Novel Plasma Proteomic Biomarkers for Early Identification of Induction Chemotherapy Beneficiaries in Locoregionally Advanced Nasopharyngeal Carcinoma.

Background: Induction chemotherapy (IC) can alleviate locoregionally advanced nasopharyngeal carcinoma (LA-NPC), but effectiveness differs between patients, toxicity is problematic, and effective blood-based IC efficacy predictors are lacking. Here, we aimed to identify biomarkers for early identification of IC beneficiaries. Methods: Sixty-four pairs of matched plasma samples collected before and after IC from LA-NPC patients including 34 responders and 30 non-responders, as well as 50 plasma samples of healthy individuals, were tested using data-independent acquisition mass spectrometry. The proteins associated with clinical traits or IC benefits were investigated by weighted gene co-expression network analysis (WGCNA) and soft cluster analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functional annotations were performed to determine the potential function of the identified proteins. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of candidate biomarkers in predicting IC beneficiaries. Results: Compared with healthy individuals, 1027 differentially expressed proteins (DEPs) were found in the plasma of LA-NPC patients. Based on feedback from IC outcomes, 463 DEPs were identified in the pre-IC plasma between responders and non-responders. A total of 1212 DEPs represented the proteomic changes before and after IC in responders, while 276 DEPs were identified in post-IC plasma between responders and non-responders. WGCNA identified nine protein co-expression modules correlated with clinical traits. Soft cluster analysis identified four IC benefits-related protein clusters. Functional enrichment analysis showed that these proteins may play a role in IC via immunity, complement, coagulation, glycosaminoglycan and serine. Four proteins differentially expressed in all group comparisons, paraoxonase/arylesterase 1 (PON1), insulin-like growth factor-binding protein 3 (IGFBP-3), rheumatoid factor D5 light chain (v-kappa-3) and RNA helicase (DDX55), were associated with clinical traits or IC benefits. A four-protein model accurately identified potential IC beneficiaries (AUC=0.95) while diagnosing LA-NPC (AUC=0.92), and the prediction performance was verified using the models to confirm the effective IC (AUC=0.97) and evaluate IC outcome (AUC=0.94). Conclusion: The plasma protein profiles among IC responders and non-responders were different. PON1, IGFBP3, v-kappa-3 and DDX55 could serve as potential biomarkers for early identification of IC beneficiaries for individualised treatment of LA-NPC.

Plasma Quantitative Lipid Profiles: Identification of CarnitineC18:1-OH, CarnitineC18:2-OH and FFA (20:1) as Novel Biomarkers for Pre-warning and Prognosis in Acute Myocardial Infarction.

This study was aimed to determine the association between potential plasma lipid biomarkers and early screening and prognosis of Acute myocardial infarction (AMI). In the present study, a total of 795 differentially expressed lipid metabolites were detected based on ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). Out of these metabolites, 25 lipid metabolites were identified which showed specifical expression in the AMI group compared with the healthy control (HC) group and unstable angina (UA) group. Then, we applied the least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE) methods to obtain three lipid molecules, including CarnitineC18:1-OH, CarnitineC18:2-OH and FFA (20:1). The three lipid metabolites and the diagnostic model exhibited well predictive ability in discriminating between AMI patients and UA patients in both the discovery and validation sets with an area under the curve (AUC) of 0.9. Univariate and multivariate logistic regression analyses indicated that the three lipid metabolites may serve as potential biomarkers for diagnosing AMI. A subsequent 1-year follow-up analysis indicated that the three lipid biomarkers also had prominent performance in predicting re-admission of patients with AMI due to cardiovascular events. In summary, we used quantitative lipid technology to delineate the characteristics of lipid metabolism in patients with AMI, and identified potential early diagnosis biomarkers of AMI via machine learning approach.

Management of granulomatous lobular mastitis: an international multidisciplinary consensus (2021 edition).

Granulomatous lobular mastitis (GLM) is a rare and chronic benign inflammatory disease of the breast. Difficulties exist in the management of GLM for many front-line surgeons and medical specialists who care for patients with inflammatory disorders of the breast. This consensus is summarized to establish evidence-based recommendations for the management of GLM. Literature was reviewed using PubMed from January 1, 1971 to July 31, 2020. Sixty-six international experienced multidisciplinary experts from 11 countries or regions were invited to review the evidence. Levels of evidence were determined using the American College of Physicians grading system, and recommendations were discussed until consensus. Experts discussed and concluded 30 recommendations on historical definitions, etiology and predisposing factors, diagnosis criteria, treatment, clinical stages, relapse and recurrence of GLM. GLM was recommended as a widely accepted definition. In addition, this consensus introduced a new clinical stages and management algorithm for GLM to provide individual treatment strategies. In conclusion, diagnosis of GLM depends on a combination of history, clinical manifestations, imaging examinations, laboratory examinations and pathology. The approach to treatment of GLM should be applied according to the different clinical stage of GLM. This evidence-based consensus would be valuable to assist front-line surgeons and medical specialists in the optimal management of GLM.

A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma.

BACKGROUND/PURPOSE: Nasopharyngeal carcinoma (NPC) is a malignant neoplasm of the head and neck. This study aims to use integrated bioinformatics technologies to develop a predictive miRNA-signature correlated with the prognosis of NPC. MATERIALS AND METHODS: Initially, the differentially expressed miRNAs (DEMs) in NPC were identified, and then DEMs related to the prognosis of NPC were further screened. Subsequently, the relatively important DEMs identified by random forest algorithm were used to construct a predictive signature by multivariate COX regression analysis. Moreover, PCA, Kaplan-Meier analysis, time-dependent ROC analysis, and univariate and multivariate COX regression analysis were performed to evaluate the ability of the signature in risk identification and prognosis prediction in NPC. RESULTS: Hsa-miR-29c, hsa-miR-30e and hsa-miR-93 were selected from DEMs to construct a signature, and their abnormal expression was significantly associated with poor prognosis of NPC. The average AUC values of 1- to 5-year OS, DFS and DMFS predicted by the signature were all above 0.7, and showed better clinical independence than other indexes. In addition, 295 differentially expressed mRNAs could be used as potential target genes of the 3 DEMs. Among them, 56 differentially expressed mRNAs were related to PFS. GO and KEGG enrichment analysis indicated that the poor prognosis of NPC was related to the abnormality of chromosomes, cytokines, and chemokines. CONCLUSION: We constructed a three-miRNA signature with good independent performance in predicting the prognosis for NPC. This study may lay the foundation for exploring new therapeutic targets and improving survival outcomes in NPC patients.

Research status and prospects of acupuncture for prevention and treatment of chemo- and radiotherapy-induced salivary gland dysfunction in head and neck cancer.

Salivary gland dysfunction (SGD) induced by chemo- and radiotherapy for head and neck cancer (HNC) has always been a difficult problem in modern medicine. The quality of life of a large number of HNC patients is severely impaired by SGD such as xerostomia and dysphagia. In recent years, several studies have found that acupuncture can improve patients' salivary secretion, but it has not yet been approved as an alternative therapy for SGD. For this reason, we collected the clinical study reports on acupuncture in the treatment of SGD induced by chemo- and radiotherapy in HNC patients in the past 20 years, and analyzed and discussed the advantages and disadvantages of these studies with respect to tumor types, group setting, intervention modality, acupoints selection, outcome evaluation, and safety. We believed that acupuncture is beneficial for SGD, but the existing objective evidence is insufficient to support its effectiveness. Therefore, improving the Standards for Reporting Interventions in Clinical Trials of Acupuncture, selecting the optimal combination of acupoints through scientific and rigorous study design, and exploring the potential mechanism of acupuncture in the treatment of diseases combined with the meridian theory may be effective ways to promote the acceptance of acupuncture as an alternative therapy for SGD in future. The significance of this review is to provide a reference for researchers to carry out high-quality clinical trials of acupuncture in the treatment of SGD in future from the perspective of the combination of modern medicine and traditional Chinese medicine.

Artificial Intelligence Approach To Investigate the Longevity Drug.

Longevity is a very important and interesting topic, and Klotho has been demonstrated to be related to longevity. We combined network pharmacology, machine learning, deep learning, and molecular dynamics (MD) simulation to investigate potent lead drugs. Related protein insulin-like growth factor 1 receptor (IGF1R) and insulin receptor (IR) were docked with the traditional Chinese medicine (TCM) database to screen out several novel candidates. Besides, nine different machine learning algorithms were performed to build reliable and accurate predicted models. Moreover, we used the novel deep learning algorithm to build predicted models. All of these models obtained significant R2, which are all greater than 0.87 on the training set and higher than 0.88 for the test set, respectively. The long time 500 ns molecular dynamics simulation was also performed to verify protein-ligand properties and stability. Finally, we obtained Antifebrile Dichroa, Holarrhena antidysenterica, and Gelsemium sempervirens, which might be potent TCMs for two targets.

Artificial Intelligence Approach to Find Lead Compounds for Treating Tumors.

It has been demonstrated that MMP13 enzyme is related to most cancer cell tumors. The world's largest traditional Chinese medicine database was applied to screen for structure-based drug design and ligand-based drug design. To predict drug activity, machine learning models (Random Forest (RF), AdaBoost Regressor (ABR), Gradient Boosting Regressor (GBR)), and Deep Learning models were utilized to validate the Docking results, and we obtained an R2 of 0.922 on the training set and 0.804 on the test set in the RF algorithm. For the Deep Learning algorithm, R2 of the training set is 0.90, and R2 of the test set is 0.810. However, these TCM compounds fly away during the molecular dynamics (MD) simulation. We seek another method: peptide design. All peptide database were screened by the Docking process. Modification peptides were optimized the interaction modes, and the affinities were assessed with ZDOCK protocol and Refine Docked protein protocol. The 300 ns MD simulation evaluated the stability of receptor-peptide complexes. The double-site effect appeared on S2, a designed peptide based on a known inhibitor, when complexed with BCL2. S3, a designed peptide referred from endogenous inhibitor P16, competed against cyclin when binding with CDK6. The MDM2 inhibitors S5 and S6 were derived from the P53 structure and stable binding with MDM2. A flexible region of peptides S5 and S6 may enhance the binding ability by changing its own conformation, which was unforeseen. These peptides (S2, S3, S5, and S6) are potentially interesting to treat cancer; however, these findings need to be affirmed by biological testing, which will be conducted in the near future.

[Influence of artificial pneumoperitoneal media on colon carcinoma cell proliferation in vitro].

OBJECTIVE: To evaluate the influence of different pneumoperitoneal media on colon carcinoma LS-174T cell proliferation in vitro. METHODS: The artificial pneumoperitoneum was established. The proliferation of LS-174T cells was detected by MTT assay and soft agar clone formation assay. Expression of HIF-1alpha and VEGF was examined by immunohistochemistry. Apoptosis of LS-174T cells was analyzed by AO/EB double fluorescein stain and flow cytometry. RESULTS: The growth speed and proliferating capacity of LS-174T cells in CO(2) pneumoperitoneum group[A:0.37 +/- 0.02,formation (32.8 +/- 3.6)%] were significantly higher than those in control group [A:0.33 +/- 0.01,formation (28.4 +/- 2.3)%] and He group [A:0.30 +/- 0.01,formation (23.5 +/- 2.7)%], meanwhile the He group was the lowest (P<0.01). Positive expression of HIF-1alpha and VEGF in CO(2) and He artificial pneumoperitoneum up-regulated significantly as compared to control group(P<0.01), meanwhile the above expression was higher in CO(2) group (P<0.01). The G(0 )/G(1) ratio in CO(2) group was the lowest as compared to control group and He group (P<0.01), and G(0 )/G(1) ratio in He group was higher than that of control group(P<0.01). Aapoptosis rate in He group was the highest as compared with the other two groups(P<0.01). CONCLUSION: CO(2) pneumoperitoneum has stronger effect on the proliferation of colon carcinoma cell LS-174T as compared to He pneumoperitoneum in vitro.

[Protection of oxymatrine against ischemia-reperfusion injury of liver and mechanism thereof: experiment with rats].

OBJECTIVE: To investigate the effects of oxymatrine on protecting the liver against ischemia-reperfusion injury (IRI) and explore the mechanism thereof. METHODS: Thirty male Wistar rats were randomly divided into 3 equal groups: IRI group (2 ml normal saline was injected into the dorsal vein of penis, 30 min later laparotomy was performed, arterial clamp was used to grip the hepatic artery and portal vein for 30 minutes and then removed, the vessels were reperfused for 90 min, and 4 ml blood was collected from the aorta; parts of the liver were resected); oxymatrine group (oxymatrine 40 mg/kg was injected into the dorsal vein of penis, and the other procedures were the same as in the IRI group); and sham operation group (2 ml normal saline was injected into the dorsal vein of penis, laparotomy was performed, 150 min after the injection 4 ml blood was collected from the aorta and parts of the liver were resected). The levels of alanine transaminase (ALT) and aspartate transaminase (AST) were detected. The liver tissues underwent HE staining and TUNEL staining for pathological examination. Suspension of single hepatocytes was prepared to observe the ratio of apoptotic cells and cell cycles by flow cytometry (FCM). Western blotting was used to examine the Fas protein expression. RESULTS: The AST and ALT levels of the IRI group were 1326 U/L +/- 211 U/L and 768 U/L +/- 175 U/L respectively, significantly higher than those of the sham operation group (112 U/L +/- 53 U/L and 55 U/L +/- 17 U/L, both P < 0.05) and those of the oxymatrine group (513 U/L +/- 96 U/L and 352 U/L +/- 72 U/L respectively, both P < 0.01). The liver cells of the sham operation group were normal, those of the IRI group showed remarkable edema and cytoplasm degeneration. TUNEL staining showed remarkably more apoptotic cells in the IRI group. FCM showed that the apoptotic rate of hepatocytes was 42.8% +/- 5.2% in the IRI group, significantly higher than in the oxymatrine group (8.8% +/- 1.8%, P < 0.01), and that the ratio of hepatocytes in G(0)/G(1) stage of the IRI group was 99.2% +/- 1.8%, significantly higher than that of the sham operation group (77.0% +/- 2.1%), and that of the oxymatrine group (87.6% +/- 2.8%) (both P < 0.05); the ratio of hepatocytes in the S stage of the IRI group was 0.52% +/- 0.25%, significantly lower than those of the sham operation group (23.94% +/- 1.84%) and oxymatrine group (12.42% +/- 0.46%) (both P < 0.01). The Fas protein expression was significantly highly in the IRI group than in the oxymatrine group. CONCLUSION: Remarkably reducing the IRI of hepatocytes, oxymatrine has potential to protect the liver against IRI during surgical intervention.