Prognostic groups in retroperitoneal well-differentiated and dedifferentiated liposarcomas
https://doi.org/10.21518/2079-701X-2021-4S-94-102
Abstract
Introduction. Liposarcoma is the most common retroperitoneal sarcoma. The majority of retroperitoneal liposarcomas are represented by highly differentiated and dedifferentiated liposarcomas. To date, clinical practice has not developed an effective method of the stratification of patients with RLPS into prognostic groups to determine the tactics of patient management.
Objective. To develop a method for stratification of patients with retroperitoneal well-differentiated (WDLPS) and dedifferentiated (DDLPS) liposarcomas into prognostic groups. Materials and methods. A retrospective study included 111 patients with WDLPS and 74 patients with DDLPS. The staging of the disease was carried out according to the modified TNM-classification, the analysis of survival was performed depending on the histological type of retroperitoneal liposarcoma (RLPS), the effect of age on overall survival (OS) was evaluated in WDLPS and DDLPS. Further, multivariate Cox regression analyzes were performed to assess the independent factors influencing the prognosis of patients. Then, we developed a methodology for stratification of patients into prognostic groups. OS and recurrence-free survival (RFS) were analyzed in accordance with it.
Results and discussion. OS and RFS were statistically significantly worse in DDLPD compared with WDLPS (p = 0.000; log-rank test). At the same time, the results of the work demonstrated the absence of a statistically significant difference in OS and RFS depending on the degree of malignancy of DDLPS. In case of WDLPS and DDLPS, significant differences in OS were achieved only between groups of patients whose age was (at the time of the initial detection of RLPS) under 60 years and older (p = 0.008; p = 0.026; logrank test). Thus, the borderline value of the age of patients, which affects the prognosis, was determined – 60 years. OS and RFS were statistically significantly different between all prognostic groups (p = 0.000; log-rank test). The highest OS was achieved in the group with a “favorable prognosis”, while the shortest OS was in the group with the extremely poor prognosis (p = 0.000; log-rank test). The median OS in the “favorable prognosis” group was 225 (95% CI, 174, 276) months; in the “intermediate prognosis” group – 130 (95% CI, 115, 145) months; in the “poor prognosis” group – 90 (95% CI, 79, 101) months; in the “extremely poor prognosis” group – 22 (95% CI, 15, 29) months. The highest RFS was achieved in the group with a “favorable prognosis”, while the shortest RFS was achieved in the group with an “extremely poor prognosis” (p = 0.000; log-rank test). The median RFS in the “favorable prognosis” group was 80 (95% CI, 65, 95) months; in the “intermediate prognosis” group – 47 (95% CI, 33, 61) months; in the “poor prognosis” group – 26 (95% CI, 24, 28) months; in the “extremely poor prognosis” group – 10 (95% CI, 6, 14) months.
Conclusion. The proposed method for stratification of patients with RLPS into prognostic groups demonstrates an adequate distribution of patients and the reliability of intergroup differences in the survival rate.
About the Authors
А. Yu. VolkovRussian Federation
Alexander Yu. Volkov, Student of the Oncological Department of Surgical Methods of Treatment №6 (abdominal oncology)
24, Kashirskoye Shosse, Moscow, 115478
S. N. Nered
Russian Federation
Sergei N. Nered, Dr. Sci. (Med.), Leading Researcher of the Oncological Department of Surgical Methods of Treatment №6 (abdominal oncology); Professor of the Department of Oncology and Palliative Medicine
24, Kashirskoye Shosse, Moscow, 115478
2/1, Bldg. 1, Barrikadnaya St., Moscow, 125993
N. А. Kozlov
Russian Federation
Nikolay A. Kozlov, Cand. Sci. (Med.), Pathology Department
24, Kashirskoye Shosse, Moscow, 115478
I. S. Stilidi
Russian Federation
Ivan S. Stilidi, Academic of the Russian Academy of Sciences, Dr. Sci. (Med.), Professor, Director, Head of the Oncology Department of Surgical Treatment Methods No. 6 (Abdominal Oncology); Professor of the Department of Oncology and Palliative Medicine
24, Kashirskoye Shosse, Moscow, 115478,
2/1, Bldg. 1, Barrikadnaya St., Moscow, 125993
Р. Р. Arkhiri
Russian Federation
Peter P. Arkhiri, Cand. Sci. (Med.), Surgeon of the Oncological Department of Surgical Methods of Treatment №6 (abdominal oncology); Associate Professor of the Department of Oncology and Palliative Medicine
24, Kashirskoye Shosse, Moscow, 115478
2/1, Bldg. 1, Barrikadnaya St., Moscow, 125993
Е. Yu. Antonova
Russian Federation
Elena Yu. Antonova, Student of the Department of Medicinal Treatment (Chemotherapy №17 Department)
24, Kashirskoye Shosse, Moscow, 115478
S. А. Privezentsev
Russian Federation
Sergey A. Privezentsev, Cand. Sci. (Med.), Deputy Chief Doctor, City Clinical
32, 11ya Parkovaya St., Moscow, 105077
References
1. Dalal K.M., Kattan M.W., Antonescu C.R., Brennan M.F., Singer S. Subtype specific prognostic nomogram for patients with primary liposarcoma of the retroperitoneum, extremity, or trunk. Ann Surg. 2006;244(3):381–391. doi: 10.1097/01.sla.0000234795.98607.00.
2. Nered S.N., Volkov A.Yu., Kozlov N.А., Stilidi I.S., Archery P.P. Prognostic relevance of the TNM classification 8th edition and new criteria of staging for retroperitoneal liposarcoma. Sovremennaya onkologiya = Journal of Modern Oncology. 2020;22(3):120–126. (In Russ.) doi: 10.26442/18151434. 2020.3.200220.
3. Fletcher C.D., Bridge J.A., Hogendoorn P., Mertens F. (eds.). WHO Classification of Tumours of soft tissue and bone. 4th ed. World Health Organization, 2013. Vol. 5, 468 p. https://publications.iarc.fr/Book-AndReport-Series/Who-Classification-Of-Tumours/WHO-Classification-OfTumours-Of-Soft-Tissue-And-Bone-2013.
4. Matthyssens L.E., Creytens D., Ceelen W.P. Retroperitoneal liposarcoma: current insights in diagnosis and treatment. Front Surg. 2015;2:4. doi: 10.3389/fsurg.2015.00004.
5. Setsu N., Miyake M., Wakai S., Nakatani F., Kobayashi E., Chuman H. et al. Primary Retroperitoneal Myxoid Liposarcomas. Am J Surg Pathol. 2016;40(9):1286–1290. doi: 10.1097/PAS.0000000000000657 .
6. Volkov A.Yu., Nered S.N., Lyubchenko L.N. Retroperitoneal non-organ liposarcomas: the modern concept. Sibirskiy onkologicheskiy zhurnal = Siberian Journal of Oncology. 2019;18(5):86–96. (In Russ.) doi: 10.21294/1814-48612019-18-5-86-96.
7. Antonescu C.R., Tschernyavsky S.J., Decuseara R., Leung D.H., Woodruff J.M., Brennan M.F. et al. Prognostic impact of P53 status, TLS-CHOP fusion transcript structure, and histological grade in myxoid liposarcoma: a molecular and clinicopathologic study of 82 cases. Clin Cancer Res. 2001;7(12):3977–3987. Available at: https://pubmed.ncbi.nlm.nih. gov/11751490/.
8. Brierley J.D., Gospodarowicz M.K., Wittekind Ch. TNM Classification of Malignant Tumours. 8th ed. New York: Wiley-Blackwell; 2017. 272 p. Available at: https://www.legeforeningen.no/contentassets/201604933c e448e888a101ab969a4205/tnm-classification-of-malignant-tumours-8thedition.pdf.
9. Nered S.N., Stilidi I.S., Klimenkov A.A., Bolotsky V.I., Anurova O.A. Clinicomorphological properties and surgical treatment results in retroperitoneal liposarcomas. Voprosy onkologii = Problems in Oncology. 2012;58(1):94–100. (In Russ.) Available at: https://elibrary.ru/item. asp?id=17306403.
10. Bonvalot S., Rivoire M., Castaing M., Stoeckle E., Le Cesne A., Blay J.Y., Laplanche A. Primary retroperitoneal sarcomas: a multivariate analysis of surgical factors associated with local control. J Clin Oncol. 2009;27(1):31– 37. doi: 10.1200/JCO.2008.18.0802.
11. Ardoino I., Miceli R., Berselli M., Mariani L., Biganzoli E., Fiore M. et al. Histology-specific nomogram for primary retroperitoneal soft tissue sarcoma. Cancer. 2010;116(10):2429–2436. doi: 10.1002/cncr.25057 .
12. Gronchi A., Miceli R., Shurell E., Eilber F.C., Eilber F.R., Anaya D.A. et al. Outcome prediction in primary resected retroperitoneal soft tissue sarcoma: histology-specific overall survival and disease-free survival nomograms built on major sarcoma center data sets. J Clin Oncol. 2013;31(13):1649–1655. doi: 10.1200/JCO.2012.44.3747 .
13. Lewis J.J., Leung D., Woodruff J.M., Brennan M.F. Retroperitoneal soft-tissue sarcoma: analysis of 500 patients treated and followed at a single institution. Ann Surg. 1998;228(3):355–365. doi: 10.1097/00000658-19980900000008.
14. Stoeckle E., Coindre J.M., Bonvalot S., Kantor G., Terrier P., Bonichon F., Nguyen Bui B.; French Federation of Cancer Centers Sarcoma Group. Prognostic factors in retroperitoneal sarcoma: a multivariate analysis of a series of 165 patients of the French Cancer Center Federation Sarcoma Group. Cancer. 2001;92(2):359–368. doi: 10.1002/1097-0142(20010715)92:2<359::aid-cncr1331>3.0.co;2-y.
15. Ferrario T., Karakousis C.P. Retroperitoneal sarcomas: grade and survival. Arch Surg. 2003;138(3):248–251. doi: 10.1001/archsurg.138.3.248.
16. Volkov A.Yu., Kozlov N.A., Nered S.N., Stilidi I.S., Stroganova A.M., Arkhiri P.P. et al. Retroperitoneal dedifferentiated liposarcomas: semiquantitative assessment of the dedifferentiated component and prognosis. Arkhiv patologii = Archive of Pathology. 2020;82(5):25–32. (In Russ.) doi: 10.17116/patol20208205125.
17. Volkov A.Yu., Kozlov N.A., Nered S.N., Stilidi I.S., Stroganova A.M., Archery P.P. et al. Retroperitoneal well-differentiated liposarcoma: prognostic significance of the degree of sclerosis in the tumor. Sarkomy kostey, myagkikh tkaney i opukholi kozhi = Bone and Soft Tissue Sarcomas, Tumors of the Skin. 2020;12(1):14–23. (In Russ.) Available at: https://elibrary.ru/item. asp?id=42861996.
18. Volkov A.Yu., Kozlov N.A., Nered S.N., Stilidi I.S., Stroganova A.M., Archery P.P. et al. Invasive potential of retroperitoneal well-differentiated liposarcomas depending on the extent of sclerosing component in the tumor. Rossiiskii onkologicheskii zhurnal = Russian Journal of Oncology. 2020;25(2):50–55. (In Russ.) doi: 10.17816/1028-9984-2020-25-2-50-55.
19. Chrisinger J.S.A., Al-Zaid T., Keung E.Z., Leung C., Lin H.Y., Roland C.L. et al. The degree of sclerosis is associated with prognosis in well-differentiated liposarcoma of the retroperitoneum. J Surg Oncol. 2019;120(3):382–388. doi: 10.1002/jso.25585.
20. Volkov A.Yu., Kozlov N.A., Nered S.N., Stilidi I.S., Stroganova A.M., Arkhiri P.P. et al. The prognostic significance of myxoid matrix in retroperitoneal well-differentiated liposarcoma. Sibirskiy onkologicheskiy zhurnal = Siberian Journal of Oncology. 2021;20(1):46–52. (In Russ.) doi: 10.21294/1814-48612021-20-1-46-52.
21. Rubin B.P., Cooper K., Fletcher C.D., Folpe A.L., Gannon F.H., Hunt J.L. et al.; Members of the Cancer Committee, College of American Pathologists. Protocol for the examination of specimens from patients with tumors of soft tissue. Arch Pathol Lab Med. 2010;134(4):e31–39. doi: 10.1043/15432165-134.4.e31.
Review
For citations:
Volkov АY, Nered SN, Kozlov NА, Stilidi IS, Arkhiri РР, Antonova ЕY, Privezentsev SА. Prognostic groups in retroperitoneal well-differentiated and dedifferentiated liposarcomas. Meditsinskiy sovet = Medical Council. 2021;(4S):94-102. (In Russ.) https://doi.org/10.21518/2079-701X-2021-4S-94-102