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1. SUCCOR Nodes: May Sentinel Node Biopsy Determine the Need for Adjuvant Treatment?

Author

Berasaluce Gomez, A, Martin-Calvo, N, Boria, F, Manzour, N, Chacon, E, Bizzarri, N, Chiva, L, Martinez, A, Quesada, A, Kucukmetin, A, Vazquez, A, Mandic, A, Casajuana, A, Kavallaris, A, Fagotti, A, Perrone, A, Ferrero, A, Lekuona, A, Uppin, A, Stepanyan, A, Chiofalo, B, Morillas, B, Tauste, C, Andrade, C, Mom, C, Brucker, C, Sarac, C, Vazquez-Vicente, D, Cibula, D, Querleu, D, Erasun, D, Kaidarova, D, Tsolakidis, D, Haidopoulos, D, Golub, D, Bonci, E, Aksahin, E, Goncalves, E, Moratalla, E, Karaman, E, Myriokefalitaki, E, Ghezzi, F, Narducci, F, Roldan, F, Raspagliesi, F, Goffin, F, Grandjean, F, Guyon, F, Demirkiran, F, Fiol, G, Chakalova, G, Mancebo, G, Vorgias, G, Gebauer, G, Meili, G, Hernandez-Cortes, G, Bogani, G, Cordeiro, G, Vujic, G, Mendinhos, G, Trum, H, Bonsang-Kitzis, H, Haller, H, Vergote, I, Zapardiel, I, Aluloski, I, Berlev, I, Pete, I, Kalogiannidis, I, Kotsopoulos, I, Yezhova, I, Diez, J, Feron, J, Scharf, J, Beltman, J, Haesen, J, Ponce, J, Cea, J, Minguez, J, Garcia, J, Arevalo-Serrano, J, Gilabert, J, Alcazar, J, Kukk, K, Galaal, K, Cardenas, L, Pirtea, L, Mereu, L, Anchora, L, Dostalek, L, Klasa, L, Pakizimre, M, Undurraga, M, Jedryka, M, Bernardino, M, Alonso-Espias, M, Martin-Salamanca, M, Cuadra, M, Tavares, M, Malzoni, M, Fehr, M, Luyckx, M, Lanner, M, Leht, M, Meydanli, M, Mallmann, M, Capilna, M, Redecha, M, Mitrovic, M, Maenpaa, M, Guijarro, M, Abdalla, N, Gomes, N, Povolotskaya, N, Badzakov, N, Arencibia, O, Akbayir, O, Cavalle, P, Zusterzeel, P, Rolland, P, Coronado, P, Bharathan, R, Saaron, R, Sousa, R, Fruscio, R, Jach, R, Poka, R, Barrachina, R, Domingo, S, Morales, S, Akgol, S, Fernandez-Gonzalez, S, Aliyev, S, Herrero, S, Fidalgo, S, Prader, S, Smrkolj, S, Petousis, S, Kovachev, S, Turan, T, Toptas, T, Castellanos, T, da Costa, T, Marina, T, Zanagnolo, V, Martin, V, Gonzalez, V, Student, V, Sukhin, V, Berasaluce Gomez A., Martin-Calvo N., Boria F., Manzour N., Chacon E., Bizzarri N., Chiva L., Martinez A., Quesada A., Kucukmetin A., Vazquez A., Mandic A., Casajuana A., Kavallaris A., Fagotti A., Perrone A., Ferrero A., Lekuona A., Uppin A., Stepanyan A., Chiofalo B., Morillas B., Tauste C., Andrade C., Mom C., Brucker C., Sarac C. -P., Vazquez-Vicente D., Cibula D., Querleu D., Erasun D., Kaidarova D., Tsolakidis D., Haidopoulos D., Golub D., Bonci E. -A., Aksahin E., Goncalves E., Moratalla E., Karaman E., Myriokefalitaki E., Ghezzi F., Narducci F., Roldan F., Raspagliesi F., Goffin F., Grandjean F., Guyon F., Demirkiran F., Fiol G., Chakalova G., Mancebo G., Vorgias G., Gebauer G., Meili G., Hernandez-Cortes G., Bogani G., Cordeiro G., Vujic G., Mendinhos G., Trum H., Bonsang-Kitzis H., Haller H., Vergote I., Zapardiel I., Aluloski I., Berlev I., Pete I., Kalogiannidis I., Kotsopoulos I., Yezhova I., Diez J., Feron J. G., Scharf J. -P., Beltman J., Haesen J., Ponce J., Cea J., Minguez J. A., Garcia J., Arevalo-Serrano J., Gilabert J., Alcazar J. L., Kukk K., Galaal K., Cardenas L., Pirtea L., Mereu L., Anchora L. P., Dostalek L., Klasa L., PakizImre M., Undurraga M., Jedryka M., Bernardino M., Alonso-Espias M., Martin-Salamanca M. B., Cuadra M., Tavares M., Malzoni M., Fehr M., Luyckx M., Lanner M., Leht M., Meydanli M., Mallmann M., Capilna M., Redecha M., Mitrovic M., Maenpaa M. M., Guijarro M., Abdalla N., Gomes N., Povolotskaya N., Badzakov N., Arencibia O., Akbayir O., Cavalle P., Zusterzeel P., Rolland P., Coronado P., Bharathan R., Saaron R., Sousa R., Fruscio R., Jach R., Poka R., Barrachina R., Domingo S., Morales S., Akgol S., Fernandez-Gonzalez S., Aliyev S., Herrero S., Fidalgo S., Prader S., Smrkolj S., Petousis S., Kovachev S., Turan T., Toptas T., Castellanos T., da Costa T. D., Marina T., Zanagnolo V., Martin V., Gonzalez V., Student V., Sukhin V., Berasaluce Gomez, A, Martin-Calvo, N, Boria, F, Manzour, N, Chacon, E, Bizzarri, N, Chiva, L, Martinez, A, Quesada, A, Kucukmetin, A, Vazquez, A, Mandic, A, Casajuana, A, Kavallaris, A, Fagotti, A, Perrone, A, Ferrero, A, Lekuona, A, Uppin, A, Stepanyan, A, Chiofalo, B, Morillas, B, Tauste, C, Andrade, C, Mom, C, Brucker, C, Sarac, C, Vazquez-Vicente, D, Cibula, D, Querleu, D, Erasun, D, Kaidarova, D, Tsolakidis, D, Haidopoulos, D, Golub, D, Bonci, E, Aksahin, E, Goncalves, E, Moratalla, E, Karaman, E, Myriokefalitaki, E, Ghezzi, F, Narducci, F, Roldan, F, Raspagliesi, F, Goffin, F, Grandjean, F, Guyon, F, Demirkiran, F, Fiol, G, Chakalova, G, Mancebo, G, Vorgias, G, Gebauer, G, Meili, G, Hernandez-Cortes, G, Bogani, G, Cordeiro, G, Vujic, G, Mendinhos, G, Trum, H, Bonsang-Kitzis, H, Haller, H, Vergote, I, Zapardiel, I, Aluloski, I, Berlev, I, Pete, I, Kalogiannidis, I, Kotsopoulos, I, Yezhova, I, Diez, J, Feron, J, Scharf, J, Beltman, J, Haesen, J, Ponce, J, Cea, J, Minguez, J, Garcia, J, Arevalo-Serrano, J, Gilabert, J, Alcazar, J, Kukk, K, Galaal, K, Cardenas, L, Pirtea, L, Mereu, L, Anchora, L, Dostalek, L, Klasa, L, Pakizimre, M, Undurraga, M, Jedryka, M, Bernardino, M, Alonso-Espias, M, Martin-Salamanca, M, Cuadra, M, Tavares, M, Malzoni, M, Fehr, M, Luyckx, M, Lanner, M, Leht, M, Meydanli, M, Mallmann, M, Capilna, M, Redecha, M, Mitrovic, M, Maenpaa, M, Guijarro, M, Abdalla, N, Gomes, N, Povolotskaya, N, Badzakov, N, Arencibia, O, Akbayir, O, Cavalle, P, Zusterzeel, P, Rolland, P, Coronado, P, Bharathan, R, Saaron, R, Sousa, R, Fruscio, R, Jach, R, Poka, R, Barrachina, R, Domingo, S, Morales, S, Akgol, S, Fernandez-Gonzalez, S, Aliyev, S, Herrero, S, Fidalgo, S, Prader, S, Smrkolj, S, Petousis, S, Kovachev, S, Turan, T, Toptas, T, Castellanos, T, da Costa, T, Marina, T, Zanagnolo, V, Martin, V, Gonzalez, V, Student, V, Sukhin, V, Berasaluce Gomez A., Martin-Calvo N., Boria F., Manzour N., Chacon E., Bizzarri N., Chiva L., Martinez A., Quesada A., Kucukmetin A., Vazquez A., Mandic A., Casajuana A., Kavallaris A., Fagotti A., Perrone A., Ferrero A., Lekuona A., Uppin A., Stepanyan A., Chiofalo B., Morillas B., Tauste C., Andrade C., Mom C., Brucker C., Sarac C. -P., Vazquez-Vicente D., Cibula D., Querleu D., Erasun D., Kaidarova D., Tsolakidis D., Haidopoulos D., Golub D., Bonci E. -A., Aksahin E., Goncalves E., Moratalla E., Karaman E., Myriokefalitaki E., Ghezzi F., Narducci F., Roldan F., Raspagliesi F., Goffin F., Grandjean F., Guyon F., Demirkiran F., Fiol G., Chakalova G., Mancebo G., Vorgias G., Gebauer G., Meili G., Hernandez-Cortes G., Bogani G., Cordeiro G., Vujic G., Mendinhos G., Trum H., Bonsang-Kitzis H., Haller H., Vergote I., Zapardiel I., Aluloski I., Berlev I., Pete I., Kalogiannidis I., Kotsopoulos I., Yezhova I., Diez J., Feron J. G., Scharf J. -P., Beltman J., Haesen J., Ponce J., Cea J., Minguez J. A., Garcia J., Arevalo-Serrano J., Gilabert J., Alcazar J. L., Kukk K., Galaal K., Cardenas L., Pirtea L., Mereu L., Anchora L. P., Dostalek L., Klasa L., PakizImre M., Undurraga M., Jedryka M., Bernardino M., Alonso-Espias M., Martin-Salamanca M. B., Cuadra M., Tavares M., Malzoni M., Fehr M., Luyckx M., Lanner M., Leht M., Meydanli M., Mallmann M., Capilna M., Redecha M., Mitrovic M., Maenpaa M. M., Guijarro M., Abdalla N., Gomes N., Povolotskaya N., Badzakov N., Arencibia O., Akbayir O., Cavalle P., Zusterzeel P., Rolland P., Coronado P., Bharathan R., Saaron R., Sousa R., Fruscio R., Jach R., Poka R., Barrachina R., Domingo S., Morales S., Akgol S., Fernandez-Gonzalez S., Aliyev S., Herrero S., Fidalgo S., Prader S., Smrkolj S., Petousis S., Kovachev S., Turan T., Toptas T., Castellanos T., da Costa T. D., Marina T., Zanagnolo V., Martin V., Gonzalez V., Student V., and Sukhin V.

Abstract

Background: The SUCCOR cohort was developed to analyse the overall and disease-free survival at 5 years in women with FIGO 2009 stage IB1 cervical cancer. The aim of this study was to compare the use of adjuvant therapy in these women, depending on the method used to diagnose lymphatic node metastasis. Patients and Methods: We used data from the SUCCOR cohort, which collected information from 1049 women with FIGO 2009 stage IB1 cervical cancer who were operated on between January 2013 and December 2014 in Europe. We calculated the adjusted proportion of women who received adjuvant therapy depending on the lymph node diagnosis method and compared disease free and overall survival using Cox proportional-hazards regression models. Inverse probability weighting was used to adjust for baseline potential confounders. Results: The adjusted proportion of women who received adjuvant therapy was 33.8% in the sentinel node biopsy + lymphadenectomy (SNB+LA) group and 44.7% in the LA group (p = 0.02), although the proportion of positive nodal status was similar (p = 0.30). That difference was greater in women with negative nodal status and positive Sedlis criteria (difference 31.2%, p = 0.01). Here, those who underwent a SNB+LA had an increased risk of relapse [hazard ratio (HR) 2.49, 95% confidence interval (CI) 0.98–6.33, p = 0.056] and risk of death (HR 3.49, 95% CI 1.04–11.7, p = 0.042) compared with those who underwent LA. Conclusions: Women in this study were less likely to receive adjuvant therapy if their nodal invasion was determined using SNB+LA compared with LA. These results suggest a lack of therapeutic measures available when a negative result is obtained by SNB+LA, which may have an impact on the risk of recurrence and survival.

Published
2023

2. SUCCOR Nodes: May Sentinel Node Biopsy Determine the Need for Adjuvant Treatment?

Author

Berasaluce Gómez A., Martín-Calvo N., Boria F., Manzour N., Chacón E., Bizzarri N., Chiva L., Martinez A., Quesada A., Kucukmetin A., Vázquez A., Mandic A., Casajuana A., Kavallaris A., Fagotti A., Perrone A., Ferrero A., Lekuona A., Uppin A., Stepanyan A., Chiofalo B., Morillas B., Tauste C., Andrade C., Mom C., Brucker C., Sarac C. P., Vázquez-Vicente D., Cibula D., Querleu D., Erasun D., Kaidarova D., Tsolakidis D., Haidopoulos D., Golub D., Bonci E. A., Aksahin E., Gonçalves E., Moratalla E., Karaman E., Myriokefalitaki E., Ghezzi F., Narducci F., Roldan F., Raspagliesi F., Goffin F., Grandjean F., Guyon F., Demirkiran F., Fiol G., Chakalova G., Mancebo G., Vorgias G., Gebauer G., Meili G., Hernandez-Cortes G., Bogani G., Cordeiro G., Vujić G., Mendinhos G., Trum H., Bonsang-Kitzis H., Haller H., Vergote I., Zapardiel I., Aluloski I., Berlev I., Pete I., Kalogiannidis I., Kotsopoulos I., Yezhova I., Díez J., Feron J. G., Scharf J. P., Beltman J., Haesen J., Ponce J., Cea J., Mínguez J. Á., García J., Arévalo-Serrano J., Gilabert J., Alcazar J. L., Kukk K., Galaal K., Cárdenas L., Pirtea L., Mereu L., Anchora L. P., Dostalek L., Klasa L., PakižImre M., Undurraga M., Jedryka M., Bernardino M., Alonso-Espias M., Martín-Salamanca M. B., Cuadra M., Tavares M., Malzoni M., Fruscio R., Berasaluce Gómez, A, Martín-Calvo, N, Boria, F, Manzour, N, Chacón, E, Bizzarri, N, Chiva, L, Martinez, A, Quesada, A, Kucukmetin, A, Vázquez, A, Mandic, A, Casajuana, A, Kavallaris, A, Fagotti, A, Perrone, A, Ferrero, A, Lekuona, A, Uppin, A, Stepanyan, A, Chiofalo, B, Morillas, B, Tauste, C, Andrade, C, Mom, C, Brucker, C, Sarac, C, Vázquez-Vicente, D, Cibula, D, Querleu, D, Erasun, D, Kaidarova, D, Tsolakidis, D, Haidopoulos, D, Golub, D, Bonci, E, Aksahin, E, Gonçalves, E, Moratalla, E, Karaman, E, Myriokefalitaki, E, Ghezzi, F, Narducci, F, Roldan, F, Raspagliesi, F, Goffin, F, Grandjean, F, Guyon, F, Demirkiran, F, Fiol, G, Chakalova, G, Mancebo, G, Vorgias, G, Gebauer, G, Meili, G, Hernandez-Cortes, G, Bogani, G, Cordeiro, G, Vujić, G, Mendinhos, G, Trum, H, Bonsang-Kitzis, H, Haller, H, Vergote, I, Zapardiel, I, Aluloski, I, Berlev, I, Pete, I, Kalogiannidis, I, Kotsopoulos, I, Yezhova, I, Díez, J, Feron, J, Scharf, J, Beltman, J, Haesen, J, Ponce, J, Cea, J, Mínguez, J, García, J, Arévalo-Serrano, J, Gilabert, J, Alcazar, J, Kukk, K, Galaal, K, Cárdenas, L, Pirtea, L, Mereu, L, Anchora, L, Dostalek, L, Klasa, L, Pakižimre, M, Undurraga, M, Jedryka, M, Bernardino, M, Alonso-Espias, M, Martín-Salamanca, M, Cuadra, M, Tavares, M, Malzoni, M, and Fruscio, R

Subjects
cervical cancer
Abstract

Background: The SUCCOR cohort was developed to analyse the overall and disease-free survival at 5 years in women with FIGO 2009 stage IB1 cervical cancer. The aim of this study was to compare the use of adjuvant therapy in these women, depending on the method used to diagnose lymphatic node metastasis. Patients and Methods: We used data from the SUCCOR cohort, which collected information from 1049 women with FIGO 2009 stage IB1 cervical cancer who were operated on between January 2013 and December 2014 in Europe. We calculated the adjusted proportion of women who received adjuvant therapy depending on the lymph node diagnosis method and compared disease free and overall survival using Cox proportional-hazards regression models. Inverse probability weighting was used to adjust for baseline potential confounders. Results: The adjusted proportion of women who received adjuvant therapy was 33.8% in the sentinel node biopsy + lymphadenectomy (SNB+LA) group and 44.7% in the LA group (p = 0.02), although the proportion of positive nodal status was similar (p = 0.30). That difference was greater in women with negative nodal status and positive Sedlis criteria (difference 31.2%, p = 0.01). Here, those who underwent a SNB+LA had an increased risk of relapse [hazard ratio (HR) 2.49, 95% confidence interval (CI) 0.98–6.33, p = 0.056] and risk of death (HR 3.49, 95% CI 1.04–11.7, p = 0.042) compared with those who underwent LA. Conclusions: Women in this study were less likely to receive adjuvant therapy if their nodal invasion was determined using SNB+LA compared with LA. These results suggest a lack of therapeutic measures available when a negative result is obtained by SNB+LA, which may have an impact on the risk of recurrence and survival.

Published
2023

3. SUCCOR Risk: Design and Validation of a Recurrence Prediction Index for Early-Stage Cervical Cancer

Author

Manzour, N, Chiva, L, Chacon, E, Martin-Calvo, N, Boria, F, Minguez, J, Alcazar, J, Zanagnolo, V, Querleu, D, Capilna, M, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Aliyev, S, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, M, Tavares, M, Golub, D, Perrone, A, Poka, R, Tsolakidis, D, Vujic, G, Jedryka, M, Zusterzeel, P, Beltman, J, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Sukhin, V, Feron, J, Fruscio, R, Kukk, K, Ponce, J, Abdalla, N, Akbayir, O, Akgol, S, Aksahin, E, Alonso-Espias, M, Aluloski, I, Andrade, C, Badzakov, N, Barrachina, R, Bogani, G, Bonci, E, Bonsang-Kitzis, H, Brucker, C, Cardenas, L, Casajuana, A, Cavalle, P, Cea, J, Chiofalo, B, Cordeiro, G, Coronado, P, Cuadra, M, Diez, J, da Costa, T, Domingo, S, Dostalek, L, Demirkiran, F, Erasun, D, Fehr, M, Fernandez-Gonzalez, S, Fidalgo, S, Fiol, G, Galaal, K, Garcia, J, Gebauer, G, Ghezzi, F, Gilabert, J, Gomes, N, Goncalves, E, Gonzalez, V, Grandjean, F, Guijarro, M, Guyon, F, Haesen, J, Hernandez-Cortes, G, Herrero, S, Pete, I, Kalogiannidis, I, Karaman, E, Kavallaris, A, Klasa, L, Kotsopoulos, I, Kovachev, S, Leht, M, Lekuona, A, Luyckx, M, Mallmann, M, Mancebo, G, Mandic, A, Marina, T, Martin, V, Martin-Salamanca, M, Martinez, A, Meili, G, Mendinhos, G, Mereu, L, Mitrovic, M, Morales, S, Moratalla, E, Morillas, B, Myriokefalitaki, E, Pakizimre, M, Petousis, S, Pirtea, L, Povolotskaya, N, Prader, S, Quesada, A, Redecha, M, Roldan, F, Rolland, P, Saaron, R, Sarac, C, Scharf, J, Smrkolj, S, Sousa, R, Stepanyan, A, Student, V, Tauste, C, Trum, H, Turan, T, Undurraga, M, Uppin, A, Vazquez, A, Vergote, I, Vorgias, G, Zapardiel, I, Manzour N., Chiva L., Chacon E., Martin-Calvo N., Boria F., Minguez J. A., Alcazar J. L., Zanagnolo V., Querleu D., Capilna M., Fagotti A., Kucukmetin A., Mom C., Chakalova G., Aliyev S., Malzoni M., Narducci F., Arencibia O., Raspagliesi F., Toptas T., Cibula D., Kaidarova D., Meydanli M., Tavares M., Golub D., Perrone A., Poka R., Tsolakidis D., Vujic G., Jedryka M., Zusterzeel P., Beltman J., Goffin F., Haidopoulos D., Haller H., Jach R., Yezhova I., Berlev I., Bernardino M., Bharathan R., Lanner M., Sukhin V., Feron J. G., Fruscio R., Kukk K., Ponce J., Abdalla N., Akbayir O., Akgol S., Aksahin E., Alonso-Espias M., Aluloski I., Andrade C., Badzakov N., Barrachina R., Bogani G., Bonci E. -A., Bonsang-Kitzis H., Brucker C., Cardenas L., Casajuana A., Cavalle P., Cea J., Chiofalo B., Cordeiro G., Coronado P., Cuadra M., Diez J., da Costa T. D., Domingo S., Dostalek L., Demirkiran F., Erasun D., Fehr M., Fernandez-Gonzalez S., Fidalgo S., Fiol G., Galaal K., Garcia J., Gebauer G., Ghezzi F., Gilabert J., Gomes N., Goncalves E., Gonzalez V., Grandjean F., Guijarro M., Guyon F., Haesen J., Hernandez-Cortes G., Herrero S., Pete I., Kalogiannidis I., Karaman E., Kavallaris A., Klasa L., Kotsopoulos I., Kovachev S., Leht M., Lekuona A., Luyckx M., Mallmann M., Mancebo G., Mandic A., Marina T., Martin V., Martin-Salamanca M. B., Martinez A., Meili G., Mendinhos G., Mereu L., Mitrovic M., Morales S., Moratalla E., Morillas B., Myriokefalitaki E., PakizImre M., Petousis S., Pirtea L., Povolotskaya N., Prader S., Quesada A., Redecha M., Roldan F., Rolland P., Saaron R., Sarac C. -P., Scharf J. -P., Smrkolj S., Sousa R., Stepanyan A., Student V., Tauste C., Trum H., Turan T., Undurraga M., Uppin A., Vazquez A., Vergote I., Vorgias G., Zapardiel I., Manzour, N, Chiva, L, Chacon, E, Martin-Calvo, N, Boria, F, Minguez, J, Alcazar, J, Zanagnolo, V, Querleu, D, Capilna, M, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Aliyev, S, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, M, Tavares, M, Golub, D, Perrone, A, Poka, R, Tsolakidis, D, Vujic, G, Jedryka, M, Zusterzeel, P, Beltman, J, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Sukhin, V, Feron, J, Fruscio, R, Kukk, K, Ponce, J, Abdalla, N, Akbayir, O, Akgol, S, Aksahin, E, Alonso-Espias, M, Aluloski, I, Andrade, C, Badzakov, N, Barrachina, R, Bogani, G, Bonci, E, Bonsang-Kitzis, H, Brucker, C, Cardenas, L, Casajuana, A, Cavalle, P, Cea, J, Chiofalo, B, Cordeiro, G, Coronado, P, Cuadra, M, Diez, J, da Costa, T, Domingo, S, Dostalek, L, Demirkiran, F, Erasun, D, Fehr, M, Fernandez-Gonzalez, S, Fidalgo, S, Fiol, G, Galaal, K, Garcia, J, Gebauer, G, Ghezzi, F, Gilabert, J, Gomes, N, Goncalves, E, Gonzalez, V, Grandjean, F, Guijarro, M, Guyon, F, Haesen, J, Hernandez-Cortes, G, Herrero, S, Pete, I, Kalogiannidis, I, Karaman, E, Kavallaris, A, Klasa, L, Kotsopoulos, I, Kovachev, S, Leht, M, Lekuona, A, Luyckx, M, Mallmann, M, Mancebo, G, Mandic, A, Marina, T, Martin, V, Martin-Salamanca, M, Martinez, A, Meili, G, Mendinhos, G, Mereu, L, Mitrovic, M, Morales, S, Moratalla, E, Morillas, B, Myriokefalitaki, E, Pakizimre, M, Petousis, S, Pirtea, L, Povolotskaya, N, Prader, S, Quesada, A, Redecha, M, Roldan, F, Rolland, P, Saaron, R, Sarac, C, Scharf, J, Smrkolj, S, Sousa, R, Stepanyan, A, Student, V, Tauste, C, Trum, H, Turan, T, Undurraga, M, Uppin, A, Vazquez, A, Vergote, I, Vorgias, G, Zapardiel, I, Manzour N., Chiva L., Chacon E., Martin-Calvo N., Boria F., Minguez J. A., Alcazar J. L., Zanagnolo V., Querleu D., Capilna M., Fagotti A., Kucukmetin A., Mom C., Chakalova G., Aliyev S., Malzoni M., Narducci F., Arencibia O., Raspagliesi F., Toptas T., Cibula D., Kaidarova D., Meydanli M., Tavares M., Golub D., Perrone A., Poka R., Tsolakidis D., Vujic G., Jedryka M., Zusterzeel P., Beltman J., Goffin F., Haidopoulos D., Haller H., Jach R., Yezhova I., Berlev I., Bernardino M., Bharathan R., Lanner M., Sukhin V., Feron J. G., Fruscio R., Kukk K., Ponce J., Abdalla N., Akbayir O., Akgol S., Aksahin E., Alonso-Espias M., Aluloski I., Andrade C., Badzakov N., Barrachina R., Bogani G., Bonci E. -A., Bonsang-Kitzis H., Brucker C., Cardenas L., Casajuana A., Cavalle P., Cea J., Chiofalo B., Cordeiro G., Coronado P., Cuadra M., Diez J., da Costa T. D., Domingo S., Dostalek L., Demirkiran F., Erasun D., Fehr M., Fernandez-Gonzalez S., Fidalgo S., Fiol G., Galaal K., Garcia J., Gebauer G., Ghezzi F., Gilabert J., Gomes N., Goncalves E., Gonzalez V., Grandjean F., Guijarro M., Guyon F., Haesen J., Hernandez-Cortes G., Herrero S., Pete I., Kalogiannidis I., Karaman E., Kavallaris A., Klasa L., Kotsopoulos I., Kovachev S., Leht M., Lekuona A., Luyckx M., Mallmann M., Mancebo G., Mandic A., Marina T., Martin V., Martin-Salamanca M. B., Martinez A., Meili G., Mendinhos G., Mereu L., Mitrovic M., Morales S., Moratalla E., Morillas B., Myriokefalitaki E., PakizImre M., Petousis S., Pirtea L., Povolotskaya N., Prader S., Quesada A., Redecha M., Roldan F., Rolland P., Saaron R., Sarac C. -P., Scharf J. -P., Smrkolj S., Sousa R., Stepanyan A., Student V., Tauste C., Trum H., Turan T., Undurraga M., Uppin A., Vazquez A., Vergote I., Vorgias G., and Zapardiel I.

Abstract

Objective: Based on the SUCCOR study database, our primary objective was to identify the independent clinical pathological variables associated with the risk of relapse in patients with stage IB1 cervical cancer who underwent a radical hysterectomy. Our secondary goal was to design and validate a risk predictive index (RPI) for classifying patients depending on the risk of recurrence. Methods: Overall, 1116 women were included from January 2013 to December 2014. We randomly divided our sample into two cohorts: discovery and validation cohorts. The test group was used to identify the independent variables associated with relapse, and with these variables, we designed our RPI. The index was applied to calculate a relapse risk score for each participant in the validation group. Results: A previous cone biopsy was the most significant independent variable that lowered the rate of relapse (odds ratio [OR] 0.31, 95% confidence interval [CI] 0.17–0.60). Additionally, patients with a tumor diameter >2 cm on preoperative imaging assessment (OR 2.15, 95% CI 1.33–3.5) and operated by the minimally invasive approach (OR 1.61, 95% CI 1.00–2.57) were more likely to have a recurrence. Based on these findings, patients in the validation cohort were classified according to the RPI of low, medium, or high risk of relapse, with rates of 3.4%, 9.8%, and 21.3% observed in each group, respectively. With a median follow-up of 58 months, the 5-year disease-free survival rates were 97.2% for the low-risk group, 88.0% for the medium-risk group, and 80.5% for the high-risk group (p < 0.001). Conclusion: Previous conization to radical hysterectomy was the most powerful protective variable of relapse. Our risk predictor index was validated to identify patients at risk of recurrence.

Published
2022

8. SUCCOR Risk: Design and Validation of a Recurrence Prediction Index for Early-Stage Cervical Cancer

Author

Manzour, N., Chiva, L., Chacon, E., Martin-Calvo, N., Boria, F., Minguez, J. A., Alcazar, J. L., Zanagnolo, V., Querleu, D., Capilna, M., Fagotti, Anna, Kucukmetin, A., Mom, C., Chakalova, G., Aliyev, S., Malzoni, M., Narducci, F., Arencibia, O., Raspagliesi, F., Toptas, T., Cibula, D., Kaidarova, D., Meydanli, M., Tavares, M., Golub, D., Perrone, A., Poka, R., Tsolakidis, D., Vujic, G., Jedryka, M., Zusterzeel, P., Beltman, J., Goffin, F., Haidopoulos, D., Haller, H., Jach, R., Yezhova, I., Berlev, I., Bernardino, M., Bharathan, R., Lanner, M., Sukhin, V., Feron, J. G., Fruscio, R., Kukk, K., Ponce, J., Abdalla, N., Akbayir, O., Akgol, S., Aksahin, E., Alonso-Espias, M., Aluloski, I., Andrade, C., Badzakov, N., Barrachina, R., Bogani, G., Bonci, E. -A., Bonsang-Kitzis, H., Brucker, C., Cardenas, L., Casajuana, A., Cavalle, P., Cea, J., Chiofalo, B., Cordeiro, G., Coronado, P., Cuadra, M., Diez, J., da Costa, T. D., Domingo, S., Dostalek, L., Demirkiran, F., Erasun, D., Fehr, M., Fernandez-Gonzalez, S., Fidalgo, S., Fiol, G., Galaal, K., Garcia, J., Gebauer, G., Ghezzi, F., Gilabert, J., Gomes, N., Goncalves, E., Gonzalez, V., Grandjean, F., Guijarro, M., Guyon, F., Haesen, J., Hernandez-Cortes, G., Herrero, S., Pete, I., Kalogiannidis, I., Karaman, E., Kavallaris, A., Klasa, L., Kotsopoulos, I., Kovachev, S., Leht, M., Lekuona, A., Luyckx, M., Mallmann, M., Mancebo, G., Mandic, A., Marina, T., Martin, V., Martin-Salamanca, M. B., Martinez, A., Meili, G., Mendinhos, G., Mereu, L., Mitrovic, M., Morales, S., Moratalla, E., Morillas, B., Myriokefalitaki, E., Pakizimre, M., Petousis, S., Pirtea, L., Povolotskaya, N., Prader, S., Quesada, A., Redecha, M., Roldan, F., Rolland, P., Saaron, R., Sarac, C. -P., Scharf, J. -P., Smrkolj, S., Sousa, R., Stepanyan, A., Student, V., Tauste, C., Trum, H., Turan, T., Undurraga, M., Uppin, A., Vazquez, A., Vergote, I., Vorgias, G., Zapardiel, I., Fagotti A. (ORCID:0000-0001-5579-335X), Manzour, N., Chiva, L., Chacon, E., Martin-Calvo, N., Boria, F., Minguez, J. A., Alcazar, J. L., Zanagnolo, V., Querleu, D., Capilna, M., Fagotti, Anna, Kucukmetin, A., Mom, C., Chakalova, G., Aliyev, S., Malzoni, M., Narducci, F., Arencibia, O., Raspagliesi, F., Toptas, T., Cibula, D., Kaidarova, D., Meydanli, M., Tavares, M., Golub, D., Perrone, A., Poka, R., Tsolakidis, D., Vujic, G., Jedryka, M., Zusterzeel, P., Beltman, J., Goffin, F., Haidopoulos, D., Haller, H., Jach, R., Yezhova, I., Berlev, I., Bernardino, M., Bharathan, R., Lanner, M., Sukhin, V., Feron, J. G., Fruscio, R., Kukk, K., Ponce, J., Abdalla, N., Akbayir, O., Akgol, S., Aksahin, E., Alonso-Espias, M., Aluloski, I., Andrade, C., Badzakov, N., Barrachina, R., Bogani, G., Bonci, E. -A., Bonsang-Kitzis, H., Brucker, C., Cardenas, L., Casajuana, A., Cavalle, P., Cea, J., Chiofalo, B., Cordeiro, G., Coronado, P., Cuadra, M., Diez, J., da Costa, T. D., Domingo, S., Dostalek, L., Demirkiran, F., Erasun, D., Fehr, M., Fernandez-Gonzalez, S., Fidalgo, S., Fiol, G., Galaal, K., Garcia, J., Gebauer, G., Ghezzi, F., Gilabert, J., Gomes, N., Goncalves, E., Gonzalez, V., Grandjean, F., Guijarro, M., Guyon, F., Haesen, J., Hernandez-Cortes, G., Herrero, S., Pete, I., Kalogiannidis, I., Karaman, E., Kavallaris, A., Klasa, L., Kotsopoulos, I., Kovachev, S., Leht, M., Lekuona, A., Luyckx, M., Mallmann, M., Mancebo, G., Mandic, A., Marina, T., Martin, V., Martin-Salamanca, M. B., Martinez, A., Meili, G., Mendinhos, G., Mereu, L., Mitrovic, M., Morales, S., Moratalla, E., Morillas, B., Myriokefalitaki, E., Pakizimre, M., Petousis, S., Pirtea, L., Povolotskaya, N., Prader, S., Quesada, A., Redecha, M., Roldan, F., Rolland, P., Saaron, R., Sarac, C. -P., Scharf, J. -P., Smrkolj, S., Sousa, R., Stepanyan, A., Student, V., Tauste, C., Trum, H., Turan, T., Undurraga, M., Uppin, A., Vazquez, A., Vergote, I., Vorgias, G., Zapardiel, I., and Fagotti A. (ORCID:0000-0001-5579-335X)

Abstract

Objective: Based on the SUCCOR study database, our primary objective was to identify the independent clinical pathological variables associated with the risk of relapse in patients with stage IB1 cervical cancer who underwent a radical hysterectomy. Our secondary goal was to design and validate a risk predictive index (RPI) for classifying patients depending on the risk of recurrence. Methods: Overall, 1116 women were included from January 2013 to December 2014. We randomly divided our sample into two cohorts: discovery and validation cohorts. The test group was used to identify the independent variables associated with relapse, and with these variables, we designed our RPI. The index was applied to calculate a relapse risk score for each participant in the validation group. Results: A previous cone biopsy was the most significant independent variable that lowered the rate of relapse (odds ratio [OR] 0.31, 95% confidence interval [CI] 0.17–0.60). Additionally, patients with a tumor diameter >2 cm on preoperative imaging assessment (OR 2.15, 95% CI 1.33–3.5) and operated by the minimally invasive approach (OR 1.61, 95% CI 1.00–2.57) were more likely to have a recurrence. Based on these findings, patients in the validation cohort were classified according to the RPI of low, medium, or high risk of relapse, with rates of 3.4%, 9.8%, and 21.3% observed in each group, respectively. With a median follow-up of 58 months, the 5-year disease-free survival rates were 97.2% for the low-risk group, 88.0% for the medium-risk group, and 80.5% for the high-risk group (p < 0.001). Conclusion: Previous conization to radical hysterectomy was the most powerful protective variable of relapse. Our risk predictor index was validated to identify patients at risk of recurrence.

Published
2022

9. SUCCOR cone study

Author

Chacon, E, Manzour, N, Zanagnolo, V, Querleu, D, Núñez-Córdoba, Jm, Martin-Calvo, N, Căpîlna, Me, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Shamistan, A, Gil Moreno, A, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, Mm, Tavares, M, Golub, D, Perrone, Am, Poka, R, Tsolakidis, D, Vujić, G, Jedryka, Ma, Zusterzeel, Plm, Beltman, Jj, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Maenpaa, Mm, Sukhin, V, Feron, Jg, Fruscio, R, Kukk, K, Ponce, J, Minguez, Ja, Vázquez-Vicente, D, Castellanos, T, Boria, F, Alcazar, Jl, Chiva, L, SUCCOR study group, SUCCOR study Group: Abdalla, N, Akgöl, S, Aksahin, D, Aliyev, S, Alonso-Espias, M, Aluloski, I, Andrade, C, Badzakov, N, Barrachina, R, Bogani, G, Bonci, E-A, Bonsang-Kitzis, H, Brucker, C, Cárdenas, L, Casajuana, A, Cavalle, P, Cea, J, Chiofalo, B, Cordeiro, G, Coronado, P, Cuadra, M, Díez, J, Diniz da Costa, T, Domingo, S, Dostalek, L, Elif, F, Erasun, D, Fehr, M, Fernandez-Gonzalez, S, Ferrero, A, Fidalgo, S, Fiol, G, Galaal, K, García, J, Gebauer, G, Ghezzi, F, Gilabert, J, Gomes, N, Gonçalves, E, Gonzalez, V, Grandjean, F, Guijarro, M, Guyon, F, Haesen, J, Hernandez-Cortes, G, Herrero, S, Pete, I, Kalogiannidis, I, Karaman, E, Kavallaris, A, Klasa, L, Kotsopoulos, I, Stefan Kovachev, S, U A, Leht, Lekuona, A, Luyckx, M, Mallmann, M, Mancebo, G, Mandic, A, Marina, T, Martin, V, M B, Martín-Salamanca, Lago, V, Martinez, A, Meili, G, Mendinhos, G, Mereu, L, Mitrovic, M, Morales, S, Moratalla, E, N R, Gómez-Hidalgo, Morillas, B, Myriokefalitaki, E, Pakižimre, M, Petousis, S, Pirtea, L, Povolotskaya, N, Prader, S, Quesada, A, Redecha, M, Roldan, F, Rolland, P, Saaron, R, Sarac, C-P, Scharf, J-P, Smrkolj, S, Sousa, R, Stepanyan, A, Študent, V, Tauste, C, Trum, H, Turan, T, Undurraga, M, Vázquez, A, Vergote, I, Vorgias, G, and Zapardiel, I, Obstetrics and gynaecology, CCA - Cancer Treatment and quality of life, Amsterdam Reproduction & Development (AR&D), Chacon, E, Manzour, N, Zanagnolo, V, Querleu, D, Núñez-Córdoba, J, Martin-Calvo, N, Căpîlna, M, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Shamistan, A, Gil Moreno, A, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, M, Tavares, M, Golub, D, Perrone, A, Poka, R, Tsolakidis, D, Vujić, G, Jedryka, M, Zusterzeel, P, Beltman, J, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Maenpaa, M, Sukhin, V, Feron, J, Fruscio, R, Kukk, K, Ponce, J, Minguez, J, Vázquez-Vicente, D, Castellanos, T, Boria, F, Alcazar, J, and Chiva, L

Subjects
Adult, Databases, Factual, cervical cancer, Conization, Obstetrics and Gynecology, Uterine Cervical Neoplasms, Middle Aged, Disease-Free Survival, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], surgery, Settore MED/40 - GINECOLOGIA E OSTETRICIA, laparoscopes, laparoscope, Oncology, laparotomy, Humans, Minimally Invasive Surgical Procedures, Female, Neoplasm Recurrence, Local, hysterectomy, Propensity Score, Retrospective Studies
Abstract

ObjectiveTo evaluate disease-free survival of cervical conization prior to radical hysterectomy in patients with stage IB1 cervical cancer (International Federation of Gynecology and Obstetrics (FIGO) 2009).MethodsA multicenter retrospective observational cohort study was conducted including patients from the Surgery in Cervical Cancer Comparing Different Surgical Aproaches in Stage IB1 Cervical Cancer (SUCCOR) database with FIGO 2009 IB1 cervical carcinoma treated with radical hysterectomy between January 1, 2013, and December 31, 2014. We used propensity score matching to minimize the potential allocation biases arising from the retrospective design. Patients who underwent conization but were similar for other measured characteristics were matched 1:1 to patients from the non-cone group using a caliper width ≤0.2 standard deviations of the logit odds of the estimated propensity score.ResultsWe obtained a weighted cohort of 374 patients (187 patients with prior conization and 187 non-conization patients). We found a 65% reduction in the risk of relapse for patients who had cervical conization prior to radical hysterectomy (hazard ratio (HR) 0.35, 95% confidence interval (CI) 0.16 to 0.75, p=0.007) and a 75% reduction in the risk of death for the same sample (HR 0.25, 95% CI 0.07 to 0.90, p=0.033). In addition, patients who underwent minimally invasive surgery without prior conization had a 5.63 times higher chance of relapse compared with those who had an open approach and previous conization (HR 5.63, 95% CI 1.64 to 19.3, p=0.006). Patients who underwent minimally invasive surgery with prior conization and those who underwent open surgery without prior conization showed no differences in relapse rates compared with those who underwent open surgery with prior cone biopsy (reference) (HR 1.94, 95% CI 0.49 to 7.76, p=0.349 and HR 2.94, 95% CI 0.80 to 10.86, p=0.106 respectively).ConclusionsIn this retrospective study, patients undergoing cervical conization before radical hysterectomy had a significantly lower risk of relapse and death.

Published
2022
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10. Impact of uterine manipulator on oncological outcome in endometrial cancer surgery

Author

Padilla-Iserte P, Lago V, Tauste C, Díaz-Feijoo B, Gil-Moreno A, Oliver R, Coronado P, Martín-Salamanca MB, Pantoja-Garrido M, Marcos-Sanmartin J, Gilabert-Estellés J, Lorenzo C, Cazorla E, Roldán-Rivas F, Rodríguez-Hernández JR, Sánchez L, Muruzábal JC, Hervas D, and Domingo S

Subjects
endometrial cancer, minimally invasive surgery, oncological safety, overall survival, recurrence, recurrence-free survival, uterine manipulator
Abstract

There are limited data available to indicate whether oncological outcomes might be influenced by the uterine manipulator, which is used at the time of hysterectomy for minimally invasive surgery in patients with endometrial cancer. The current evidence derives from retrospective studies with limited sample sizes. Without substantial evidence to support its use, surgeons are required to make decisions about its use based only on their personal choice and surgical experience.

Published
2021

13. SUCCOR Risk: Design and Validation of a Recurrence Prediction Index for Early-Stage Cervical Cancer

Author

Manzour, Nabil, Chiva, Luis, Chacón, Enrique, Martin-Calvo, Nerea, Boria, Felix, Minguez, José A, Alcazar, Juan, L, Vanna, Zanagnolo, Denis, Querleu, Mihai, Căpîlna, Anna, Fagotti, Ali, Kucukmetin, Constantijne, Mom, Galina, Chakalova, Shamistan, Aliyev, Mario, Malzoni, Fabrice, Narducci, Octavio, Arencibia, Francesci, Raspagliesi, Tayfun, Toptas, David, Cibula, Dilyara, Kaidarova, Mehmet, Meydanli, Mariana, Tavares, Dmytro, Golub, Anna, Perrone, Robert, Poka, Dimitrios, Tsolakidis, Goran, Vujić, Marcin, Jedryka, Petra, Zusterzeel, Jogchum, Beltman, Frédéric, Goffin, Dimitros, Haidopoulos, Herman, Haller, Robert, Jach, Iryna, Yezhova, Igor, Berlev, Margarida, Bernardino, Rasiah, Bharathan, Maximilian, Lanner, Vladyslav, Sukhin, Jean, G Feron, Robert, Fruscio, Kersti, Kukk, Jordi, Ponce, Nabil, Abdalla, Özgür, Akbayir, Sedat, Akgöl, Elif, Aksahin, Maria, Alonso-Espias, Igor, Aluloski, Claudia, Andrade, Nikola, Badzakov, Rosa, Barrachina, Giorgio, Bogani, Eduard-Aexandru, Bonci, Hélène, Bonsang-Kitzis, Cosima, Brucker, Laura, Cárdenas, Andrea, Casajuana, Pere, Cavalle, Jorge, Cea, Benito, Chiofalo, Gloria, Cordeiro, Pluvio, Coronado, Maria, Cuadra, Javier, Díez, Teresa Diniz da Costa, Santiago, Domingo, Lukas, Dostalek, Fuat, Demirkiran, Diego, Erasun, Mathias, Fehr, Sergi, Fernandez-Gonzalez, Soledad, Fidalgo, Gabriel, Fiol, Khadra, Galaal, José, García, Gerhard, Gebauer, Fabio, Ghezzi, Juan, Gilabert, Nana, Gomes, Elisabete, Gonçalves, Virginia, Gonzalez, Frederic, Grandjean, Miriam, Guijarro, Frédéric, Guyon, Jolien, Haesen, Gines, Hernandez-Cortes, Sofía, Herrero, Imre, Pete, Ioannis, Kalogiannidis, Erbil, Karaman, Andreas, Kavallaris, Lukasz, Klasa, Ioannis, Kotsopoulos, Stefan, Kovachev, Meelis, Leht, Arantxa, Lekuona, Mathieu, Luyckx, Michael, Mallmann, Gemma, Mancebo, Aljosa, Mandic, Tiermes, Marina, Victor, Martin, María Belén Martín-Salamanca, Alejandra, Martinez, Gesine, Meili, Gustavo, Mendinhos, Mereu, Liliana, Milena, Mitrovic, Sara, Morales, Enrique, Moratalla, Bibiana, Morillas, Eva, Myriokefalitaki, Maja, Pakižimre, Stamatios, Petousis, Laurentiu, Pirtea, Natalia, Povolotskaya, Sonia, Prader, Alfonso, Quesada, Mikuláš, Redecha, Fernando, Roldan, Philip, Rolland, Reeli, Saaron, Cosmin-Paul, Sarac, Jens-Peter, Scharf, Špela, Smrkolj, Rita, Sousa, Artem, Stepanyan, Vladimír, Študent, Carmen, Tauste, Hans, Trum, Taner, Turan, Manuela, Undurraga, Arno, Uppin, Alicia, Vázquez, Ignace, Vergote, George, Vorgias, Ignacio, Zapardiel, Amsterdam Reproduction & Development (AR&D), Obstetrics and gynaecology, CCA - Imaging and biomarkers, Manzour, N, Chiva, L, Chacon, E, Martin-Calvo, N, Boria, F, Minguez, J, Alcazar, J, Zanagnolo, V, Querleu, D, Capilna, M, Fagotti, A, Kucukmetin, A, Mom, C, Chakalova, G, Aliyev, S, Malzoni, M, Narducci, F, Arencibia, O, Raspagliesi, F, Toptas, T, Cibula, D, Kaidarova, D, Meydanli, M, Tavares, M, Golub, D, Perrone, A, Poka, R, Tsolakidis, D, Vujic, G, Jedryka, M, Zusterzeel, P, Beltman, J, Goffin, F, Haidopoulos, D, Haller, H, Jach, R, Yezhova, I, Berlev, I, Bernardino, M, Bharathan, R, Lanner, M, Sukhin, V, Feron, J, Fruscio, R, Kukk, K, Ponce, J, Abdalla, N, Akbayir, O, Akgol, S, Aksahin, E, Alonso-Espias, M, Aluloski, I, Andrade, C, Badzakov, N, Barrachina, R, Bogani, G, Bonci, E, Bonsang-Kitzis, H, Brucker, C, Cardenas, L, Casajuana, A, Cavalle, P, Cea, J, Chiofalo, B, Cordeiro, G, Coronado, P, Cuadra, M, Diez, J, da Costa, T, Domingo, S, Dostalek, L, Demirkiran, F, Erasun, D, Fehr, M, Fernandez-Gonzalez, S, Fidalgo, S, Fiol, G, Galaal, K, Garcia, J, Gebauer, G, Ghezzi, F, Gilabert, J, Gomes, N, Goncalves, E, Gonzalez, V, Grandjean, F, Guijarro, M, Guyon, F, Haesen, J, Hernandez-Cortes, G, Herrero, S, Pete, I, Kalogiannidis, I, Karaman, E, Kavallaris, A, Klasa, L, Kotsopoulos, I, Kovachev, S, Leht, M, Lekuona, A, Luyckx, M, Mallmann, M, Mancebo, G, Mandic, A, Marina, T, Martin, V, Martin-Salamanca, M, Martinez, A, Meili, G, Mendinhos, G, Mereu, L, Mitrovic, M, Morales, S, Moratalla, E, Morillas, B, Myriokefalitaki, E, Pakizimre, M, Petousis, S, Pirtea, L, Povolotskaya, N, Prader, S, Quesada, A, Redecha, M, Roldan, F, Rolland, P, Saaron, R, Sarac, C, Scharf, J, Smrkolj, S, Sousa, R, Stepanyan, A, Student, V, Tauste, C, Trum, H, Turan, T, Undurraga, M, Uppin, A, Vazquez, A, Vergote, I, Vorgias, G, and Zapardiel, I

Subjects
cervical cancer, Cevical cancer, Uterine Cervical Neoplasms, Hysterectomy, Prognosis, Risk Assessment, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], conization, Settore MED/40 - GINECOLOGIA E OSTETRICIA, Oncology, Recurrence, radical hysterectomy, Humans, Female, Surgery, Neoplasm Recurrence, Local, Neoplasm Staging, Retrospective Studies
Abstract

Objective Based on the SUCCOR study database, our primary objective was to identify the independent clinical pathological variables associated with the risk of relapse in patients with stage IB1 cervical cancer who underwent a radical hysterectomy. Our secondary goal was to design and validate a risk predictive index (RPI) for classifying patients depending on the risk of recurrence. Methods Overall, 1116 women were included from January 2013 to December 2014. We randomly divided our sample into two cohorts: discovery and validation cohorts. The test group was used to identify the independent variables associated with relapse, and with these variables, we designed our RPI. The index was applied to calculate a relapse risk score for each participant in the validation group. Results A previous cone biopsy was the most significant independent variable that lowered the rate of relapse (odds ratio [OR] 0.31, 95% confidence interval [CI] 0.17–0.60). Additionally, patients with a tumor diameter >2 cm on preoperative imaging assessment (OR 2.15, 95% CI 1.33–3.5) and operated by the minimally invasive approach (OR 1.61, 95% CI 1.00–2.57) were more likely to have a recurrence. Based on these findings, patients in the validation cohort were classified according to the RPI of low, medium, or high risk of relapse, with rates of 3.4%, 9.8%, and 21.3% observed in each group, respectively. With a median follow-up of 58 months, the 5-year disease-free survival rates were 97.2% for the low-risk group, 88.0% for the medium-risk group, and 80.5% for the high-risk group (p < 0.001). Conclusion Previous conization to radical hysterectomy was the most powerful protective variable of relapse. Our risk predictor index was validated to identify patients at risk of recurrence.

Published
2022
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14. Endometrial cancer: predictors and oncological safety of tumor tissue manipulation.

Author

Quintana-Bertó R, Padilla-Iserte P, Lago V, Tauste C, Díaz-Feijoo B, Cabrera S, Oliver-Pérez R, Coronado PJ, Martín-Salamanca MB, Pantoja-Garrido M, Marcos-Sanmartin J, Cazorla E, Lorenzo C, Rodríguez-Hernández JR, Roldán-Rivas F, Gilabert-Estellés J, Muruzábal JC, Cañada A, and Domingo S

Subjects
Female, Humans, Neoplasm Staging, Retrospective Studies, Endometrial Neoplasms surgery, Endometrial Neoplasms pathology, Hysterectomy methods
Abstract

Purpose: The main goal of this study is to assess the impact of tumor manipulation on the presence of lympho-vascular space invasion and its influence on oncological results., Methods: We performed a retrospective multi-centric study amongst patients who had received primary surgical treatment for apparently early-stage endometrial cancer. A multivariate statistical analysis model was designed to assess the impact that tumor manipulation (with the use of uterine manipulator or preoperative hysteroscopy) has on lympho-vascular development (LVSI) in the final surgical specimen., Results: A total of 2852 women from 15 centers were included and divided into two groups based on the lympho-vascular status in the final surgical specimen: 2265 (79.4%) had no LVSI and 587 (20.6%) presented LVSI. The use of uterine manipulator was associated with higher chances of lympho-vascular involvement regardless of the type used: Balloon manipulator (HR: 95% CI 4.64 (2.99-7.33); p < 0.001) and No-Balloon manipulator ([HR]: 95% CI 2.54 (1.66-3.96); p < 0.001). There is no evidence of an association between the use of preoperative hysteroscopy and higher chances of lympho-vascular involvement (HR: 95% CI 0.90 (0.68-1.19); p = 0.479)., Conclusion: Whilst performing common gynecological procedures, iatrogenic distention and manipulation of the uterine cavity are produced. Our study suggests that the use of uterine manipulator increases the rate of LVSI and, therefore, leads to poorer oncological results. Conversely, preoperative hysteroscopy does not show higher rates of LVSI involvement in the final surgical specimen and can be safely used., (© 2023. The Author(s), under exclusive licence to Federación de Sociedades Españolas de Oncología (FESEO).)

Published
2024
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15. Accuracy and Survival Outcomes after National Implementation of Sentinel Lymph Node Biopsy in Early Stage Endometrial Cancer.

Author

Cabrera S, Gómez-Hidalgo NR, García-Pineda V, Bebia V, Fernández-González S, Alonso P, Rodríguez-Gómez T, Fusté P, Gracia-Segovia M, Lorenzo C, Chacon E, Roldan Rivas F, Arencibia O, Martí Edo M, Fidalgo S, Sanchis J, Padilla-Iserte P, Pantoja-Garrido M, Martínez S, Peiró R, Escayola C, Oliver-Pérez MR, Aghababyan C, Tauste C, Morales S, Torrent A, Utrilla-Layna J, Fargas F, Calvo A, Aller de Pace L, and Gil-Moreno A

Subjects
Female, Humans, Sentinel Lymph Node Biopsy, Lymph Nodes pathology, Neoplasm Micrometastasis pathology, Retrospective Studies, Neoplasm Staging, Lymph Node Excision, Endometrial Neoplasms surgery, Endometrial Neoplasms pathology, Sentinel Lymph Node surgery, Sentinel Lymph Node pathology
Abstract

Background: Sentinel lymph node (SLN) biopsy has recently been accepted to evaluate nodal status in endometrial cancer at early stage, which is key to tailoring adjuvant treatments. Our aim was to evaluate the national implementation of SLN biopsy in terms of accuracy to detect nodal disease in a clinical setting and oncologic outcomes according to the volume of nodal disease., Patients and Methods: A total of 29 Spanish centers participated in this retrospective, multicenter registry including patients with endometrial adenocarcinoma at preoperative early stage who had undergone SLN biopsy between 2015 and 2021. Each center collected data regarding demographic, clinical, histologic, therapeutic, and survival characteristics., Results: A total of 892 patients were enrolled. After the surgery, 12.9% were suprastaged to FIGO 2009 stages III-IV and 108 patients (12.1%) had nodal involvement: 54.6% macrometastasis, 22.2% micrometastases, and 23.1% isolated tumor cells (ITC). Sensitivity of SLN biopsy was 93.7% and false negative rate was 6.2%. After a median follow up of 1.81 years, overall surivial and disease-free survival were significantly lower in patients who had macrometastases when compared with patients with negative nodes, micrometastases or ITC., Conclusions: In our nationwide cohort we obtained high sensitivity of SLN biopsy to detect nodal disease. The oncologic outcomes of patients with negative nodes and low-volume disease were similar after tailoring adjuvant treatments. In total, 22% of patients with macrometastasis and 50% of patients with micrometastasis were at low risk of nodal metastasis according to their preoperative risk factors, revealing the importance of SLN biopsy in the surgical management of patients with early stage EC., (© 2023. The Author(s).)

Published
2023
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