Lipid metabolic reprogramming in tumor microenvironment: from mechanisms to therapeutics.

Lipid metabolic reprogramming is an emerging hallmark of cancer. In order to sustain uncontrolled proliferation and survive in unfavorable environments that lack oxygen and nutrients, tumor cells undergo metabolic transformations to exploit various ways of acquiring lipid and increasing lipid oxidation. In addition, stromal cells and immune cells in the tumor microenvironment also undergo lipid metabolic reprogramming, which further affects tumor functional phenotypes and immune responses. Given that lipid metabolism plays a critical role in supporting cancer progression and remodeling the tumor microenvironment, targeting the lipid metabolism pathway could provide a novel approach to cancer treatment. This review seeks to: (1) clarify the overall landscape and mechanisms of lipid metabolic reprogramming in cancer, (2) summarize the lipid metabolic landscapes within stromal cells and immune cells in the tumor microenvironment, and clarify their roles in tumor progression, and (3) summarize potential therapeutic targets for lipid metabolism, and highlight the potential for combining such approaches with other anti-tumor therapies to provide new therapeutic opportunities for cancer patients.

Relationship between the intima-media thickness of carotid artery and the accumulated radiation dose and its threshold value in intervention workers / 中国职业医学

OBJECTIVE: To analyze the relationship of the intima-media thickness( IMT) of carotid artery and accumulated radiation dose in intervention workers,and to evaluate the threshold dose leading to the abnormal IMT. METHODS: By cluster random sampling,155 intervention workers were selected as intervention group and 620 workers from the radiology departments were selected as control group. All workers came from 27 hospitals in Shandong Province. The workers in these two groups were given radiological occupational health check-up. Their accumulated dose of radiation was collected and IMT was measured by ultrasound. Multiple linear regression analysis was used to analyze the dose-effect between the IMT and the accumulated dose. RESULTS: In the intervention group,IMT was( 0. 70 ± 0. 11) mm,the abnormal rate of IMT was 4. 5%( 7 /155). The IMT in the control group was( 0. 68 ± 0. 09) mm,and the abnormal rate of IMT was 3. 9%( 24 /620). The abnormal rate of IMT between the two groups had no statistical significance( P > 0. 05). The multiple linear regression equation was y = 0. 007 x_1+ 0. 001 x_2- 0. 098 x3+ 0. 223( y means IMT,mm; x_1 means age,x_2 means accumulated radiation dose,mSv; x3 means gender),and the threshold doses deduced in all ages corresponding to 1 mm of IMT showed that the threshold dose was higher with younger age,and the larger accumulated radiation dose was needed to cause the IMT abnormity in the female than in the male workers. CONCLUSION: The IMT is positively correlated with the accumulated radiation dose in radiation workers,and the threshold dose of abnormal IMT could be estimated by the linear regression equation.

Effect of 0.1 Gy X-ray irradiation on gene expression profiles in normal human lymphoblastoid cells / 中华劳动卫生职业病杂志

<p><b>OBJECTIVE</b>To investigate the effect of 0.1 Gy X-ray irradiation on the gene expression profiles in normal human lymphoblastoid cells using gene microarray and to explore the possible mechanism of the biological effect of low-dose irradiation.</p><p><b>METHODS</b>The NimbleGen 12×135 K microarray corresponding to 45033 genes was used to analyze the gene expression profiles in AHH-1 cells cultured for 6 h and 20 h after 0.1 Gy X-ray irradiation. A gene was identified as the differentially expressed gene if the ratio between its expression levels in irradiation group and control group was higher than 2 or lower than 0.5. RT-PCR and real-time PCR were used to confirm some differentially expressed genes.</p><p><b>RESULTS</b>There were 760 up-regulated genes and 1222 down-regulated genes in the cells at 6 h after 0.1 Gy X-ray irradiation, while there were 463 up-regulated genes and 753 down-regulated genes at 20 h after 0.1 Gy X-ray irradiation; there were 92 differentially expressed genes in common. The expression of GADD45A, CDKN2A, and Cx43 measured using gene microarray was confirmed by RT-PCR and real-time PCR.</p><p><b>CONCLUSION</b>Low-dose irradiation can affect the expression of many functional genes, which provides a basis for the research on the mechanism of radiation damage.</p>