Locally Advanced Cervical Cancer: Neoadjuvant Treatment versus Standard Radio-Chemotherapy—An Updated Meta-Analysis
Abstract
:Simple Summary
Abstract
1. Introduction
2. Material and Methods
2.1. Search Method
2.2. Study Selection
2.3. Statistical Analysis
2.4. Quality Assessment
3. Results
3.1. Studies’ Characteristics
3.2. Treatment Modalities
3.3. CCRT vs. CCRT plus Hysterectomy
3.4. CCRT vs. NACT plus Surgery
3.5. Complete Response Rate, Toxicity and Type of Recurrence
3.6. Meta-Analysis
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Comparative Studies | ||||||
---|---|---|---|---|---|---|
Name | Country | Study Design | Study Year | FIGO Stage | N of Partecipant (NADJ/CCRT) | Mean FUP * Months |
Albert A., 2019 [18] | USA | Retrospective Case-Control Monocentric Study | 2010–2014 | IB2 IIA | 1546 (139/1407) | 33.3 |
Cetina L., 2013 [19] | Mexico | Prospective Case-Control Monocentric Study | 2004–2009 | IB2 IIA2 IIB | 211 (111/100) | 36 |
Cetina L., 2009 [20] | Mexico | Retrospective matched Control Monocentric Study | 1999–2003 | IB2 IIA IIB | 140 (40/100) | 29 |
Chereau E., 2013 [21] | France | Retrospective Case-Control Monocentric Study | 2002–2012 | IB2 II | 80 (46/34) | 30.7 |
Darus C., 2008 [22] | USA | Retrospective Case-Control Monocentric Study | 1994–2004 | IB2 | 54 (24/30) | 46.8 |
Fanfani F., 2019 [23] | Italy | Retrospective Case-Control Multicentric Study | 1999–2013 | IIIA IIIB | 150 (73/77) | 40 |
Gupta S., 2018 [7] | India | Randomized Control Monocentric Trial | 2003–2015 | IB2 IIA IIB | 633 (316/317) | 58.5 |
Hass P., 2017 [24] | Germany | Retrospective Case-Control Multicentric Study | 2003–2011 | IB2-IVA | 248 (87/161) | 57 |
Hsieh H., 2019 [25] | Republic of China | Retrospective Case-Control Monocentric Study | 2002–2016 | IB2 | 66 ^ (39/27) | 66.2 |
Lèguevaque P., 2011 [26] | France | Retrospective Case Control Multicentric Study | 1989–2006 | IB1-IVA | 111 (67/44) | - |
Mazeron R., 2016 [27] | Russia | Retrospective Case-Control Monocentric Study | 2004–2008 | IB1 IB2 IIA IIB | 211 (54/157) | 57,4 |
Morice P., 2012 [28] | France | Randomized Control Multicentric Trial | 2003–2006 | IB2 II | 61 (31/30) | 44 |
Ryu H., 2007 [29] | Korea | Retrospective Observational Multicentric Study | 1995–2005 | IB2 | 132 ^ (81/51) | 120 |
Sala P., 2022 [30] | Italy | Retrospective Case-Control Multicentric Study | 2006–2018 | IB2-IVA | 106 (55/51) | 33 |
Shanmugam S., 2019 [17] | India | Randomized Control Monocentric Trial | 2014–2018 | IB2 IIA2 IIB | 100 (34/33/33) | 28 |
Sun L., 2014 [31] | China | Retrospective Case-Control Monocentric Study | 1992–2012 | IIB III IVA | 378 (192/186) | 190 |
Sun Y., 2022 [32] | China | Retrospective Case-Control Multicentric Study | 2013–2019 | IB2 IIA2 IIB | 147 (63/84) | 60 |
Tian T., 2021 [33] | China | Retrospective Matched Control Monocentric Study | 2013–2017 | IB2 IIA2 IIB IIIB | 56 a (28/28) | - |
Wang N., 2014 [34] | China | Prospective Case-Control Monocentric Study | 2004–2011 | IIB | 240 (119/121) | 33 |
Yang J., 2020 [35] | China | Retrospective Case-Control Monocentric Study | 2004–2018 | IB IIA IIB III | 175 (78/97) | 20.5 |
Yang S., 2015 [36] | China | Retrospective Case-Control Monocentric Study | 2007–2009 | IIB | 244 (103/141) | 67 |
Yin M., 2011 [37] | China | Retrospective Case-Control Monocentric Study | 2000–2005 | IB2 IIA IIB | 281 (187/94) | 82.8 |
Yoshida K., 2020 [38] | Japan | Retrospective Matched Case-Control Monocentric Study | 2005–2015 | IB2 IIA IIB | 245 (122/123) | 64.8 |
Zheng D., 2018 [39] | China | Retrospective Case-Control Monocentric Study | 2008–2013 | IB2 IIB | 314 (163/151) | 60 |
NADJ | CCRT | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Name | NADJ Treatment | 3Y DFS (%) | 3Y OS (%) | 4.5Y DFS (%) | 4.5Y OS (%) | FU | 3Y DFS (%) | 3Y OS (%) | 4.5Y DFS (%) | 4.5Y OS (%) | FU | P |
Albert A., 2019 [18] | Radiation | - | - | - | 82.2% | - | - | - | - | 74.9% | 33 | 0.036 |
Cetina L., 2013 [19] | 71.7 | 74.5 | - | - | 36 | 74.8 | 76.3 | - | - | 36 | 0.186 (3YDFS) 0.236 | |
Cetina L., 2009 [20] | - | - | 78% | 78% | 26 | - | - | 78% | 78% | 22 | NS | |
Chereau E., 2013 [21] | - | - | 86.9% | - | - | 85.3% | 30.7 | NS | ||||
Darus C., 2008 [22] | - | - | 83,3 | 87.5 | 46.8 | - | - | 86.6 | 83.3 | 46.8 | 0.7 (DFS) 0.8 (OS) | |
Fanfani F., 2019 [23] | 71.23 | 63.6 | - | - | 39 | 59.7 | 63.6 | - | - | 41 | 0.686 (3YDFS) 0.675 | |
Gupta S., 2018 [7] | Chemotherapy | - | - | 69.3 | 75.4 | 58.5 | - | - | 76.7 | 74.7 | 58.5 | 0.038 (3YDFS) 0.870 |
Hass P., 2017 [24] | - | - | 68.9 | - | 53 | - | - | 59.6 | - | 53 | - | |
Hsieh H., 2019 [25] | - | - | 79.3 | 94.1 | 83.5 | - | - | 79.5 | 80.1 | 63.3 | 0.401 (4.5YDFS) 0.197 | |
Lèguevaque P., 2011 [26] | - | - | 77.6 | 83.5 | - | - | - | 65.9 | 79.5 | - | 0.558 (4.5DFS) 0.296 | |
Mazeron R., 2016 [27] | - | - | 77.7 | 83.3 | 67.9 | - | - | 75.8 | 78.9 | 42.1 | 0.926 (4.5DFS) 0.630 | |
Morice P., 2012 [28] | 72 | 86 | - | - | 44 | 89 | 97 | - | - | 44 | NS (3YDFS) NS | |
Ryu H., 2007 [29] | - | - | - | 90 | 120 | - | - | - | 83 | 120 | NS | |
Sala P., 2022 [30] | - | - | 77.4 | 93.8 | 33 | - | - | 33.4 | 56.5 | 33 | <0.001 (4.5DFS) 0.003 | |
Shanmugam S., 2019 [17] | 85 88 | 100 94 | - | - | 28 | 70 | 88 | - | - | 28 | 0.571 | |
Sun L., 2014 [31] | 83.2 | 72.2 | 66.1 | 47.9 | 190 | 54.1 | 45.9 | 37.1 | 32.2 | 190 | <0.005 | |
Sun Y., 2022 [32] | 90.5 | 95.2 | 86.1 | 89.9 | 60 | 89.3 | 95.2 | 80.6 | 89.9 | 60 | 0.849 (3YDFS) 0.816 (3YOS) >0.05 (4.5YDFS7OS) | |
Tian T., 2021 [33] | - | - | 25 a | 25 b | - | - | - | 4 a | 4 b | - | 0.00015 (4.5YDFS) 0.00014 | |
Wang N., 2014 [34] | 91 | 94.9 | - | - | 36 | 81.8 | 84.6 | - | - | 30 | 0.049 (3YDFS) 0.011 | |
Yang J., 2020 [35] | 67.9 | 92.3 | - | - | 28 | 45.4 | 67 | - | - | 16 | 0.002 (3YDFS) 0.002 | |
Yin M., 2011 [37] | - | - | 65 | 78.6 | 67 | - | - | 59.4 | 74.5 | 67 | 0.456 (4.5YDFS) 0.637 | |
Yoshida K., 2020 [38] | - | - | 85 | 88.67 | 82.8 | - | - | 52 | 64.37 | 82.8 | <0.0001 (4.5DFS) <0.0001 | |
Zheng D., 2018 [39] | - | - | 78.3 a | 87.7 b | 64.8 | - | 56.9 a | 66.2 b | 64.8 | 0.027 (4.5DFS) 0.017 | ||
Yin M., 2011 [37] | 77.3 | 87.1 | 73.3 | 81.7 | 60 | 67.2 | 72.8 | 62.4 | 67.3 | 60 | 0.01 (3–4.5YDFS) 0.001 (3–4.5OS) |
Name | EBRT (Gy) | BRT Yes/No (Gy) | ADJ Surgery | Pelvic Lymphadenectomy Yes/No |
---|---|---|---|---|
Albert A., 2019 [18] | 60 | NA | SH | NA |
Cetina L., 2013 [19] | 50.4 | No | RH | Yes |
Cetina L., 2009 [20] | 50 | No a | RH | Yes |
Chereau E., 2013 [21] | 40 | Yes (20) | SH/RH | Yes |
Darus C., 2008 [22] | 45 | Yes (30) | SH | No |
Fanfani F., 2019 [23] | 50 | Yes (30) | RS | Yes |
Hass P., 2017 [24] | 50.4 | No | RS | No b |
Lèguevaque P., 2011 [26] | 45 | Yes (15) | SH/RH | Yes |
Mazeron R., 2016 [27] | 40–50.4 | Yes (20) | SH/RH | No |
Morice P., 2012 [28] | 45 | Yes (15) | SH/RH | Yes c |
Shanmugam S., 2019 [17] | 50 | No | RH | NA |
Sun L., 2014 [31] | 45–50 | Yes (45–55) | SH/RH | No |
Wang N., 2014 [34] | 40–50 | No | RH | Yes |
Yang J., 2020 [35] | NA | Yes | SH | No |
Yoshida K., 2020 [38] | 39.6 | No | RH | Yes |
Zheng D., 2018 [39] | 46–50 | Yes (25–30) | RH | Yes |
Name | Drugs | N of Cycle | ADJ Surgery | Pelvic Lymphadenectomy Yes/No |
---|---|---|---|---|
Gupta S., 2018 [7] | Paclitaxel + Carboplatin | 3 | RH | Yes |
Hsieh H., 2019 [25] | Cisplatin | 6 | RH | Yes |
Ryu H., 2007 [29] | NA | NA | RH | NA |
Sala P., 2022 [30] | Platinum based combination | 3 | RH | Yes |
Shanmugam S., 2019 [17] | Paclitaxel + Cisplatin | 3 | RH | Yes |
Sun Y., 2022 [32] | Paclitaxel + Platinum | 2 | RH | Yes |
Tian T., 2021 [33] | Paclitaxel + Cisplatin | 2–3 | RH | Yes |
Yang S., 2015 [36] | cisplatin/nedaplatin/carboplatin + pac-litaxel | 1–3 | RH | Yes |
Yin M., 2011 [37] | Platinum-based com-bination | 2–3 | RH | Yes |
Name | NADJ CR (%) | CCRT CR (%) | p |
---|---|---|---|
Cetina L., 2009 [20] | 22 (55%) | 34(85%) | 0.2 |
Cetina L., 2013 [19] | 62 (72%) | - | - |
Darus C., 2008 [22] | 13 (67%) | - | |
Chereau E., 2013 [21] | 27 (12.4%) | - | - |
Fanfani F., 2019 [23] | 41.5% | 38.9% | 0.6 |
Hass P., 2017 [24] | 40 (40.6%) | 81 (50.3%) | 0.5 |
Hsieh H., 2019 [25] | 5 (12.8%) | - | |
Shanmugam S., 2019 [17] | 24 (35.8%) | 24 (72%) | 0.001 |
Sun L., 2014 [31] | 165 (85.9%) | - | - |
Wang N., 2014 [34] | 33 (27.73%) | - | - |
Yang J., 2020 [35] | - | 28 (35.9%) | |
Yoshida K., 2020 [38] | 12 (24%) | 26(34.2%) | 0.2 |
Name | NADJ Early Complication Rate (%) | NADJ Late Complication Rate (%) | Tot. % |
---|---|---|---|
Cetina L., 2013 [19] | 0 | 5 (5.8%) | 5.8 |
Cetina L., 2009 [20] | - | 9 (22.5%) | 22.5 |
Chereau E., 2013 [21] | - | - | 6.4 |
Fanfani F., 2019 [23] | 5 (6.8%) | 3 (4.1%) | 10.9 |
Hass P., 2017 [24] | 2 (2.2%) | 2.2 | |
Mazeron R., 2016 [27] | 11 (20.3%) | 20.3 | |
Yang J., 2020 [35] | 5 (6.4%) | - | 6.4 |
Yoshida K., 2020 [38] | 14 (28%) | 28 |
Name | NADJ Recurrence Rate (%), n | Tot. | CCRT Recurrence Rate (%), n | Tot. | p |
---|---|---|---|---|---|
Cetina L., 2009 [20] | 8 (20%) | 40 | 8 (20%) | 40 | 1 |
Cetina L., 2013 [19] | 13 (11.7%) | 86 | 15 (15%) | 86 | 0.9 |
Darus C., 2008 [22] | 3 (12.5%) | 24 | 5 (16.6%) | 30 | ns |
Fanfani F., 2019 [23] | 21 (28.7) | 73 | 31 (40.2) | 77 | <0.001 |
Gupta S., 2018 [7] | 59 (18.6%) | 316 | 43 (13.56%) | 317 | 0.08 |
Hass P., 2017 [24] | 27 (31%) | 87 | 65 (40.3%) | 161 | 0.4 |
Hsieh H., 2019 [25] | 7 (17.9%) | 39 | 11 (40.7%) | 27 | ns |
Lèguevaque P., 2011 [26] | 15 (2.4%) | 67 | 16 (36.4%) | 44 | 0.01 |
Mazeron R., 2016 [27] | 14 (29.5%) | 54 | 36 (22.9%) | 157 | 0.6 |
Morice P., 2012 [28] | 8 (25.8%) | 31 | 4 (13.3%) | 30 | 0.2 |
Sun L., 2014 [31] | 32 (16.7%) | 192 | 59 (31.7%) | 186 | 0.0006 |
Sun Y., 2022 [32] | 6 (9.5%) | 63 | 12 (14.2%) | 84 | 0.3 |
Tian T., 2021 [33] | 21 | 28 | 27 | 28 | 0.02 |
Wang N., 2014 [34] | 11 (9.24) | 119 | 22 (18.18) | 121 | 0.06 |
Yang J., 2020 [35] | 16 (33.33%) | 78 | 45 (50.56%) | 97 | 0.025 |
Yang S., 2015 [36] | 59 (57.28%) | 103 | 37 (26.24%) | 141 | 0.3 |
Yin M., 2011 [37] | 28 | 187 | 45 | 94 | >0.05 |
Yoshida K., 2020 [38] | 15 (30%) | 50 | 28 (36.8%) | 76 | 0.4 |
Zheng D., 2018 [39] | 48 (29.4%) | 163 | 58 (38.4%) | 151 | 0.009 |
Name | NADJ Recurrence Site (n) | CCRT Recurrence Site (n) | p | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
l | s | ls | Tot | FUP * | l | s | ls | Tot | FUP * | ||
Cetina L., 2009 [20] | 6 | 0 | 2 | 8 | 26 | 6 | 1 | 1 | 8 | 22 | ns |
Cetina L., 2013 [19] | 7 | 6 | 0 | 13 | 36 | 10 | 5 | 0 | 15 | 36 | 0.4 (l) 0.4 (s) |
Darus C., 2008 [22] | 1 | - | - | 3 | 24 | 1 | 3 | 1 | 5 | 30 | ns |
Fanfani F., 2019 [23] | 2 | 3 | - | 21 | 39 | 7 | 6 | - | 31 | 41 | <0.002 (l) 0.9 (s) |
Gupta S., 2018 [7] | 39 | 11 | 20 | 89 | 58.5 | 19 | 22 | 24 | 73 | 58.5 | 0.01 (l) |
Hass P., 2017 [24] | 20 | 7 | 0 | 27 | 58.5 | 44 | 21 | 0 | 65 | 58.5 | 0.5 (l) 0.2 (s) |
Hsieh H., 2019 [25] | 7 | 4 | 0 | 11 | 83.5 | 3 | 4 | 0 | 7 | 63.3 | ns ns |
Lèguevaque P., 2011 [26] | 6 | 9 | 0 | 15 | - | 9 | 7 | 0 | 16 | - | 0.3 (l) 0.3 (s) |
Mazeron R., 2016 [27] | 1 | 15 | 0 | 16 | 67.9 | 11 | 41 | 0 | 52 | 42.1 | 0.1 (l) 0.1 (s) |
Morice P., 2012 [28] | 1 | 2 | 5 | 8 | 44 | 2 | 1 | 0 | 3 | 44 | ns |
Wang N., 2014 [34] | 5 | 7 | 1 | 13 | 36 | 8 | 13 | 0 | 22 | 30 | 0.5 (l) 0.2 (s) |
Yang J., 2020 [35] | 4 | 16 | 6 | 26 | 28 | 12 | 19 | 14 | 45 | 16 | 0.2 (l) 0.2 (s) |
Yang S., 2015 [36] | 17 | 13 | 7 | 37 | 67 | 33 | 18 | 8 | 59 | 67 | 0.6 (l) 0.6 (s) |
Zheng D., 2018 [39] | 12 | 29 | 7 | 48 | 60 | 18 | 32 | 8 | 58 | 60 | 0.4 (l) 0.5 (s) |
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Ronsini, C.; Solazzo, M.C.; Braca, E.; Andreoli, G.; Vastarella, M.G.; Cianci, S.; Capozzi, V.A.; Torella, M.; Cobellis, L.; De Franciscis, P. Locally Advanced Cervical Cancer: Neoadjuvant Treatment versus Standard Radio-Chemotherapy—An Updated Meta-Analysis. Cancers 2024, 16, 2542. https://doi.org/10.3390/cancers16142542
Ronsini C, Solazzo MC, Braca E, Andreoli G, Vastarella MG, Cianci S, Capozzi VA, Torella M, Cobellis L, De Franciscis P. Locally Advanced Cervical Cancer: Neoadjuvant Treatment versus Standard Radio-Chemotherapy—An Updated Meta-Analysis. Cancers. 2024; 16(14):2542. https://doi.org/10.3390/cancers16142542
Chicago/Turabian StyleRonsini, Carlo, Maria Cristina Solazzo, Eleonora Braca, Giada Andreoli, Maria Giovanna Vastarella, Stefano Cianci, Vito Andrea Capozzi, Marco Torella, Luigi Cobellis, and Pasquale De Franciscis. 2024. "Locally Advanced Cervical Cancer: Neoadjuvant Treatment versus Standard Radio-Chemotherapy—An Updated Meta-Analysis" Cancers 16, no. 14: 2542. https://doi.org/10.3390/cancers16142542
APA StyleRonsini, C., Solazzo, M. C., Braca, E., Andreoli, G., Vastarella, M. G., Cianci, S., Capozzi, V. A., Torella, M., Cobellis, L., & De Franciscis, P. (2024). Locally Advanced Cervical Cancer: Neoadjuvant Treatment versus Standard Radio-Chemotherapy—An Updated Meta-Analysis. Cancers, 16(14), 2542. https://doi.org/10.3390/cancers16142542