Analysis of related factors of CRA in lung cancer patients with different serum iron levels: A retrospective cohort study.

BACKGROUND: Serum iron, an essential component of hemoglobin (Hb) synthesis in vivo, is a crucial parameter for evaluating the body's iron storage and metabolism capacity. Iron deficiency leads to reduced Hb synthesis in red blood cells and smaller red blood cell volume, ultimately resulting in iron-deficiency anemia. Although serum iron cannot independently evaluate iron storage or metabolism ability, it can reflect iron concentration in vivo and serve as a good predictor of iron-deficiency anemia. Therefore, exploring the influence of different serum iron levels on anemia and diagnosing and treating iron deficiency in the early stages is of great significance for patients with lung cancer. AIM: This study aims to explore the related factors of cancer-related anemia (CRA) in lung cancer and construct a nomogram prediction model to evaluate the risk of CRA in patients with different serum iron levels. METHODS: A single-center retrospective cohort study was conducted, including 1610 patients with lung cancer, of whom 1040 had CRA. The relationship between CRA and its influencing factors was analyzed using multiple linear regression models. Lung cancer patients were divided into two groups according to their serum iron levels: decreased serum iron and normal serum iron. Each group was randomly divided into a training cohort and a validation cohort at a ratio of 7:3. The influencing factors were screened by univariate and multivariate logistic regression analyses, and nomogram models were constructed. The area under the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the models. RESULTS: CRA in lung cancer is mainly related to surgery, chemotherapy, Karnofsky Performance Status (KPS) score, serum iron, C-reactive protein (CRP), albumin, and total cholesterol (p < 0.05). CRA in lung cancer patients with decreased serum iron is primarily associated with albumin, age, and cancer staging, while CRA in lung cancer patients with normal serum iron is mainly related to CRP, albumin, total cholesterol, and cancer staging. The area under the ROC curve of the training cohort and validation cohort for the prediction model of lung cancer patients with decreased serum iron was 0.758 and 0.760, respectively. Similarly, the area under the ROC curve of the training cohort and validation cohort for the prediction model of lung cancer patients with normal serum iron was 0.715 and 0.730, respectively. The calibration curves of both prediction models were around the ideal 45° line, suggesting good discrimination and calibration. DCA showed that the nomograms had good clinical utility. CONCLUSION: Both models have good reliability and validity and have significant clinical value. They can help doctors better assess the risk of developing CRA in lung cancer patients. CRP is a risk factor for CRA in lung cancer patients with normal serum iron but not in patients with decreased serum iron. Therefore, whether CRP and the inflammatory state represented by CRP will further aggravate the decrease in serum iron levels, thus contributing to anemia, warrants further study.

Research on Electroacupuncture Parameters for Cancer Pain Based on Data Mining.

BACKGROUND: Cancer pain, a common complication of this disease, has been widely treated by electroacupuncture in recent years. However, there are numerous treatment parameters that are not conducive to clinical translation applications. This study aims to summarize the stimulation parameters commonly used in electroacupuncture treating cancer pain by data mining and visualization techniques to provide a basis for the future acupuncture technology transformation and selection of optimal stimulation parameters. METHODS: Nine databases, including Pubmed, Cochrane Library, Embase, Web of Science, OVID, China National Knowledge Infrastructure Database, China Biology Medicine disk, China Science and Technology Journal Database, and Wanfang Database, were searched for clinical studies on electroacupuncture treatment cancer pain published between January 2012 and September 2022. A database was established using Microsoft Excel 2020 and analyzed with SPSS Modeler 18.1 software and SPSS statistics 26.0 software. RESULTS: Twenty-four articles were included according to the established criteria. The most used electroacupuncture stimulation parameters were a dilatational wave, the current frequency of 2/100 Hz, stimulation duration of 30 minutes per treatment, and frequency of treatment once a day. Fifty-eight acupoints were mentioned, and the total frequency of acupoints involved was 156 times. The most used ones include Zusanli (ST36), Sanyinjiao (SP06), Hegu (LI04), Neiguan (PC06), Quchi (LI11), Taichong (LR03), Ashi point, Jiaji point, and those most generally used acupoints that are closely arranged on the Stomach Channel of Foot Yangming and the Spleen Channel of Foot Taiyin. The association analysis of acupoints revealed that the most supported acupoint pair was Sanyinjiao (SP06) and Zusanli (ST36). Cluster analysis demonstrated 3 groups, 1 for obligatory acupoints, 1 for Ashi point, and the third for Jiaji point. CONCLUSIONS: A dilatational wave, the current frequency of 2/100 Hz, 30-minute stimulation, and acupoints of the Stomach Channel of Foot Yangming and the Spleen Channel of Foot Taiyin selection are frequently used in electroacupuncture for treating cancer pain. Due to the limitations of this study, further research and more standardized, multi-center, large-sample clinical trials can be carried out to guide optimizing acupuncture treatment schemes and promote the formation of TCM-characteristic technologies for cancer pain.

Exploring the Rules of Related Parameters in Transcutaneous Electrical Nerve Stimulation for Cancer Pain Based on Data Mining.

INTRODUCTION: This study aims to investigate the regularity of related parameters in the treatment of cancer pain using transcutaneous electrical nerve stimulation (TENS). METHODS: A comprehensive literature search was conducted in databases such as PubMed, Cochrane Library, Embase, Web of Science, OVID, CNKI, CBM, VIP, and WANNGFANG from inception up to December 2022. A database was established, and data mining techniques were applied to analyze the relevant TENS parameters. RESULTS: A total of 27 articles were included, encompassing nine current frequencies, four retention times, four treatment frequencies, and two wave types. On the basis of the analysis of parameter association rules, the most closely related parameter combination for clinical TENS in the treatment of cancer pain was a current frequency of 2/100 Hz, a treatment frequency of once a day, a retention time of 30 min, and the dilatational wave. Moreover, the study involved 22 acupuncture points distributed along 13 meridians. According to the analysis of acupuncture point association rules, Hegu (LI04), Zusanli (ST36), and Sanyinjiao (SP06) were the most closely related acupuncture points and could be used in combination for clinical TENS in cancer pain treatment. Furthermore, cluster analysis was conducted on acupuncture points with a frequency ≥ 5, resulting in three categories: the first category included Sanyinjiao (SP06), Zusanli (ST36), Hegu (LI04), Jiaji point, and Neiguan (PC06); the second category included Ashi point; and the third category included Back shu point. CONCLUSION: In the treatment of cancer pain using TENS, it is recommended to use a current frequency of 2/100 Hz, a treatment frequency of once a day, a retention time of 30 min, and the dilatational wave. The electrode positions were primarily selected from Ashi point, Back shu point, Sanyinjiao (SP06), Zusanli (ST36), Hegu (LI04), Jiaji point, and Neiguan (PC06) to achieve the best analgesic effect.

An In Vivo CRISPR Screen Identifies That SNRPC Promotes Triple-Negative Breast Cancer Progression.

Dysregulation of RNA-binding proteins (RBP) is one of the characteristics of cancer. Investigating the biological functions and molecular mechanisms of abnormal RBPs can help uncover new cancer biomarkers and treatment strategies. To identify oncogenic RBPs in triple-negative breast cancer (TNBC), we employed an in vivo CRISPR screen and a TNBC progression model, which revealed small nuclear ribonucleoprotein polypeptide C (SNRPC), a subunit of the U1 small nuclear ribonucleoprotein particle (U1 snRNP), as a key modulator of TNBC progression. SNRPC was frequently upregulated, which corresponded to poor prognosis in patients with TNBC. SNRPC ablation significantly impaired the proliferation, migration, and invasion of TNBC cells in vitro and in vivo. In addition, SNRPC was essential for the stability of U1 snRNP and contributed to the RNA Pol II-controlled transcriptional program. Knockdown of SNRPC decreased RNA Pol II enrichment on a subset of oncogenes (TNFAIP2, E2F2, and CDK4) and reduced their expression levels. Furthermore, SNRPC deletion was confirmed to inhibit TNBC progression partially through regulation of the TNFAIP2-Rac1-ß-catenin signaling pathway. Taken together, this data suggests that SNRPC plays an oncogenic role in TNBC, is a marker of poor prognosis, and may be a valuable therapeutic target for patients with intractable TNBC. SIGNIFICANCE: A functional CRISPR screen identifies SNRPC as an RNA-binding protein that promotes the aggressiveness of breast cancer by facilitating Pol II-controlled transcription of oncogenes.

[Blade acupuncture combined with functional exercise for chronic pain after non-small cell lung cancer surgery: a randomized controlled trial].

OBJECTIVE: To observe the clinical efficacy of blade acupuncture combined with functional exercise for chronic pain after non-small cell lung cancer surgery. METHODS: A total of 62 patients with chronic pain after surgery for non-small cell lung cancer were randomly divided into an observation group and a control group, 31 cases in each group. The patients in the control group were treated with functional exercise. On the base of the treatment in the control group, the patients in the observation group were treated with blade acupuncture at the tendon nodes or painful points, once a week for 4 weeks. The visual analogue scale (VAS) scores of pain before treatment and day 1, day 7, day 14, day 28 of treatment and day 90, day 180 when follow up were compared between the two groups; the brief pain inventory (BPI) scores before and after treatment were compared between the two groups. RESULTS: The VAS score in the observation group at each time point after treatment was lower than that before treatment (P<0.01), and lower than that in the control group (P<0.01). Compared before treatment, the daily life score, emotion score, walking ability score, sleep score and life enjoyment score and total score of BPI in the observation group were reduced after treatment (P<0.05), and the daily life score, emotion score, sleep score and total score of BPI in the observation group were lower than those in the control group (P<0.05). CONCLUSION: The blade acupuncture combined with functional exercise could effectively alleviate the chronic pain after non-small cell lung cancer surgery, improve the quality of life of patients, and the effect is lasting and stable.

DOM derivations determine the distribution and bioavailability of DOM-Se in selenate applied soil and mechanisms.

Straw amendment and plant root exudates modify the quality and quantities of soil dissolved organic matter (DOM) and then manipulate the fractions of soil selenium (Se) and its bioavailability. Two typical soils with distinct pH were selected to investigate the effect of different contributors on DOM-Se in soil. The mechanisms relying on the variation in DOM characteristics (quality, quantity and composition) were explored by UV-Vis, ATR-FTIR and 3D-EEM. Straw amendment significantly (p < 0.05) suppressed the selenate bioavailability. The reduction in wheat Se content was greater in krasnozems than in Lou soil, as more HA fraction appeared in krasnozems. The root exudates of wheat mainly elevated the low molecular hydrophilic compounds (Hy) in soil, which contributed to the SOL-Hy-Se fractions and thus grain Se in soils (p < 0.01). However, straw amendment promoted DOM transforming from small molecules (Hy and FA) to aromatic large molecules (HA), when accompanied with the reduction and retention of Se associated with these molecules. As a result, selenium bioavailability and toxicity reduced with DOM amendment and DOM-Se transformation.