCRT-ACT groupχ2 P-value
Grade 0-2Grade 3-4Grade 0-2Grade 3-4
Acute toxicities
 Hematology38125176278.840.003
 Vagina mucosa37927188150.120.734
 Upper gastrointestinal tract3931319760.030.869
 Lower gastrointestinal tract3871919580.170.676
 Urinary tract38026191120.060.813
Late toxicities
 Upper gastrointestinal tract404220120.030.859#
 Lower gastrointestinal tract39115187164.910.027
 Urinary tract405119678.380.004#

# Continuity correction chi-square test.

Treatment-Related Toxicities of CCRT and CCRT-ACT Groups After PSM. # Continuity correction chi-square test. With regard to late complications of treatment, the most common adverse events were upper/lower gastrointestinal and urinary toxicities. In CCRT group, grade 2 or below, and 3-4 upper gastrointestinal complications occurred in 404 (99.5%) and 2 (0.5%) patients, and 201 (99.0%) and 2 (1.0%) patients in CCRT-ACT group, respectively (P = 0.859). However, grade 3-4 lower gastrointestinal complications were more common in patients from CCRT-ACT group than in those of CCRT group (16 [7.9%] vs 15 [3.7%], P = 0.027). Concerning urinary toxicities, grade 3-4 was observed in 7 patients from CCRT-ACT group, which was more than CCRT group (7 [3.4%] vs 1 [0.2%], P = 0.004).

QoL Status of Patients

EORTC QLQ-C30 V3.0 was used to evaluate the QoL status of patients. The scores range of each subscale or item ranged from 0-100. The higher score indicates better functioning or QoL, as well as a higher rate of symptoms or problems. The comparisons suggested that the majority of QoL aspects were similar in the 2 groups at long-term follow-up. However, the symptom scale in diarrhea was significantly different, and patients who underwent adjuvant chemotherapy after CCRT more frequently suffered from diarrhea than those treated with CCRT only (P = 0.000) (Table 6).
Table 6.

Mean Scores of Subscale/Item of EORTC QLQ-C30 V3.0 in CCRT and CCRT-ACT Groups After PSM.

Subscale/ItemMean score (SD)
CCRT groupCCRT-ACT group t P-value
Global health quality of life67.59 (35.67)68.86 (16.53)0.480.630
Functional scale
 Physical83.54 (19.21)84.21 (13.45)0.450.656
 Role85.12 (11.21)85.62 (13.54)0.480.629
 Emotional83.45 (17.64)83.67 (13.49)0.160.876
 Cognitive80.95 (19.73)81.47 (16.46)0.320.747
 Social85.21 (13.93)84.99 (10.46)−0.200.843
Symptom scale and/or items
 Fatigue20.43 (8.11)19.56 (9.46)−1.180.139
 Nausea and vomiting9.24 (3.15)8.93(4.24)−1.020.310
 Pain19.01 (7.74)18.22 (8.87)−1.130.259
 Dyspnea14.23 (3.58)13.92 (4.56)−0.920.360
 Insomnia30.25 (7.23)30.86 (12.01)0.780.436
 Appetite loss17.12 (5.12)16.85 (4.65)−0.630.528
 Constipation9.15 (2.63)9.07 (4.73)−0.270.789
 Diarrhea11.16 (4.21)16.82 (6.43)13.020.000
 Financial difficulties25.10 (7.52)24.92 (5.30)−0.310.760
Mean Scores of Subscale/Item of EORTC QLQ-C30 V3.0 in CCRT and CCRT-ACT Groups After PSM.

Discussion

Cervical cancer is one of the most common malignancies and recognized as a major public health problem in China with an increasing incidence and younger age at diagnosis.[9] The incidence of cervical cancer in Chinese married women is highly ranked among female malignant tumors. It is also the common cause of death among women in China presenting in a locally advanced stage. As CCRT is the main aspect of curative treatment of LACC, much of the treatment consists of providing adequate facilities for good-quality EBRT, ICBT, and delivery of adequate concurrent chemotherapy.[10] Adjuvant chemotherapy is the absolute gold standard in the therapy of many tumor types. In contrast, the role of adjuvant chemotherapy for cervical cancer is not fully understood. Furthermore, detailed information on the effects of adjuvant chemotherapy, when added to CCRT, is still not available.[11] In China, adjuvant chemotherapy is generally performed in some patients with cervical cancer at a locally advanced stage, who are at high risk for recurrence and able to tolerate further treatment after CCRT.[12] Yet, the clinical feasibility of treatment with CCRT, followed by adjuvant chemotherapy in a larger group of LACC patients still remains unclear. In this retrospective multicenter study, data from patients with LACC in stage IB2, IIA2, IIB-IVA, of which mainly IIA2, IIB and IIIB, were collected to make a clinical efficacy comparison between CCRT-ACT and CCRT group. In opposition to the benefits of the additional use of adjuvant chemotherapy after CCRT that has been reported by numerous previous studies,[13-15] we did not find significant differences related to longer OS, DFS, PFS and DMFS between CCRT-ACT and CCRT group after a median follow-up of 56.4 months. When patients were divided into subgroups based upon whether or not with more advanced stages, OS, DFS, PFS of patients with stage IIIB and IVA in CCRT-ACT group was higher than that of those in CCRT group. However, the difference was not statistically significant. Kim YB et al.[16] assessed the cervical cancer patients with stage IB and IIB who underwent CCRT followed by adjuvant chemotherapy in another retrospective analysis. According to the results of 5-year OS and DFS rates for patients in CCRT and CCRT-ACT groups (85% vs 80%, and 83% vs 78%, respectively), the data failed to show the discernable therapeutic advantage of adjuvant chemotherapy administered after CCRT. This was partly supported by findings from the randomized controlled trial of Tangjitgamol S et al.[17] which found no significant benefit in response rate and survival of adjuvant chemotherapy with paclitaxel plus carboplatin after CCRT for LACC of stage IIB-IVA compared to standard treatment of CCRT alone. Nonetheless, it may be of some therapeutic advantage over CCRT alone in cervical cancer patients with positive pelvic or para-aortic lymph nodes who received post-CCRT adjuvant chemotherapy in the present study. Abe A et al.[18] and Yuan Y et al.[19] also reported encouraging results of adjuvant chemotherapy after completion of CCRT in an attempt to improve outcomes in the management of lymph nodal-metastatic cervical cancer. Future clinical trials are required for confirmation of the clinical efficacy of adjuvant chemotherapy, especially for the patients with poor prognostic factors. Due to tumor heterogeneity, it is unlikely that the additional use of adjuvant chemotherapy after CCRT could show some improvement in clinical outcomes in patients with cervical cancer with different histological subtypes.[20] Zhang MQ et al.[21] evaluated their experience with chemoradiotherapy for LACC patients only with SCC. They treated patients (stage IIB-IIIB) with CCRT followed by consolidation chemotherapy with paclitaxel and nedaplatin and demonstrated that this treatment regimen was well tolerated and effective. Although the analogical finding in our study was that the addition of adjuvant chemotherapy had no substantial impact on survival in LACC patients receiving CCRT, our protocols employing CCRT followed by adjuvant chemotherapy resulted in longer DMFS in LACC patients with SCC. Adjuvant chemotherapy that follows CCRT can potentially improve distant control of LACC with SCC, as argued by Jelavić TB et al.[22] The improvement in distance metastasis control seems to be caused by a higher response rate to post-CCRT adjuvant chemotherapy in SCC patients. It is worth noting that in our study, only 46.9% of LACC patients with SCC received more than 2 cycles of adjuvant chemotherapy, and 53.1% received within 2 cycles, which was probably due to increased treatment-related morbidity or other causes. Furthermore, our data also showed that adjuvant chemotherapy with more than 2 cycles did not result in significantly improved survival compared to that within 2 cycles of adjuvant chemotherapy. Some clinical studies have confirmed that the addition of adjuvant chemotherapy after CCRT does leads to an increase in the risks of treatment-related adverse effects, requiring coordinated supportive care so as to avoid treatment delays and hospitalizations during the treatment course, as well as relatively poor compliance of patients.[16] These observations related to the untoward effects of more cycles of adjuvant chemotherapy seems to preclude definitive conclusions regarding the true superiority of this modality. Although we failed to observe the potential beneficial effects in the small number of patients with non-SCC receiving adjuvant chemotherapy after CCRT, it is worthwhile to further expand the number of samples to study the treatment effect of patients who are more prone to suffer disease failure.[23] Chemotherapy comprising a platinum agent has been reported to be highly effective in advanced and recurrent cervical cancer.[24,25] Studies have shown that chemotherapy improves survival and decreases local and distant recurrence, yet at the expense of a varying degree of toxicity and morbidity.[26] In the present study, platinum-based chemotherapy after CCRT was administered as adjuvant chemotherapy and comprised paclitaxel combined with either cisplatin or carboplatin. Adjuvant chemotherapy following CCRT increased the severity of the grade 3 or higher acute hematological toxicity and late urinary and lower gastrointestinal complications. In contrast, the frequency of other toxicities did not differ between CCRT-ACT and CCRT group. Some researchers have focused on the radiation toxicity after completing treatment with chemoradiotherapy.[5,16,17] It was reported that hematological adverse event was the more prominent in acute toxicities during the treatment of CCRT followed by adjuvant chemotherapy compared with CCRT alone, however, the incidence of late radiation bladder and gastrointestinal complications did not significantly differ between CCRT-ACT and CCRT groups. The results might be related to differences in sensitivity to chemoradiotherapy in patients from different research groups. Cervical cancer has long-term effects on health-related QoL of cancer survivors after treatment.[27] Few research studies have focused on the QoL of LACC survivors.[28] In this study, no differences in the global health QoL and functional scale were found between 2 groups; nevertheless, bowel morbidity was prevalent after treatment with definitive chemoradiotherapy in the symptom scale analysis. The LACC patients in CCRT-ACT groups more frequently experienced severe diarrhea symptoms than those who underwent CCRT only. Many patients treated for cervical cancer have long-term complaints regarding bowel function.[29] Digestive system interventions should be valued in improving QoL of cervical cancer chemoradiotherapy patients.[30] The tumor markers, including SCC-Ag and CA125, were identified as significant risk factors for survival (OS, DFS and PFS) in the multivariate analysis. These observations as well as the roles these risk factors have in predicting prognoses in LACC patients, have been reported by several previous studies.[31,32] Likewise, older patients and non-SCC patients were at higher risk for distant metastasis. Atahan IL et al.[33] evaluated possible prognostic factors in patients with LACC (88% with IIB-IIIB), reporting adenocarcinoma as one of the independent predictors for DMFS. In another study by Yokoi E et al.[34] compared the survival outcomes in patients with SCC and adenocarcinoma/adenosquamous carcinoma among patients with LACC. Patients with non-SCC histology experienced significantly worse survival outcomes than those with SCC. Additionally, the reason for the worse outcome in elderly patients may be somewhat aggressive tumor factors.[35] Based on analyses of tumor markers in patients treated with chemoradiotherapy, adjuvant chemotherapy after CCRT might presented a probability of greater DFS and PFS in patients with high level of CA125 (the lowest possible cut-off values were 19.8 and 20.5U/mL, respectively). The level of SCC-Ag was also significantly linked to DFS; more specifically, a greater DFS in CCRT-ACT patients was probably amplified a profit from high SCC-Ag level (above 22.8μg/L) compared with patients receiving CCRT alone. Our study supported the hypothesis that patients who could have been screened for high levels of tumor markers, especially CA125 and SCC-Ag, might have a greater survival benefit from adjuvant chemotherapy after CCRT. In conclusion, this study was undertaken in a developing country where the majority of the global burden of cervical cancer resides. Our data failed to show the discernable therapeutic advantage of adjuvant chemotherapy given after CCRT in OS, DFS, PFS and DMFS for patients with LACC. However, adjuvant chemotherapy after CCRT had a more favorable distant metastasis control in managing LACC patients, particularly with pelvic/para-aortic lymph nodes involvement or SCC, than those treated with CCRT alone. It is a remarkable fact that the post-CCRT adjuvant chemotherapy with excessive cycle numbers should not be considered as the more appropriate choice, in order to avoid the probability of unnecessary cumulative toxicity, especially severe acute hematological toxicity, late urinary and lower gastrointestinal complications. Diarrhea might be one of the main symptoms affecting the QoL in LACC patients undergoing adjuvant chemotherapy after CCRT. Moreover, compared with standard CCRT treatment, patients with tumor markers above the threshold levels (CA125 > 20.5 U/mL, SCC-Ag > 22.8 μg/L) might have greater DFS and PFS from adjuvant chemotherapy after CCRT. The limitations of the present study is its retrospective nature. Well-designed prospective, randomized clinical trials are required to confirm further the clinical efficacy of CCRT plus adjuvant chemotherapy in patients with LACC. Click here for additional data file. Supplemental Material, sj-jpg-1-ccx-10.1177_1073274821989307 for A Multi-Institutional Retrospective Analysis of Oncologic Outcomes for Patients With Locally Advanced Cervical Cancer Undergoing Platinum-Based Adjuvant Chemotherapy After Concurrent Chemoradiotherapy by Ning Wu, Xing Su, Honglin Song, Ying Li, Fei Gu, Xiaoge Sun, Xiaofan Li and Guanghui Cheng in Cancer Control Click here for additional data file. Supplemental Material, sj-jpg-2-ccx-10.1177_1073274821989307 for A Multi-Institutional Retrospective Analysis of Oncologic Outcomes for Patients With Locally Advanced Cervical Cancer Undergoing Platinum-Based Adjuvant Chemotherapy After Concurrent Chemoradiotherapy by Ning Wu, Xing Su, Honglin Song, Ying Li, Fei Gu, Xiaoge Sun, Xiaofan Li and Guanghui Cheng in Cancer Control Click here for additional data file. Supplemental Material, sj-jpg-3-ccx-10.1177_1073274821989307 for A Multi-Institutional Retrospective Analysis of Oncologic Outcomes for Patients With Locally Advanced Cervical Cancer Undergoing Platinum-Based Adjuvant Chemotherapy After Concurrent Chemoradiotherapy by Ning Wu, Xing Su, Honglin Song, Ying Li, Fei Gu, Xiaoge Sun, Xiaofan Li and Guanghui Cheng in Cancer Control
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1.  Differences in the outcomes and complications between elderly and younger uterine cervical cancer patients treated by definitive radiotherapy - A propensity score-matched study.

Authors:  Yu-Ming Wang; Chong-Jong Wang; Fu-Min Fang; Hui-Chun Chen; Hsuan-Chih Hsu; Yu-Jie Huang; Chang-Yu Wang; Eng-Yen Huang
Journal:  Gynecol Oncol       Date:  2017-03-06       Impact factor: 5.482

2.  Concurrent cisplatin-based radiotherapy and chemotherapy for locally advanced cervical cancer.

Authors:  P G Rose; B N Bundy; E B Watkins; J T Thigpen; G Deppe; M A Maiman; D L Clarke-Pearson; S Insalaco
Journal:  N Engl J Med       Date:  1999-04-15       Impact factor: 91.245

3.  Adjuvant Chemotherapy in Locally Advanced Cervical Cancer After Treatment with Concomitant Chemoradiotherapy--Room for Improvement?

Authors:  Tihana Boraska Jelavić; Branka Petrić Miše; Ante Strikic; Marija Ban; Eduard Vrdoljak
Journal:  Anticancer Res       Date:  2015-07       Impact factor: 2.480

4.  Adjuvant carboplatin and paclitaxel after concurrent cisplatin and radiotherapy in patients with locally advanced cervical cancer.

Authors:  Guler Yavas; Cagdas Yavas; Erdem Sen; Irem Oner; Cetin Celik; Ozlem Ata
Journal:  Int J Gynecol Cancer       Date:  2019-01       Impact factor: 3.437

5.  Tumour size, volume, and marker expression during radiation therapy can predict survival of cervical cancer patients: a multi-institutional retrospective analysis of KROG 16-01.

Authors:  Jong Hoon Lee; Sea-Won Lee; Ju Ree Kim; Yeon Sil Kim; Mee Sun Yoon; Songmi Jeong; Jin Hee Kim; Ja Young Lee; Keun Yong Eom; Bae Kwon Jeong; Seok Ho Lee
Journal:  Gynecol Oncol       Date:  2017-10-27       Impact factor: 5.482

6.  Challenges to effective cancer control in China, India, and Russia.

Authors:  Paul E Goss; Kathrin Strasser-Weippl; Brittany L Lee-Bychkovsky; Lei Fan; Junjie Li; Yanin Chavarri-Guerra; Pedro E R Liedke; C S Pramesh; Tanja Badovinac-Crnjevic; Yuri Sheikine; Zhu Chen; You-lin Qiao; Zhiming Shao; Yi-Long Wu; Daiming Fan; Louis W C Chow; Jun Wang; Qiong Zhang; Shiying Yu; Gordon Shen; Jie He; Arnie Purushotham; Richard Sullivan; Rajendra Badwe; Shripad D Banavali; Reena Nair; Lalit Kumar; Purvish Parikh; Somasundarum Subramanian; Pankaj Chaturvedi; Subramania Iyer; Surendra Srinivas Shastri; Raghunadhrao Digumarti; Enrique Soto-Perez-de-Celis; Dauren Adilbay; Vladimir Semiglazov; Sergey Orlov; Dilyara Kaidarova; Ilya Tsimafeyeu; Sergei Tatishchev; Kirill D Danishevskiy; Marc Hurlbert; Caroline Vail; Jessica St Louis; Arlene Chan
Journal:  Lancet Oncol       Date:  2014-04       Impact factor: 41.316

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

8.  Adjuvant chemotherapy after radiotherapy or concurrent chemoradiotherapy for pelvic lymph node-positive patients with locally advanced cervical cancer: a propensity score matching analysis.

Authors:  Xiaofan Li; Weihu Wang; Yidi Yuan; Jing You
Journal:  Int J Gynecol Cancer       Date:  2020-05-30       Impact factor: 3.437

9.  A randomized controlled trial comparing concurrent chemoradiation versus concurrent chemoradiation followed by adjuvant chemotherapy in locally advanced cervical cancer patients: ACTLACC trial.

Authors:  Siriwan Tangjitgamol; Ekkasit Tharavichitkul; Chokaew Tovanabutra; Kanisa Rongsriyam; Tussawan Asakij; Kannika Paengchit; Jirasak Sukhaboon; Somkit Penpattanagul; Apiradee Kridakara; Jitti Hanprasertpong; Kittisak Chomprasert; Sirentra Wanglikitkoon; Thiti Atjimakul; Piyawan Pariyawateekul; Kanyarat Katanyoo; Prapai Tanprasert; Wanwipa Janweerachai; Duangjai Sangthawan; Jakkapan Khunnarong; Taywin Chottetanaprasith; Busaba Supawattanabodee; Prasert Lertsanguansinchai; Jatupol Srisomboon; Wanrudee Isaranuwatchai; Vichan Lorvidhaya
Journal:  J Gynecol Oncol       Date:  2019-04-10       Impact factor: 4.401

10.  Concurrent chemoradiotherapy for cervical cancer: background including evidence-based data, pitfalls of the data, limitation of treatment in certain groups.

Authors:  Yukiharu Todo; Hidemichi Watari
Journal:  Chin J Cancer Res       Date:  2016-04       Impact factor: 5.087

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  1 in total

Review 1.  Treatment Strategies and Prognostic Factors of 2018 FIGO Stage IIIC Cervical Cancer: A Review.

Authors:  Fengying Qin; Huiting Pang; Tao Yu; Yahong Luo; Yue Dong
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec
  1 in total

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