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Erschienen in: World Journal of Surgical Oncology 1/2023

Open Access 01.12.2023 | Research

Comparison of clinical characteristics and prognosis in endometrial carcinoma with different pathological types: a retrospective population-based study

verfasst von: Gong Zhang, Fangfang Nie, Weinan Zhao, Pin Han, Jing Wen, Xiaoran Cheng, Weijia Wu, Qianwen Liu, Yi Sun, Yuanpei Wang, Yuchen Liu, Fang Ren

Erschienen in: World Journal of Surgical Oncology | Ausgabe 1/2023

Abstract

Background

Endometrial carcinoma (EC) is the second most common gynecological malignancy, and the differences between different pathological types are not entirely clear. Here, we retrospectively collected eligible EC patients to explore their differences regarding clinical characteristics and prognosis.

Methods

Five hundred seventy EC patients from the First Affiliated Hospital of Zhengzhou University were included. Prognostic factors were measured using the univariate/multivariate Cox models. Overall survival (OS) and progression-free survival (PFS) were the primary and secondary endpoints, respectively.

Results

In total, 396 patients with uterine endometrioid carcinoma (UEC), 106 patients with uterine serous carcinoma (USC), 34 patients with uterine mixed carcinoma (UMC), and 34 patients with uterine clear cell carcinoma (UCCC) were included. Comparison of baseline characteristics revealed patients diagnosed with UEC were younger, had more early clinical stage, and had lower incidence of menopause and lymph node metastasis. Compared to UEC, other pathological EC obtained more unfavorable OS (UCCC: HR = 12.944, 95%CI = 4.231–39.599, P < 0.001; USC: HR = 5.958, 95%CI = 2.404–14.765, P < 0.001; UMC: HR = 1.777, 95%CI = 0.209–15.114, P = 0.599) and PFS (UCCC: HR = 8.696, 95%CI = 1.972–38.354, P = 0.004; USC: HR = 4.131, 95%CI = 1.243–13.729, P = 0.021; UMC: HR = 5.356, 95%CI = 0.935–30.692, P = 0.060). Compared with UEC patients, the OS of UCCC patients in stage I–II and USC patients in stage III–IV were significantly worse, while UMC patients in stage I–II favored poorer PFS. The OS of UCCC patients receiving no postoperative adjuvant therapy or chemotherapy alone were significantly worse.

Conclusions

The baseline characteristics of UEC and other rare EC types varied greatly, and the prognostic significance of different pathological types on EC patients depended on clinical tumor stages and therapeutic options.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12957-023-03241-0.
Gong Zhang, Fangfang Nie, and Weinan Zhao contributed equally to this manuscript.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
EC
Endometrial carcinoma
OS
Overall survival
PFS
Progression-free survival
UEC
Uterine endometrioid carcinoma
USC
Uterine serous carcinoma
UMC
Uterine mixed carcinoma
UCCC
Uterine clear cell carcinoma
FIGO
International Federation of Gynecology and Obstetrics

Background

EC is still one of the most fatal malignant tumors, resulting in 417,367 new cases and 97,370 fatalities in 2020 worldwide [1]. Indeed, the etiological factors of EC remain uncharted. It is generally believed that EC can be divided into two different types based on pathogenesis and biological behavior characteristics, namely estrogen-dependent (type I) and estrogen-independent (type II). Among these, type I is predominately UEC, accounting for 80% of EC cases. While type II is mainly composed of different pathological types (e.g., USC, UCCC, UMC), accounting for 15–20% of all EC cases [24]. Patients with type II EC obtain a lower 5-year survival rate compared to those with type I EC, and it is estimated that type II EC causes over 45% of EC-related deaths [58]. However, there are few studies comparing the differences in baseline characteristics and prognosis between rare pathological subtypes and type I EC simultaneously, which needs further exploration.
Previous studies have revealed that type I and type II EC displayed completely different genomic and molecular characteristics, which may affect a patient’s prognosis by reshaping biological behavior and drug response [9, 10]. For example, genomic variations of PTEN, PIK3CA, PIK3R1, KRAS, ARID1A, and CTNNB1 are more common in type I EC, while mutations in TP53, PPP2R1A, PIK3CA, and FBXW7 are more common in type II EC [11, 12]. Previous studies have identified specific risk factors for type I (e.g., estrogen exposure, obesity, nulliparity) and type II (e.g., old age, menopause) EC cohorts [13]. Nevertheless, compared to grade 1/2 UEC, whether different pathological types can be considered as prognostic factors has rarely been investigated in EC cohorts.
Herein, we revealed prognostic factors and prognostic (OS and PFS) differences of EC patients with different pathological types by retrospectively collecting EC samples from the Department of Obstetrics and Gynecology of the First Affiliated Hospital of Zhengzhou University.

Methods

Screening of eligible EC patients

This retrospective study was approved by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University (permission number: 2023-KY-0350–002). We retrieved the hospital’s case system and identified those EC cases diagnosed with USC, UCCC, UMC, or grade 1/2 UEC, as potentially eligible patients from 2009 to 2021. The pathologic diagnosis of all included patients was reviewed by two senior pathologists. The following clinical data was collected: diagnosis data, menopausal status, age, height, body weight, pathological type, treatment program (surgery, chemotherapy, radiotherapy, etc.), the status of lymph node metastasis and cervix involvement, the depth of myometrial infiltration, the status of survival and recurrence. Patients with other malignant tumors or missing prognostic information were excluded. The clinical stage of eligible patients was redefined according to the 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system.

Processing of clinical data

In our study, OS was defined as the primary endpoint, which referred to the time from diagnosis to death or last follow-up. PFS, the secondary endpoint, was defined as the time from diagnosis to the first reported recurrence or last follow-up. Only patients with accurate OS data were included in our analysis. Subgroup analyses were performed based on the patient’s clinical stage and treatment programs.

Statistics analysis

The comparison of baseline characteristics between UCCC, USC, UMC, and UEC groups was performed using the R stats (version 4.2.1). Kaplan–Meier curves were plotted using the R survival (version 3.3.1), and the Cox regression test was used to conduct survival analyses. Prognostic factors were measured using the univariate/multivariate Cox models. P value less than 0.05 was considered statistically significant.

Results

Comparison of baseline characteristics between different pathological EC subtypes

According to the mentioned inclusion and exclusion criteria, 570 EC patients (570/2056) were included for subsequent analysis. Among them, 396 grade 1/2 UEC patients, 106 USC patients, 34 UMC patients, and 34 UCCC patients. Further comparison displayed vast differences in demographics and clinical characteristics between different pathological EC subtypes. In general, patients with USC, UCCC, or UMC were all at an older age and had a higher incidence of menopause status than those with UEC (Table 1). Except for UMC, patients with USC and UCCC were diagnosed at the more advanced clinical stage and had a higher incidence of lymph node metastasis (Table 1). Another interesting finding was that only patients with USC had higher rates of myometrial infiltration and cervix involvement compared to patients with UEC (Table 1). Overall, patients with UEC (median: 55.65 months) shared longer survival time compared to USC (median: 36.83 months), UCCC (median: 38.02 months), or UMC (median: 45.87 months), the same was true for PFS (Table 2). The rates of UEC (9.1%) patients receiving radiotherapy were significantly lower than those of UCCC (32.4%), USC (40.6%), and UMC (29.4%) patients, respectively. The rates of UEC (41.7%) patients receiving chemotherapy were significantly lower than those of USC (76.4%), and UMC (79.4%) patients, respectively (Table 2).
Table 1
Baseline characteristics of included patients with different pathological types
Characteristics
UEC
UCCC
USC
UMC
P
Pa
Pb
Pc
n
396
34
106
34
    
Age, mean ± sd
54.705 ± 8.7763
64.088 ± 9.0833
61.453 ± 8.5213
58 ± 5.1757
 < 0.001
 < 0.001
 < 0.001
0.002
Menopause, n (%)
    
 < 0.001
 < 0.001
 < 0.001
 < 0.001
 Yes
235 (59.3%)
31 (91.2%)
95 (89.6%)
32 (94.1%)
    
 No
150 (37.9%)
3 (8.8%)
10 (9.4%)
2 (5.9%)
    
 Unknown
11 (2.8%)
0 (0%)
1 (0.9%)
0 (0%)
    
 BMI, median (IQR)
25.462 (23.422, 28.134)
26.531 (22.481, 28.125)
24.654 (22.638, 27.447)
25.1 (23.508, 26.667)
0.480
0.933
0.162
0.430
Stage, n (%)
    
 < 0.001
 < 0.001
 < 0.001
 < 0.627
 IV
2 (0.5%)
1 (2.9%)
11 (10.4%)
0 (0%)
    
 III
27 (6.8%)
6 (17.6%)
26 (24.5%)
4 (11.8%)
    
 II
6 (1.5%)
2 (5.9%)
7 (6.6%)
1 (2.9%)
    
 I
361 (91.2%)
21 (61.8%)
59 (55.7%)
29 (85.3%)
    
 Unknown
0 (0%)
4 (11.8%)
3 (2.8%)
0 (0%)
    
Myometrial infiltration (> = 1/2), n (%)
    
 < 0.001
0.090
 < 0.001
0.182
 Yes
70 (17.7%)
4 (11.8%)
49 (46.2%)
10 (29.4%)
    
 No
297 (75%)
24 (70.6%)
50 (47.2%)
23 (67.6%)
    
 Unknown
29 (7.3%)
6 (17.6%)
7 (6.6%)
1 (2.9%)
    
Cervix involvement, n (%)
    
 < 0.001
0.142
 < 0.001
0.073
 Yes
18 (4.5%)
4 (11.8%)
23 (21.7%)
3 (8.8%)
    
 No
333 (84.1%)
25 (73.5%)
80 (75.5%)
31 (91.2%)
    
 Unknown
45 (11.4%)
5 (14.7%)
3 (2.8%)
0 (0%)
    
Lymph node metastasis, n (%)
    
 < 0.001
0.008
 < 0.001
0.053
 Yes
19 (4.8%)
6 (17.6%)
31 (29.2%)
2 (5.9%)
    
 No
299 (75.5%)
23 (67.6%)
62 (58.5%)
31 (91.2%)
    
 Unknown
78 (19.7%)
5 (14.7%)
13 (12.3%)
1 (2.9%)
    
UEC uterine endometrioid carcinoma, USC uterine serous carcinoma, UMC uterine mixed carcinoma, UCCC uterine clear cell carcinoma, BMI body mass index
aP UEC versus UCCC
bP UEC versus USC
cP UEC versus UMC
Table 2
Adjuvant treatment regimens and prognosis of included patients with different pathological types
Characteristics
UEC
UCCC
USC
UMC
P
Pa
Pb
Pc
n
396
34
106
34
    
Chemotherapy, n (%)
    
 < 0.001
0.052
 < 0.001
 < 0.001
 Yes
165 (41.7%)
20 (58.8%)
81 (76.4%)
27 (79.4%)
    
 No
231 (58.3%)
14 (41.2%)
25 (23.6%)
7 (20.6%)
    
Radiotherapy, n (%)
    
 < 0.001
 < 0.001
 < 0.001
 < 0.001
 Yes
36 (9.1%)
11 (32.4%)
43 (40.6%)
10 (29.4%)
    
 No
360 (90.9%)
23 (67.6%)
63 (59.4%)
24 (70.6%)
    
OS, n (%)
    
 < 0.001
 < 0.001
 < 0.001
1.000
 Alive
384 (97%)
25 (73.5%)
81 (76.4%)
33 (97.1%)
    
 Dead
12 (3%)
9 (26.5%)
25 (23.6%)
1 (2.9%)
    
 OS-time(months), median (IQR)
55.65 (46.42, 71.13)
38.02 (27.36, 55.58)
36.83 (25.48, 60.08)
45.87 (34.88, 62.93)
 < 0.001
 < 0.001
 < 0.001
0.001
PFS, n (%)
    
 < 0.001
 < 0.001
 < 0.001
0.227
 Stable
380 (96%)
24 (70.6%)
75 (70.8%)
31 (91.2%)
    
 Recurrent
9 (2.3%)
5 (14.7%)
11 (10.4%)
2 (5.9%)
    
 Unknown
7 (1.8%)
5 (14.7%)
20 (18.9%)
1 (2.9%)
    
PFS-time(months), median (IQR)
55.90 (46.43, 71.13)
41.10 (31.33, 56.53)
40.93 (26.53, 62.53)
45.67 (36.83, 62.97)
 < 0.001
 < 0.001
 < 0.001
 < 0.001
UEC uterine endometrioid carcinoma, USC uterine serous carcinoma, UMC uterine mixed carcinoma, UCCC uterine clear cell carcinoma, OS overall survival, PFS progression-free survival
aP UEC versus UCCC
bP UEC versus USC
cP UEC versus UMC

Comparison of prognosis between different pathological EC subtypes

To measure the prognostic effects of different pathological types on prognosis in EC (PFS and OS), we plotted Kaplan–Meier survival curves based on collected data. As shown in Fig. 1, patients with USC or UCCC significantly favored poorer OS and PFS compared to those with UEC. Further univariate and multivariate logistic regression analyses were used to identify independent factors affecting patients’ prognosis in the entire EC population included. For OS, age (HR = 1.050, 95%CI = 1.010–1.091, P = 0.014) and myometrial infiltration (> = 1/2) (HR = 3.390, 95%CI = 1.506–7.631, P = 0.003) were independent factors associated with patients’ unfavorable prognosis in EC (Table 3). Except for UMC (HR = 1.777, 95%CI = 0.209–15.114, P = 0.599), patients with USC (HR = 5.958, 95%CI = 2.404–14.765, P < 0.001), and UCCC (HR = 12.944, 95%CI = 4.231–39.599, P < 0.001) favored unfavorable OS (Table 3).
Table 3
Univariate and multivariate Cox regression analysis for OS
Characteristics
No
Univariate analysis
Multivariate analysis
Hazard ratio (95% CI)
P
Hazard ratio (95% CI)
P
Age
570
1.108 (1.075—1.142)
 < 0.001
1.050 (1.010—1.091)
0.014
Menopause
570
 
 < 0.001
  
 No
165
Reference
 
Reference
 
 Yes
393
10.403 (2.523–42.893)
0.001
2.758 (0.580–13.128)
0.202
 Unknown
12
0.000 (0.000–Inf)
0.996
0.000 (0.000–Inf)
0.997
 BMI
255
1.025 (0.927–1.134)
0.627
  
Chemotherapy
570
 
0.857
  
 No
277
Reference
   
 Yes
293
0.949 (0.535–1.682)
0.857
  
Radiotherapy
570
 
0.448
  
 No
470
Reference
   
 Yes
100
1.320 (0.656–2.655)
0.436
  
Stage
570
 
 < 0.001
  
 I
470
Reference
 
Reference
 
 II
16
2.926 (0.684–12.522)
0.148
1.177 (0.223–6.217)
0.848
 III
63
6.122 (3.088–12.137)
 < 0.001
1.075 (0.218–5.300)
0.929
 IV
14
28.979 (12.307–68.238)
 < 0.001
3.873 (0.936–16.032)
0.062
 Unknown
7
17.109 (5.030–58.193)
 < 0.001
0.489 (0.062–3.839)
0.496
Myometrial infiltration (> = 1/2)
570
 
 < 0.001
  
 No
394
Reference
 
Reference
 
 Yes
133
6.269 (3.300–11.910)
 < 0.001
3.390 (1.506–7.631)
0.003
 Unknown
43
3.764 (1.354–10.463)
0.011
0.791 (0.138–4.539)
0.793
Cervix involvement
570
 
 < 0.001
  
 No
469
Reference
 
Reference
 
 Yes
48
4.992 (2.526–9.866)
 < 0.001
0.912 (0.390–2.133)
0.831
 Unknown
53
2.850 (1.293–6.283)
0.009
4.820 (1.300–17.866)
0.019
Lymph node metastasis
570
 
 < 0.001
  
 No
415
Reference
 
Reference
 
 Yes
58
10.920 (5.600–21.294)
 < 0.001
3.333 (0.761–14.604)
0.110
 Unknown
97
3.401 (1.609–7.191)
0.001
4.153 (1.623–10.626)
0.003
Pathological type
570
 
 < 0.001
  
 UEC
396
Reference
 
Reference
 
 UCCC
34
12.166 (5.106–28.987)
 < 0.001
12.944 (4.231–39.599)
 < 0.001
 USC
106
10.606 (5.306–21.199)
 < 0.001
5.958 (2.404–14.765)
 < 0.001
 UMC
34
1.205 (0.156–9.280)
0.858
1.777 (0.209–15.114)
0.599
UEC uterine endometrioid carcinoma, USC uterine serous carcinoma, UMC uterine mixed carcinoma, UCCC uterine clear cell carcinoma, BMI body mass index, OS overall survival
For PFS, age (HR = 1.091, 95%CI = 1.021–1.166, P = 0.010), myometrial infiltration (> = 1/2) (HR = 3.788, 95%CI = 1.255–11.427, P = 0.018), and cervix involvement (HR = 6.253, 95%CI = 1.620–24.138, P = 0.008) had negative effects on patient prognosis. Meanwhile, patients with USC (HR = 4.131, 95%CI = 1.243–13.729, P = 0.021) and UCCC (HR = 8.696, 95%CI = 1.972–38.354, P = 0.004) still favored unfavorable PFS (Table 4).
Table 4
Univariate and multivariate Cox regression analysis for PFS
Characteristics
No
Univariate analysis
Multivariate analysis
Hazard ratio (95% CI)
P
Hazard ratio (95% CI)
P
Age
536
1.097 (1.054–1.143)
 < 0.001
1.091 (1.021–1.166)
0.010
Menopause
536
 
0.027
  
 No
162
Reference
 
Reference
 
 Yes
363
3.610 (1.084–12.025)
0.037
0.539 (0.109–2.677)
0.450
 Unknown
11
0.000 (0.000–Inf)
0.997
0.000 (0.000–Inf)
0.998
BMI
237
0.962 (0.846–1.095)
0.558
  
Chemotherapy
536
 
0.066
  
 No
261
Reference
 
Reference
 
 Yes
275
2.125 (0.923–4.892)
0.076
0.609 (0.207–1.791)
0.368
Radiotherapy
536
 
0.002
  
 No
440
Reference
 
Reference
 
 Yes
96
3.684 (1.692–8.024)
0.001
1.096 (0.375–3.209)
0.867
Stage
536
 
0.025
  
 I
457
Reference
 
Reference
 
 II
15
3.744 (0.861–16.290)
0.078
0.524 (0.073–3.788)
0.522
 III
53
4.193 (1.724–10.197)
0.002
0.000 (0.000–Inf)
0.997
 IV
7
5.798 (0.759–44.274)
0.090
0.000 (0.000–Inf)
0.998
 Unknown
4
0.000 (0.000–Inf)
0.997
0.143 (0.000–Inf)
1.000
Myometrial infiltration (> = 1/2)
536
 
 < 0.001
  
 No
384
Reference
 
Reference
 
 Yes
114
5.562 (2.523–12.262)
 < 0.001
3.788 (1.255–11.427)
0.018
 Unknown
38
0.000 (0.000–Inf)
0.997
0.000 (0.000–Inf)
0.998
Cervix involvement
536
 
 < 0.001
  
 No
448
Reference
 
Reference
 
 Yes
41
9.638 (4.224–21.994)
 < 0.001
6.253 (1.620–24.138)
0.008
 Unknown
47
2.232 (0.635–7.839)
0.210
4.724 (0.929–24.014)
0.061
Lymph node metastasis
536
 
0.001
  
 No
406
Reference
 
Reference
 
 Yes
44
5.487 (2.344–12.847)
 < 0.001
406749342.7904 (0.000–Inf)
0.997
 Unknown
86
0.598 (0.138–2.602)
0.493
1.044 (0.204–5.340)
0.959
Pathological type
536
 
 < 0.001
  
 UEC
389
Reference
 
Reference
 
 UCCC
29
10.192 (3.400–30.548)
 < 0.001
8.696 (1.972–38.354)
0.004
 USC
85
6.432 (2.603–15.895)
 < 0.001
4.131 (1.243–13.729)
0.021
 UMC
33
3.070 (0.663–14.228)
0.152
5.356 (0.935–30.692)
0.060
UEC uterine endometrioid carcinoma, USC uterine serous carcinoma, UMC uterine mixed carcinoma, UCCC uterine clear cell carcinoma, BMI body mass index, PFS progression-free survival

Subgroup analysis based on patients’ clinical stages and postoperative adjuvant therapy

To measure whether the effects of identified prognostic factors for EC patients change in different clinical stages or treatments group, we further divided all patients into two subtypes according to their clinical stages and postoperative adjuvant therapy. For EC patients in clinical stage I–II, age (HR = 1.142, 95%CI = 1.078–1.210, P < 0.001) and myometrial infiltration (> = 1/2) (HR = 3.316, 95%CI = 1.075–10.230, P = 0.037) were independent prognostic factors for OS, and only patients with UCCC (HR = 4.799, 95%CI = 1.121–20.546, P = 0.035) favored poorer prognosis compared to those with UEC (Table 5). For EC patients in clinical stage III-IV, radiotherapy (HR = 0.144, 95%CI = 0.044–0.464, P = 0.001) and lymph node metastasis (HR = 10.666, 95%CI = 1.303–87.304, P = 0.027) had different effects on OS. Patients with USC (HR = 5.950, 95%CI = 1.613–21.951, P = 0.007) achieved worse OS compared to those with UEC (Table 6). Interestingly, only patients with UMC (HR = 6.896, 95%CI = 1.078–44.122, P = 0.041) in stage I–II favored poorer PFS compared to those with UEC (Supplementary Table S1 and S2).
Table 5
Univariate and multivariate Cox regression for OS of stage I–II
Characteristics
No
Univariate analysis
Multivariate analysis
Hazard ratio (95% CI)
P
Hazard ratio (95% CI)
P
Age
486
1.150 (1.095–1.207)
 < 0.001
1.142 (1.078–1.210)
 < 0.001
BMI
197
1.117 (0.974–1.280)
0.114
  
Chemotherapy
486
 
0.401
  
 No
257
Reference
   
 Yes
229
0.696 (0.297—1.634)
0.405
  
Radiotherapy
486
 
0.071
  
 No
422
Reference
 
Reference
 
 Yes
64
2.551 (0.998–6.520)
0.050
1.382 (0.478–3.998)
0.550
Myometrial infiltration (> = 1/2)
486
 
0.003
  
 No
369
Reference
 
Reference
 
 Yes
83
4.721 (2.003–11.131)
 < 0.001
3.316 (1.075–10.230)
0.037
 Unknown
34
1.193 (0.152–9.342)
0.866
0.857 (0.089–8.284)
0.894
Cervix involvement
486
 
0.061
  
 No
421
Reference
 
Reference
 
 Yes
22
3.994 (1.155–13.810)
0.029
1.657 (0.392–7.011)
0.493
 Unknown
43
2.773 (0.917–8.391)
0.071
4.522 (0.961–21.270)
0.056
Lymph node metastasis
486
 
0.106
  
 Unknown
86
Reference
   
 No
400
0.457 (0.186–1.121)
0.087
  
Pathological type
486
 
 < 0.001
  
 UEC
367
Reference
 
Reference
 
 UCCC
23
9.390 (2.878–30.641)
 < 0.001
4.799 (1.121–20.546)
0.035
USC
66
6.059 (2.332–15.745)
 < 0.001
2.996 (0.852–10.529)
0.087
 UMC
30
1.719 (0.217–13.618)
0.608
2.493 (0.278–22.353)
0.414
UEC uterine endometrioid carcinoma USC uterine serous carcinoma, UMC uterine mixed carcinoma, UCCC uterine clear cell carcinoma, BMI body mass index, OS overall survival
Table 6
Univariate and multivariate Cox regression for OS of stage III–IV
Characteristics
No
Univariate analysis
Multivariate analysis
Hazard ratio (95% CI)
P
Hazard ratio (95% CI)
P
Age
77
1.042 (1.000—1.085)
0.052
0.977 (0.915–1.043)
0.480
Menopause
77
 
0.036
  
 No
15
Reference
 
Reference
 
 Yes
58
3.336 (0.775–14.360)
0.106
2.256 (0.282–18.033)
0.443
 Unknown
4
0.000 (0.000–Inf)
0.998
0.000 (0.000–Inf)
0.999
BMI
54
0.908 (0.757–1.089)
0.298
  
Chemotherapy
77
 
0.029
  
 No
15
Reference
 
Reference
 
 Yes
62
0.356 (0.149–0.851)
0.020
0.524 (0.183–1.497)
0.228
Radiotherapy
77
 
0.002
  
 No
42
Reference
 
Reference
 
 Yes
35
0.217 (0.073–0.641)
0.006
0.144 (0.044–0.464)
0.001
Myometrial infiltration (> = 1/2)
77
 
0.128
  
 No
25
Reference
   
 Yes
50
2.292 (0.765–6.870)
0.139
  
 Unknown
2
9.137 (0.989–84.410)
0.051
  
Lymph node metastasis
77
 
0.023
  
 No
15
Reference
 
Reference
 
 Yes
58
6.157 (0.823–46.057)
0.077
10.666 (1.303–87.304)
0.027
 Unknown
4
17.198 (1.535–192.721)
0.021
16.373 (1.302–205.940)
0.030
Pathological type
77
 
 < 0.001
  
 UEC
29
Reference
 
Reference
 
 UCCC
7
3.393 (0.563–20.450)
0.182
5.367 (0.692–41.590)
0.108
 USC
37
7.694 (2.206–26.830)
0.001
5.950 (1.613–21.951)
0.007
 UMC
4
0.000 (0.000–Inf)
0.998
0.000 (0.000–Inf)
0.998
UEC uterine endometrioid carcinoma, USC uterine serous carcinoma, UMC uterine mixed carcinoma, UCCC uterine clear cell carcinoma, BMI body mass index, OS overall survival
The proportion of included patients receiving surgery was very high (UEC: 396/396; UCCC: 32/34; USC: 102/106; UMC: 34/34), and surgery could not be used as a prognostic factor for subsequent analysis. Therefore, patients were further divided into three different subgroups based on their postoperative adjuvant treatments: no postoperative adjuvant therapy, chemotherapy alone, or chemoradiotherapy. Compared to patients with UEC, patients with UCCC (HR = 7.414, 95%CI = 2.727–20.153, P < 0.001) favored poorer OS when treated with no postoperative adjuvant therapy, while patients with UCCC (HR = 104.291, 95%CI = 2.610–4167.444, P = 0.014) and USC (HR = 203.335, 95%CI = 8.176–5057.193, P = 0.001) also obtained poorer OS when treated with postoperative adjuvant chemotherapy alone (Supplementary Table S3, S4 and S5). Regarding PFS, only patients with USC (HR = 47.148, 95%CI = 5.062–439.127, P < 0.001) favored poorer prognosis compared to those with UEC under the treatments of postoperative adjuvant chemotherapy alone (Supplementary Table S6, S7 and S8).

Discussion

In our study, we firstly explored the differences in clinical characteristics between three types of rare EC (UCCC, USC, and UMC) and type I EC (UEC). We found that compared to patients with UEC, patients with high-risk pathological types of EC (UCCC, USC, and UMC) were older and had a higher incidence of menopause status, which was consistent with previous research results [14, 15]. This phenomenon could be partly explained by the UEC being caused by higher estrogen exposure. Furthermore, we found that age was an independent risk factor for patients’ prognosis in the entire EC population included or some subgroup analyses. Previous studies have suggested a correlation between the occurrence of EC and high BMI [16]. However, we did not find significant differences between different pathological types in BMI. BMI was not an independent risk factor for patient prognosis in the entire EC population included, nor was it in subgroup analysis. The impact of BMI on carcinogenesis and patient prognosis in EC needs further exploration in the future.
We also explored whether different pathological types could serve as independent prognostic factors for EC. We concluded that the pathological subtypes of USC and UCCC were unfavorable prognosis factors for OS and PFS, while the UMC subtype was not. Compared to UEC, further subgroup analyses revealed that UCCC and USC were unfavorable prognosis factors for OS only in the early (stage I–II) and advanced stages (stage III–IV), respectively. On the contrary, UCCC or USC were no longer considered unfavorable prognosis factors in the early (stage I–II) and advanced (stage III–IV) stages for PFS as no significant differences were achieved in the corresponding subgroup analysis. In the future, it is necessary to collect more patients and further explore the impact of different pathological types on patients’ prognoses through more nuanced groups.
Although USC solely accounts for 10% of EC, it leads to nearly 40% of EC-related deaths [17]. Similar to previous studies, we also found that the prognosis of USC was far worse than that of UEC. In our study, the fractions of USC with stage III–IV (34.9%), myometrial infiltration (46.2%), cervix involvement (21.7%), and lymph node metastasis (29.2%) were the highest among all pathological subtypes, which could partly explain its negative effects on unfavorable prognosis. USC was an independent unfavorable prognosis factor for OS when patients were diagnosed at stage III-IV, indicating that once USC had pelvic and peritoneal metastasis, its biological behavior was closer to that of ovarian high-grade serous carcinoma, namely metastatic dissemination. Previous studies also have revealed that USC could share a similar biological behavior with advanced ovarian serous cancer, with high genomic mutation rates of HRD signaling pathway and disordered cell-cycle regulation [1820]. All these findings may deepen the pathogenesis of USC, and contribute to finding suitable therapeutic treatments.
UCCC is another rare pathological subtype with high malignancy risk, accounting for approximately 2 to 5% of all EC cases [21, 22]. Previous studies revealed that patients with UCCC were usually diagnosed at an advanced stage, and could be susceptible to chemoresistance [12, 23]. Here, we found that among UCCC patients, 20.5% were in stage III/IV, a proportion significantly higher than that observed in patients with UEC (7.3%). Patients with UCCC had significantly poorer OS and PFS than those with UEC. Further subgroup analyses revealed that only patients with UCCC in stage I/II achieved unfavorable OS, while those with USC or UMC did not. Actually, we found that 47.8% of included patients with UCCC in stage I/II did not undergo postoperative adjuvant radiotherapy or chemotherapy, which was inconsistent with current NCCN guidelines [24]. Combined with its remarkably negative impact on the prognosis in stage I/II, we speculated that the poorer prognosis of early-stage UCCC could be due to the low proportion of postoperative adjuvant therapy, similar to some previous studies [25, 26]. Based on the above findings, our study supports the application of postoperative adjuvant treatment (chemotherapy, radiotherapy, or chemoradiotherapy) in early-stage UCCC patients. In the future, more UCCC samples should be included for further analysis.
UMC, as an extremely rare pathological type, accounting for approximately 3–8% of EC cases, has drawn attention in recent years. In 2014, the World Health Organization (WHO) defined UMC as a mixed EC composed of two or more pathological types, with at least one type II EC accounting for 10% [27]. Currently, whether the coexistence of type II EC components will affect the prognosis of patients remains elusive. A large-scale clinical study containing 934 patients compared the prognostic differences between UMC and pure USC, and no significant differences were found regarding OS and PFS [28]. The conclusions drawn from other studies with small sample sizes also varied greatly. Boruta et al. found that when the proportion of USC in UMC components was greater than 50%, patients had poorer PFS and OS [29]. Nevertheless, Nikolaos Thomakos et al. found that there was no difference in the prognosis between UMC and other type II EC, regardless of the proportions of other type II EC components in UMC [30]. In our study, we compared the prognostic differences between UMC and UEC, and we found there was no significant difference in prognosis between UMC and UEC, which may be due to the components of involved pathological types. Here, the major components of UMC were endometrioid carcinoma and other type II EC (82.35%), and the presence of endometrioid adenocarcinoma may improve the prognosis of patients to some extent. However, for those UMC patients completely composed of type II EC, it is still uncertain whether it will lead to a worse clinical prognosis due to the sample size of this study. Moreover, different molecular typing can also have a certain impact on the prognosis of patients. In the future, it is necessary to further expand the sample size and improve molecular typing for better analysis.
Although our study has concluded some novel findings, it still has its inherent limitations. Firstly, as few type II EC patients with different pathological types were included, we were unable to identify specific factors affecting patient prognosis for each pathological subtype. Secondly, the proportion of included patients receiving surgery was very high (UEC: 396/396; UCCC: 32/34; USC: 102/106; UMC: 34/34), so surgery could not be used as a prognostic factor for subsequent analysis. Thirdly, the included patients rarely received postoperative adjuvant radiotherapy alone, so radiotherapy alone could not be further analyzed in subgroup analysis. Last but not least, uterine carcinosarcoma is one of the main types of type II EC. However, we found that only limited EC patients with uterine carcinosarcoma met the inclusion criteria, and we did not include them in our study as a subgroup for subsequent analysis. We should include more eligible uterine carcinosarcomas by performing a multicenter retrospective analysis in the future.

Conclusions

The baseline characteristics of UEC were remarkably different from those of UCCC, USC, and UMC. The prognostic significance of different pathological types on EC patients depended on clinical tumor stages and therapeutic options.

Acknowledgements

Not applicable.

Declarations

This study was approved by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University (permission number: 2023-KY-0350–002).
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Metadaten
Titel
Comparison of clinical characteristics and prognosis in endometrial carcinoma with different pathological types: a retrospective population-based study
verfasst von
Gong Zhang
Fangfang Nie
Weinan Zhao
Pin Han
Jing Wen
Xiaoran Cheng
Weijia Wu
Qianwen Liu
Yi Sun
Yuanpei Wang
Yuchen Liu
Fang Ren
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
World Journal of Surgical Oncology / Ausgabe 1/2023
Elektronische ISSN: 1477-7819
DOI
https://doi.org/10.1186/s12957-023-03241-0

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