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Phylogenetic Analysis of Human Papillomavirus 16 and 52 L1 Gene from Cervical Cancer in Bandung, Indonesia Mutia Latief; Ika Agus Rini; Gita Widya Pradini; Gatot Nyarumenteng Adhipurnawan Winarno; Edhyana Sahiratmadja; Herman Susanto
The Indonesian Biomedical Journal Vol 10, No 1 (2018)
Publisher : The Prodia Education and Research Institute (PERI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18585/inabj.v10i1.296

BACKGROUND: Chronic infection with high-risk type of human papillomavirus (HPV) can cause cervical cancer. Previous studies showed that multiple infections of HPV are found in cervical cancer caused by multiple HPV infections and the most common are HPV-16 and HPV-52. The origin of HPV-16 circulating in Indonesia varies. The purpose of this study was to explore the origin of multiple infections of HPV-52 and HPV-16 in cervical cancer by using a phylogenetic tree.METHODS: During July-November 2010, 100 women were diagnosed with cervical cancer in the Department of Obstetrics and Gynecology, Dr. Hasan Sadikin General Hospital, Bandung, Indonesia. Only 96 patients were involved in this study. Ninety-six samples of HPV deoxyribonucleic acid (DNA) were isolated from biopsied tissue of cervical cancer. Multiple infections of HPV genotypes HPV-16 and HPV-52 were confirmed by using the linear assay for HPV genotyping test. Afterward,HPV-52L1 gene was amplified by using self-designed primer. L1 gene was also sequenced and analyzed using phylogenetic program (MEGA6.06).RESULTS: The result of phylogenetic tree construction showed that isolated HPV-52 originated from multiple infections of HPV-16 and HPV-52 from cervical cancer patients in Bandung were in a subgroup with isolates originating from EU077219 Canada (America) and KT799980 southwest China (Asia). Isolate HPV-16 in one subgroup with isolates originating from KU951191.1 (Southwest China).CONCLUSION: L1 gene sequence from multiple infections isolated from HPV-16 and HPV-52 from cervical cancer patients in Bandung refers to the variation of L1 gene reported from Canada and southwest China. This proves that Indonesia’s HPV clusters are located in the strains found in America and Asia.KEYWORDS: multiple infections, HPV-16, HPV-52, L1 gene, phylogenetic

Profil Klinikopatologi Pasien Tumor Trofoblas Gestasional yang Dilakukan Operasi di RSUP DR. Hasan Sadikin Bandung Tahun 2017-2020 Aviscena Fahmi Ali; Dodi Suardi; Hermin Aminah Usman; Gatot Nyarumenteng Adhipurnawan Winarno; Andi Kurniadi
Indonesian Journal of Obstetrics & Gynecology Science Volume 5 Nomor 2 September 2022
Publisher : Dep/SMF Obstetri & Ginekologi Fakultas Kedokteran Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/obgynia/v5n2.381

Tujuan: Mengetahui proporsi klinis dan histopatologi pasien tumor trofoblas gestasional yang dilakukan operasiMetode: Penelitian ini menggunakan desain studi deskriptif, dengan pengambilan data menggunakan total sampling. Kriteria inklusi adalah Pasien tumor trofoblas gestasional yang dilakukan operasi dengan data lengkap.Hasil: Total 27 kasus, didapatkan bahwa pasien tumor trofoblas gestasional yang dilakukan operasi sebagian besar memiliki kategori usia ≥40 tahun (59,26%), paritas multipara (66,67%), kehamilan sebelumnya mola (66,67%), interval dengan kehamilan sebelumnya >12 bulan (55,56%), kadar β-hCG sebelum operasi 103 -<104 mIU/ml (40,74%), ukuran tumor terbesar ≥5 cm (88,89%), lokasi metastasis tidak ada (74,07%), jumlah metastasis 0 (74,07%), kegagalan kemoterapi agen multipel (74,07%), jenis operasi histerektomi (96,30%), kadar β-hCG setelah operasi <103 mIU/ml (77,78%), dan gambaran histopatologi koriokarsinoma (88,89%). Diskusi: Penelitian ini didapatkan bahwa seluruh pasien tumor trofoblas gestasional yang dilakukan operasi memiliki skor FIGO/WHO ≥7 yang berarti berisiko tinggi.Kesimpulan: Kasus-kasus tumor trofoblas gestasional yang dilakukan operasi pada penelitian ini sebagian besar memberikan profil klinis berupa multipara, jenis kehamilan sebelumnya mola, dan kegagalan kemoterapi agen multipel dengan jenis histopatologi koriokarsinoma.Profile Clicopathological of Gestational Trophoblastic Neoplasia Patients Who Underwent Surgery at Dr. Hasan Sadikin General Hospital Bandung in 2017–2020AbstractObjective: Knowing the clinical and histopathological proportion of gestational trophoblastic neoplasia patients who underwent surgery.Methods: This study uses a descriptive study design and the data collection using total sampling. The inclusion criteria gestational trophoblastic neoplasia patients who underwent surgery with complete data.Result: : A total of 27 cases, it was found that the most GTN patients who underwent surgery had an age category of 40 years (59.26%), multiparity (66.67%), previous molar pregnancies (66.67%), intervals with previous pregnancies >12 months (55.56%), β-hCG levels before surgery 103 -<104 mIU/ml (40.74%), the largest tumour size 5 cm (88.89%), no metastatic site (74.07 %), failure of multiple agent chemotherapy (74,07%), hysterectomy surgery (96.30%), β-hCG level after surgery <103 mIU/ml (77.78% ), and histopathological features of choriocarcinoma (88.89%).Discussion: In this study, it was found that all gestational trophoblastic neoplasia patients who underwent surgery had a FIGO/WHO score ≥7 which means high risk.Conclusion: The gestational trophoblastic neoplasia cases that underwent surgery in this study presented a clinical profile of multiparity, previous molar pregnancy, and failure of multiple agent chemotherapy with histopathological type of choriocarcinoma.Key words: Profile, gestational trophoblastic neoplasia, operation

Profil dan Karakteristik Penderita Tumor Trofoblas Gestasional di RSUP Dr. Hasan Sadikin Periode 2021 Muhamad Bagja Ramadhan; Siti Salima; Andi Kurniadi; Gatot Nyarumenteng Adhipurnawan Winarno; Ali Budi Harsono
Indonesian Journal of Obstetrics & Gynecology Science Volume 5 Nomor 2 September 2022
Publisher : Dep/SMF Obstetri & Ginekologi Fakultas Kedokteran Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/obgynia/v5n2.380

Tujuan: Tumor trofoblas gestasional (TTG) adalah suatu bentuk keganasan ginekologi pada hidatidosa yang diakibatkan oleh adanya abnormalitas proliferasi sel trofoblas. Insidensi TTG di negara Asia Tenggara ialah 9,2:40000 kehamilan. Beberapa faktor yang mempengaruhi perkembangan TTG diantaranya ialah riwayat kehamilan, usia dan kadar b-hcg. Namun hingga saat ini profil pasien TTG masih terbatas, oleh karenanya penelitian ini bertujuan menganalisis profil dan karakteristik pasien TTG di RSUP Dr. Hasan Sadikin Bandung.Metode: Metode penelitian ini ialah deskriptif kuantitatif, dengan menggunakan data sekunder yang berasal dari rekam medis pasien. Seluruh pasien yang didiagnosis TTG pada periode 2021 menjadi sampel pada penelitian ini. Variabel penelitian ini ialah status sosiodemografi, faktor risiko, gambaran klinis, dan gambaran terapi.Hasil: Jumlah sampel pada penelitian ini ialah 66 pasien. Sebanyak 53,03% pasien berusia 20-35 tahun. Sebanyak 55 pasien datang dalam kondisi stadium I (83,33%) sedangkan berdasarkan skoring FIGO sebanyak 42 pasien (63,63%) merupakan pasien dengan risiko rendah. Metastasis paru terjadi pada 7 pasien (20,61%). Kesimpulan: Mayoritas pasien TTG berusia 20-35 tahun dan tidak bekerja. Secara gambaran klinis; stadium I dan risiko rendah sering ditemukan. Kemoterapi dominan dipilih, serta multi-agent lebih sering digunakan.Profile and Characteristics GTN cases in Hasan Sadikin General Hospital in 2021 Gestational Trophoblastic NeoplasmaAbstractObjective: Gestational trophoblastic tumor (TTG) is a form of hydatidiform gynecologic malignancy caused by abnormal trophoblast cell proliferation. The incidence of TTG in Southeast Asian countries is 9.2:40000 pregnancies. Several factors that influence the development of TTG include a history of pregnancy, age and levels of b-hCG. However, until now the profile of TTG patients is still limited, therefore this study aims to analyze the profiles of TTG patients at Dr. Hasan Sadikin Bandung.Methods: This research method is descriptive quantitative, using secondary data derived from the patient's medical record. All patients diagnosed with TTG in the period 2021 were sampled in this study. The variables of this study were sociodemographic status, risk factors, clinical features, and therapeutic features.Results: The number of samples in this study was 66 patients. A total of 53.03% of patients aged 20-35 years. A total of 55 patients came in stage I condition (83.33%) while based on FIGO scoring 42 patients (63.63%) were low risk patients. Pulmonary metastases occurred in 7 patients (20.61%). Conclusion: The majority of TTG patients are aged 20-35 years and do not work. In the clinical picture; stage I and low risk are common. Predominant chemotherapy is chosen, and multi-agent is used more often.Key words: Gestational Trophoblastic Neoplasia, Patient Profile, Hydatidiform mole, Gynecological Malignancy

CA-125 sebagai Prediktor Sitoreduksi pada Pasien Kanker Ovarium Tipe Epitel Bagja Dumas Darwizar; Gatot Nyarumenteng Adipurnawan Winarno; Jusuf Sulaeman Effendi
Indonesian Journal of Obstetrics & Gynecology Science Volume 6 Nomor 2 Juli 2023
Publisher : Dep/SMF Obstetri & Ginekologi Fakultas Kedokteran Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/obgynia/v6.n2.266

Tujuan: Penelitian ini bertujuan untuk mengetahui apakah CA-125 dapat menjadi prediktor yang baik untuk sitoreduksi pada kanker ovarium tipe epitel.Metode: Desain penelitian ini adalah cross sectional dengan pemeriksaan pasien yang diduga memiliki tumor ganas ovarium, pemeriksaan kadar CA-125 pre operasi dan jenis sitoreduksi pasca operasi. Sitoreduksi optimal dipertimbangkan jika sisa tumor terbesar berdiameter <1 cm. Nilai p numerik diuji dengan uji T tidak berpasangan jika data berdistribusi normal dengan uji alternatif Mann Whitney jika data tidak berdistribusi normal. Data kategorik nilai p dihitung berdasarkan uji Chi-Square dengan alternatif Kolmogorov Smirnov dan uji Exact Fisher jika persyaratan Chi-Square tidak terpenuhi. Nilai diagnostik CA-125 dievaluasi dan nilai cut-off optimal ditentukan. Analisis ROC digunakan untuk menentukan nilai cut-off CA-125 yang optimal. Data yang diperoleh direkam dalam bentuk khusus kemudian diolah dengan SPSS versi 25.0 for windows. Pasien yang dikumpulkan sesuai dengan kriteria selama masa penelitian adalah 109 pasien.Hasil: Ditemukan bahwa nilai rata-rata CA-125 untuk kelompok sitoreduksi suboptimal lebih tinggi dibandingkan dengan kelompok sitoreduksi optimal (1157,63±2105,196 vs 237,53±319,432), yang signifikan secara statistik, p=0,0001 (nilai p<0,05). Cut off point CA-125 dalam penelitian ini adalah 248,55 dengan nilai sensitivitas 73,2%, nilai spesifisitas 73,6%, nilai prediksi positif 74,5%, nilai prediksi negatif 72,2%, dan akurasi 73,3%. Kesimpulan: Data kami menunjukkan bahwa CA-125 pre-operasi adalah prediktor sedang untuk sitoreduksi yang optimal.CA-125 as A Cyoreduction Predictor in Patient with Epithelial Ovarian CarcinomaAbstract Objective: This study aims to determine whether CA-125 can be a good predictor of cytoreduction in epithelial ovarian carcinoma.Method: Cross sectional study by examining patients suspected of ovarian malignancy, checking for their preoperative CA-125 levels and post operative type of cytoreduction. Optimal cytoreduction was considered if the largest residual tumor was <1 cm in diameter. Numerical p value is tested by unpaired T test if the data is normally distributed with the alternative Mann Whitney test if the data is not normally distributed. The p value categorical data is calculated based on the Chi-Square test with the alternative Kolmogorov Smirnov and Exact Fisher tests if the requirements of the Chi-Square are not met. The diagnostic value of the CA-125 is evaluated and the optimal cut-off value is determined. The ROC analysis was plotted to determine the optimal cut-off of CA-125. The data obtained is recorded in a special form and then processed with SPSS version 25.0 for windows. Patients collected during the study period were 109 patients. Results: It was found that mean value of CA-125 for suboptimal cytoreduction group was higher than optimal cytoreduction (1157.63±2105.196 vs 237.53±319.432), which is statistically significant, p = 0.0001 (p value <0.05). CA-125 cut off point in this research was 248.55 with sensitivity value of 73.2%, specificity value of 73.6%, the positive predictive value 74.5%, the negative predictive value 72.2% and its accuracy 73.3%. Conclusion: Our data indicate that preoperative CA-125 is moderate predictor for optimal cytoreduction.Key words: CA-125, cytoreduction, Epithelial Ovarian Carcinoma, Predictor

Performance of Pre-Operative IOTA Three-Step Algorithm in Detecting Ovarian Carcinoma in a Referral Center in Indonesia Kurniadi, Andi; Permadi, Wiryawan; Kusuma, Aria Yusti; Kireina, Jessica; Andarini, Mia Yasmina; Winarno, Gatot Nyarumenteng Adhipurnawan; Harsono, Ali Budi
Indonesian Journal of Cancer Vol 18, No 1 (2024): March
Publisher : http://dharmais.co.id/

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33371/ijoc.v18i1.1044

Background: To assess the diagnostic performance of a three-step algorithm using the International Ovarian Tumor Analysis (IOTA) Group ‘simple rules’, ‘simple descriptors’, and Assessment of Different NEoplasias in the adneXa (ADNEX) model for discriminating benign and malignant adnexal masses. Methods: This was a retrospective observational study, performed at a tertiary-care university hospital, on women diagnosed with adnexal mass on ultrasonography from January 2021 and February 2022. The examiner first classified the mass using ‘simple descriptors’ (first step) and, if not possible, using ‘simple rules’ (second step). For inconclusive masses, an assessment using the ADNEX model was done as the third step. All masses were managed surgically. Histopathology results were used as the reference standard.Results: One hundred and forty-one women were included (median age of 48 years). Histopathology results showed 104 (73.76%) mass to be malignant, and 37 (26.24%) mass to be benign. Twelve (8.51%) of 141 masses could be classified using simple descriptors, 89 (63.12%) masses were classified using simple rules, and 40 (28.37%) masses were classified using the ADNEX model. Overall accuracy, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio of the three-step algorithm were 89.36%, 94.23%, 75.68%, 91.59%, 82.35%, 3.87, and 0.08 respectively.Conclusions: The IOTA three-step algorithm, based on the sequential use of simple descriptors, simple rules, and ADNEX model, performs well for classifying adnexal masses as benign or malignant

Clinicopathological Characteristics of Cervical Carcinoma with Pelvic Lymph Node Metastases in Dr. Hasan Sadikin General Hospital, Bandung 2013-2021 Sri Rejeki, Henny; Suryanti, Sri; Yantisetiasti, Anglita; Mantilidewi, Kemala I.; Winarno, Gatot Nyarumenteng Adhipurnawan
Althea Medical Journal Vol 10, No 2 (2023)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v10n2.2776

Background: Carcinoma of the cervix is the most common gynecological malignancy, which ranks first among carcinomas in Indonesia. Lymph node metastasis is a risk of recurrence, affecting survival and therapy. The purpose of this study was to determine the clinicopathological characteristics of cervical carcinoma with pelvic lymph node metastasis that had undergone radical hysterectomy and lymphadenectomy at Dr. Hasan Sadikin General Hospital, Bandung.Methods: This study used a cross-sectional retrospective descriptive study. Data on the clinical stage I-II cervical cancer patients with pelvic lymph node metastasis were collected from the archives of the pathological anatomy laboratory during period from 2013 to 2021. Data were presented in percentage.Results: There were 64 data patients, and the most common age of cervical carcinoma ranged from 40 to 50 years old (52%), the most common stage was stage II (66%), and the most frequent histopathological type was squamous cell carcinoma (70%). The highest degree of differentiation was moderate differentiation (50%). There was no difference in tumor size between sizes <4 cm and ≥4 cm.Conclusion: The cases of cervical carcinoma at Dr. Hasan Sadikin General Hospital Bandung are treated with radical hysterectomy and lymphadenectomy. The patients generally aged between 41–50 years old, stage II, and squamous cell carcinoma with a moderate degree of differentiation.

Distinguishing Benign and Malignant Ovarian Tumors Preoperatively Adhipurnawan Winarno, Gatot Nyarumenteng
Indonesian Journal of Obstetrics & Gynecology Science Volume 7 Nomor 2 Juli 2024
Publisher : Dep/SMF Obstetri & Ginekologi Fakultas Kedokteran Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/obgynia.v7i2.683

Ovarian cancer ranks as the fifth leading cause of cancer-related mortality among women globally. In 2020, there were approximately 314,000 reported cases of new ovarian cancer patients, resulting in an estimated 207,000 deaths.1 The highest incidence rates were observed in non-Hispanic white women, with 12.0 cases per 100,000 individuals, followed by Hispanics (10.3 per 100,000), non-Hispanic blacks (9.4 per 100,000), and Asian/Pacific Islander women (9.2 per 100,000). Disparities in access to healthcare services and treatment modalities contribute to varied mortality patterns, with the highest rates recorded among African populations. In Indonesia, ovarian cancer ranks as the third most prevalent cancer, comprising 7.84% of total cancers diagnosed in women.1 The heightened mortality rate observed in ovarian cancer can be ascribed to several factors including asymptomatic tumor growth, delayed manifestation of symptoms, and inadequate screening methods, ultimately resulting in diagnoses at advanced stages. Consequently, ovarian cancer is frequently described as a “silent killer”.2 To address diagnostic delays and reduce mortality rates associated with ovarian cancer, early detection and differentiation between benign and malignant ovarian tumors are crucial. This requires a comprehensive assessment comprising patient history, physical examination, and supporting investigation.

Association Between Maternal Random Blood Glucose Level and Prematurity at Margono Soekardjo Hospital Purwokerto Rachmayanti, Erma; Priyanto, Edy Priyanto; Winarno, Gatot Nyarumenteng Adhipurnawan; Suhartomo, Dalri Muhammad
Indonesian Journal of Obstetrics & Gynecology Science Volume 8 Nomor 2 July 2025
Publisher : Dep/SMF Obstetri & Ginekologi Fakultas Kedokteran Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/obgynia.v8i2.893

Objective: Hyperglycemia is among the most common medical conditions encountered during pregnancy. Its prevalence continues to rise in line with two other global epidemics, obesity and diabetes. Studies have shown that hyperglycemia during pregnancy can induce negative impacts on maternal-fetal well-being, one of which is premature birth. This study aims to investigate the association between maternal random blood glucose (RBG) level and prematurity.Methods: This is an observational analytical study with a cross-sectional approach. The data used in the study were obtained from the medical records of patients who gave birth at Margono Soekarjo Hospital, Purwokerto, from January 2023 to February 2024.Result: This study found an association between high maternal RBG levels and prematurity (P-value < 0.005).Conclusion: High maternal RBG level is a risk factor for prematurity. The result of this study shows that RBG may be used as a practical and efficient alternative method to rule out hyperglycemia in pregnancy when OGTT is difficult to perform.Hubungan antara Kadar Glukosa Darah Sewaktu Maternal dan Kejadian Prematuritas di RS. Margono Soekardjo PurwokertoAbstrakTujuan: Hiperglikemia merupakan salah satu kondisi medis yang paling umum dijumpai selama kehamilan. Prevalensinya terus meningkat seiring dengan dua epidemi global lainnya, yaitu obesitas dan diabetes. Berbagai penelitian telah menunjukkan bahwa hiperglikemia selama kehamilan dapat memberikan dampak negatif terhadap kesejahteraan ibu dan janin, salah satunya adalah kelahiran prematur. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara kadar glukosa darah sewaktu (GDS) maternal dan kejadian prematuritas.Metode: Penelitian ini merupakan studi observasional analitik dengan pendekatan potong lintang. Data yang digunakan berasal dari rekam medis pasien yang melahirkan di RSUD Margono Soekarjo, Purwokerto, pada periode Januari 2023 hingga Februari 2024.Hasil: Dalam penelitian ini ditemukan adanya hubungan yang signifikan antara kadar GDS maternal yang tinggi dan prematuritas (nilai P<0,005).Kesimpulan: Kadar GDS maternal yang tinggi merupakan salah satu faktor risiko terjadinya prematuritas. Berdasarkan hasil penelitian ini, GDS dapat dipertimbangkan sebagai metode alternatif yang praktis dan efisien untuk mendeteksi hiperglikemia dalam kehamilan, terutama ketika pemeriksaan OGTT sulit dilakukan

HALP and SII: Innovative Biomarkers for Diagnosing Ovarian Cancer in Both Epithelial and Non-Epithelial Subtypes Ridwan, Steven; Mantilidewi, Kemala Isnainiasih; A.W., Gatot Nyarumenteng; Kurniadi, Andi; Suardi, Dodi; Salima, Siti; Rauf, Syahrul; Hidayat, Yudi Mulyana
Indonesian Journal of Obstetrics & Gynecology Science Volume 8 Nomor 2 July 2025
Publisher : Dep/SMF Obstetri & Ginekologi Fakultas Kedokteran Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/obgynia.v8i2.882

Objective: To evaluate the diagnostic utility of PHAL (Platelet, Hemoglobin, Albumin, and Lymphocyte), SII (Systemic Immune Inflammation Index), and SIRI (Systemic Inflammatory Response Index) for both epithelial and non-epithelial ovarian cancer.Methods: A cross-sectional study of 156 patients with ovarian masses was conducted using preoperative laboratory data to calculate PHAL, SII, and SIRI scores. Histopathology confirmed diagnoses. Population I included all ovarian cancer types and benign tumors, while Population II included only non-epithelial ovarian cancer and benign tumors. Statistical analysis using SPSS 25.0, involved ROC curve and validity testing to assess diagnostic performance.Result: SII showed the best performance in the overall population (AUC 0.738; sensitivity 71.25%; specificity 72.37%; accuracy 71.79%; LR+ 2.58; LR– 0.40). In the subgroup of non-epithelial ovarian cancer versus benign tumors, PHAL had the highest diagnostic accuracy (AUC 0.819; sensitivity 81.81%; specificity 73.68%; accuracy 75.51%; LR+ 3.11; LR– 0.25).Conclusion: PHAL and SII are effective, accessible, and low-cost biomarkers that can support ovarian cancer diagnosis through routine blood tests.PHAL dan SII: Biomarker Inovatif untuk Diagnosis Kanker Ovarium Subtipe Epitel dan Non-Epitel Abstrak Tujuan: Penelitian ini bertujuan untuk mengevaluasi nilai diagnostik dari PHAL (Platelet, Haemoglobin, Albumin, dan Limfosit), SII (Systemic Immune Inflammation Index), dan SIRI (Systemic Inflammatory Response Index) pada kanker ovarium epitelial dan non-epitelial. Metode: Penelitian dengan metode potong lintang ini melibatkan 156 pasien dengan massa ovarium. Data laboratorium pra-operatif digunakan untuk menghitung skor PHAL, SII, dan SIRI. Diagnosis ditegakkan melalui pemeriksaan histopatologi. Populasi I mencakup semua jenis kanker ovarium dan tumor jinak, sedangkan Populasi II hanya mencakup kanker ovarium non-epitelial dan tumor jinak. Analisis statistik dilakukan menggunakan SPSS 25.0, termasuk analisis kurva ROC dan uji validitas untuk menilai kinerja diagnostik. Hasil: Hasil penelitian menyimpulkan bahwa SII memiliki performa terbaik pada seluruh populasi (AUC 0,738; sensitivitas 71,25%; spesifisitas 72,37%; akurasi 71,79%; LR+ 2,58; LR– 0,40). Pada subkelompok kanker ovarium non-epitelial dibandingkan dengan tumor jinak, PHAL menunjukkan akurasi diagnostik tertinggi (AUC 0,819; sensitivitas 81,81%; spesifisitas 73,68%; akurasi 75,51%; LR+ 3,11; LR– 0,25). Kesimpulan: PHAL dan SII merupakan biomarker yang efektif, mudah diakses, dan berbiaya rendah yang dapat mendukung diagnosis kanker ovarium melalui pemeriksaan darah rutin. Kata kunci: Kanker ovarium, Skor PHAL (Platelet-Hemoglobin-Albumin-Limfosit), Systemic Immune-Inflammation Index, Systemic Inflammatory Response Index

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