Tumour-associated antigens in systemic lupus erythematosus: association with clinical manifestations and serological indicators.

OBJECTIVES: To explore the relationship of tumour-associated antigens (TAAs) with the clinical manifestations and serological markers of SLE. METHODS: This was a retrospective study. Clinical data of SLE patients were extracted from the electronic medical records, including serum levels of TAAs such as alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), cancer antigen (CA) 19-9, CA125, CA15-3 and cytokeratin 19-fragments (CYFRA21-1). TAA positivity was defined as serum level exceeding the upper limit of the corresponding reference range. RESULTS: A total of 149 SLE patients (SLE group) and 149 age- and sex-matched healthy subjects (control group) were enrolled. Compared with healthy controls, the SLE group had higher positivity rates for CA19-9 and CYFRA21-1, and elevated serum levels of CA125, CA15-3 and CYFRA21-1. SLE patients with TAA positivity were older, had a higher prevalence of serous effusion, pericardial effusion, albuminuria and thrombocytopenia, and lower positivity rate for anti-dsDNA than patients without TAA positivity. The levels of serum creatinine (SCR), blood urea nitrogen, glutamic oxalate transaminase and 24-h urinary protein were also higher in SLE patients with TAA positivity, but platelet count and serum albumin levels were lower. On logistic regression, thrombocytopenia and SCR levels were identified as independent risk factors for TAA positivity. CA125 positivity rate and serum levels of CA125 were associated with SLE disease activity. CONCLUSION: The positivity rates and serum levels of some TAAs were elevated in SLE, and thrombocytopenia and SCR levels were independent risk factors for TAA positivity.

A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19).

OBJECTIVE: The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) has caused more than 26 million cases of Corona virus disease (COVID-19) in the world so far. To control the spread of the disease, screening large numbers of suspected cases for appropriate quarantine and treatment are a priority. Pathogenic laboratory testing is typically the gold standard, but it bears the burden of significant false negativity, adding to the urgent need of alternative diagnostic methods to combat the disease. Based on COVID-19 radiographic changes in CT images, this study hypothesized that artificial intelligence methods might be able to extract specific graphical features of COVID-19 and provide a clinical diagnosis ahead of the pathogenic test, thus saving critical time for disease control. METHODS: We collected 1065 CT images of pathogen-confirmed COVID-19 cases along with those previously diagnosed with typical viral pneumonia. We modified the inception transfer-learning model to establish the algorithm, followed by internal and external validation. RESULTS: The internal validation achieved a total accuracy of 89.5% with a specificity of 0.88 and sensitivity of 0.87. The external testing dataset showed a total accuracy of 79.3% with a specificity of 0.83 and sensitivity of 0.67. In addition, in 54 COVID-19 images, the first two nucleic acid test results were negative, and 46 were predicted as COVID-19 positive by the algorithm, with an accuracy of 85.2%. CONCLUSION: These results demonstrate the proof-of-principle for using artificial intelligence to extract radiological features for timely and accurate COVID-19 diagnosis. KEY POINTS: • The study evaluated the diagnostic performance of a deep learning algorithm using CT images to screen for COVID-19 during the influenza season. • As a screening method, our model achieved a relatively high sensitivity on internal and external CT image datasets. • The model was used to distinguish between COVID-19 and other typical viral pneumonia, both of which have quite similar radiologic characteristics.

Integrative, genome-wide association study identifies chemicals associated with common women's malignancies.

BACKGROUND: Breast cancer, cervical cancer, and ovarian cancer are three of the most commonly diagnosed malignancies in women, and more cancer prevention research is urgently needed. METHODS: Summary data of a large genome-wide association study of female cancers were derived from the UK biobank. We performed a transcriptome-wide association study and a gene set enrichment analysis to identify correlations between chemical exposure and aberrant expression, repression, or mutation of genes related to cancer using the Comparative Toxicogenomics Database. RESULTS: We identified five chemicals (NSC668394, glafenine, methylnitronitrosoguanidine, fenofibrate, and methylparaben) that were associated with the incidence of both breast cancer and cervical cancer. CONCLUSION: Using a transcriptome-wide association study and gene set enrichment analysis we identified environmental chemicals that are associated with an increased risk of breast cancer, cervical cancer, and ovarian cancer.

Effect of miR-196a inhibition on esophageal cancer growth in vitro.

Esophageal cancer has recent shown a higher incidence but lower 5-year survival rate after normal clinical treatment in China. The aim of this study was to observe whether the inhibition of miR-196a affects esophageal cancer cell growth by modulating the nuclear factor-κB target gene and to detect the possible cooperative therapeutic effects on esophageal cancer by knocking down miR-196a expression combined with the specific inhibitor of nuclear factor-κB target genes. Thus, anti-miR-196a or sotrastaurin, a protein kinase C (PKC) inhibitor, were used to alter PKC expression. We found that miR-196a knockdown or PKC inhibition by sotrastaurin changed PKC expression which then reduced esophageal cancer cell proliferation and downregulated proliferating cell nuclear antigen expression via the classical B-cell receptor-PKC nuclear factor-κB pathway but not the alternative pathway; in addition, miR-196a inhibition can increase the caspase level and induce esophageal cancer cell apoptosis. Our current results provided the evidence that miR-196a was related to the classical nuclear factor-κB pathway, and these new findings proved the potential therapeutic effect of miR-196a in targeted therapy for clinical esophageal cancer patients.

Tetrandrine induces apoptosis in human neuroblastoma through regulating the Hippo/YAP signaling pathway.

Tetrandrine (TET), a bis-benzylisoquinoline alkaloid, shows cytotoxicity against several different types of tumors. However, the mechanism by which TET exerts its anti-cancer capabilities remains unclear. In this study, we confirmed that TET inhibits proliferation and induces apoptosis in neuroblastoma (NB) in vitro and in vivo. Moreover, we revealed that the anti-cancer ability of TET is associated with a decreased expression of anti-apoptotic Bcl-2. Importantly, we demonstrated that the Hippo/YAP pathway is involved in down-regulating of Bcl-2. Notably, YAP overexpression promoted proliferation and suppressed apoptosis, even partially reversed TET-induced effects in NB cells. Our findings support the prospect that TET could be a potential therapeutic agent for NB, and suggest that targeting the Hippo/YAP pathway may represent a valuable approach to NB treatment.

Role of Wnt Co-Receptor LRP6 in Triple Negative Breast Cancer Cell Migration and Invasion.

The low-density lipoprotein receptor-related protein 6 (LRP6) is an essential Wnt co-receptor of the Wnt/ß-catenin signaling pathway. Although studies have shown an increased expression of LRP6 in several types of cancer, its function in tumor development and progression remains to be elucidated. We herein demonstrated that LRP6 expression is up-regulated in human triple negative breast cancer (TNBC) patients and human TNBC cell lines, and that knockdown of LRP6 expression and treatment of recombinant Mesd protein (a specific inhibitor of LRP6) significantly decreased cell migration and invasion of TNBC MDA-MB-231 and BT549 cells. Interestingly, the effects of LRP6 knockdown and Mesd treatment on TNBC cell migration and invasion were more prominent than on TNBC cell proliferation/viability. Mechanistically, LRP6 knockdown and Mesd treatment inhibited Wnt/ß-catenin signaling and decreased the expression of S100A4, a mediator of cancer metastasis and a specific target of Wnt/ß-catenin signaling, in TNBC cells. Together, our data suggest that LRP6 promotes TNBC cell migration and invasion by regulating the expression and function of S100A4 via the Wnt/ß-catenin signaling pathway. J. Cell. Biochem. 118: 2968-2976, 2017. © 2017 Wiley Periodicals, Inc.

Classifying systemic lupus erythematosus using laboratory items alone: a preliminary study.

OBJECTIVES: To explore the performance of laboratory items alone in systemic lupus erythematosus (SLE) classification. METHODS: Our cohort consisted of 352 and 385 (control) patients with and without SLE. This study evaluated the performance of the American College of Rheumatology (ACR)-1997, Systemic Lupus International Collaborating Clinics (SLICC)-2012, European League Against Rheumatism (EULAR)/ACR-2019, and Systemic Lupus Erythematosus Risk Probability Index (SLERPI) using laboratory items alone, including blood and urine test results. RESULTS: The median ratio of laboratory items/total items was 66.7%, 75.0%, 60.4%, and 77.4% in ACR-1997, SLICC-2012, EULAR/ACR-2019, and SLERPI, respectively. After including laboratory items alone, the sensitivity of ACR-1997, SLICC-2012, EULAR/ACR-2019, and SLERPI was 31.3% (95% confidence interval [CI]: 26.4%-36.4%), 79.8% (95% CI: 75.3%-83.9%), 75.9% (95% CI: 71.0%-80.2%), and 85.2% (95% CI: 81.1%-88.8%), respectively. We referenced the SLERPI and removed the additional restrictions, i.e., SLICC-2012 criteria only needs to fulfill at least four items (mSLICC-2012) and EULAR/ACR-2019 criteria needs to have ≥ 10 points (mEULAR/ACR-2019) to qualify for SLE classification. The mSLICC-2012 and mEULAR/ACR-2019 criteria, including laboratory items alone, newly identified 13 and 25 patients, respectively. Based on laboratory items alone, the combination of mSLICC-2012, mEULAR/ACR-2019, and SLERPI identified 348 patients with an improved sensitivity of 90.6% (95% CI: 87.1%-93.5%). Patients, who were classified according to the mEULAR/ACR-2019 criteria, all met the other criteria. CONCLUSION: Incorporating laboratory items alone was clinically feasible to help identify SLE. SLERPI and SLICC-2012, using laboratory items alone, were more worthwhile to promote in the clinic compared with EULAR/ACR-2019. Key Points • Laboratory items play a crucial role in the SLE classification criteria, and incorporating laboratory items alone was clinically feasible to help in the identification of SLE. • The SLERPI and SLICC-2012, using laboratory items alone, were more worthwhile to promote in the clinic compared with EULAR/ACR-2019, and the combination of the two could further improve the sensitivity. • The relative simplicity of evaluating laboratory indices may help nonrheumatologists and inexperienced rheumatologists to identify SLE more quickly, thereby reducing the risk of delayed diagnosis in patients.

Value of SLE-DAS in assessing disease activity in patients with systemic lupus erythematosus: a single-centre retrospective study.

OBJECTIVES: This study aimed to evaluate the clinical value of the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) for assessing disease activity in patients with SLE. METHODS: Clinical data were collected from patients with SLE who were admitted at the Second Affiliated Hospital of Soochow University from January 2009 to December 2022. The glucocorticoid dose grading was used as the gold standard for disease activity assessment in SLE. The SLE-DAS value was calculated, and the SLE disease activity status was graded based on the SLE-DAS value. Another scoring criterion, the SLE Disease Activity Index 2000 (SLEDAI 2000), served as a control. Spearman correlation analysis was used to calculate the correlation between the scoring criteria and other variables. RESULTS: The analysis included 396 patients with SLE. A strong correlation was found between SLE-DAS and SLEDAI 2000 (ρ=0.709, 95% CI 0.648 to 0.766, p<0.001), with median SLE-DAS and SLEDAI 2000 scores of 15.32 (7.90 to 24.45) and 13 (8 to 19), respectively. Compared with the SLEDAI 2000 value, the SLE-DAS value correlated better with glucocorticoid dose grading (ρ=0.434 vs 0.518), gammaglobulin use (ρ=0.170 vs 0.318) and immunosuppressant use (ρ=0.122 vs 0.221). A moderate correlation based on disease activity grading was found between SLE-DAS and glucocorticoid dose grading (ρ=0.441), whereas a mild correlation was observed between SLEDAI 2000 and glucocorticoid dose grading (ρ=0.325). Additionally, SLE-DAS revealed a positive correlation with severe thrombocytopenia, cardiac involvement and pulmonary involvement but not SLEDAI 2000. CONCLUSION: Compared with SLEDAI 2000, SLE-DAS may provide a more accurate disease activity assessment in patients with SLE, especially those with severe thrombocytopenia and cardiopulmonary involvement.

Relationship between visceral obesity and prognosis in patients with stage IVB cervical cancer receiving radiotherapy and chemotherapy.

Background: Concurrent chemoradiotherapy is the preferred treatment for stage IVB cervical cancer; however, some patients experience a poor prognosis. The prognostic significance of body composition indicators, including visceral obesity, has been extensively investigated in patients with cancer. This study aimed to assess the impact of body composition indicators, specifically pretreatment fat content, on the survival outcomes of patients with stage IVB cervical cancer. Methods: We retrospectively analyzed clinical information from patients diagnosed with stage IVB cervical cancer between 2010 and 2018. We measured visceral obesity (visceral-to-subcutaneous adipose tissue area ratio [VSR]) and skeletal muscle index (SMI) on pretreatment computed tomography (CT) images. We evaluated the impact of these body composition parameters on the prognosis of patients with cervical cancer. Results: Overall, 116 patients were included, 81 of whom had complete clinical and imaging information. Based on the cut-off values from X-tile analysis, we categorized patients into high and low VSR and SMI groups. The overall survival (OS) rate of patients with a high VSR was significantly higher than that of patients with a low VSR (P = 0.022). Multivariate Cox regression analysis showed that a low VSR was an independent risk factor for the prognosis of patients with stage IVB cervical cancer. Conclusion: Visceral obesity before radiotherapy and chemotherapy has a protective effect on the prognosis of patients with stage IVB cervical cancer, while low muscle index and VSR are associated with poor prognosis.

Association of serum tumor markers with serous effusion in systemic lupus erythematosus.

The objective of this study was to investigate the relationship between serum tumor markers and serous effusion in systemic lupus erythematosus (SLE) patients, thereby contributing preliminary data on the utility of these tumor markers in diagnosing serous effusion. In this retrospective analysis, clinical data of SLE patients were extracted from electronic medical records. This included the levels of serum tumor markers, including pro-gastrin-releasing peptide, neuron-specific enolase (NSE), cytokeratin-19 fragments (CYFRA 21-1), various carbohydrate antigens (CA 153, CA 125, CA 19-9), along with carcinoembryonic antigen, and alpha-fetoprotein. Positivity of tumor markers was established based on serum levels surpassing the upper threshold of the respective reference ranges. This study included 149 eligible patients with SLE, of whom 38 (25.50%) had serous effusion, and the prevalence of pleural, pericardial, and peritoneal effusions was 11.41%, 14.77%, and 6.71%, respectively. The analysis revealed that patients with serous effusion had higher scores on the SLE Disease Activity Index 2000 (SLEDAI 2000) than those without serous effusion. Notably, this disparity remained significant when the serositis score was excluded from the SLEDAI 2000 calculation. The positivity rate and serum levels of CA 125 were higher in patients with serous effusion and pleural effusion. Patients with pericardial effusion demonstrated an elevated CYFRA 21-1 positivity rate and serum CA 125 and CYFRA 21-1 levels compared to patients without pericardial effusion. CA 125 and NSE were higher both in terms of positivity rate and serum levels for patients with peritoneal effusion. Through receiver operating characteristic curve analysis, a moderate relationship was discerned between the conjoined levels of CYFRA 21-1 and CA 125 and the occurrence of pericardial effusion. Additionally, CA 125, NSE, and their combination revealed the moderate diagnostic ability of peritoneal effusion. In summary, this study observed elevated serum levels of various tumor markers in SLE patients exhibiting serous effusion, which is likely attributable to lupus-induced inflammation. These findings suggest that serum tumor markers can be valuable in diagnosing pericardial and peritoneal effusions.

Cocktail hepatocarcinoma therapy by a super-assembled nano-pill targeting XPO1 and ATR synergistically.

Intensive cancer treatment with drug combination is widely exploited in the clinic but suffers from inconsistent pharmacokinetics among different therapeutic agents. To overcome it, the emerging nanomedicine offers an unparalleled opportunity for encapsulating multiple drugs in a nano-carrier. Herein, a two-step super-assembled strategy was performed to unify the pharmacokinetics of a peptide and a small molecular compound. In this proof-of-concept study, the bioinformatics analysis firstly revealed the potential synergies towards hepatoma therapy for the associative inhibition of exportin 1 (XPO1) and ataxia telangiectasia mutated-Rad3-related (ATR), and then a super-assembled nano-pill (gold nano drug carrier loaded AZD6738 and 97-110 amino acids of apoptin (AP) (AA@G)) was constructed through camouflaging AZD6738 (ATR small-molecule inhibitor)-binding human serum albumin onto the AP-Au supramolecular nanoparticle. As expected, both in vitro and in vivo experiment results verified that the AA@G possessed extraordinary biocompatibility and enhanced therapeutic effect through inducing cell cycle arrest, promoting DNA damage and inhibiting DNA repair of hepatoma cell. This work not only provides a co-delivery strategy for intensive liver cancer treatment with the clinical translational potential, but develops a common approach to unify the pharmacokinetics of peptide and small-molecular compounds, thereby extending the scope of drugs for developing the advanced combination therapy.

Fiber Microarchitecture in Interpenetrating Collagen-Alginate Hydrogel with Tunable Mechanical Plasticity Regulates Tumor Cell Migration.

The fiber structures of tumor microenvironment (TME) are well-known in regulating tumor cell behaviors, and the plastic remolding of TME has recently been suggested to enhance tumor metastasis as well. However, the interrelationship between the fiber microarchitecture and matrix plasticity is inextricable by existing in vitro models. The individual roles of fiber microarchitecture and matrix plasticity in tuning tumor cell behaviors remain elusive. This study develops an interpenetrating collagen-alginate hydrogel platform with independently tunable matrix plasticity and fiber microarchitecture through an interpenetrating strategy of alginate networks and collagen I networks. With this hydrogel platform, it is demonstrated that tumor cells in high plasticity hydrogels are more extensive and aggressive than in low plasticity hydrogels and fiber structures only have influence in high plasticity hydrogels. The study further elucidates the underlying mechanisms through analyzing the distribution of forces within the matrix and tracking the focal adhesions (FAs) and finds that highly plastic hydrogels can activate the FAs formation, whereas the maturation and stability of FAs are dominated by fiber dispersion. This study not only establishes new ideas on how cells interact with TME cues but also would help to further finely tailor engineered hydrogel platforms for studying tumor behaviors in vitro.

Mechanotherapy in oncology: Targeting nuclear mechanics and mechanotransduction.

Mechanotherapy is proposed as a new option for cancer treatment. Increasing evidence suggests that characteristic differences are present in the nuclear mechanics and mechanotransduction of cancer cells compared with those of normal cells. Recent advances in understanding nuclear mechanics and mechanotransduction provide not only further insights into the process of malignant transformation but also useful references for developing new therapeutic approaches. Herein, we present an overview of the alterations of nuclear mechanics and mechanotransduction in cancer cells and highlight their implications in cancer mechanotherapy.

Effect of socio-economic factors on delayed access to health care among Chinese cervical cancer patients with late rectal complications after radiotherapy.

OBJECTIVES: To determine the effect of socio-economic status (SES) on delayed access to medical treatment by Chinese cervical cancer patients who suffered from late rectal sequelae (LRS) after external beam radiation therapy (EBRT) and intracavitary brachytherapy. METHODS: Patients diagnosed with LRS were interviewed for their SES, factors including age, residing district, religion, marital status, income, education, insurance and patient delay (the time interval from the onset of symptoms to the first medical consultation) and other factors such as weight, symptom duration and disease stage at diagnosis. RESULTS: One hundred and twenty nine patients were interviewed. Seventy-one patients (55%) sought medical treatment within three months after the first symptom being recognized and fifty-eight patients (45%) delayed their medical treatment over 3 months. The study shows that age ≥ 55 (OR=12.1; 95% CI: 3.3-43.9), lower education (OR=4.6; 95% CI: 2.0-10.4 for women with primary school education or illiterate), low annual household income (OR=2.3; 95% CI: 1.2-5.1) and widow/divorce (OR=0.1; 95% CI: 0.01-0.07) were the high risk factors for delayed reporting. Patients with bleeding or bleeding plus other symptoms (61.2%) were more likely to seek treatment within three months, compared to patients with other symptoms only (38.8%) (p=0.002). Additionally, delayed reporting was found to be significantly associated with the late stage of late rectal sequelae (LRS) (p=0.000) and the patients with 55 years or older (p=0.000). CONCLUSIONS: Delayed reporting and late-stage presentation of late rectal sequelae are more prevalent among Chinese cervical cancer patients with 55 years or older, low education, poor marital status, or poor financial status. Effective social support and educational programs should be implemented to encourage these patients to seek medical treatment as soon as possible.

A molecular beacon-based method for screening cervical cancer.

The aim of this study is to develop a new screening method, molecular beacon (MB) imaging, for detection of cervical cancer and to determine its potential clinical applications by examining the sensitivity and specificity of target-specific MBs. Two target-specific molecular beacons were designed and synthesized for survivin and HPV16E6 mRNA. The two designed MBs and a random control MB were used to detect cervical cancer cell lines and a normal cell line. RT-PCR and western blot targeting survivin and HPV16E6 was done for verification. Furthermore the sensitivity and the specificity of the survivin and HPV16E6 mRNA MBs were examined in smears from 125 clinical cervical patients. The survivin and HPV16E6 mRNA MBs generated a strong fluorescence signal in cervical cancer cell lines, but not in the normal cell line, while the random control MB did not generated any signal in both cell lines. The fluorescence intensity correlated well with the gene expression levels in the cells determined by reverse transcription-PCR and Western blot analysis. The clinical sensitivity and the specificity of survivin MB-FITC were 72.5 and 77% while those of HPV16E6 MB-Cy3 were 96.1% and 71.6%, respectively. A parallel test of the two target MBs showed that the sensitivity increased to 98% and the specificity was 70.2%. The survivin and HPV16E6 mRNA MBs showed good reliability and sensitivity. They have great potential for clinical use in cervical cancer screening.

Diagnostic accuracy of the European League against rheumatism/American College of Rheumatology-2019 versus the Systemic Lupus International Collaborating Clinics-2012 versus the ACR-1997 classification criteria in adult systemic lupus erythematosus: A systematic review and meta-analysis.

Aim: To evaluate the diagnostic performance of the American College of Rheumatology (ACR)-1997, the Systemic Lupus International Collaborating Clinics (SLICC)-2012, and the European League against Rheumatism (EULAR)/ACR-2019 classification criteria in adult patients with systemic lupus erythematosus (SLE). Methods: PubMed, Embase, Web of Science and Cochrane Library databases were searched for literature comparing the three classification criteria of ACR-1997, SLICC-2012 and EULAR/ACR-2019, which took clinical diagnosis as reference. Meta-analysis was used to evaluate and compare the sensitivity, specificity and diagnostic odds ratio of ACR-1997, SLICC-2012 and EULAR/ACR-2019. To assess the early diagnosis capability of the classification criteria, subgroups of patients with disease duration < 3 years and < 1 year were selected for comparison of sensitivity and specificity based on the inclusion of the original study. The sensitivity and specificity of each item in three sets of classification criteria were evaluated. In addition, the clinical and immunological characteristics of patients who did not meet the three classification criteria were compared. Results: Nine original studies were included in the analysis, including 6404 SLE patients and 3996 controls. Results showed that the diagnostic odds ratios (95% confidence interval) of the SLICC-2012 [136.35 (114.94, 161.75)] and EULAR/ACR-2019 [187.47 (158.00, 222.42)] were higher than those of the ACR-1997 [67.53 (58.75, 77.63)]. Compared with ACR-1997[(0.86 (0.82, 0.89)], SLICC-2012[(0.96 (0.93, 0.97)] and EULAR/ACR-2019[(0.95 (0.92, 0.97)] had higher sensitivity. The specificity of the three classification criteria was similar: ACR-1997, SLICC-2012, and EULAR/ACR-2019 were 0.93 (0.89, 0.95), 0.86 (0.79, 0.91), and 0.91 (0.85, 0.95), respectively. The sensitivity of SLICC-2012 and EULAR/ACR-2019 were higher than that of ACR-1997 in early-course subgroups. Patients who did not meet ACR-1997 had more hypocomplementemia, patients who did not meet SLICC-2012 had more cutaneous lupus and photosensitivity, and patients who did not meet EULAR/ACR-2019 had more cutaneous lupus and leucopenia. Conclusions: SLICC-2012 and EULAR/ACR-2019 have better diagnostic ability than the ACR-1997, and the sensitivity of the former two criteria is also higher than that of the latter; Moreover, the SLICC-2012 and EULAR/ACR-2019 for patients in the early stages of disease performed equally excellent.

Dynamic Nomogram Based on the Metastatic Number and Sites and Therapy Strategies Predicting the Prognosis of Patients with Metastatic Cervical Cancer.

Background: Individual survival prediction is of vital importance to optimize the individualized treatment of metastatic cervical cancer (mCC) patients. The goal of this study was to identify the potential risk factors for the survival of mCC patients and construct a nomogram for their prognosis. Methods: Medical records of patients with newly diagnosed mCC at the First Affiliated Hospital of Xi'an Jiaotong University were reviewed retrospectively. Risk factors were identified using Cox proportional hazards analysis and Kaplan-Meier curves. Random forest was used to identify factors associated with therapy strategy. Nomogram and dynamic nomogram were established using 'rms' and "DynNom" R package. Results: A total of 98 patients with mCC were finally identified. In Cox analyses, multiple metastases and concurrent chemoradiotherapy (CCRT) were identified as independent predictors for overall survival (OS). We further explored the prognostic value of metastatic number and sites and therapy strategies for mCC patients by Kaplan-Meier curves. A dynamic nomogram including metastases number and sites (multiple metastases, liver and lymph node (LN) above diaphragm metastases) and chemoradiotherapy strategies (CCRT, postradiotherapy chemotherapy, and radiotherapy to metastatic sites) was constructed for predicting the prognosis of mCC patients. For newly diagnosed patients, we strongly recommended the combination of chemotherapy and definitive pelvic radiotherapy and, if possible, radiation to metastatic site, but CCRT should be implemented with caution. We constructed a dynamic nomogram indicating that patients with younger age, shorter symptom duration, and better laboratory test results are suitable for CCRT. Conclusion: Survival analyses showed that the metastatic number and sites and therapy strategies are associated with the prognosis of mCC patients. The CCRT and prognostic nomograms may help clinicians to make better clinical decisions and effectively predict the prognosis for newly diagnosed mCC patients.

Modelling Parkinson's Disease in C. elegans: Strengths and Limitations.

Parkinson's disease (PD) is a common neurodegenerative disease that affects the motor system and progressively worsens with age. Current treatment options for PD mainly target symptoms, due to our limited understanding of the etiology and pathophysiology of PD. A variety of preclinical models have been developed to study different aspects of the disease. The models have been used to elucidate the pathogenesis and for testing new treatments. These models include cell models, non-mammalian models, rodent models, and non-human primate models. Over the past few decades, Caenorhabditis elegans (C. elegans) has been widely adopted as a model system due to its small size, transparent body, short generation time and life cycle, fully sequenced genome, the tractability of genetic manipulation and suitability for large scale screening for disease modifiers. Here, we review studies using C. elegans as a model for PD and highlight the strengths and limitations of the C. elegans model. Various C. elegans PD models, including neurotoxin-induced models and genetic models, are described in detail. Moreover, met.

Targeting Tumor Physical Microenvironment for Improved Radiotherapy.

Radiotherapy has led to important clinical advances; existing cancer radiotherapy resistance is one remaining major challenge. Recently, biophysical cues in the tumor microenvironment (TME) have been regarded as the new hallmarks of cancer, playing pivotal roles in various cancer behaviors and treatment responses, including radiotherapy resistance. With recent advances in micro/nanotechnologies and functional biomaterials, radiotherapy exerts great influence on biophysical cues in TME, which, in turn, significantly affect the response to radiotherapy. Besides, various strategies have emerged that target biophysical cues in TME, to potentially enhance radiotherapy efficacy. Therefore, this paper reviews the four biophysical cues (i.e., extracellular matrix (ECM) microarchitecture, ECM stiffness, interstitial fluid pressure, and solid stress) that may play important roles in radiotherapy resistance, their possible mechanisms for inducing it, and their change after radiotherapy. The emerging therapeutic strategies targeting the biophysical microenvironment, to explore the mechanism of radiotherapy resistance and develop effective strategies to revert it for improved treatment efficacy are further summarized.