Clinicopathologic vs. Molecular Integrated Prognostication of Endometrial Carcinoma by European Guidelines
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Concin, N.; Matias-Guiu, X.; Vergote, I.; Cibula, D.; Mirza, M.R.; Marnitz, S.; Ledermann, J.; Bosse, T.; Chargari, C.; Fagotti, A.; et al. ESGO/ESTRO/ESP guidelines for the management of patients with endometrial carcinoma. Int. J. Gynecol. Cancer 2021, 31, 12–39. [Google Scholar] [CrossRef] [PubMed]
- Raffone, A.; Travaglino, A.; Mascolo, M.; Carbone, L.; Guida, M.; Insabato, L.; Zullo, F. TCGA molecular groups of endometrial cancer: Pooled data about prognosis. Gynecol. Oncol. 2019, 155, 374–383. [Google Scholar] [CrossRef] [PubMed]
- Pasanen, A.; Loukovaara, M.; Ahvenainen, T.; Vahteristo, P.; Bützow, R. Differential impact of clinicopathological risk factors within the 2 largest ProMisE molecular subgroups of endometrial carcinoma. PLoS ONE 2021, 16, e0253472. [Google Scholar] [CrossRef] [PubMed]
- Pecorelli, S. Revised FIGO staging for carcinoma of the vulva, cervix, and endometrium. Int. J. Gynecol. Obstet. 2009, 105, 103–104. [Google Scholar] [CrossRef] [PubMed]
- Pasanen, A.; Tuomi, T.; Isola, J.; Staff, S.; Bützow, R.; Loukovaara, M. L1 cell adhesion molecule as a predictor of disease-specific survival and patterns of relapse in endometrial cancer. Int. J. Gynecol. Cancer 2016, 26, 1465–1471. [Google Scholar] [CrossRef] [PubMed]
- Pasanen, A.; Ahvenainen, T.; Pellinen, T.; Vahteristo, P.; Loukovaara, M.; Bützow, R. PD-L1 expression in endometrial carcinoma cells and intratumoral immune cells: Differences across histologic and TCGA-based molecular subgroups. Am. J. Surg. Pathol. 2020, 44, 174–181. [Google Scholar] [CrossRef] [PubMed]
- Talhouk, A.; McConechy, M.K.; Leung, S.; Li-Chang, H.H.; Kwon, J.S.; Melnyk, N.; Yang, W.; Senz, J.; Boyd, N.; Karnezis, A.N.; et al. A clinically applicable molecular-based classification for endometrial cancers. Br. J. Cancer 2015, 113, 299–310. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Stelloo, E.; Nout, R.A.; Osse, E.M.; Jürgenliemk-Schulz, I.J.; Jobsen, J.J.; Lutgens, L.C.; van der Steen-Banasik, E.M.; Nijman, H.W.; Putter, H.; Bosse, T.; et al. Improved risk assessment by integrating molecular and clinicopathological factors in early-stage endometrial cancer—Combined analysis of the PORTEC cohorts. Clin. Cancer Res. 2016, 22, 4215–4224. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kandoth, C.; Schultz, N.; Cherniack, A.D.; Akbani, R.; Liu, Y.; Shen, H.; Robertson, A.G.; Pashtan, I.; Shen, R.; Benz, C.C.; et al. Integrated genomic characterization of endometrial carcinoma. Nature 2013, 497, 67–73. [Google Scholar] [PubMed] [Green Version]
- León-Castillo, A.; Britton, H.; McConechy, M.K.; McAlpine, J.N.; Nout, R.; Kommoss, S.; Brucker, S.Y.; Carlson, J.W.; Epstein, E.; Rau, T.T.; et al. Interpretation of somatic POLE mutations in endometrial carcinoma. J. Pathol. 2020, 250, 323–335. [Google Scholar] [CrossRef] [PubMed]
- León-Castillo, A.; Gilvazquez, E.; Nout, R.; Smit, V.T.H.B.M.; McAlpine, J.N.; McConechy, M.; Kommoss, S.; Brucker, S.Y.; Carlson, J.W.; Epstein, E.; et al. Clinicopathological and molecular characterisation of ‘multiple-classifier’ endometrial carcinomas. J. Pathol. 2020, 250, 312–322. [Google Scholar] [CrossRef] [PubMed]
- Loukovaara, M.; Pasanen, A.; Bützow, R. Mismatch repair protein and MLH1 methylation status as predictors of response to adjuvant therapy in endometrial cancer. Cancer Med. 2021, 10, 1034–1042. [Google Scholar] [CrossRef] [PubMed]
- Reijnen, C.; Küsters-Vandevelde, H.V.N.; Prinsen, C.F.; Massuger, L.F.A.G.; Snijders, M.P.M.L.; Kommoss, S.; Brucker, S.Y.; Kwon, J.S.; McAlpine, J.N.; Pijnenborg, J.M.A. Mismatch repair deficiency as a predictive marker for response to adjuvant radiotherapy in endometrial cancer. Gynecol. Oncol. 2019, 154, 124–130. [Google Scholar] [CrossRef] [PubMed]
- Kommoss, F.K.F.; Karnezis, A.N.; Kommoss, F.; Talhouk, A.; Taran, F.A.; Staebler, A.; Gilks, C.B.; Huntsman, D.G.; Krämer, B.; Brucker, S.Y.; et al. L1CAM further stratifies endometrial carcinoma patients with no specific molecular risk profile. Br. J. Cancer 2018, 119, 480–486. [Google Scholar] [CrossRef] [PubMed]
- Wortman, B.G.; Bosse, T.; Nout, R.A.; Lutgens, L.C.H.W.; van der Steen-Banasik, E.M.; Westerveld, H.; van den Berg, H.; Slot, A.; De Winter, K.A.J.; Verhoeven-Adema, K.W.; et al. Molecular-integrated risk profile to determine adjuvant radiotherapy in endometrial cancer: Evaluation of the pilot phase of the PORTEC-4a trial. Gynecol. Oncol. 2018, 151, 69–75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Imboden, S.; Nastic, D.; Ghaderi, M.; Rydberg, F.; Siegenthaler, F.; Mueller, M.D.; Rau, T.T.; Epstein, E.; Carlson, J.W. Implementation of the 2021 molecular ESGO/ESTRO/ESP risk groups in endometrial cancer. Gynecol. Oncol. 2021, 162, 394–400. [Google Scholar] [CrossRef] [PubMed]
- Colombo, N.; Creutzberg, C.; Amant, F.; Bosse, T.; González-Martin, A.; Ledermann, J.; Marth, C.; Nout, R.; Querleu, D.; Mirza, M.R.; et al. ESMO-ESGO-ESTRO consensus conference on endometrial cancer: Diagnosis, treatment and follow-up. Ann. Oncol. 2016, 27, 16–41. [Google Scholar] [CrossRef] [PubMed]
- Léon-Castillo, A.; de Boer, S.M.; Powell, M.E.; Mileshkin, L.R.; Mackay, H.J.; Leary, A.; Nijman, H.W.; Singh, N.; Pollock, P.M.; Bessette, P.; et al. Molecular classification of the PORTEC-3 trial for high-risk endometrial cancer: Impact on prognosis and benefit from adjuvant therapy. J. Clin. Oncol. 2020, 38, 3388–3397. [Google Scholar] [CrossRef] [PubMed]
Molecular Subgroup | Number of Cases (Percent) |
---|---|
No Specific Molecular Profile | 218 (36.1%) |
Mismatch Repair Deficient | 287 (47.5%) |
Polymerase-ϵ Ultramutated | 30 (5.0%) |
p53 Abnormal | 69 (11.4%) |
Age (years) (median (interquartile range)) | 68 (60–76) |
Body mass index (kg/m2) (median (interquartile range)) | 27.3 (23.7–32.5) |
Pelvic lymphadenectomy (number of cases, percent) | 344 (57.0%) |
Pelvic–aortic lymphadenectomy (number of cases, percent) | 95 (15.7%) |
Histology | |
Endometrioid carcinoma | 535 (88.6%) |
Clear cell carcinoma | 25 (4.1%) |
Serous carcinoma | 18 (3.0%) |
Carcinosarcoma | 13 (2.2%) |
Undifferentiated carcinoma | 13 (2.2%) |
Grade (number of cases, percent) (For endometrioid only; n = 535) | |
1 | 293 (54.8%) |
2 | 155 (29.0%) |
3 | 87 (16.3%) |
Stage (number of cases, percent) | |
IA | 309 (51.2%) |
IB | 131 (21.7%) |
II | 47 (7.8%) |
IIIA | 33 (5.5%) |
IIIB | 6 (1.0%) |
IIIC1 | 40 (6.6%) |
IIIC2 | 18 (3.0%) |
IVA | 0 (0%) |
IVB | 20 (3.3%) |
Adjuvant therapy (number of cases, percent) | |
None | 81 (13.4%) |
Vaginal brachytherapy | 281 (46.5%) |
Whole pelvic radiotherapy | 92 (15.2%) |
Chemotherapy | 24 (4.0%) |
Chemotherapy + vaginal brachytherapy | 41 (6.8%) |
Chemotherapy + whole pelvic radiotherapy | 85 (14.1%) |
Molecular Subgroup | Low-Risk | Intermediate-Risk | High-Intermediate-Risk | High-Risk | Advanced/ | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Metastatic | |||||||||||||||
N | HR | p | N | HR | p | N | HR | p | N | HR | p | N | HR | p | |
(95% CI) | (95% CI) | (95% CI) | (95% CI) | (95% CI) | |||||||||||
Molecular subgroup | 0.03 | 0.988 | 0.092 | 0.608 | 0.939 | ||||||||||
NSMP | 114 | 1 | 33 | 1 | 33 | 1 | 32 | 1 | 6 | 1 | |||||
MMRd | 119 | 1.7 (0.50–5.8) | 0.397 | 48 | 1.3 (0.30–5.2) | 0.758 | 52 | 3.5 (1.2–10) | 0.024 | 61 | 1.3 (0.60–2.7) | 0.536 | 7 | 1.1 (0.32–4.1) | 0.841 |
POLEmut | 21 | Not calculable | 0.982 | 3 | Not calculable | 0.987 | 5 | Not calculable | 0.984 | 1 | Not calculable | 0.977 | 0 | - | - |
p53abn | 10 | 9.1 (2.0–41) | 0.004 | 9 | 1.4 (0.15–14) | 0.77 | 10 | 0.84 (0.094–7.5) | 0.879 | 29 | 1.7 (0.77–4.0) | 0.185 | 11 | 1.2 (0.39–4.0) | 0.724 |
Molecular Integrated Classification Schema | |||||
---|---|---|---|---|---|
Clinicopathologic Risk Group | ProMisE | N (%) | Leiden | N (%) | p |
Low-risk (LR) | 1 p53abn to IMR | 10/264 (3.8%) | 1 p53abn to IMR | 10/218 (4.6%) | 0.661 |
9 p53abn to HR | 9 p53abn to HR | ||||
Intermediate-risk (IMR) | 3 POLEmut to LR | 10/93 (10.8%) | 3 POLEmut to LR | 10/77 (13.0%) | 0.653 |
7 p53abn to HR | 7 p53abn to HR | ||||
High-intermediate-risk | 5 POLEmut to LR | 15/100 (15.0%) | 6 POLEmut to LR | 16/88 (18.2%) | 0.557 |
10 p53abn to HR | 10 p53abn to HR | ||||
High-risk (HR) | 1 POLEmut to LR | 1/123 (0.8%) | 2 POLEmut to LR | 2/109 (1.8%) | 0.603 |
Advanced/metastastic | - | 0/24 (0%) | - | 0/23 (0%) | 0.602 |
All | 36/604 (6.0%) | 38/515 (7.4%) | 0.341 |
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Loukovaara, M.; Pasanen, A.; Bützow, R. Clinicopathologic vs. Molecular Integrated Prognostication of Endometrial Carcinoma by European Guidelines. Cancers 2022, 14, 651. https://doi.org/10.3390/cancers14030651
Loukovaara M, Pasanen A, Bützow R. Clinicopathologic vs. Molecular Integrated Prognostication of Endometrial Carcinoma by European Guidelines. Cancers. 2022; 14(3):651. https://doi.org/10.3390/cancers14030651
Chicago/Turabian StyleLoukovaara, Mikko, Annukka Pasanen, and Ralf Bützow. 2022. "Clinicopathologic vs. Molecular Integrated Prognostication of Endometrial Carcinoma by European Guidelines" Cancers 14, no. 3: 651. https://doi.org/10.3390/cancers14030651
APA StyleLoukovaara, M., Pasanen, A., & Bützow, R. (2022). Clinicopathologic vs. Molecular Integrated Prognostication of Endometrial Carcinoma by European Guidelines. Cancers, 14(3), 651. https://doi.org/10.3390/cancers14030651