The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer
Abstract In recent years, the pretreatment inflammatory responses have proven to predict the prognosis, but no report exists analyzing the combined inflammatory response of the pre- and postsurgical treatment. The current study aims to extract the factors predicting the recurrence and create novel p...
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| Format: | Article |
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Nature Portfolio
2022-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-27333-1 |
| _version_ | 1797973658996572160 |
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| author | Naoki Kawahara Ryuji Kawaguchi Keita Waki Tomoka Maehana Shoichiro Yamanaka Yuki Yamada Fuminori Kimura |
| author_facet | Naoki Kawahara Ryuji Kawaguchi Keita Waki Tomoka Maehana Shoichiro Yamanaka Yuki Yamada Fuminori Kimura |
| author_sort | Naoki Kawahara |
| collection | DOAJ |
| description | Abstract In recent years, the pretreatment inflammatory responses have proven to predict the prognosis, but no report exists analyzing the combined inflammatory response of the pre- and postsurgical treatment. The current study aims to extract the factors predicting the recurrence and create novel predictive scoring. This retrospective study was conducted at our institution between November 2006 and December 2020, with follow-up until September 2022. Demographic and clinicopathological data were collected from women who underwent primary debulking surgery. We created the scoring system named the prognosis predictive score around primary debulking surgery(PPSP) for progression-free survival(PFS). Univariate and multivariate analyses were performed to assess its efficacy in predicting PFS and overall survival(OS). Cox regression analyses were used to assess its time-dependent efficacy. Kaplan–Meier and the log-rank test were used to compare the survival rate. A total of 235 patients were included in the current study. The cut-off value of the scoring system was six. Multivariate analyses revealed that an advanced International Federation of Gynecology and Obstetrics(FIGO) stage (p < 0.001 for PFS; p = 0.038 for OS), the decreased white blood cell count difference (p = 0.026 for PFS) and the high-PPSP (p = 0.004 for PFS; p = 0.002 for OS) were the independent prognostic factors. Cox regression analysis also supported the above results. The PPSP showed good prognostic efficacy not only in predicting the PFS but also OS of ovarian cancer patients comparable to FIGO staging. |
| first_indexed | 2024-04-11T04:07:47Z |
| format | Article |
| id | doaj.art-cc29bd1531d142db97fe755a6ea70977 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T04:07:47Z |
| publishDate | 2022-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-cc29bd1531d142db97fe755a6ea709772023-01-01T12:18:31ZengNature PortfolioScientific Reports2045-23222022-12-011211910.1038/s41598-022-27333-1The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancerNaoki Kawahara0Ryuji Kawaguchi1Keita Waki2Tomoka Maehana3Shoichiro Yamanaka4Yuki Yamada5Fuminori Kimura6Department of Obstetrics and Gynecology, Nara Medical UniversityDepartment of Obstetrics and Gynecology, Nara Medical UniversityDepartment of Obstetrics and Gynecology, Nara Medical UniversityDepartment of Obstetrics and Gynecology, Nara Medical UniversityDepartment of Obstetrics and Gynecology, Nara Medical UniversityDepartment of Obstetrics and Gynecology, Nara Medical UniversityDepartment of Obstetrics and Gynecology, Nara Medical UniversityAbstract In recent years, the pretreatment inflammatory responses have proven to predict the prognosis, but no report exists analyzing the combined inflammatory response of the pre- and postsurgical treatment. The current study aims to extract the factors predicting the recurrence and create novel predictive scoring. This retrospective study was conducted at our institution between November 2006 and December 2020, with follow-up until September 2022. Demographic and clinicopathological data were collected from women who underwent primary debulking surgery. We created the scoring system named the prognosis predictive score around primary debulking surgery(PPSP) for progression-free survival(PFS). Univariate and multivariate analyses were performed to assess its efficacy in predicting PFS and overall survival(OS). Cox regression analyses were used to assess its time-dependent efficacy. Kaplan–Meier and the log-rank test were used to compare the survival rate. A total of 235 patients were included in the current study. The cut-off value of the scoring system was six. Multivariate analyses revealed that an advanced International Federation of Gynecology and Obstetrics(FIGO) stage (p < 0.001 for PFS; p = 0.038 for OS), the decreased white blood cell count difference (p = 0.026 for PFS) and the high-PPSP (p = 0.004 for PFS; p = 0.002 for OS) were the independent prognostic factors. Cox regression analysis also supported the above results. The PPSP showed good prognostic efficacy not only in predicting the PFS but also OS of ovarian cancer patients comparable to FIGO staging.https://doi.org/10.1038/s41598-022-27333-1 |
| spellingShingle | Naoki Kawahara Ryuji Kawaguchi Keita Waki Tomoka Maehana Shoichiro Yamanaka Yuki Yamada Fuminori Kimura The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer Scientific Reports |
| title | The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer |
| title_full | The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer |
| title_fullStr | The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer |
| title_full_unstemmed | The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer |
| title_short | The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer |
| title_sort | prognosis predictive score around primary debulking surgery ppsp improves diagnostic efficacy in predicting the prognosis of ovarian cancer |
| url | https://doi.org/10.1038/s41598-022-27333-1 |
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