Prognostic value of determination of the degree of malignancy by the FNCLCC system and the expression of Ag-NOR proteins in leiomyosarcoma of the corpus uteri

A M Avdalyan , I P Bobrov , V V Klimachev , M N Chechulin , A F Lazarev , A M Avdalyan , I P Bobrov , V V Klimachev , M N Chechulin , A F Lazarev

Russian Journal of Oncology ›› 2011, Vol. 16 ›› Issue (1) : 17 -20.

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Russian Journal of Oncology ›› 2011, Vol. 16 ›› Issue (1) : 17 -20. DOI: 10.17816/onco39790
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Prognostic value of determination of the degree of malignancy by the FNCLCC system and the expression of Ag-NOR proteins in leiomyosarcoma of the corpus uteri

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Abstract

Leiomyosarcoma of the corpus uteri is a rare malignancy that is difficult in diagnosis, randomization, and pathomorphological assessment of prognostic criteria. The authors estimated the prognostic value of determining the degree of malignancy of soft tissue tumors by the FNCLCC system in relation to Ag-NOR proteins and Ki-67. The findings indicated that the degree of malignancy was of the greatest prognostic value and an independent criteria for 10-year survival (χ2 = 18.9). A slightly less, but statistical significance was shown by Ki-67 expression (χ2 = 9.8) and the number of Ag-NOR proteins (χ2 = 13.4).

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leiomyosarcoma / the degree of malignancy / expression of Ki-67 and Ag-NOR proteins / survival

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A M Avdalyan, I P Bobrov, V V Klimachev, M N Chechulin, A F Lazarev, A M Avdalyan, I P Bobrov, V V Klimachev, M N Chechulin, A F Lazarev. Prognostic value of determination of the degree of malignancy by the FNCLCC system and the expression of Ag-NOR proteins in leiomyosarcoma of the corpus uteri. Russian Journal of Oncology, 2011, 16(1): 17-20 DOI:10.17816/onco39790

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References

[1]

Гагуа И. Р., Кузнецов В. В., Лазарева Н. И. и др. // Вестн. РОНЦ им. Н. Н. Блохина РАМН. - 2007. - № 3. - С. 23-29.

[2]

Коган Е. А., Угрюмов Д. А. // Арх. пат. - 2002. - № 1. - С. 33-37.

[3]

Пожарисский К. М., Леенман Е. Е. // Арх. пат. - 2000. - № 5. - С. 3-11.

[4]

Райхлин Н. Т., Букаева И. А., Пробатова Н. А. и др. // Арх. пат. - 2006. - № 4. - С. 47-51.

[5]

Упоров А. В., Семиглазов В. Ф., Пожарисский К. М. // Арх. пат. - 2000. - № 2. - С. 26-30.

[6]

Франк Г. А. // Практич. онкол. - 2004. - Т. 5, № 4. - С. 231-236.

[7]

Bai X. Z., Masters J. R., Donohue N. et al. // Int. J. Oncol. - 1999. - Vol. 14. - P. 785-791.

[8]

Canet V., Montmasson M., Usson Y. et al. // Cytometry. - 2001. - Vol. 43. - P. 110-116.

[9]

Coindre J., Terrier P., Guillou L. et al. // Cancer. - 2001. - Vol. 91, N 10. - P. 1914-1926.

[10]

Derenzini M. // Micron. - 2000. - Vol. 31. - P. 117-120.

[11]

Duchrow M., Gerdes J., Schluter C. // Cell Prolif. - 1994. - Vol. 27. - P. 235-242.

[12]

Fonatsch C., Duchrow M., Rieder H. et al. // Genomics. - 1991. - Vol. 11. - P. 476-477.

[13]

Gerdes J., Lemke H., Baisch H. et al. // J. Immunol. - 1984. - Vol. 133. - P. 1710-1715.

[14]

Gerdes J., Li L., Schlueter C. et al. // Am. J. Pathol. - 1991. - Vol. 138. - P. 867-873.

[15]

Guillou L., Coindre J. M., Bonichon F. et al. // J. Clin. Oncol. - 1997. - Vol. 15. - P. 958-962.

[16]

Jansen R. L., Hupperets P. S., Arends J. W. et al. // Br. J. Cancer. - 1998. - Vol. 78. - P. 460-465.

[17]

Nordstrom B., Strang P., Bergstrom R. et al. // Cancer. - 1996. - Vol. 77. - P. 1942-1951.

[18]

Ofner D. // Micron. - 2000. - Vol. 31. - P. 161-164.

[19]

Pich A., Chiusa L., Margaria E. // Micron. - 2000. - Vol. 31. - P. 133-141.

[20]

Ploton D., Menager M., Jeannesson P. et al. // Histochem. J. - 1986. - Vol. 18. - P. 5-14.

[21]

Railo M. // Ann. Chir. Gynaecol. - 1998. - Vol. 3. - P. 243-244.

[22]

Van Dierendonck J. H., Keijzer R., Van Velde C. J. H. et al. // Cancer Res. - 1989. - Vol. 49. - P. 2999-3006.

[23]

Victorzon M., Roberts P. J., Haglund C. et al. // Anticancer Res. - 1997. - N 4. - P. 2923-2926.

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