{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T17:23:08Z","timestamp":1787764988542,"version":"build-2784847793"},"reference-count":34,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"9","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Ovarian cancer exhibits a significant prevalence and incidence on a global scale. Low-grade or high-grade epithelial-type ovarian cancer can be classified by using the dualistic model. Inflammation has been associated with AKNA protein by cancer researchers. The potential of AKNA as a cancer biomarker is supported by its significance and association with ovarian carcinoma. Uninvestigated is this enormous potential.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim:<\/jats:title>\n                    <jats:p>This study examines the correlation between AKNA expression in low-grade and high-grade ovarian tumors and its utility as a predictive biomarker for ovarian cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>This study examined a total of thirty-one samples, which were classified into three groups: cyst, low-grade, and high-grade ovarian carcinoma. The departmental archive was accessed for the following information: age, tumor size, nuclear grade, mitosis, ovary volume, implant tumor status, lymph vascular invasion status, lymph node metastasis, and tumor-infiltrating lymphocyte. The expression of AKNA was determined using IHC staining. The information was collected and analyzed via analysis of variance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      The AKNA H-score shows the mean difference between all three groups (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001). Cysts had the highest AKNA expression, followed by low-grade and high-grade ovarian carcinoma.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Higher-grade ovarian cancer expressed less AKNA compared to cysts or low-grade forms of the disease. This considerable difference suggests that AKNA might predict ovarian cancer tumor grade.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/njcp.njcp_46_24","type":"journal-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T14:02:35Z","timestamp":1727704955000},"page":"1089-1094","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["Potential of AKNA as a Predictive Biomarker for Ovarian Cancer and Its Relationship to Tumor Grading"],"prefix":"10.4103","volume":"27","author":[{"given":"P","family":"Rustamadji","sequence":"first","affiliation":[{"name":"Department of Anatomic Pathology, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Hospital, Jakarta, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E","family":"Wiyarta","sequence":"additional","affiliation":[{"name":"Department of Medical Science, Faculty of Medicine Universitas 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Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R","family":"Kodariah","sequence":"additional","affiliation":[{"name":"Department of Anatomic Pathology, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Hospital, Jakarta, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2024,9,30]]},"reference":[{"key":"R1-20250306","doi-asserted-by":"crossref","first-page":"394","DOI":"10.3322\/caac.21492","article-title":"Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"68","author":"Bray","year":"2018","journal-title":"CA Cancer J Clin"},{"key":"R2-20250306","doi-asserted-by":"crossref","first-page":"284","DOI":"10.3322\/caac.21456","article-title":"Ovarian cancer statistics, 2018","volume":"68","author":"Torre","year":"2018","journal-title":"CA Cancer J 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