METHOD FOR PREDICTION OF SURVIVAL RATE IN PATIENTS WITH LUNG ADENOCARCINOMA CARRYING A MUTATION IN THE KRAS GENE Russian patent published in 2019 - IPC G01N33/48 

Abstract RU 2702986 C1

FIELD: medicine.

SUBSTANCE: invention refers to medicine, namely to oncology, and enables predicting the survival rate of the patients with pulmonary adenocarcinoma. Method for prediction of survival rate in patients with lung adenocarcinoma carrying a mutation in the KRAS gene involves sampling tumor tissue fragments in a patient with pulmonary adenocarcinoma after surgical removal of tumor tissue, of which a portion is used to detect the presence of mutations in the KRAS gene, and a portion for RNA recovery, if mutations are detected in the KRAS gene from RNA samples, cDNA libraries are prepared for sequencing and sequenced, normalizing expression of constant immunoglobulin heavy chain constant gene genes is determined from the sequencing data IGHG1, IGHG2, IGHG3, IGHG4, IGHA1, IGHA2, calculating coefficient K by formula K=IGHG1/IGH, where IGH=IGHG1+IGHG2+IGHG3+IGHG4+IGHA1+IGHA2, and if K>0.14, the prediction is considered to be favorable, otherwise – not favorable.

EFFECT: what is presented is a method for prediction of survival rate in patients with lung adenocarcinoma carrying a mutation in the KRAS gene.

1 cl, 2 ex

Similar patents RU2702986C1

Title Year Author Number
METHOD OF DIFFERENTIAL DIAGNOSTICS OF TYPE OF STOMACH CANCER BY IMMUNOHISTOCHEMICAL TESTING METHOD 2023
  • Danilova Natalya Vladimirovna
  • Malkov Pavel Georgievich
  • Olejnikova Nina Aleksandrovna
RU2813670C1
TREATING PATIENTS DIAGNOSED WITH PANCREATIC DUCT ADENOCARCINOMA WITH USING EPIDERMAL GROWTH FACTOR (EGFR) RECEPTOR MONOCLONAL ANTIBODIES 2016
  • Shtrumberg, Dirk
  • Shultis, Beate
  • Ebert, Mattias, P.
  • Ziveke, Jens
  • Kerkkhoff, Andrea
  • Khofkhajnts, Ralf
  • Bekhringer, Dirk, M.
  • Shmidt, Volfgang, E.
  • Goker, Erdem
  • De Dosso, Sara
  • Kneba, Mikhael
  • Yaltsin, Suaib
  • Overkamp, Fridrikh
  • Shlegel, Frank
  • Dommakh, Markus
  • Rorberg, Robert
  • Shtejnmets, Tilman
  • Bakh, Ferdinand
  • Rojter, Dirk
  • Ilyas, Rikrik, Asiyakh
  • Isnaga Eskobar, Normando, E.
RU2728571C2
METHOD FOR MULTI ANALYSES OF RARE CELLS EXTRACTED OR ISOLATED FROM BIOLOGICAL SAMPLES BY FILTERING 2013
  • Lazhe Sofi
  • Paterlini-Bresho Patritsiya
  • Khofman Pol
  • Kapo Teri
RU2641595C2
METHOD FOR CONDUCTING MULTI-ASSAYS OF RARE CELLS EXTRACTED OR ISOLATED FROM BIOLOGICAL SAMPLES BY FILTRATION 2013
  • Lazhe Sofi
  • Paterlini-Bresho Patritsiya
  • Khofman Pol
  • Kapo Teri
RU2765808C2
METHOD FOR PREDICTION OF RISK OF HEMATOGENOUS METASTASES IN NON-SMALL-CELL LUNG CANCER PATIENTS AFTER OPERATION 2019
  • Kolegova Elena Sergeevna
  • Kakurina Gelena Valerevna
  • Kostromitskij Dmitrij Nikolaevich
  • Dobrodeev Aleksej Yurevich
  • Kondakova Irina Viktorovna
RU2733160C1
METHODS AND COMPOSITIONS FOR TUSC2-IMMUNOTHERAPY 2017
  • Roth, Jack, A.
  • Ji, Lin
RU2755903C2
METHOD OF CREATING TARGET PANEL FOR STUDYING GENOMIC REGIONS FOR DETECTING THERAPEUTIC BIOMARKERS OF IMMUNE CHECKPOINT (IC) INHIBITORS 2023
  • Yudin Sergej Mikhajlovich
  • Keskinov Anton Arturovich
  • Makarov Valentin Vladimirovich
  • Yudin Vladimir Sergeevich
  • Makarova Anna Sergeevna
  • Kotyurgin Aleksandr Pavlovich
  • Bugaev-Makarovskij Nikolaj Andreevich
  • Ershov Pavel Viktorovich
  • Snigir Ekaterina Andreevna
  • Makhotenko Antonida Viktorovna
  • Maralova Ekaterina Dmitrievna
  • Vanyushina Yuliya Nikolaevna
  • Kikot Aleksandra Denisovna
RU2818360C1
INDIVIDUALISED VACCINES FOR CANCER 2012
  • Sakhin Ugur
  • Krajter Sebastyan
  • Diken Mustafa
  • Dikmann Yan
  • Kozlovski Mikhael
  • Britten Tsedrik
  • Kestl Dzhon
  • Lever Martin
  • Renard Bernkhard
  • Omokoko Tana
  • De Graf Jokhannes Khendrikus
RU2670745C9
INDIVIDUALIZED ANTI-TUMOR VACCINES 2012
  • Sakhin Ugur
  • Krajter Sebastyan
  • Diken Mustafa
  • Dikmann Yan
  • Kozlovski Mikhael
  • Britten Tsedrik
  • Kestl Dzhon
  • Lever Martin
  • Renard Bernkhard
  • Omokoko Tana
  • De Graf Jokhannes Khendrikus
RU2779946C2
CALCULATION OF THE BURDEN OF TUMOUR MUTATIONS USING TUMOUR RNA SEQUENCING DATA AND CONTROLLED MACHINE LEARNING 2020
  • Buzdin Anton
  • Sorokin Maxim
  • Zotova Evgenia
  • Tkachev Victor
  • Garazha Andrew
RU2759205C1

RU 2 702 986 C1

Authors

Sharonov Georgij Vladimirovich

Isaeva Olga Igorevna

Yuzhakova Diana Vladimirovna

Karabut Mariya Mikhajlovna

Izosimova Anna Vyacheslavovna

Volchkova Liliya Nikolaevna

Zagajnova Elena Vadimovna

Chudakov Dmitrij Mikhajlovich

Dates

2019-10-15Published

2019-07-11Filed