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Персонализированный подход к послеоперационной химиотерапии в комбинированном лечении немелкоклеточного рака легкого (клиническое наблюдение)

Персонализированный подход к послеоперационной химиотерапии в комбинированном лечении немелкоклеточного рака легкого (клиническое наблюдение)

Abstract

Представлено клиническое наблюдение комбинированного лечения немелкоклеточного рака легкого с назначением персонализированной адъювантной химиотерапии. В качестве предиктивных маркеров используется уровень экспрессии в опухолевой ткани легкого генов монорезистентности АВСС5, RRM1, ERCC1, TOP1, TOP2a, TUBB3 и TYMS после предоперационной химиотерапии. Данный случай свидетельствует о целесообразности оценки экспрессии генов монорезистентности до и после проведения предоперационной химиотерапии и имеет важное значение с точки зрения определения индивидуальной чувствительности опухоли к отдельным химиопрепаратам, что дает возможность планировать лечение конкретного больного.

We present a clinical case of non-small cell lung cancer treated with personalized adjuvant chemotherapy. The expression levels of drug resistance genes, such as ABCC5, RRM1, ERCC1, TOP1, TOP2a, TUBB3 and TYMS in tumor tissue from non-small cell lung cancer were used as predictive markers. This case shows the usefulness of determination of the expression of drug resistance genes before and after preoperative chemotherapy, and it is important in terms of determining the individual sensitivity of the tumor to chemotherapy drugs, thus allowing the treatment plan for the individual patient to be tailored.

Keywords

КОМБИНИРОВАННОЕ ЛЕЧЕНИЕ,РАК ЛЕГКОГО,ПЕРСОНАЛИЗИРОВАННОЕ ЛЕЧЕНИЕ,ГЕНЫ МОНОРЕЗИСТЕНТНОСТИ,АДЪЮВАНТНАЯ ХИМИОТЕРАПИЯ,COMBINATION THERAPY,LUNG CANCER,AN INDIVIDUAL APPROACH,DRUG RESISTANCE GENES,ADJUVANT CHEMOTHERAPY

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold
Related to Research communities
Cancer Research