Select dataverse where you want to add dataset. It can be done in two ways:
Share this dataset on your favorite social media networks.
Pakiet, Alicja, 2023, "Alterations of fatty acid profiles of different lipid classes in breast cancer - evaluation of their role and diagnostic significance", https://doi.org/10.18150/MHI1FZ, RepOD, V1
Learn about Data Citation Standards.
This collection contains the results of studies conducted during realization of the project titled "Alterations of fatty acid profiles of different lipid classes in breast cancer - evaluation of their role and diagnostic significance".
Deposited are:
Background and objectives of the study
Breast cancer remains a serious health issue globally. Research over the last few decades highlighted the role of lipids in cancer development and progression, as their metabolism is overhauled to satisfy biosynthetic and bioenergetic needs of cancer cells. Fatty acids (FAs) play a central role in lipid metabolism, as the main structural component of most lipid classes. The composition of FAs has multifaceted effects of cell metabolism, they influence membrane properties, affecting the cell-cell metabolism and cell resistance to stress, or rates of energy production via β-oxidation. Enzymes associated with FAs metabolism have been previously shown to be associated with breast cancer course. Our preliminary study of total lipid extracts of breast cancer patients tissues confirmed that cancer tissues have a higher amount of polyunsaturated FAs (present mainly in membrane lipids) and lowered monounsaturated FAs, which are the main component of triacylglycerols, used for energy storage and production. In serum we found the opposite trends. Still, not enough is known about FAs in specific lipid classes (e.g. sphingolipids, ceramides, neutral lipids). All of these classes have important functions in the organism; hence, their FA composition is significant to their function. The main goal of the proposed project was comprehensive profiling of serum and tissues of breast cancer patients, allowing to gain insight into FA composition of different lipid classes. This analysis included profiling of previously unreported or underreported FA groups such as very long-chained FAs, which have potential diagnostic value, or branched-chain and odd-chain FAs, which are reported to have antitumor properties. Also, factors that can correlate with or affect the FA profiles, such as inflammation or oxidative stress were considered.
fatty acids, breast cancer, GC-MS, lipids
CC BY - Creative Commons Attribution 4.0
Please select a file or files to be deleted.
The file(s) will be deleted after you click on the Delete button.
Files will not be removed from previously published versions of the dataset.
Please select a file or files to be edited.
For selected file(s) set a license to
Please select a file or files to be downloaded.
Please select a file or files for access request.
Please select restricted file(s) to be unrestricted.
You need to Sign Up or Log In to request access to this file.
Please confirm and/or complete the information needed below in order to continue.
Asterisks indicate required fields
Access to file(s) subject to additional consent under following conditions:
The restricted file(s) selected may not be downloaded because you have not been granted access.
Click Continue to download the files you have access to download.
Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.
Are you sure you want to lift the embargo?
Once you lift the embargo, you will not be able to set it again.
Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.
Use a Private URL to allow those without Dataverse accounts to access your dataset. For more information about the Private URL feature, please refer to the User Guide.
Private URL has not been created.
Are you sure you want to disable the Private URL? If you have shared the Private URL with others they will no longer be able to use it to access your dataset.
You will not be able to make changes to this dataset while it is in review.
This dataset cannot be published until RepOD is published. Would you like to publish both right now?
Once you publish this dataset it must remain published.
Are you sure you want to republish this dataset?
Select if this is a minor or major version update.
This dataset cannot be published until RepOD is published by its administrator.
This dataset cannot be published until RepOD and are published.
Are you sure you want to deaccession? The selected version(s) will no longer be viewable by the public.
RepOD Support
Please fill this out to prove you are not a robot.