The Prognosis Predictive Score around Neo Adjuvant Chemotherapy (PPSN) Improves Diagnostic Efficacy in Predicting the Prognosis of Epithelial Ovarian Cancer Patients
Background: Recent studies have shown that pretreatment inflammatory responses can predict prognosis. However, no reports have analyzed the combined effect of the inflammatory response with pre-treatment and post-neo adjuvant chemotherapy (NACT). This retrospective study aims to identify factors pre...
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MDPI AG
2023-10-01
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| Online Access: | https://www.mdpi.com/2072-6694/15/20/5062 |
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| author | Naoki Kawahara Shoichiro Yamanaka Sumire Sugimoto Junya Kamibayashi Kyohei Nishikawa Ryuji Kawaguchi Fuminori Kimura |
| author_facet | Naoki Kawahara Shoichiro Yamanaka Sumire Sugimoto Junya Kamibayashi Kyohei Nishikawa Ryuji Kawaguchi Fuminori Kimura |
| author_sort | Naoki Kawahara |
| collection | DOAJ |
| description | Background: Recent studies have shown that pretreatment inflammatory responses can predict prognosis. However, no reports have analyzed the combined effect of the inflammatory response with pre-treatment and post-neo adjuvant chemotherapy (NACT). This retrospective study aims to identify factors predicting prognosis and create a novel predictive scoring system. Methods: The study was conducted at our institution between June 2006 and March 2020. Demographic and clinicopathological data were collected from patients with advanced epithelial ovarian cancer who underwent neoadjuvant chemotherapy after sample collection by laparoscopic or laparotomy surgery, followed by interval debulking surgery. We created a scoring system, called the Predictive Prognosis Score around NACT (PPSN), using factors extracted from a receiver operating characteristic curve analysis. Univariate and multivariate analyses were conducted to assess the efficacy of PPSN in predicting progression-free survival and overall survival. Kaplan-Meier and log-rank tests were used to compare the PFS or OS rate. Results: Our study included 72 patients, with a cut-off value of four for the scoring system. Our analysis showed that high PPSN (≥4) significantly predicts poor prognosis. Moreover, CD3<sup>+</sup> and CD8<sup>+</sup> tumor-infiltrating lymphocytes with low PPSN (<4) showed higher aggregation than those with high PPSN (≥4) cases. Conclusion: Our study shows that PPSN could be a useful prognostic tool for advanced EOC patients who undergo NACT followed by IDS. |
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| language | English |
| last_indexed | 2024-03-10T21:21:12Z |
| publishDate | 2023-10-01 |
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| spelling | doaj.art-00a796b9c4f84d3d8f71558ece0531392023-11-19T16:00:02ZengMDPI AGCancers2072-66942023-10-011520506210.3390/cancers15205062The Prognosis Predictive Score around Neo Adjuvant Chemotherapy (PPSN) Improves Diagnostic Efficacy in Predicting the Prognosis of Epithelial Ovarian Cancer PatientsNaoki Kawahara0Shoichiro Yamanaka1Sumire Sugimoto2Junya Kamibayashi3Kyohei Nishikawa4Ryuji Kawaguchi5Fuminori Kimura6Department of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8521, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8521, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8521, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8521, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8521, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8521, JapanDepartment of Obstetrics and Gynecology, Nara Medical University, 840 Shijo-cho, Kashihara 634-8521, JapanBackground: Recent studies have shown that pretreatment inflammatory responses can predict prognosis. However, no reports have analyzed the combined effect of the inflammatory response with pre-treatment and post-neo adjuvant chemotherapy (NACT). This retrospective study aims to identify factors predicting prognosis and create a novel predictive scoring system. Methods: The study was conducted at our institution between June 2006 and March 2020. Demographic and clinicopathological data were collected from patients with advanced epithelial ovarian cancer who underwent neoadjuvant chemotherapy after sample collection by laparoscopic or laparotomy surgery, followed by interval debulking surgery. We created a scoring system, called the Predictive Prognosis Score around NACT (PPSN), using factors extracted from a receiver operating characteristic curve analysis. Univariate and multivariate analyses were conducted to assess the efficacy of PPSN in predicting progression-free survival and overall survival. Kaplan-Meier and log-rank tests were used to compare the PFS or OS rate. Results: Our study included 72 patients, with a cut-off value of four for the scoring system. Our analysis showed that high PPSN (≥4) significantly predicts poor prognosis. Moreover, CD3<sup>+</sup> and CD8<sup>+</sup> tumor-infiltrating lymphocytes with low PPSN (<4) showed higher aggregation than those with high PPSN (≥4) cases. Conclusion: Our study shows that PPSN could be a useful prognostic tool for advanced EOC patients who undergo NACT followed by IDS.https://www.mdpi.com/2072-6694/15/20/5062epithelial ovarian cancer (EOC)neo adjuvant chemotherapy (NACT)interval debulking surgery (IDS)prognosis predictive score around neo adjuvant chemotherapy (PPSN)inflammatory responseprogression-free survival (PFS) |
| spellingShingle | Naoki Kawahara Shoichiro Yamanaka Sumire Sugimoto Junya Kamibayashi Kyohei Nishikawa Ryuji Kawaguchi Fuminori Kimura The Prognosis Predictive Score around Neo Adjuvant Chemotherapy (PPSN) Improves Diagnostic Efficacy in Predicting the Prognosis of Epithelial Ovarian Cancer Patients Cancers epithelial ovarian cancer (EOC) neo adjuvant chemotherapy (NACT) interval debulking surgery (IDS) prognosis predictive score around neo adjuvant chemotherapy (PPSN) inflammatory response progression-free survival (PFS) |
| title | The Prognosis Predictive Score around Neo Adjuvant Chemotherapy (PPSN) Improves Diagnostic Efficacy in Predicting the Prognosis of Epithelial Ovarian Cancer Patients |
| title_full | The Prognosis Predictive Score around Neo Adjuvant Chemotherapy (PPSN) Improves Diagnostic Efficacy in Predicting the Prognosis of Epithelial Ovarian Cancer Patients |
| title_fullStr | The Prognosis Predictive Score around Neo Adjuvant Chemotherapy (PPSN) Improves Diagnostic Efficacy in Predicting the Prognosis of Epithelial Ovarian Cancer Patients |
| title_full_unstemmed | The Prognosis Predictive Score around Neo Adjuvant Chemotherapy (PPSN) Improves Diagnostic Efficacy in Predicting the Prognosis of Epithelial Ovarian Cancer Patients |
| title_short | The Prognosis Predictive Score around Neo Adjuvant Chemotherapy (PPSN) Improves Diagnostic Efficacy in Predicting the Prognosis of Epithelial Ovarian Cancer Patients |
| title_sort | prognosis predictive score around neo adjuvant chemotherapy ppsn improves diagnostic efficacy in predicting the prognosis of epithelial ovarian cancer patients |
| topic | epithelial ovarian cancer (EOC) neo adjuvant chemotherapy (NACT) interval debulking surgery (IDS) prognosis predictive score around neo adjuvant chemotherapy (PPSN) inflammatory response progression-free survival (PFS) |
| url | https://www.mdpi.com/2072-6694/15/20/5062 |
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