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Submitted: August 11, 2023 | Approved: July 07, 2024 | Published: July 08, 2024

How to cite this article: Mousli A, Cherif MA, Benna M, Yousfi A, Zaraa A, Abidi R, et al. Pattern of LRR in Endometrial Cancer and Identification of Predictive Factors. Clin J Obstet Gynecol. 2024; 7(3): 078-083. https://dx.doi.org/10.29328/journal.cjog.1001169

DOI: 10.29328/journal.cjog.1001169

Copyright License: © 2024 Mousli A, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: Endometrial cancer; Loco-regional recurrence; Predictive factors; FIGO stage; Lympho-vascular space invasion; Adjuvant treatment

Abbreviations: LRR: Loco-Regional Recurrence; FIGO: International Federation of Gynecology and Obstetrics; LVSI: Lympho-Vascular Space Invasion; EBRT: External Beam Radiation Therapy; HDR: High-Dose Rate; OS: Overall Survival; PFS: Progression-Free Survival; RR: Relative Risk; CI: Confidence Interval; CTV: Clinical Target Volume; MRI: Magnetic Resonance Imaging; ESMO: European Society of Medical Oncology; APA: American Psychological Association; SPSS: Statistical Package for the Social Sciences

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Pattern of LRR in Endometrial Cancer and Identification of Predictive Factors

Alia Mousli1, Mohamed Aziz Cherif2*, Marouen Benna1, Ameni Yousfi1, Semia Zaraa1, Rim Abidi1 and Chiraz Nasr1

1Salah Azaiz Institute, Tunis El Manar University, Tunisia
2Radiation Oncology Department and Henri Mondor Breast Center, CHU Henri Mondor AP-HP (Mondor Teaching Hospital, Créteil), France

*Address for Correspondence: Mohamed Aziz Cherif, MD,MSc, Radiation Oncology Department and Henri Mondor Breast Center, CHU Henri Mondor AP-HP (Mondor Teaching Hospital, Créteil), France, Email: mohamedaziz.cherif@aphp.fr

Background: Tailored adjuvant treatment is key to managing endometrial cancer effectively. Understanding prognostic factors of loco-regional failure and the impact of adjuvant treatment can help in treatment de-escalation without compromising survival outcomes.

The aim of this study was to assess the pattern of failure in endometrial cancer patients and to determine predicting Loco-Regional Recurrence (LRR) factors.

Patients and methods: Data were collected from 214 patients treated for endometrial cancer between 2005 and 2012 in Salah Azaiez Institute in Tunisia. All patients underwent upfront surgery followed by adjuvant brachytherapy with or without external beam radiation. The median follow-up period was 44 months. Univariate and multivariate analyses were performed to identify prognostic factors for LRR.

Results: The 5-year overall survival rate was 78.1%, and the 5-year progression-free survival rate was 80.1%. LRR occurred in 25 patients (11.6%), with a median recurrence time of 29 months (range 4 months - 46 months). Pelvic relapse was the most common site, occurring in 10 patients. Vaginal relapses were observed in 9 patients, and retro-peritoneal relapses were observed in 6 cases. FIGO stage, tumor grade, histologic type, Lympho-Vascular Space Invasion (LVSI), and delays in adjuvant treatment were significant predictors of LRR.

Conclusion: Identifying prognostic factors for LRR in endometrial cancer is crucial for optimizing adjuvant treatment strategies. Higher FIGO stages and the presence of LVSI were independent predictive factors for LRR. Tailored adjuvant treatment, taking these prognostic factors into account, is essential to improve patient outcomes and minimize unnecessary treatment-related toxicity.

Endometrial cancer is the most frequent gynecological malignancy in women after breast cancer in Europe and the USA [1], with a rising incidence globally. In Tunisia, the incidence has increased from 1.75 cases per 100,000 women per year in 1998 to 3.94 cases per 100,000 women per year in 2008 [1]. Despite advancements in treatment, approximately 13% of endometrial cancer cases relapse within two years of follow-up [2]. These recurrences significantly impact survival, with a median survival of less than 12 months upon relapse [3]. Loco-Regional Recurrences (LRRs) are particularly challenging, as they are often associated with distant metastases in three-quarters of cases [4]. Currently, no salvage therapy for recurrent endometrial cancer has demonstrated curative efficacy, underscoring the importance of identifying prognostic factors to guide adjuvant treatment.

Loco-regional recurrence is defined as the reappearance of cancer in the vaginal, pelvic, or retro-peritoneal regions after initial treatment [2]. Factors such as tumor grade, histologic subtype, lymphovascular space invasion (LVSI), and FIGO stage have been identified as significant predictors of LRR [5,6]. Specifically, high-grade tumors and type II histologic subtypes, including serous and clear-cell carcinomas, are associated with poorer outcomes [5,6].

This study aims to assess the patterns of LRR in endometrial cancer patients treated with upfront surgery followed by adjuvant brachytherapy, with or without External Beam Radiation Therapy (EBRT). By identifying the key predictive factors for LRR, we seek to inform better clinical decision-making and optimize adjuvant treatment strategies to improve patient outcomes.

We reviewed 214 cases treated in a single cancer institute between 2005 and 2012. Inclusion criteria were: Histologically proven epithelial primary tumor of the endometrium, initial workup consisting of a full-body scan, and upfront surgery. Exclusion criteria were: primary sarcomas and other rare primary endometrial tumors, distant metastases at diagnosis, vaginal primary adenocarcinoma, R2 type resection, and local progression at referral.

Tumor classification was established with the 2009 International Federation of Gynecology and Obstetrics (FIGO) classification for all the patients including those treated between 2005 and 2008. Stage I was subdivided into low, intermediate, and high risk following the revised FIGO staging [7]. Type I endometrial cancer was defined by the presence of an endometrioïd adenocarcinoma in 95% of the tumor or more including the material of curettage, this category also included squamous differentiation. Type II endometrial cancer was defined by the presence of a serous or mucinous or clear-cell or mixed-cell component in more than 5% of the tumor including the material of curettage.

All the patients had a uterine curettage proving an endometrial cancer before upfront surgery. Surgery consisted of at least a hysterectomy and a bilateral oophorectomy. Pelvic lymph node dissection was omitted in patients with an MRI showing a tumor invading less than 50% of the uterine wall and no pelvic lymph node involvement or in patients unfit for complete staging. Omentectomy, appendectomy, and retroperitoneal lymph node dissection were considered in type II endometrial cancer, with signs of involvement in baseline body scan and prop findings. Pelvic exenteration was performed in stage IVa patients depending on bladder and/or rectal invasion.

External Beam Radiation Therapy (EBRT) was performed in all stage II, III, and IV patients when deemed feasible. In stage I patients, all patients with type II histologic cancer, Lympho-Vascular Space Invasion (LVSI), and invasion of more than 50% of the uterine wall were considered for EBRT.

The technique used was conventional radiation therapy in all cases using Cobalt 60 gamma rays and 18 MV X-photons in case of obesity. In the case of pelvic irradiation, 4-field box therapy was used with the Clinical Target Volume (CTV) encompassing the tumor bed, and regional lymph nodes (external, internal, and common iliac nodes and presacral nodes). CTV comprised lumbar nodes in case of a documented histologic infiltration. The prescribed dose was 45 to 50.4 Gy, 1.8 to 2 Gy, and 5 fractions a week. Chemotherapy was used in stage III and IV. The protocol used was 3-week Cisplatine-Adriamycine in Mullerian tumors and Carboplatine-Paclitaxel in the other histologic subtypes. It consisted of a total of 3 to 4 infusions.

Vaginal vault High-Dose-Rate (HDR) brachytherapy was indicated in all patients. The isotope used was Iridium 192. Prior to treatment, a Nucletron GM1 1004160 applicator was placed. The prescription point was 5 mm deep.

After the completion of the treatment, a periodic follow-up was scheduled. Patients were seen every 3 months the first 2 years after treatment, every 6 months the 3 following years, and annually until death or loss of contact. Clinical examination was performed at every consultation, and pelvic ultrasonography and chest X-rays were performed twice a year in the first 2 years, then annually in the 3 following years. In case of an anomaly on these exams or new symptoms, appropriate explorations were indicated in case by case.

Loco-Regional Recurrence (LRR) was defined as a relapse in the vaginal and/or the pelvic area and/or in the retro-peritoneal area after 3 months of the completion of the treatment. Any other event within 3 months of the last treatment was considered to be a failure to control the disease. Vaginal relapses were all explored with appropriate biopsies. Retroperitoneal, pelvic, and distant recurrences were diagnosed with radiological exploration alone. Overall Survival (OS) was defined from the date of the diagnosis until death or the date of last contact. Progression-Free Survival (PFS) was calculated from the date of the diagnosis until documented progression.

Statistical analysis was performed using SPSS 17.0. OS and PFS were calculated using the Kaplan-Meier method. A Univariate Log-Rank test was used to identify prognostic factors with a risk of error α= 0.05. Multivariate analysis used the Cox regression method to identify independent prognostic factors.

The mean age was 58.9 ranging from 28 to 83. 177 of our patients (78%) were in menopause. Obesity was identified in 103 of our patients (48.1%) and 41 patients (19.1%) had a metabolic syndrome. Type I endometrial cancer was found in 162 patients (75.7%) and type II endometrial cancer in 52 patients (24.3%). LVSI was found in 23 patients (10.7%). 164 patients had stage I disease, 30 had stage II disease, 33 had stage III disease and 5 had stage IV disease. Among the 164 patients with stage I, 76 patients (46.3%) were in the low-risk group, 36 patients (21.9%) were in the intermediate-risk group and 34 patients (21.1%) were in the high-risk group. The patient’s characteristics are shown in Table 1.

Table 1: Patients’ characteristics.
Characteristics    
Median age   58.9 (28 years - 83 years)
Mean tumor size   43.7 mm (15 mm - 180 mm)
Histologic subtype Type I 162 (75.7%)
Type II 52 (24.3%)
LVSI
Absent                      191 (89.3%)
Present 23 (10.7)
Uterine wall invasion> = 50%   68 (31.7%)
Cervix invasion   50 (23.3%)
Lymph-node dissection Pelvic 165 (77.1%)
Para-aortic 14 (6.5%)
FIGO Staging I 146 (68.2%)
II 30 (14%)
III 33 (15.4%)
IV 5 (2.3%)
Stage I subgroups Low-risk 76 (51.3%)
Intermediate-risk 36 (25.3%)
High-risk 34 (23.2%)

All the patients had an upfront surgery comprising at least a bilateral oophorectomy with a hysterectomy. In 15 cases (7%), omentectomy with appendectomy was performed in patients who had a histologic type II (7 cases), suspicious ovarian tumor (4 cases), and suspicion of limited peritoneal carcinomatosis (4 cases). The mean tumor greater dimension was 43.7mm on histologic findings. Surgery on pelvic lymph nodes was performed in 165 cases (77.1%). In 138 cases (83.62%), it was a pelvic lymph node dissection and 27 cases (16.38%) had a pelvic lymph node sampling. In 14 cases, surgery on retro-peritoneal lymph nodes was performed. 9 patients had a retroperitoneal lymph node dissection and 5 had a retro-peritoneal lymph node sampling. Retro-peritoneal lymph node surgery was indicated in 9 cases for a type II histologic cancer, 4 cases for pre-op suspect lymph nodes, and 3 cases for radiological suspicion of retro-peritoneal lymph node involvement. The 5 patients with stage IV cancer had pelvic exenteration.

Half of the patients had EBRT. The clinical target volume encompassed at least the tumor bed and the external and internal iliac lymph nodes. 2 (1.8%) patients had retroperitoneal lymph node irradiation. Doses varied between 40 Gy and 50.4 Gy, with 5 weekly fractions of 1.8 to 2 Gy. The mean delay between adjuvant external beam radiation therapy and surgery was 4.35 months, with 55% of the cases receiving adjuvant radiation therapy more than 3 months after surgery. Treatment interruptions were observed in 33 cases (15.4%) and in 16 cases (7.4%) the interruption lasted more than 7 days.

HDR brachytherapy was performed for all of our patients. The 109 patients (50.9%) who did not receive external beam radiation therapy received 20 Gy in 4 weekly fractions. The 72 patients (33.7%) that were treated with 45 Gy or less with external beam radiation therapy received 8 Gy in 2 weekly fractions. The 37 patients (17.3%) that were treated with more than 45 Gy received a single 6 Gy fraction.

Fourteen patients (6.5%) received chemotherapy. 8 patients received a 3-weekly infusion of Paclitaxel-Carboplatin and 6 patients received a 3-weekly infusion of Doxorubicin-Cisplatin. Sequential chemotherapy was done in 11 cases and concomitant chemotherapy in 3 cases.

After a median follow-up of 44 months, 172 patients (80.8%) were in remission. 42 patients (19.1%) relapsed. 25 patients (11.6%) had an LRR (LRR). In 9 cases (4.2%), the relapse was in the vaginal vault. In 10 cases (4.6%), the relapse was in the pelvic area, and in 6 cases (2.8%), the relapse was in the retro-peritoneum. The median delay to relapse in isolated loco-regional relapses was 29 months [4-46]. In the case of LRR associated with distant metastases, the median delay to relapse was 17 months [6-55]. 5-year Overall Survival (OS) was 78.1%. 5-year progression-free survival (PFS) was 84.9%.

Univariate analysis has shown that grade 2–3 endometrial cancer was associated with more loco-regional relapses than grade 1 (21% vs. 9%, p = 0.01). Type II was associated with more frequent loco-regional relapses than type I (21.1% vs. 8.6%, p = 0.01). LVSI was a predictive factor of LRR 3.6% vs. 78.2% p = 0.0003. FIGO stage was a predictive factor of LRR with 7.3% relapses in stage I-II and 28.9% of relapses in stage III-IV p = 0.001. Incomplete resection was associated with more frequent LRR than complete resections (50% vs. 9.8% p = 0.0001). The patients who received adjuvant treatment more than 3 months after surgery had more LRR than patients who were treated within 3 months of surgery (23.3% vs. 8% p = 0.02). Suboptimal treatment delivery defined by an interruption of treatment superior to 7 days was associated with a more frequent LRR than optimal treatment delivery (37.5% vs. 13.1% p = 0.018). Univariate analysis in Table 2.

Table 2: Univariate analysis results of LRR prognostic factors.
  Number LRR (%) p
Age < 60 years
Age ⩾ 60ans
107
103
10 (9.3%)
15 (14.5%)
< 0.05
Stage I
II
III
IV
146
30
33
5
8 (5.4%)
5 (16.6%)
10 (30.3%)
1 (20%)
0.0001
Low-risk
Intermediate-risk
High-risk
76
36
34
4 (5.2%)
3 (8.33%)
1 (3%)
< 0.05
Type I
Type II
162
52
14 (8.6%)
11 (21.1%)
0.01
Grade1
Grade 2-3
102
60
12 (9%)
13 (21.6%)
0.01
< 50 % Uterine wall invasion
⩾ 50 % Uterine wall invasion
129
85
12 (9.3%)
13 (15.2%)
< 0.05
Tumor larger diameter < 4 cm
Tumor larger diameter ⩾ 4cm
44
61
4 (9%)
11 (18%)
< 0.05
LVSI +
LVSI -
23
191
18 (9.4%)
7 (3.6%)
0.0003
Lymph-node invasion
Present
Absent
  20
158
  6 (30%)
19 (12%)
  0.0003
Complete resection
Marginal resection
204
10
20 (9.8%)
5 (50%)
0.0001
Treatment halted⩾7 DAYS
Treatment halted < 7 DAYS or no interruption
16
91
6 (37.5%)
12 (13.1)
0.018
Delay between surgery and adjuvant treatment
⩾ 3 months
< 3 months
  60
49
  14 (23.3%)
4 (8%)
  0.02

Multivariate Cox analysis showed that FIGO stage was an independent LRR predictive factor (adjusted RR 4.6, 95% CI 1,217 to 77.84, p = 0,03) and LVSI was also an independent LRR predictive factor (RR 4.31, 95% CI 1.07 to 9.84, p = 0.037). Multivariate analysis results are shown in Table 3.

Table 3: Multivariate analysis of LRR prognostic factors.
Prognostic factors p Adjusted RR 95% CI
Histologic subtype 0.052 3.75 [0.976 - 67.27]
LVSI 0.037 4.31 [1.07 - 9.84]
Lymph-node invasion 0.066 3.37 [0.113 - 1.073]
Quality of resection 0.088 2.9 [0.83 - 14.58]

In stage I patients, relapses were distant in 9 patients (4.1%), vaginal in 4 patients (2.7%), and pelvic in 3 patients (2%). In stage II patients, relapses were distant in 5 patients (16%), vaginal in 3 patients (10%), and pelvic in 1 patient (3.3%). In stage III patients, relapses were distant in 10 patients (30.3%), vaginal in 1 patient (3%), pelvic in 5 patients (15.1%), and retroperitoneal in 4 patients (12%). In stage IV patients, relapses were distant in 2 patients, vaginal and pelvic in 1 patient.

In stage I patients, the low-risk group experienced 1 vaginal relapse (1.3%), 2 pelvic relapses (2.6%), and 3 distant relapses (3.9%). The intermediate-risk group experienced 2 vaginal relapses (5.5%), 1 pelvic relapse (2.7%), and 1 distant relapse (2.7%). The high-risk group experienced 1 vaginal relapse (3%), no pelvic relapses, and 5 distant relapses (14.7%). Relapses by the FIGO stage are shown in Table 4.

Table 4: pattern of LRR by FIGO stage.
  Vaginal relapse(%) Pelvic relapse (%) Retroperitoneal relapse (%)
Stage I 2,7 2 0.6
Low-risk 1,3 2,6 1.3
Intermediate-risk 5,5 2,7 0
High-risk 3 0 0
Stage II 10 3,3 3,3
Stage III 3 15,1 12
Stage IV 1 1 0

5-year OS in patients with loco-regional relapses was significantly lower than patients free of relapse 16.9% vs 87.9% (p < 0.00001). 5-year distant relapse-free survival was significantly higher in patients achieving loco-regional control 88.4% vs. 55.5% (p < 0.00001).

Around 20% of patients with endometrial cancer experience a relapse 15% in the vaginal, 35% in the pelvic area, and 50% in the retroperitoneum and distant metastases [8]. A review of 16 retrospective studies cumulating 2922 patients demonstrated that predictive factors for loco-regional control were: FIGO stage, histologic subtypes, histologic grade, uterine wall invasion, and lymph node involvement [2]. We elicited the FIGO stage, histologic subtypes, histologic grade, LVSI, suboptimal treatment delivery, and delayed adjuvant treatment as prognostic factors for loco-regional control. In our study, the FIGO stage and LVSI were identified as independent prognostic factors. FIGO staging is based on the assessment of uterine extension (uterine wall involvement, cervical invasion, or the adnexa of the uterus), local extra-uterine extension (parametrium, vagina, rectum, and bladder), and lymph node extension (pelvic and retro-peritoneal). All of these are well-established prognostic factors [9].

Uterine wall invasion is an established loco-regional prognostic factor. Retrospective evaluation of PORTEC 1 and PORTEC 2 patients showed that the invasion of more than 50% of the uterine wall was associated with worse overall survival and loco-regional and distant control [10]. External beam radiation therapy was indicated in most of our patients with an invasion of more than 50% of the uterine wall and could explain why this factor did not impact loco-regional control. Analysis of the PORTEC 1 trial and GOG 99 trial data revealed that some patients in the stage I intermediate-risk group could benefit from external beam radiation therapy [10,11]. A stratification of the intermediate-risk group using age> 60 years, grade 3, and LVSI permitted to subdivide intermediate-risk group into two groups low-intermediate risk where EBRT reduced loco-regional failure from 20% to 5% and a high-intermediate risk where EBRT reduced loco-regional failure from 6% to 2% [11,12].

The presence of LVSI, and suboptimal treatment delivery (delays in adjuvant therapy and treatment interruptions) are significant predictors of poor loco-regional control. LVSI as a prognostic factor prompted the SFOG (Société Française d’Obstétrique et de Gynécologie- French Society of Obstetrics and Gynecology) to integrate all patients with LVSI in the high-risk group of the 2009 ESMO (European Society of Medical Oncology) classification [13]. It was demonstrated that LVSI is a loco-regional failure prognostic factor and correlated with lymph node involvement [14-16].

Recent ESMO recommendations subdivided the intermediate-risk group into low-intermediate risk and high-intermediate risk groups in an effort of therapeutic de-escalation following the results of Kong and all meta-analyses [12,17]. Low-intermediate-risk patients would not receive external beam radiation therapy. In our patients, we indicated EBRT in low-intermediate-risk patients taking into account uterine wall invasion> 50%.

We found limited data about isolated vaginal relapses. Type II histologic cancer, LVSI, and uterine wall invasion > 50% were identified as prognostic factors of local relapse [15,18]. A study led by Elliot et al. reported isolated vaginal relapse at 10 years of follow-up was 3% in stage I, grade 1–2 endometrial with uterine wall invasion < 33% vs. 15% at 10 years of follow-up in patients with stage I, grade 3 and/or uterine wall invasion > 33% [18]. This shows how much disparity exists in stage I patients.

LVSI (RR = 4.27, p < 0.01), pelvic lymph-node invasion (RR = 3.43, p = 0.02), and cervix involvement (RR = 2.26, p = 0.04) were demonstrated to be independent prognostic factors of pelvic relapse in Marian et al study. In our patients, we found similar results without being able to demonstrate independent prognostic factors of lymph node relapse.

Tumor grade was shown to be a predictive factor of loco-regional control with 5 times more likely relapses in grade 3 patients compared to the same FIGO stage patients with grades 1-2 [19]. In our patients, tumor grade was shown to be a prognostic factor in univariate analysis but not in multivariate analysis mainly due to a tendency to be associated with more advanced loco-regional extension.

In our study, type II histologic cancer was associated with a worse prognosis than type 1 (61% of 5-year OS vs. 84% p < 0.05). Albertini, et al. reported a similar result with 80% of 5-year OS in patients with type I histologic cancer vs 40% with type II histologic cancer [20]. Serous carcinomas have shown a tendency to a fast and frequent peritoneal dissemination prompting the use of chemotherapy. Clear-cell carcinoma is also an aggressive subtype with a 5-year OS of 44% in stage I patients [20].

Apart from histologic characteristics, actual research is looking at many prognostic markers with promising results such as hormonal receptors (Estrogen receptors and Progesterone receptors), markers of genetic alteration (p53, c-erb2, Ki67, bcl-2), and alteration of genetic ploidy [21,22]. These emerging factors could shed new light on the outcome of treatment and lead to the development of efficient targeted therapies. Recently, L1CAM was shown to be a useful marker in decision-making for low-risk patients [23].

Recent studies have also emphasized the role of genetic and molecular factors in predicting endometrial cancer outcomes. For example, genetic markers such as p53, c-erbB-2, and L1CAM have been associated with prognosis and may inform personalized treatment approaches [22,23]. Immunohistochemical analysis has also provided insights into the behavior of different endometrial cancer subtypes, further aiding in the stratification of patients based on risk [19,24].

Recent research has highlighted the significance of genetic factors and immunohistochemical markers in the prognosis and treatment of endometrial cancer. Key genetic alterations, such as mutations in the PTEN, PIK3CA, ARID1A, and TP53 genes, have been identified as critical in the development and progression of endometrial cancer. These genetic mutations can affect cell signaling pathways, leading to uncontrolled cell growth and malignancy [25].

Immunohistochemical analysis has become a vital tool in the pathological evaluation of endometrial cancer. Markers such as Estrogen Receptors (ER), Progesterone Receptors (PR), p53, and Ki-67 are frequently assessed to provide prognostic information and guide therapeutic decisions. For example, overexpression of p53 and high Ki-67 labeling index are associated with high-grade tumors and poor prognosis, while positive ER and PR status generally indicate a better response to hormone therapy. L1 Cell Adhesion Molecule (L1CAM) is another emerging biomarker with prognostic significance. High expression of L1CAM has been correlated with aggressive tumor behavior and poor clinical outcomes. The assessment of L1CAM, along with other markers, can help stratify patients into different risk categories, thereby tailoring adjuvant treatment strategies more effectively [23].

Incorporating genetic and immunohistochemical analyses into the evaluation of endometrial cancer can enhance the understanding of tumor biology and improve personalized treatment approaches. Recent studies explore these biomarkers to validate their clinical utility and integrate them into routine clinical practice [26]. Biological and molecular findings in endometrial cancer focus on identifying biomarkers and molecular characteristics that can influence prognosis and guide treatment decisions. Traditionally, radiotherapy has been a key component in the treatment of endometrial cancer, particularly in cases where there is a higher risk of local recurrence. However, with the identification of molecular subtypes like those with POLE mutations, there is ongoing research into whether de-escalation of radiotherapy can be considered without compromising treatment outcomes [26]. For patients with endometrial cancer harboring POLE mutations and favorable prognostic features (such as low-grade tumors and absence of myometrial invasion), there is a discussion about whether adjuvant radiotherapy can be safely omitted or reduced in intensity. Several clinical trials are exploring the feasibility and safety of reducing or omitting radiotherapy in patients with favorable molecular profiles, including those with POLE mutations. These trials aim to determine if outcomes in terms of local control and overall survival remain favorable with reduced treatment intensity. It is crucial to balance the potential benefits of de-escalation (reduced treatment toxicity and morbidity) with the risk of undertreating cancer [27].

Identifying prognostic factors is pivotal in the effective management of endometrial cancer. Given the grim survival rates following relapse, it is crucial for physicians to exercise caution in reducing treatment intensity prematurely. Conversely, adjuvant therapies, such as brachytherapy or external beam radiation, carry notable risks of toxicity. The specific impact of external beam radiation therapy on intermediate-risk patients, the efficacy of brachytherapy in low-risk patients, and the potential contributions of emerging biomarkers remain uncertain. Addressing these uncertainties through well-designed clinical trials is imperative to guide treatment decisions and enhance outcomes in endometrial cancer management.

  1. Jemal A, Murray T, Ward E, Samuels A, Tiwari RC, Ghafoor A, et al. Cancer statistics, 2005. CA Cancer J Clin. 2005 Jan-Feb;55(1):10-30. Erratum in: CA Cancer J Clin. 2005 Jul-Aug;55(4):259. Available from: https://doi.org/10.3322/canjclin.55.1.10
  2. Fung-Kee-Fung M, Dodge J, Elit L, Lukka H, Chambers A, Oliver T; Cancer Care Ontario Program in Evidence-based Care Gynecology Cancer Disease Site Group. Follow-up after primary therapy for endometrial cancer: a systematic review. Gynecol Oncol. 2006 Jun;101(3):520-529. Available from: https://doi.org/10.1016/j.ygyno.2006.02.011
  3. Odagiri T, Watari H, Hosaka M, Mitamura T, Konno Y, Kato T, et al. Multivariate survival analysis of the patients with recurrent endometrial cancer. J Gynecol Oncol. 2011 Mar 31;22(1):3-8. Available from: https://doi.org/10.3802/jgo.2011.22.1.3
  4. Turan T, Ureyen I, Karalok A, Tasci T, Turkmen O, Kocak O, et al. Pulmonary recurrence in patients with endometrial cancer. J Chin Med Assoc. 2016 Apr;79(4):212-220. Available from: https://doi.org/10.1016/j.jcma.2015.10.010
  5. Lurain JR, Rice BL, Rademaker AW, Poggensee LE, Schink JC, Miller DS. Prognostic factors associated with recurrence in clinical stage I adenocarcinoma of the endometrium. Obstet Gynecol. 1991 Jul;78(1):63-69. Available from: https://pubmed.ncbi.nlm.nih.gov/2047070/
  6. Mariani A, Webb MJ, Keeney GL, Aletti G, Podratz KC. Predictors of lymphatic failure in endometrial cancer. Gynecol Oncol. 2002 Mar;84(3):437-442. doi: 10.1006/gyno.2001.6550. PMID: 11855884. Available from: https://doi.org/10.1006/gyno.2001.6550
  7. Pecorelli S. Revised FIGO staging for carcinoma of the vulva, cervix, and endometrium. Int J Gynaecol Obstet. 2009 May;105(2):103-104. doi: 10.1016/j.ijgo.2009.02.012. Erratum in: Int J Gynaecol Obstet. 2010 Feb;108(2):176. Available from: https://doi.org/10.1016/j.ijgo.2009.02.012
  8. Sartori E, Laface B, Gadducci A, Maggino T, Zola P, Landoni F, et al. Factors influencing survival in endometrial cancer relapsing patients: a Cooperation Task Force (CTF) study. Int J Gynecol Cancer. 2003 Jul-Aug;13(4):458-465. Available from: https://pubmed.ncbi.nlm.nih.gov/12911722/
  9. Barlin JN, Zhou Q, St Clair CM, Iasonos A, Soslow RA, Alektiar KM, et al. Classification and regression tree (CART) analysis of endometrial carcinoma: Seeing the forest for the trees. Gynecol Oncol. 2013 Sep;130(3):452-456. Available from: https://doi.org/10.1016/j.ygyno.2013.06.009
  10. Creutzberg CL, van Stiphout RG, Nout RA, Lutgens LC, Jürgenliemk-Schulz IM, Jobsen JJ, et al. Nomograms for prediction of outcome with or without adjuvant radiation therapy for patients with endometrial cancer: a pooled analysis of PORTEC-1 and PORTEC-2 trials. Int J Radiat Oncol Biol Phys. 2015 Mar 1;91(3):530-539. Available from: https://doi.org/10.1016/j.ijrobp.2014.11.022
  11. Keys HM, Roberts JA, Brunetto VL, Zaino RJ, Spirtos NM, Bloss JD, et al. 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. 2004 Mar;92(3):744-751. Available from: https://doi.org/10.1016/j.ygyno.2003.11.048
  12. Kong A, Johnson N, Kitchener HC, Lawrie TA. Adjuvant radiotherapy for stage I endometrial cancer: an updated Cochrane systematic review and meta-analysis. J Natl Cancer Inst. 2012 Nov 7;104(21):1625-1634. doi: 10.1093/jnci/djs374. Epub 2012 Sep 6. PMID: 22962693. Available from: https://doi.org/10.1093/jnci/djs374
  13. Querleu D, Planchamp F, Narducci F, Morice P, Joly F, Genestie C, et al. Clinical practice guidelines for the management of patients with endometrial cancer in France: recommendations of the Institut National du Cancer and the Société Française d'Oncologie Gynécologique. National Cancer Institute; French Society of Gynecological Oncology. Int J Gynecol Cancer. 2011 Jul;21(5):945-950. Available from: https://doi.org/10.1097/IGC.0b013e31821bd473
  14. Briët JM, Hollema H, Reesink N, Aalders JG, Mourits MJ, ten Hoor KA, et al. Lymphvascular space involvement: an independent prognostic factor in endometrial cancer. Gynecol Oncol. 2005 Mar;96(3):799-804. Available from: https://doi.org/10.1016/j.ygyno.2004.11.033
  15. Gadducci A, Cavazzana A, Cosio S, DI Cristofano C, Tana R, Fanucchi A, et al. Lymph-vascular space involvement and outer one-third myometrial invasion are strong predictors of distant haematogeneous failures in patients with stage I-II endometrioid-type endometrial cancer. Anticancer Res. 2009 May;29(5):1715-1720. PMID: 19443392. Available from: https://pubmed.ncbi.nlm.nih.gov/19443392/
  16. Guntupalli SR, Zighelboim I, Kizer NT, Zhang Q, Powell MA, Thaker PH, et al. Lymphovascular space invasion is an independent risk factor for nodal disease and poor outcomes in endometrioid endometrial cancer. Gynecol Oncol. 2012 Jan;124(1):31-35. Available from: https://doi.org/10.1016/j.ygyno.2011.09.017
  17. Colombo N, Creutzberg C, Amant F, Bosse T, González-Martín A, Ledermann J, et al. ESMO-ESGO-ESTRO Endometrial Consensus Conference Working Group. ESMO-ESGO-ESTRO Consensus Conference on Endometrial Cancer: Diagnosis, Treatment and Follow-up. Int J Gynecol Cancer. 2016 Jan;26(1):2-30. Available from: https://doi.org/10.1097/IGC.0000000000000609
  18. Elliott P, Green D, Coates A, Krieger M, Russell P, Coppleson M, et al. The efficacy of postoperative vaginal irradiation in preventing vaginal recurrence in endometrial cancer. Int J Gynecol Cancer. 1994 Mar;4(2):84-93. Available from: https://doi.org/10.1046/j.1525-1438.1994.04020084.x
  19. Albertini AF, Devouassoux-Shisheboran M, Genestie C. Pathology of endometrioid carcinoma. Bull Cancer. 2012 Jan;99(1):7-12. Available from: https://doi.org/10.1684/bdc.2011.1526
  20. Hentati D, Belghith B, Kochbati L, Driss M, Maalej M. Clear cell carcinoma of the uterus. Tunis Med. 2010 Apr;88(4):230-233. Available from: https://pubmed.ncbi.nlm.nih.gov/20446254/
  21. Pradhan M, Abeler VM, Danielsen HE, Sandstad B, Tropé CG, Kristensen GB, Risberg BÅ. Prognostic importance of DNA ploidy and DNA index in stage I and II endometrioid adenocarcinoma of the endometrium. Ann Oncol. 2012 May;23(5):1178-1184. Available from: https://doi.org/10.1093/annonc/mdr368
  22. Pradhan M, Davidson B, Abeler VM, Danielsen HE, Tropé CG, Kristensen GB, et al. DNA ploidy may be a prognostic marker in stage I and II serous adenocarcinoma of the endometrium. Virchows Arch. 2012 Sep;461(3):291-298. Available from: https://doi.org/10.1007/s00428-012-1275-2
  23. Zeimet AG, Reimer D, Huszar M, Winterhoff B, Puistola U, Azim SA, et al. L1CAM in early-stage type I endometrial cancer: results of a large multicenter evaluation. J Natl Cancer Inst. 2013 Aug 7;105(15):1142-1150. Available from: https://doi.org/10.1093/jnci/djt144
  24. Sorbe B. Predictive and prognostic factors in definition of risk groups in endometrial carcinoma. ISRN Obstet Gynecol. 2012;2012:325790. Available from: https://pubmed.ncbi.nlm.nih.gov/23209924/
  25. Ouh YT, Oh Y, Joo J, Woo JH, Han HJ, Cho HW, et al. Assessing the New 2020 ESGO/ESTRO/ESP Endometrial Cancer Risk Molecular Categorization System for Predicting Survival and Recurrence. Cancers (Basel). 2024 Feb 27;16(5):965. Available from: https://doi.org/10.3390/cancers16050965
  26. León-Castillo A, de Boer SM, Powell ME, Mileshkin LR, Mackay HJ, Leary A, et al. TransPORTEC consortium. Molecular Classification of the PORTEC-3 Trial for High-Risk Endometrial Cancer: Impact on Prognosis and Benefit From Adjuvant Therapy. J Clin Oncol. 2020 Oct 10;38(29):3388-3397. Available from: https://doi.org/10.1200/JCO.20.00549
  27. van den Heerik ASVM, Horeweg N, de Boer SM, Bosse T, Creutzberg CL. Adjuvant therapy for endometrial cancer in the era of molecular classification: radiotherapy, chemoradiation and novel targets for therapy. Int J Gynecol Cancer. 2021 Apr;31(4):594-604. Available from: https://doi.org/10.1136/ijgc-2020-001822