Saikosaponin-d (SSd), a monomer terpenoid purified from the Chinese herbal drug Radix bupleuri, has multiple effects, including anticancer properties. However, the effect of SSd on tumors exposed to radiation is largely unknown. To investigate the radiosensitizing effect of SSd and its possible mechanism, we combined SSd with radiation therapy to treat SMMC-7721 hepatocellular carcinoma cells under oxia and hypoxia.

Radiation-induced skin injury is a common complication of radiotherapy. The RHIZOMA COPTIDIS and COPTIS CHINENSIS aqueous extract (RCE) can ameliorate radiation-induced skin injury in our clinical observation. But, the protective mechanism of RHIZOMA COPTIDIS and COPTIS CHINENSIS in radiation-induced skin injury remains unclear. In this experiment, we developed a radiation-induced skin injury rat model to study the mechanism. The animals were randomly divided into control group, treatment group, radiation group, and treatment and radiation group. 5 rats in each group were separately executed on 2 d and 49 d post-radiation. The semi-quantitative skin injury score was used to measure skin reactions by unblinded observers, and hematoxylin and eosin staining was used to evaluate the damage areas by irradiation. The MDA content, SOD activity of skin and serum were measured to detect the oxidative stress. Acute skin reactions were caused by a single dose of 45 Gy of β-ray irradiation, and the skin injury could be found in all rats receiving irradiation based on the observation of HE staining of skin at different time-points, while RCE could significantly ameliorate those changes. The MDA content in serum and skin of control rats was 4.13 ± 0.12 mmol/ml and 4.95 ± 0.35 mmol/mgprot on 2 d post-radiation. The rats receiving radiation showed an increased content of MDA (5.54 ± 0.21 mmol/ml and 7.10 ± 0.32 mmol/mgprot), while it was 4.57 ± 0.21 mmol/ml and 5.95 ± 0.24 mmol/mgprot after treated with RCE (p < 0.05). Similar changes of the MDA content could be seen on 49 d post-radiation. However, the SOD activity of rats receiving radiation decreased compared with control group on both time-points, which was inhibited by RCE (p < 0.05). Meanwhile, no valuable changes could be found between control group and treatment group on 2 d and 49 d. Our study provides evidences for the radioprotective role of RCE against radiation-induced skin damage in rats by modulating oxidative stress in skin, which may be a useful therapy for radiation-induced skin injury.

Previous studies have found that neutrophil extracellular traps (NETs) are highly expressed in colorectal cancer (CRC) and are associated with poor prognosis. Currently, there are few studies on the relationship between NETs and CRC, so we tried to explore new markers based on NETs to assist in the treatment of CRC. We jointly screened three major NETs genes through machine learning. Large-sample RNA transcriptome and single-cell transcriptome analysis further confirmed that TIMP1 is a core gene in NETs. We used small interfering RNA to knockdown TIMP1, and verified the ability of TIMP1 in CRC proliferation, invasion and migration through western blot, transwell, cell scratch assay, cell clone formation and other experiments. We screened out three major NETs Genes: TIMP1, F3, and CRISPLD2 based on machine learning. The NETs score constructed based on this not only predicts the prognosis of CRC patients but also shows significant differences in MSI status, chenckpoints expression, and predicted efficacy of PD-L1 targeted therapy. Transcriptome and single-cell data reveal that TIMP1 is highly expressed in neutrophils and is associated with poor prognosis in colorectal cancer patients and the occurrence of ferroptosis. Biological experiments have proven that TIMP1 can promote the proliferation, invasion and migration of CRC. Bioinformatics analysis combined with experimental verification showed that TIMP1 is related to ferroptosis and plays a promoting role in the invasion, migration and proliferation of CRC.

The growing advances in spatial transcriptomics (ST) stand as the new frontier bringing unprecedented influences in the realm of translational oncology. This has triggered systemic experimental design, analytical scope, and depth alongside with thorough bioinformatics approaches being constantly developed in the last few years. However, harnessing the power of spatial biology and streamlining an array of ST tools to achieve designated research goals are fundamental and require real‐world experiences. We present a systemic review by updating the technical scope of ST across different principal basis in a timeline manner hinting on the generally adopted ST techniques used within the community. We also review the current progress of bioinformatic tools and propose in a pipelined workflow with a toolbox available for ST data exploration. With particular interests in tumor microenvironment where ST is being broadly utilized, we summarize the up‐to‐date progress made via ST‐based technologies by narrating studies categorized into either mechanistic elucidation or biomarker profiling (translational oncology) across multiple cancer types and their ways of deploying the research through ST. This updated review offers as a guidance with forward‐looking viewpoints endorsed by many high‐resolution ST tools being utilized to disentangle biological questions that may lead to clinical significance in the future.