Lipid composition of the cancer cell membrane

Journal of Bioenergetics and Biomembranes, Journal Year: 2020, Volume and Issue: 52(5), P. 321 - 342

Published: July 26, 2020

Abstract Cancer cell possesses numerous adaptations to resist the immune system response and chemotherapy. One of most significant properties neoplastic cells is altered lipid metabolism, consequently, abnormal membrane composition. Like in case phosphatidylcholine, these changes result modulation certain enzymes accumulation energetic material, which could be used for a higher proliferation rate. The are so prominent, that some lipids, such as phosphatidylserines, even considered cancer biomarkers. Additionally, biophysical membranes lead resistance chemotherapy, finally disturbances signalling pathways. Namely, increased levels like instance phosphatidylserine, attenuation response. Also, saturation prevent from demanding conditions microenvironment. Particularly interesting significance cholesterol content metastasis. This review paper discusses roles each type physiology. combined theoretical data with clinical studies show novel therapeutic options concerning oncology.

Language: Английский

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Sexual Dimorphism in Colon Cancer

Frontiers in Oncology, Journal Year: 2020, Volume and Issue: 10

Published: Dec. 9, 2020

A higher incidence of colorectal cancer (CRC) is found in males compared to females. Young women (18-44 years) with CRC have a better survival outcome men the same age or older (over 50 years), indicating global sexual dimorphism rates and survival. This suggests protective role for sex steroid hormone estrogen development. Key proliferative pathways tumorigenesis exhibit dimorphism, which confer females through regulated genes cell signaling. Estrogen regulates activity class Kv channels (KCNQ1:KCNE3), control fundamental ion transport functions colon epithelial mesenchymal transition bi-directional interactions Wnt/β-catenin signalling pathway. also modulates responses hypoxia

Language: Английский

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Fecal Metabolomic Signatures in Colorectal Adenoma Patients Are Associated with Gut Microbiota and Early Events of Colorectal Cancer Pathogenesis

mBio, Journal Year: 2020, Volume and Issue: 11(1)

Published: Feb. 17, 2020

Colorectal adenomas are precursors of CRC. Recently, the gut microbiota, i.e., collection microbes residing in our gut, has been recognized as a key player CRC development. There have number microbiota profiling studies for colorectal adenoma and CRC; however, fewer considered metabolome, which serves chemical interface between host microbiota. Here, we conducted metabolome study analyzed metabolomic profiles together with paired composition profiles. We found several signatures that were associated some potentially indicative future This highlights potential early-driver metabolites pathogenesis guides further targeted experiments thus provides an important stepping stone toward developing better prevention strategies.

Language: Английский

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The Colorectal Cancer Lipidome: Identification of a Robust Tumor-Specific Lipid Species Signature

Gastroenterology, Journal Year: 2021, Volume and Issue: 161(3), P. 910 - 923.e19

Published: May 15, 2021

Language: Английский

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Metabolic Reprogramming of Colorectal Cancer Cells and the Microenvironment: Implication for Therapy

International Journal of Molecular Sciences, Journal Year: 2021, Volume and Issue: 22(12), P. 6262 - 6262

Published: June 10, 2021

Colorectal carcinoma (CRC) is one of the most frequently diagnosed carcinomas and leading causes cancer-related death worldwide. Metabolic reprogramming, a hallmark cancer, closely related to initiation progression carcinomas, including CRC. Accumulating evidence shows that activation oncogenic pathways loss tumor suppressor genes regulate metabolic reprogramming mainly involved in glycolysis, glutaminolysis, one-carbon metabolism lipid metabolism. The abnormal program provides cells with abundant energy, nutrients redox requirements support their malignant growth metastasis, which accompanied by impaired flexibility microenvironment (TME) dysbiosis gut microbiota. crosstalk between cells, components TME intestinal microbiota further facilitates CRC cell proliferation, invasion metastasis leads therapy resistance. Hence, target dysregulated metabolism, microbiota, novel preventive therapeutic applications are required. In this review, dysregulation programs, molecular pathways, addressed. Possible strategies, inhibition immune CRC, as well modulation aberrant discussed.

Language: Английский

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Biomarkers in Colorectal Cancer: The Role of Translational Proteomics Research

Frontiers in Oncology, Journal Year: 2019, Volume and Issue: 9

Published: Nov. 27, 2019

Colorectal cancer is one of the most common cancers in world, and it leading causes cancer-related death. Despite recent progress screening programmes management patients with colorectal cancer, there are still many gaps to fill establish a personalized approach, ranging from prevention early diagnosis determination prognosis factors treatment metastatic disease. The genetic profile approach has been increasingly used decision-making process, especially choice targeted therapies prediction drug response, but few validated biomarkers for clinical practice. discovery noninvasive, sensitive specific an urgent need, translational proteomics plays key role this as enables better comprehension carcinogenesis, identification potential markers subsequent validation. This review provides overview advances search through studies, according biomarker function application.

Language: Английский

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Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer

The Journal of Pathology, Journal Year: 2021, Volume and Issue: 256(3), P. 269 - 281

Published: Nov. 5, 2021

Abstract The spread of early‐stage (T1 and T2) adenocarcinomas to locoregional lymph nodes is a key event in disease progression colorectal cancer (CRC). cellular mechanisms behind this are not completely understood existing predictive biomarkers imperfect. Here, we used an end‐to‐end deep learning algorithm identify risk factors for node metastasis (LNM) status digitized histopathology slides the primary CRC its surrounding tissue. In two large population‐based cohorts, show that system can predict presence more than one LNM pT2 patients with area under receiver operating curve (AUROC) 0.733 (0.67–0.758) any AUROC 0.711 (0.597–0.797). Similarly, pT1 patients, or was predictable (0.644–0.778) 0.567 (0.542–0.597), respectively. Based on these findings, guide human pathology experts towards highly regions whole slide images. This hybrid observer approach identified inflamed adipose tissue as highest feature presence. Our study first proof concept artificial intelligence (AI) systems may be able discover potentially new biological progression. publicly available biomarker discovery setting. © 2021 Pathological Society Great Britain Ireland. Published by John Wiley & Sons, Ltd.

Language: Английский

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Bilayer Forming Phospholipids as Targets for Cancer Therapy

International Journal of Molecular Sciences, Journal Year: 2022, Volume and Issue: 23(9), P. 5266 - 5266

Published: May 9, 2022

Phospholipids represent a crucial component for the structure of cell membranes. Phosphatidylcholine and phosphatidylethanolamine are two phospholipids that comprise majority De novo biosynthesis phosphatidylcholine occurs via Kennedy pathway, perturbations in regulation this pathway linked to variety human diseases, including cancer. Altered membrane content, phospholipid metabolite levels, fatty acid profiles frequently identified as hallmarks cancer development progression. This review summarizes research on how metabolism changes over oncogenic transformation, profiling can differentiate between healthy tissues, with focus colorectal cancer, breast non-small lung The potential serve biomarkers diagnostics, or anticancer therapy targets, is also discussed.

Language: Английский

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Colorectal Cancer in Younger Adults

Hematology/Oncology Clinics of North America, Journal Year: 2022, Volume and Issue: 36(3), P. 449 - 470

Published: May 13, 2022

Language: Английский

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Lipid network and moiety analysis for revealing enzymatic dysregulation and mechanistic alterations from lipidomics data

Briefings in Bioinformatics, Journal Year: 2023, Volume and Issue: 24(1)

Published: Jan. 1, 2023

Lipidomics is of growing importance for clinical and biomedical research due to many associations between lipid metabolism diseases. The discovery these facilitated by improved identification quantification. Sophisticated computational methods are advantageous interpreting such large-scale data understanding metabolic processes their underlying (patho)mechanisms. To generate hypothesis about mechanisms, the combination networks graph algorithms a powerful option pinpoint molecular disease drivers interactions. Here we present network explorer (LINEX$^2$), analysis framework that fuels biological interpretation alterations in compositions. By integrating lipid-metabolic reactions from public databases, dataset-specific interaction networks. aid networks, an enrichment algorithm infers changes enzymatic activity context multispecificity lipidomics data. Our inference method successfully recovered MBOAT7 enzyme knock-out Furthermore, mechanistically interpret lipidomic adipocytes obesity leveraging moieties. We address general lack mining options elucidate potential mechanisms make more clinically relevant.

Language: Английский

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