METHOD OF DIAGNOSING STAGES I-II OF HIGH-GRADE SEROUS OVARIAN CANCER USING THE LIPID PROFILE OF BLOOD SERUM Russian patent published in 2023 - IPC G01N33/92 G01N33/49 G01N30/72 

Abstract RU 2807396 C1

FIELD: medicine; oncological gynecology.

SUBSTANCE: invention can be used for the diagnosis of high-grade serous ovarian cancer using the lipid profile of blood serum obtained by high-performance liquid chromatography with mass spectrometric detection. The first step is to calculate the response variable y based on lipids SM d16:1/14:0, PC 12:0_18:1, PC 18:2_20:3'1:

where is the area of peaks of lipid markers SM d16:1/14:0 on the chromatogram of a patient’s blood sample, a.u.; is the area of peaks of lipid markers PC 12:0_18:1 on the chromatogram of a patient’s blood sample, a.u.; is the area of peaks of lipid markers PC 18:2_20:3 on the chromatogram of a patient’s blood sample, a.u. At a value of 0.7≤ y' 1≤ 1 it is concluded that the patient belongs to the group of patients with ovarian cancer. If the value is 0 < y'1 < 0.7, the patient belongs to the control group. At the second step, based on the lipids PC P-16:0/18:1 and PC P-16:0/18:2, the response variable y is calculated'2:

where is the area of peaks of lipid markers PC P-16:0/18:1 on the chromatogram of a patient’s blood sample, a.u.; is the area of peaks of lipid markers PC P-16:0/18:2 on the chromatogram of a patient’s blood sample, a.u. At a value of 0.6≤ at'2 < 1 it is concluded that there is presence of serous ovarian cancer of stages III–IV. If the value is 0 < y'2 < 0.6, there is the presence of serous ovarian cancer of stages I–II.

EFFECT: method provides the ability to increase the diagnostic accuracy of detecting high-grade epithelial serous ovarian cancer in the early stages (stages I–II) by determining the lipid profile of blood serum using high-performance liquid chromatography with mass spectrometric detection, allowing the identification of possible marker molecules characteristic of pathological conditions in the early stages of the oncological process; sequential application of two models based on the method of logistic regression to calculate a response variable that allows identifying patients with early stages of serous ovarian cancer.

1 cl, 8 dwg, 4 ex

Similar patents RU2807396C1

Title Year Author Number
METHOD FOR ASSESSING PRIMARY RESPONSE TO COMBINED CHEMOTHERAPY OF SPORADIC OVARIAN CANCER OF STAGES III AND IV 2021
  • Ivanova Tatiana Ilinichna
  • Krikunova Liudmila Ivanovna
  • Sychenkova Nataliia Ivanovna
  • Khorokhorina Vera Alekseevna
  • Shinkarkina Anna Petrovna
  • Murzaeva Alena Valerevna
  • Ivanov Sergei Anatolevich
  • Shegai Petr Viktorovich
  • Kaprin Andrei Dmitrievich
RU2769543C2
METHOD FOR PREDICTION OF PROBABILITY OF POSSIBLE EXECUTION OF OPTIMUM CYTOREDUCTIVE OPERATION IN PATIENTS WITH DISSEMINATED FORMS OF OVARIAN CANCER 2017
  • Villert Alisa Borisovna
  • Kolomiets Larisa Aleksandrovna
  • Yunusova Natalya Valerevna
  • Spirina Lyudmila Viktorovna
  • Kondakova Irina Viktorovna
  • Cherdyntseva Nadezhda Viktorovna
  • Gerdt Lyubov Viktorovna
RU2637399C1
METHOD OF DIFFERENTIAL DIAGNOSTICS OF IRON DEFICIENCY IN PATIENTS WITH OVARIAN CANCER 2023
  • Ivanova Tatiana Ilinichna
  • Poluektova Marina Viktorovna
  • Sychenkova Nataliia Ivanovna
  • Khorokhorina Vera Alekseevna
  • Shinkarkina Anna Petrovna
  • Krikunova Liudmila Ivanovna
  • Shegai Petr Viktorovich
  • Ivanov Sergei Anatolevich
  • Kaprin Andrei Dmitrievich
RU2800104C2
METHOD FOR DETERMINING THE EFFECTIVENESS OF CHEMOTHERAPY WITH PLATINUM PREPARATIONS IN III-IV STAGE OVARIAN CANCER 2020
  • Frantsiyants Elena Mikhajlovna
  • Moiseenko Tatyana Ivanovna
  • Yakubova Darya Yurevna
  • Cheryarina Natalya Dmitrievna
  • Menshenina Anna Petrovna
  • Verenikina Ekaterina Vladimirovna
  • Adamyan Meri Lyudvikovna
  • Ishonina Oksana Georgievna
RU2738167C1
METHOD FOR DIFFERENTIAL DIAGNOSIS OF BENIGN AND MALIGNANT NEOPLASMS OF OVARIES 2018
  • Egunova Mariya Alekseevna
  • Kutsenko Irina Georgievna
  • Dmitrieva Alla Ivanovna
  • Zavyalova Marina Viktorovna
  • Pikalova Lidiya Valentinovna
  • Batalova Olga Viktorovna
RU2686180C1
METHOD FOR PREDICTION OF NEOADJUVANT CHEMOTHERAPY EFFECTIVENESS IN PATIENTS WITH DISSEMINATED FORMS OF OVARIAN CANCER 2017
  • Yunusova Natalya Valerevna
  • Villert Alisa Borisovna
  • Spirina Lyudmila Viktorovna
  • Kolomiets Larisa Aleksandrovna
  • Kondakova Irina Viktorovna
RU2637410C1
METHOD FOR PREDICTING RECURRENCE OF SEROUS OVARIAN CARCINOMA 2020
  • Kit Oleg Ivanovich
  • Verenikina Ekaterina Vladimirovna
  • Petrusenko Natalya Aleksandrovna
  • Gvaldin Dmitrij Yurevich
  • Kutilin Denis Sergeevich
  • Menshenina Anna Petrovna
  • Tsandekova Marietta Rafaelovna
  • Ardzha Anna Yurevna
RU2749361C1
REAGENT KIT FOR DETECTING A MARKER OF EPITHELIAL CARCINOMAS 2018
  • Cherkasova Zhanneta Rashidovna
  • Tsurkan Sergej Aleksandrovich
  • Kondratev Vyacheslav Borisovich
RU2735918C2
METHOD FOR PREDICTION OF OVARIAN CANCER PERITONEAL PROPAGATION 2019
  • Frantsiyants Elena Mikhajlovna
  • Moiseenko Tatyana Ivanovna
  • Verenikina Ekaterina Vladimirovna
  • Cheryarina Natalya Dmitrievna
  • Adamyan Meri Lyudvikovna
  • Yakubova Darya Yurevna
RU2722654C1
METHOD FOR DIFFERENTIAL DIAGNOSIS OF ASCITIC-INFILTRATIVE OVARIAN CANCER AND ABDOMINAL TUBERCULOSIS 2015
  • Moiseenko Tatyana Ivanovna
  • Frantsiyants Elena Mikhajlovna
  • Isakova Fatima Sulimbekovna
  • Cheryarina Natalya Dmitrievna
  • Ishonina Oksana Georgievna
RU2585959C1

RU 2 807 396 C1

Authors

Pavlovich Stanislav Vladislavovich

Yurova Mariya Vladimirovna

Chagovets Vitalij Viktorovich

Frankevich Vladimir Evgenevich

Starodubtseva Nataliya Leonidovna

Tokareva Alisa Olegovna

Khabas Grigorij Nikolaevich

Sukhikh Gennadij Tikhonovich

Dates

2023-11-14Published

2022-12-09Filed