Analysis of recurrence and survival rates in grade 3 endometrioid endometrial carcinoma

  • Authors:
    • Jieyu Wang
    • Nan Jia
    • Qing Li
    • Chao Wang
    • Xiang Tao
    • Keqin Hua
    • Weiwei Feng
  • View Affiliations

  • Published online on: July 28, 2016     https://doi.org/10.3892/ol.2016.4918
  • Pages: 2860-2867
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

The aim of the present study was to determine risk factors associated with recurrence and survival in patients with grade 3 endometrioid endometrial carcinoma (G3EEC). A retrospective analysis of 117 patients with G3EEC, who were admitted to the Obstetrics and Gynecology Hospital of Fudan University between January 2000 and December 2011, was performed. The χ2 test or Fisher's exact test were used for the comparison of categorical variables. Kaplan‑Meier method was used for estimating recurrence‑free survival (RFS), disease‑specific survival (DSS) and overall survival (OS) rates. Univariate and multivariate Cox proportional hazards model were used to assess the prognostic significance of various patient characteristics. In 117 patients, 16 patients (13.7%) had tumor recurrence, of which 6 (37.5%) developed local‑regional recurrence and 10 (62.5%) developed distant recurrence. Out of the 16 patients with tumor recurrence, 14 (87.5%) had a recurrence within 3 years of surgery. Statistically significant characteristics affecting RFS, DSS and OS rates were outer half myometrial invasion (MI ≥50%), advanced International Federation of Gynecology and Obstetrics stage, positive lymph node metastasis (PLNM), lymph vascular space invasion, adnexal involvement and characterization as a high‑risk group, according to the Gynecologic Oncology Group 99 stratification algorithm. RFS was associated with the depth of cervical mucosa (stromal) involvement. Furthermore, in the multivariate Cox proportional hazards model, significant independent adverse factors for RFS and DSS included MI ≥50% and adnexal involvement. For OS, there were no statistically significant prognostic factors. In conclusion, MI ≥50% and adnexal involvement are independent prognostic factors for RFS and DSS in G3EEC patients.

Introduction

Worldwide, ~320,000 women are diagnosed with endometrial cancer each year and there are 76,000 mortalities associated with endometrial cancer, which results in it being the sixth most common cancer in women. Compared with an incidence rate of 0.6% in developing countries, in developed countries the incidence rate of endometrial cancer is 1.6% (1). The incidence of endometrial cancer is increasing, which has been hypothesized to be associated with an increased life expectancy and increasing incidence of obesity (2).

Endometrioid endometrial cancer (EEC) accounts for ~80% of endometrial cancers. EEC tumors are usually estrogen-dependent, often low-grade, diagnosed at an early stage and are associated with an improved prognosis (3,4). However, a previous study has revealed that certain survival outcomes, including recurrence-free survival (RFS) and disease-specific survival (DSS), are similar among malignant mixed mullerian tumors, high-grade EEC, clear cell (CC) and uterine serous carcinoma (USC) subtypes of endometrial cancer (5). Del Carmen et al (6) also reported that patients with grade 3 EEC (G3EEC) have a higher relapse rate compared with patients with low-grade endometrioid adenocarcinoma of the uterus. Therefore, G3EEC is considered as a high-risk endometrial cancer, along with USC and CC; however, factors associated with behavior and recurrence of G3EEC remain unclear.

The Gynecologic Oncology Group (GOG) divided endometrial cancer into three subgroups based on surgical-pathological factors and age in order to evaluate the risk of relapse accurately (7,8). A risk stratification algorithm, published in GOG99 (8), has been increasingly used to guide adjuvant therapy for patients with intermediate and high-risk endometrial adenocarcinoma (9,10). However, it is unknown whether this risk stratification algorithm is suitable for G3EEC, and it is unclear if there is an association between conventional prognostic indicators and prognosis among G3EEC patients.

The present study reviewed patients with G3EEC in order to clarify the risk factors for relapse and mortality in these patients. The aim of the present study was to assess the association of GOG99 risk stratification and various clinicopathological features documented at the time of diagnosis, including depth of myometrial invasion (MI), lymph vascular space invasion (LVSI), International Federation of Gynecology and Obstetrics (FIGO) stage, depth of cervical mucosa (stromal) involvement (CMI), adnexal involvement, pelvic lymph node metastasis (PLNM) and tumor diameter, with the relapse and survival rates of G3EEC patients, and to determine independent factors affecting the recurrence and survival status of patients with G3EEC.

Materials and methods

Patients

A retrospective review of 117 patients diagnosed with G3EEC at the Obstetrics and Gynecology Hospital of Fudan University (Shanghai, China) between January 2000 and December 2011 was performed. Information on patient demographics, clinical presentation, pathological characteristics, recurrent and survival outcomes was extracted from patient medical records. The institutional review board of the Obstetrics and Gynecology Hospital of Fudan University approved the study. The inclusion criteria for the present study was patients that had undergone comprehensive surgical staging with G3EEC during final pathology evaluation; all paraffin-embedded pathology specimens underwent a pathology review by experienced gynecological pathologists. The exclusion criteria for the present study included patients that had the following characteristics: Non-endometrioid histology; grade (G) 1 or G2 disease; and presence of synchronous cancers. All of the present patients underwent a total hysterectomy and bilateral salpingo-oophorectomy and/or partial omentectomy with or without pelvic and/or para-aortic lymphadenectomy according to the disease stage of the patient. Post-operative adjuvant treatment was determined based on FIGO stage, patient preference and physician suggestion. Standard chemotherapy consisted of paclitaxel and carboplatin for 4–6 cycles and was used in 51 patients. Pelvic radiotherapy and/or vaginal brachytherapy were administered in 6 patients. In total, 39 patients were treated with standard chemotherapy and pelvic radiotherapy and/or vaginal brachytherapy. The post-surgery treatment of 3 patients was unknown, and the remaining 18 patients underwent observation with no treatment following surgery.

Clinicopathological characteristics

Clinicopathological characteristics included age, menopausal status, FIGO stage, depth of MI, tumor diameter, LVSI, depth of CMI, adnexal involvement, para-aortic lymphadenectomy, PLNM and GOG99 risk stratification. Risk stratification was determined by the standards set forth by the GOG99 protocol (8), and patients were either classified as low-risk, low-intermediate risk (LIR), high-intermediate risk (HIR) or high-risk (HR). Low-risk patients were classified as stage IA, G1 and LVSI negative. LIR patients were classified as stages IA, IB or II that did not otherwise meet low-risk or high-intermediate risk criteria. HIR patients were classified as stages IA, IB and II with the following criteria: G2 or G3; LVSI positive; outer half MI (MI ≥50%); ≥70 years of age with one other risk factor, ≥50 years of age with two risk factors or any age with three risk factors. HR patients were classified as stage III or IV. The patients in the present study were G3, and therefore were LIR, HIR or HR. FIGO 2009 staging (11) was used, since staging changes were developed in 2014. Recurrent disease was categorized as regional recurrence (intra-pelvic cavity or vagina) and distal recurrence (extra-pelvic only or intra- and extra pelvic). Para-aortic lymph node recurrence was regarded as an extra-pelvic lesion.

Follow-up

Follow-up evaluations, including the date of last follow up, recurrence and the cause of patient mortalities, were collected from the medical records of the patients. All patients were observed until November 2014 or the date that the patient succumbed to a disease. The status of the patients at the end of the follow-up period was defined as no evidence of disease, alive with disease or succumbed to disease. Patients that succumbed to disease were divided into G3EEC-associated mortality, other disease-associated mortality and succumbed while lost to follow-up. The overall survival (OS) rate was defined as the time between surgery and the date of mortality or last follow-up recorded. RFS was defined as the time between surgery and physical or radiographical evidence of disease recurrence. DSS was defined as the time between diagnosis or treatment and G3EEC-associated mortality; patients that succumbed to other causes were not included.

Statistical analysis

The χ2 test and Fisher's exact test were used to analyze categorical variables. Univariate and multivariate Cox proportional hazard regression model were used to assess the effect of the various clinicopathological characteristics on OS, RFS and DSS. Kaplan-Meier method was used to compare categorical predictors within sub-groups of patients. SPSS version 13.0 software (SPSS, Inc., Chicago, IL, USA) was used for statistical analysis. All P-values were two-sided and P<0.05 was considered to indicate a statistically significant difference.

Results

Clinicopathological characteristics of patients

The clinicopathological characteristics of the 117 patients are listed in Table I. The mean age was 55.6 years (range, 21–80 years) and the mean follow-up time for all patients was 63 months (range, 2–153 months). According to the 2009 FIGO staging criteria, 84 patients (71.8%) were classified as stage I, 12 (10.3%) as stage II, 18 (15.4%) as stage III and 3 (2.6%) as stage IV. In total, 51 patients (43.6%) had MI ≥50%, and LVSI was observed in 35.9% of patients. Out of the 117 patients, 53 (45.3%) were classified as LIR, 43 (36.8%) as HIR and the remaining 21 patients (17.9%) as HR. In total, 72 of the patients (61.5%) were menopausal. There was no difference identified in age between recurrent and not-recurrent patients (57.5 vs. 55.3 years; P=0.384).

Table I.

Clinicopathological characteristics of 117 patients with grade 3 endometrioid endometrial cancer.

Table I.

Clinicopathological characteristics of 117 patients with grade 3 endometrioid endometrial cancer.

RecurrenceMortality


Characteristicn (%)nP-valuenP-value
Age, years 0.788   0.866
  <50  29 (24.8)  3   4
  50–70  78 (66.7)12   8
  >7010 (8.5)  1   1
Menopausal status 0.277   1.000
  Pre-menopausal  45 (38.5)  4   5
  Post-menopausal  72 (61.5)12   8
FIGO stage   0.002a <0.001a
  I  84 (71.8)  6   4
  II  12 (10.3)  4   1
  III  18 (15.4)  4   6
  IV  3 (2.6)  2   2
Depth of myometrial invasion   0.005a   0.006a
  Negative  9 (7.7)  1   1
  <50%  57 (48.7)  2   1
  ≥50%  51 (43.6)13 11
Tumor diameter, cm 0.553 0.511
  ≤2  32 (27.4)  3   2
  >2  83 (70.9)12 11
  Unknown  2 (1.7)  1   0
Cervical involvement 0.066   0.408
  Negative  88 (75.2)  9   8
  Mucosal  9 (7.7)  2   2
  Stromal  20 (17.1)  5   3
LVSI 0.092   0.013a
  Negative  75 (64.1)  7   4
  Positive  42 (35.9)  9   9
PLNM 0.056 <0.001a
  Negative  93 (79.5)11   6
  Positive  17 (14.5)  5   7
  Unknown  7 (6.0)  0   0
Adnexal involvement 0.043   0.020a
  Negative106 (90.6)12   4
  Positive11 (9.4)  4   9
Risk stratification   0.010a <0.001a
  LIR  53 (45.3)  2   1
  HIR  43 (36.8)  8   4
  HR  21 (17.9)  6   8
Para-aortic lymphadenectomy 1.000   0.356
  Negative104 (88.9)14 13
  Positive  13 (11.1)  2   0
Adjuvant therapy 0.712   0.868
  Observation  18 (15.4)  1   1
  Chemotherapy  51 (43.6)  7   6
  Radiotherapy  6 (5.1)  1   1
  Chemoradiotherapy  39 (33.3)  7   5
  Unknown  3 (2.6)  0   0

{ label (or @symbol) needed for fn[@id='tfn1-ol-0-0-4918'] } FIGO, International Federation of Gynecology and Obstetrics; LVSI, lymph vascular space invasion; PLNM, pelvic lymph node metastasis; LIR, low-intermediate risk; HIR, high-intermediate risk; HR, high-risk.

a P<0.05.

Association between recurrence and clinicopathological characteristics

The overall relapse rate of the present patients with G3EEC was ~13.7% (16/117). Of the 16 patients that relapsed, 14 (87.5%) developed recurrence within 3 years of primary treatment. Of all recurrence cases, there were 6 (37.5%) regional recurrent patients, including 5 patients in whom recurrence was restricted to the pelvic cavity and 1 patient that had recurrence restricted to the vagina, and 10 (55.6%) distal recurrence patients, including 9 patients with extra-pelvic disease and 1 patient with intra- and extra-pelvic recurrence. Patterns of distal recurrence included lung (n=4), abdomen (n=1), bone (n=2), liver (n=2) and bowel (n=1). The mean time to regional recurrence (intra-pelvic only) and distal recurrence (intra- and extra-pelvic) was not significantly different (12.5 vs. 32.6 months; P=0.068). Of 16 recurred cases, 10 patients (62.5%) succumbed to G3EEC, 5 patients were (31.3%) alive with disease and 1 patient succumbed to cerebral hemorrhage. Recurrence and mortality of patients with G3EEC were additionally evaluated for the 117 patients in association with GOG99 risk categories.

Association between risk factors and patient outcome

Table II provides the results of the Cox univariate analysis with corresponding hazard ratio (HZR) and 95% confidence intervals (CI) for predicting relapse and survival status. MI, FIGO stages, LVSI, adnexal involvement, PLNM, CMI and risk stratification were significantly associated with an increased risk of recurrence using univariate analysis (P<0.05). DSS and OS rates were also associated with these characteristics, with the exception of CMI and risk stratification when divided into LIR and HIR groups.

Table II.

Univariate Cox proportional hazards analysis for the risk of tumor recurrence, disease-specific survival and overall survival rates associated with various clinicopathological characteristics.

Table II.

Univariate Cox proportional hazards analysis for the risk of tumor recurrence, disease-specific survival and overall survival rates associated with various clinicopathological characteristics.

Recurrence-free survivalDisease-specific survivalOverall survival



CharacteristicHZR (95% CI)P-valueHZR (95% CI)P-valueHZR (95% CI)P-value
Age, years
  ≤60 vs. >601.57 (0.56–4.41)0.3941.54 (0.57–4.18)0.3961.74 (0.62–4.84)0.291
Menopausal status
  Pre vs. post1.82 (0.58–5.72)0.3051.87 (0.60–5.82)0.2771.25 (0.43–3.66)0.686
Depth of MI
  Negative/<50% vs. ≥50%6.59 (1.88–23.15)   0.003a8.06 (1.79–36.43)0.007a6.70 (1.92–23.33)   0.003a
LVSI
  Negative vs. positive2.70 (1.01–7.25)   0.049a4.48 (1.38–14.55)0.013a3.60 (1.33–9.73)   0.012a
Adnexal involvement
  Negative vs. positive4.74 (1.50–14.92)   0.008a6.04 (1.81–20.14)0.003a4.30 (1.36–13.57)   0.013a
Cervical involvement
  Negative/mucosal vs. interstitial3.25 (1.18–8.95)   0.023a1.64 (0.45–5.96)0.4561.70 (0.55–5.24)0.353
PLNM
  Negative vs. positive3.90 (1.34–11.36)   0.013a9.67 (3.21–29.11) <0.001a5.57 (2.10–14.77)   0.001a
Tumor diameter, cm
  <2 vs. ≥21.69 (0.47–6.09)0.4211.83 (0.52–6.51)0.3481.66 (0.46–5.97)0.437
Para-aortic lymphadenectomy
  Negative vs. positive1.39 (0.31–6.25)0.6671.38 (0.31–6.20)0.6740.04 (0.00–90.54)0.417

a Statistically significant (P<0.05). HZR, hazard ratio; CI, confidence interval; MI, myometrial invasion; LVSI, lymph vascular space invasion; PLNM, pelvic lymph node metastasis.

Multivariate analysis (Table III) identified MI ≥50% (HZR, 4.91; 95% CI, 1.02–23.57; P=0.047) and adnexal involvement (HZR, 4.29; 95% CI, 1.07–17.15; P=0.040) were associated with RFS. For DSS, MI ≥50% (HR, 4.83; 95% CI, 1.06–22.04; P=0.042) and adnexal involvement (HR, 4.04; 95% CI, 1.04–15.60; P=0.043) were also independent prognostic factors.

Table III.

Multivariate Cox proportional hazards analysis for the risk of tumor recurrence, disease-specific survival and overall survival rates associated with various clinicopathological characteristics.

Table III.

Multivariate Cox proportional hazards analysis for the risk of tumor recurrence, disease-specific survival and overall survival rates associated with various clinicopathological characteristics.

Recurrence-free survivalDisease-specific survivalOverall survival



CharacteristicHZR (95% CI)P-valueHZR (95% CI)P-valueHZR (95% CI)P-value
Age, years
  ≤60 vs. >600.76 (0.19–3.05)0.6990.72 (0.18–2.84)0.6401.00 (0.20–4.85)0.996
Menopausal status
  Pre vs. post2.41 (0.59–9.88)0.2202.93 (0.71–12.03)0.1361.50 (0.32–6.94)0.604
Depth of MI
  Negative/<50% vs. ≥50%4.91 (1.02–23.57)0.047a4.83 (1.06–22.04)0.042a3.87 (0.77–19.35)0.099
LVSI
  Negative vs. positive1.92 (0.53–6.90)0.3182.08 (0.59–7.33)0.2542.17 (0.61–7.77)0.234
Adnexal involvement
  Negative vs. positive4.29 (1.07–17.15)0.040a4.04 (1.04–15.60)0.043a2.62 (0.61–11.21)0.196
Cervical involvement
  Negative/mucosal vs. interstitial1.15 (0.29–4.51)0.8471.05 (0.27–4.05)0.9430.51 (0.09–2.72)0.428
PLNM
  Negative vs. positive1.77 (0.42–7.56)0.4402.89 (0.78–10.66)0.1112.21 (0.58–8.41)0.246
Tumor diameter, cm
  <2 vs. ≥20.45 (0.10–2.13)0.3170.50 (0.11–2.26)0.3700.72 (0.17–3.03)0.653
Para-aortic lymphadenectomy
  Negative vs. positive1.18 (0.24–5.88)0.8400.98 (0.20–4.87)0.9820.83 (0.27–4.16)0.983

a Statistically significant (P<0.05). HZR, hazard ratio; CI, confidence interval; MI, myometrial invasion; LVSI, lymph vascular space invasion; PLNM, pelvic lymph node metastasis.

For all G3EEC patients, the OS, RFS and DSS were 70.8, 80.5 and 81.9%, respectively. When survival curves were stratified by MI, there was a significant increase in RFS and DSS rates for patients with tumors with MI <50% compared with those with MI ≥50% (Fig. 1). In addition, adnexal involvement was a negative prognostic factor for RFS and DSS (Fig. 2). Furthermore, OS rate, RFS and DSS clearly differed between the LIR, HIR and HR groups, as shown in Fig. 3.

Discussion

The present retrospective review evaluated a group of 117 G3EEC patients treated in a single institution, and examined the prognostic variables associated with recurrence and survival status. The present study identified a recurrence rate of ~13.7%, which is lower than the 19.6% (10/51) reported by a previous study by Kim et al (12). This difference may be due to the FIGO stages identified. In the present study, early stage (I and II) tumors accounted for 82.1% of the patients, which is increased compared with 80.4% observed by Kim et al (12). However, Gayar et al (13) reported a recurrence rate of 23.6% (26/110) in G3 patients with early-stage tumors (FIGO stage I–II), which is increased compared with 13.7% (16/117 patients) observed in the present study. The OS rate in the present study was 70.8%, which was lower compared with 81.0% identified in a previous study including patients of all grades (14). This difference supports the hypothesis that G3 patients have a worse prognosis.

Although the vaginal cuff is the most common site for tumor recurrence following a hysterectomy in early-stage endometrial carcinoma patients, with locoregional recurrence rates of 4–8% (8,15), Rasool et al (16) reported a high rate of distant recurrence in patients with stage I G3EEC and a risk of extra-pelvic recurrence of 80%, which is higher compared with local regional recurrence. In a previous study of 28 cases with stage IV G3EEC, recurrence was observed in 6 cases, and all of these were distant recurrence (17). With a relatively large sample size, the present study suggests that both regional and distal recurrence occurs in patients with G3EEC. Of the 16 patients in the present study with G3 tumors that had recurrence, 10 patients (55.6%) had a component of distant failure, which is similar to the results demonstrated by Kim et al (12), who revealed 1 local regional, 3 lymphatic and 6 hematogenous distant failure recurrences in 10 G3EEC patients. Therefore, the majority of G3 patients have a tendency for distant recurrence and may succumb to disease, suggesting that current loco-regional adjuvant treatment strategies, including brachytherapy and pelvic radiotherapy, are not beneficial and additional systemic therapies are required.

In agreement with other studies (1820), which demonstrated that MI is associated with an increasing risk of tumor failure and has a negative affect on survival, the present study suggests that MI is a clear adverse predictor of tumor recurrence and survival end points. Depth of MI has been recognized as an independent prognostic factor for patients with stage I and II endometrial adenocarcinoma (21) and is the clearest predictor of distant failure and mortality from disease in stage I endometrial cancer (18). MI ≥66% was identified as the only independent predictor of disease-free survival (DFS) and RFS in 229 patients with stage I epithelial endometrial cancer of all subtypes (18). Additionally, in a previous study of 213 patients with endometrial cancer, MI >50% is clear risk for extra-uterine metastases (22). Furthermore, patients with MI >50% had a >6-fold higher prevalence of pelvic lymph node metastases compared with patients with MI <50% (22). Depth of MI has also been revealed to be an independent predictor of pelvic relapse in a multivariate analysis (23). Hematogenous dissemination is defined as tumor spread to the lung, liver or other site via hematogenous routes. Mariani et al (24) reported that the presence of deep MI was the clearest predictor of hematogenous dissemination in corpus cancer. The present study also revealed that MI ≥50% was a statistically significant characteristic associated with a decrease in DSS and RFS rates. In the current study, the RFS and DSS rates were 59.8 and 70.2% for patients with deep MI (≥50%), compared to 95.3 and 94.0% for patients with superficial MI (<50%), respectively. In conclusion, MI ≥50% is the most important prognostic factor for G3EEC patients, and patients with deep MI require a more aggressive therapy and more frequent observation to monitor the presence or absence of recurrence.

However, there are contrary views concerning the importance of MI. Certain studies have demonstrated that in patients with early stage endometrial cancer, MI does not appear to be associated with patient outcomes, including RFS (25), DSS (25), OS (25,26) and DFS (26). Chattopadhyay et al (20) reported that tumor size was the only independent predictor for distant recurrence and mortality from disease in stage I EEC, while MI only predicted distant failure. In the present study, distant failure was the main G3EEC recurrence site; therefore, the study by Chattopadhyay et al supports the present results to a certain extent. Overall, the inconsistencies observed with MI may be due to differences in stage or grade amongst selected patients and the various definitions of MI; depths of >1/3 (26), >50% (22) and ≥66% (18) are all regarded as cut-off values for deep MI in various studies, indicating that in endometrial cancer, the depth of MI has various roles according to the severity of the disease. In previous studies MI has been associated with certain biochemical indicators, including levels of free insulin-like growth factor-1 plasma (27), nucleoporin (88kDa)-mRNA expression (28) and endoplasmic reticulum-β (29). An association was also demonstrated between tumor-associated macrophages and depth of MI (30).

The present study demonstrated that, in G3EEC patients, adnexal involvement is also a risk factor for recurrence and disease-related mortality. Adnexal metastasis is associated with omental metastasis (31) and para-aortic lymph node metastasis (32). The risk of tumor recurrence in patients with adnexal involvement is 4.29-fold higher compared with patients without adnexal involvement, which is consistent with the results demonstrated by Hétu et al (33), who reported that patients with metastasis to the adnexa have a higher risk of recurrence. With regard to DSS, Jobsen et al (34) reported that the 7-year DSS rate was 71.8% for patients with adnexal involvement in stage IIIA endometrial carcinoma. In the present study, patients with positive adnexal involvement had a 4.04-fold higher risk of disease-related mortality compared with patients without adnexal involvement.

The GOG99 trial was a randomized controlled trial comparing postoperative pelvic radiotherapy to no additional treatment in stage IB, IC or IIA endometrial carcinoma of any histological grade (8). GOG99 revealed that age, grade, LVSI and MI are factors that influence the risk of relapse. In the present study, risk stratification was revealed to have a negative association with the outcome of patients using univariate cox proportional hazards analysis. In a previous study, HIR patients had a decreased OS rate compared with patients that were not classified as HIR (35). The present results revealed that the prognosis of patients clearly differed between the LIR, HIR and HR groups in G3EEC. DSS, OS rate and RFS were 97.6, 95.7 and 96.1% for the LIR group, 76.9, 58.4 and 69.8% in the HIR group, and 56.6, 56.6 and 68.4% for the HR group, respectively. However, in the univariate cox proportional hazards analysis, compared with the LIR group, patients in the HIR and HR groups demonstrated 5.30 and 11.04-fold decrease in RFS, 5.01 and 27.41-fold decrease in DSS and 4.20 and 13.14-fold decrease in OS rates, respectively. In the multivariate Cox proportional hazards analysis, risk classification was not an independent factor, which may be due to risk stratification being associated with conventional prognostic indicators (8,36). Therefore, the present study hypothesizes that the criteria of risk stratification is associated with the prognostic status of G3EEC patients, but is not an independent factor.

In conclusion, the present results suggest that in patients with G3EEC MI ≥50% and adnexal involvement are significant risk factors affecting RFS and DSS. The present study has also demonstrated that in patients with G3EEC, GOG99 risk stratification had an association with the patient outcome of relapse and survival. Based on these findings, the risk factors of G3EEC evaluated by the present study may be used to evaluate the outcome of patients. Patients with MI ≥50% or positive adnexal involvement should undergo more aggressive therapy and a more rigorous follow-up plan. The limitations of the present study include the inherent biases of a retrospective single institution study design. Furthermore, the study population was relatively small due to the strict selection criteria. Additional larger prospective studies examining the same type of patient population are required to verify the present findings.

Acknowledgement

The present study was supported by the National Natural Science Foundation of China (Beijing, China; grant no. 30973185).

Glossary

Abbreviations

Abbreviations:

G3EEC

grade 3 endometrioid endometrial carcinoma

RFS

recurrence-free survival

DSS

disease-specific survival

OS

overall survival

FIGO

international federation of gynecology and obstetrics

PLNM

positive lymph nodes metastasis

GOG

the gynecologic oncology group

MI

myometrial invasion

LVSI

lymph vascular space invasion

LIR

low-intermediate risk

HIR

high-intermediate risk

HR

high-risk

References

1 

Galaal K, Al Moundhri M, Bryant A, Lopes AD and Lawrie TA: Adjuvant chemotherapy for advanced endometrial cancer. Cochrane Database Syst Rev. 5:CD0106812014.PubMed/NCBI

2 

Emily K, Clark L, Franasiak J, Bae-Jump V and Gehrig P: Obesity portends a significantly higher risk of recurrence in women with grade 3 endometrial carcinoma: A call to action. Gynecolo Oncol. 125(Supp 1): S1582012. View Article : Google Scholar

3 

Sorosky JI: Endometrial cancer. Obstetr Gynecol. 120:383–397. 2012. View Article : Google Scholar

4 

Tangjitgamol S1, Anderson BO, See HT, Lertbutsayanukul C, Sirisabya N, Manchana T, Ilancheran A, Lee KM, Lim SE, Chia YN, et al: Asian Oncology Summit: Management of endometrial cancer in Asia: consensus statement from the Asian Oncology Summit 2009. Lancet Oncol. 10:1119–1127. 2009. View Article : Google Scholar : PubMed/NCBI

5 

Felix AS, Stone RA, Bowser R, Chivukula M, Edwards RP, Weissfeld JL and Linkov F: Comparison of survival outcomes between patients with malignant mixed mullerian tumors and high-grade endometrioid, clear cell, and papillary serous endometrial cancers. Int J Gynecol Cancer. 21:877–884. 2011. View Article : Google Scholar : PubMed/NCBI

6 

Del Carmen MG, Boruta DM II and Schorge JO: Recurrent endometrial cancer. Clin Obstet Gynecol. 54:266–277. 2011. View Article : Google Scholar : PubMed/NCBI

7 

Morrow CP, Bundy BN, Kurman RJ, Creasman WT, Heller P, Homesley HD and Graham JE: Relationship between surgical-pathological risk factors and outcome in clinical stage I and II carcinoma of the endometrium: A gynecologic oncology group study. Gynecol Oncol. 40:55–65. 1991. View Article : Google Scholar : PubMed/NCBI

8 

Keys HM, Roberts JA, Brunetto VL, Zaino RJ, Spirtos NM, Bloss JD, Pearlman A, Maiman MA and Bell JG: Gynecologic Oncology Group: A phase III trial of surgery with or without adjunctive external pelvic radiation therapy in intermediate risk endometrial adenocarcinoma: A gynecologic oncology group study. Gynecol Oncol. 92:744–751. 2004. View Article : Google Scholar : PubMed/NCBI

9 

Ioffe Y, Delic L, Amneus M, Leuchter R, Karlan B, Li A, Walsh C, Lentz S, Farias-Eisner R and Cass I: Before and after GOG 99: Did our practice patterns for treatment of intermediate risk endometrial adenocarcinoma change? Gynecol Oncol. 116:5952010. View Article : Google Scholar

10 

Rankins NC, Secord AA, Jewell E, Havrilesky LJ, Soper JT and Myers E: Cost-effectiveness of adjuvant radiotherapy in intermediate risk endometrial cancer. Gynecol Oncol. 106:388–393. 2007. View Article : Google Scholar : PubMed/NCBI

11 

Edge S, Byrd DR, Compton CC, Fritz AG, Greene FL and Trotti A: Gynecologic Sites - Corpus Uteri. AJCC Cancer Staging Manual (7th). Springer. (New York). 4032010.

12 

Kim HJ, Kim TJ, Lee YY, Choi CH, Lee JW, Bae DS and Kim BG: A comparison of uterine papillary serous, clear cell carcinomas, and grade 3 endometrioid corpus cancers using 2009 FIGO staging system. J Gynecol Oncol. 24:120–127. 2013. View Article : Google Scholar : PubMed/NCBI

13 

Gayar OH, Patel S, Schultz D, Mahan M, Rasool N and Elshaikh MA: The impact of tumor grade on survival end points and patterns of recurrence of 949 patients with early-stage endometrioid carcinoma: A single institution study. Int J Gynecol Cancer. 24:97–101. 2014. View Article : Google Scholar : PubMed/NCBI

14 

Tejerizo-García A, Jiménez-López JS, Muñoz-González JL, Bartolomé-Sotillos S, Marqueta-Marqués L, López-González G and Gómez JF: Overall survival and disease-free survival in endometrial cancer: Prognostic factors in 276 patients. Onco Targets Ther. 9:1305–1313. 2013.PubMed/NCBI

15 

Creutzberg CL, van Putten WL, Koper PC, Lybeert ML, Jobsen JJ, Wárlám-Rodenhuis CC, De Winter KA, Lutgens LC, van den Bergh AC, van de Steen-Banasik E, et al: Surgery and postoperative radiotherapy versus surgery alone for patients with stage-1 endometrial carcinoma: Multicentre randomised trial. PORTEC study group. Post operative radiation therapy in endometrial carcinoma. Lancet. 355:1404–1411. 2000. View Article : Google Scholar : PubMed/NCBI

16 

Rasool N, Fader AN, Seamon L, Neubauer NL, Shahin FA, Alexander HA, Moore K, Moxley K, Secord AA, Kunos C, et al: Stage I, grade 3 endometrioid adenocarcinoma of the endometrium: An analysis of clinical outcomes and patterns of recurrence. Gynecol Oncol. 116:10–14. 2010. View Article : Google Scholar : PubMed/NCBI

17 

Long KC, Zhou Q, Hensley ML, Alektiar KM, Gomez J, Gardner GJ, Chi DS, Barakat RR and Abu-Rustum NR: Patterns of recurrence in 1988 FIGO stage IC endometrioid endometrial cancer. Gynecol Oncol. 125:99–102. 2012. View Article : Google Scholar : PubMed/NCBI

18 

Mariani A, Webb MJ, Keeney GL, Lesnick TG and Podratz KC: Surgical stage I endometrial cancer: Predictors of distant failure and death. Gynecol Oncol. 87:274–280. 2002. View Article : Google Scholar : PubMed/NCBI

19 

Lindauer J, Fowler JM, Manolitsas TP, Copeland LJ, Eaton LA, Ramirez NC and Cohn DE: Is there a prognostic difference between depth of myometrial invasion and the tumor-free distance from the uterine serosa in endometrial cancer? Gynecol Oncol. 91:547–551. 2003. View Article : Google Scholar : PubMed/NCBI

20 

Chattopadhyay S, Cross P, Nayar A, Galaal K and Naik R: Tumor size: A better independent predictor of distant failure and death than depth of myometrial invasion in international federation of gynecology and obstetrics stage I endometrioid endometrial cancer. Int J Gynecol Cancer. 23:690–697. 2013. View Article : Google Scholar : PubMed/NCBI

21 

Zaino RJ, Kurman RJ, Diana KL and Morrow CP: Pathologic models to predict outcome for women with endometrial adenocarcinoma: The importance of the distinction between surgical stage and clinical stage-a gynecologic oncology group study. Cancer. 77:1115–1121. 1996. View Article : Google Scholar : PubMed/NCBI

22 

Larson DM, Connor GP, Broste SK, Krawisz BR and Johnson KK: Prognostic significance of gross myometrial invasion with endometrial cancer. Obstet Gynecol. 88:394–398. 1996. View Article : Google Scholar : PubMed/NCBI

23 

Patel S, Portelance L, Gilbert L, Tan L, Stanimir G, Duclos M and Souhami L: Analysis of prognostic factors and patterns of recurrence in patients with pathologic stage III endometrial cancer. Int J Radiat Oncol Biol Phys. 68:1438–1445. 2007. View Article : Google Scholar : PubMed/NCBI

24 

Mariani A, Webb MJ, Keeney GL, Calori G and Podratz KC: Hematogenous dissemination in corpus cancer. Gynecol Oncol. 80:233–238. 2001. View Article : Google Scholar : PubMed/NCBI

25 

Gemer O, Uriev L, Harkovsky T, Peled R, Ben-Dor D, Barak F and Seqal S: The significance of the degree of myometrial invasion in patients with stage IB endometrial cancer. Eur J Gynaecol Oncol. 25:336–338. 2004.PubMed/NCBI

26 

Alektiar KM, McKee A, Lin O, Venkatraman E, Zelefsky MJ, Mychalczak BR, Mckee B, Hoskins WJ and Barakat RR: The significance of the amount of myometrial invasion in patients with Stage IB endometrial carcinoma. Cancer. 95:316–321. 2002. View Article : Google Scholar : PubMed/NCBI

27 

Baloglu A, Bezircioglu I, Cetinkaya B and Hicyilmaz L: Prospective clinical study of the association between plasma level of free IGF-1 and myometrial invasion min patients with endometrial adenocarcinoma. Ginekol Pol. 81:501–505. 2010.PubMed/NCBI

28 

Schneider J, Martinez-Arribas F and Torrejón R: Nup88 expression is associated with myometrial invasion in endometrial carcinoma. Int J Gynecol Cancer. 20:804–808. 2010. View Article : Google Scholar : PubMed/NCBI

29 

Takama F, Kanuma T, Wang D, Kagami I and Mizunuma H: Oestrogen receptor beta expression and depth of myometrial invasion in human endometrial cancer. Br J Cancer. 84:545–549. 2001. View Article : Google Scholar : PubMed/NCBI

30 

Soeda S, Nakamura N, Ozeki T, Nishiyama H, Hojo H, Yamada H, Abe M and Sato A: Tumor-associated macrophages correlate with vascular space invasion and myometrial invasion in endometrial carcinoma. Gynecol Oncol. 109:122–128. 2008. View Article : Google Scholar : PubMed/NCBI

31 

Sakai K, Yamagami W, Susumu N, Nomura H, Kataoka F, Banno K, Tsuda H and Aoki D: Pathological factors associated with omental metastases in endometrial cancer. Eur J Gynaecol Oncol. 36:397–401. 2015.PubMed/NCBI

32 

Turan T, Hizli D, Sarici S, Boran N, Gundogdu B, Karadag B, Tulunay G and Kose MF: Is it possible to predict para-aortic lymph node metastasis in endometrial cancer? Eur J Obstet Gynecol Reprod Biol. 158:274–279. 2011. View Article : Google Scholar : PubMed/NCBI

33 

Hétu V, Petignat P, Wu Y, Drouin P, Sauthier P, Provencher D and Gauthier P: Positive adnexal or uterine serosal involvement in stage IIIC endometrial cancer is an adverse factor for recurrence. Gynecol Obstet Invest. 67:173–177. 2009. View Article : Google Scholar : PubMed/NCBI

34 

Jobsen JJ, Ten Cate L Naudin, Lybeert ML, Scholten A, van der Steen-Banasik EM, van der Palen J, Kroese MC Stenfert, Slot A, Schutter EM and Siesling S: Outcome of Endometrial Cancer Stage IIIA with Adnexa or Serosal Involvement Only. Obstet Gynecol Int. 2011:9625182011.PubMed/NCBI

35 

Guntupalli SR, Zighelboim I, Kizer NT, Zhang Q, Powell MA, Thaker PH, Goodfellow PJ and Mutch DG: Lymphovascular space invasion is an independent risk factor for nodal disease and poor outcomes in endometrioid endometrial cancer. Gynecol Oncol. 124:31–35. 2012. View Article : Google Scholar : PubMed/NCBI

36 

Maggi R, Lissoni A, Spina F, et al: Adjuvant chemotherapy vs radiotherapy in high-risk endometrial carcinoma: results of a randomised trial. British journal of cancer. 95:266–271. 2006. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

October-2016
Volume 12 Issue 4

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Wang J, Jia N, Li Q, Wang C, Tao X, Hua K and Feng W: Analysis of recurrence and survival rates in grade 3 endometrioid endometrial carcinoma. Oncol Lett 12: 2860-2867, 2016
APA
Wang, J., Jia, N., Li, Q., Wang, C., Tao, X., Hua, K., & Feng, W. (2016). Analysis of recurrence and survival rates in grade 3 endometrioid endometrial carcinoma. Oncology Letters, 12, 2860-2867. https://doi.org/10.3892/ol.2016.4918
MLA
Wang, J., Jia, N., Li, Q., Wang, C., Tao, X., Hua, K., Feng, W."Analysis of recurrence and survival rates in grade 3 endometrioid endometrial carcinoma". Oncology Letters 12.4 (2016): 2860-2867.
Chicago
Wang, J., Jia, N., Li, Q., Wang, C., Tao, X., Hua, K., Feng, W."Analysis of recurrence and survival rates in grade 3 endometrioid endometrial carcinoma". Oncology Letters 12, no. 4 (2016): 2860-2867. https://doi.org/10.3892/ol.2016.4918