Evaluation of the clinical application of multiple tumor marker protein chip in the diagnostic of lung cancer

Application of surface Plasmon resonance imaging in the high-throughput detection of influenza virus

ObjectiveTo evaluate the application effect of SPRi monoclonal antibody (mAb) chip in the detection of influenza virus antigen in complex mixtures.MethodsA total of 115 strains of mAbs against different subtypes (H1N1, H5N1, A1, A3, B, H7N9, H9N2, and H3N2) of influenza virus were prepared. The chip of mAbs against influenza virus was prepared by surface plasmonic resonance imaging (SPRi) technology, which was used for the detection of influenza virus supernatant, and compared with the traditional antigen capture ELISA method.ResultsComparative studies have shown that traditional antigen capture ELISA methods have a higher sensitivity (86.8% (46/53) vs. 46.5% (46/99); z = 4.84, P < .001), while the SPRi chip methods present a significantly higher specificity (56.3% (9/16) vs. 14.5% (9/62); z = 3.54, P < .001). The SPRi chip detection method for influenza virus antibodies can well reflect the specific binding characteristics of influenza virus antigens and antibodies.ConclusionThe SPRi mAb chip can be used for the detection of specific pathogenic microorganisms or viral proteins in complex mixtures such as influenza virus supernatant. It has significant advantages of label free, real-time, high-throughput, and good specificity, and can play an important role in disease diagnosis and infectious disease prevention and control.

Diagnostic value of microRNA-200 expression in peripheral blood-derived extracellular vesicles in early-stage non-small cell lung cancer

OBJECTIVE

This study assessed the diagnostic value of microRNA-200 (miR-200) expression in peripheral blood-derived extracellular vesicles (EVs) in early-stage non-small cell lung cancer (NSCLC).

METHODS

This study retrospectively analyzed 100 healthy volunteers (the control group) receiving physical examinations, 168 early-stage NSCLC patients (the NSCLC group), and 128 patients with benign lung nodules (the benign group). The basic and clinical data of participants were obtained, including age, sex, smoking history, carbohydrate antigen 242 (CA242), carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), forced expiratory volume in 1 s, maximal voluntary ventilation, forced vital capacity, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and miR-200 expression. The correlation of miR-200 expression in peripheral blood-derived EVs with CA242, CEA, and CA199 was analyzed, and the diagnostic value of peripheral blood-derived EV miR-200 for early-stage NSCLC was assessed. The risk factors of early-stage NSCLC development were also determined.

RESULTS

Age, the percentage of patients with smoking history, CA242, CEA, CA199, IL-6, and TNF-α levels, and miR-200 expression in peripheral blood-derived EVs were significantly higher in the NSCLC group than in the benign and control groups. Lung disease patients with high miR-200 expression in peripheral blood-derived EVs comprised a higher percentage of patients with smoking history and mixed lesions and had higher CA242, CEA, CA199, and TNF-α levels than those with low miR-200 expression in peripheral blood-derived EVs. In lung diseases, miR-200 expression in peripheral blood-derived EVs was significantly and positively correlated with CA242, CEA, and CA199. Peripheral blood-derived EV miR-200 combined with CA242, CEA and CA199 had higher diagnostic value (area under the curve = 0.942) than single detection, along with higher specificity, and high expression of peripheral blood-derived EV miR-200 was an independent risk factor for early-stage NSCLC.

CONCLUSION

Peripheral blood-derived EV miR-200 expression in patients with lung diseases is closely correlated with CA242, CEA, and CA199, and high expression of peripheral blood-derived EV miR-200 is an independent risk factor for early-stage NSCLC and is of high clinical diagnostic value for early-stage NSCLC.

Correlation of DNA methylation of DNMT3A and TET2 with oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) is the sixth most common malignancy worldwide. Abnormal epigenetic modifications, including DNA methylation, are hallmarks of cancer and implicated in the development of various tumors. DNA methylation is catalyzed by the DNA methyltransferase and ten-eleven translocation dioxygenase families, with DNMT3A and TET2 being the most widely studied members, respectively. The correlation of methylation β values and clinical features was conducted in patients with OSCC in The Cancer Genome Atlas database. DNA methylation and protein expression levels of DNMT3A and TET2 in tissues were analyzed with methylation-specific polymerase chain reaction (MSP) and western blotting. To evaluate the effects of DNMT3A and TET2 on the biological characteristics of OSCC, cell proliferation was assessed with 5-ethynyl-2'-deoxyuridine, and cell migration capacity was quantified with wound healing and transwell assays. A survival analysis was performed with the Kaplan-Meier approach. The correlation between different methylation β values and clinical features was revealed. MSP revealed varying methylation degrees of DNMT3A and TET2 in OSCC tissues. Furthermore, western blotting showed that the protein expression levels were significantly different in cancer and surrounding healthy tissue samples. In vitro experiments demonstrated that DNMT3A knockdown and TET2 overexpression could inhibit the proliferation and migration of OSCC. Survival analysis revealed that patients with high DNMT3A methylation levels showed higher survival rates.

Serum expression of tumor marker CA242 in patients with different gynecological diseases

OBJECTIVE

The aim of this study was to investigate the serum levels of CA242 in different types of gynecological diseases and its clinical significance.

METHODS

A total of 1021 patients with gynecological diseases and 499 healthy female controls were included in the study. The serum CA242 levels were detected and median value, -log10P value, and positive rate were calculated. Serum CA125 and HE4 levels of patients with ovarian lesions were measured, and the predictive value for ovarian cancer was statistically analyzed.

RESULTS

Higher serum CA242 levels were observed in patients with mature teratoma, ovarian cancer, and other gynecological tumor diseases than in healthy controls. In contrast, the CA242 levels in patients with cervical intraepithelial neoplasia, uterine polyps, or endometrial hyperplasia were comparable to that of controls. Moreover, serum CA242 expression was increased in malignant uterine and ovarian diseases compared with benign ones (P < .05). Specifically, combining CA242, CA125, and HE4 yielded a higher area under the receiver operating characteristic curve than single biomarkers (P < .05).

CONCLUSION

Heterogeneous increases in tumor marker CA242 expression levels are observed in different gynecological diseases, suggesting its potential value for clinical diagnosis.

Bibliometric and visualized analysis of applying tumor markers in lung cancer diagnosis from 2000 to 2022

Background

Lung cancer (LC) is the leading cause of cancer-related deaths worldwide. Tumor marker (TM) detection can indicate the existence and growth of a tumor and has therefore been used extensively for diagnosing LC. Here, we conducted a bibliometric analysis to examine TM-related publications for LC diagnosis to illustrate the current state and future trends of this field, as well as to identify additional promising TMs with high sensitivity.

Methods

Publications regarding TMs in LC diagnosis were downloaded from the Web of Science Core Collection. CiteSpace was applied to perform a bibliometric analysis of journals, cocitation authors, keywords, and references related to this field. VOSviewer was used to generate concise diagrams about countries, institutions, authors, and keywords. Changes in the TM research frontier were analyzed through citation burst detection.

Results

A total of 990 studies were analyzed in this work. The collaboration network analysis revealed that the People's Republic of China, Yonsei University, and Molina R were the most productive country, institution, and scholar, respectively. Additionally, Molina R was the author with the most citations. The National Natural Science Foundation of China was the largest funding source. "Carcinoembryonic antigen (CEA) as tumor marker in lung cancer" was the top reference with the most citations, Lung Cancer was the core journal, and "serum tumor marker" experienced a citation burst over the past 5 years.

Conclusion

This bibliometric analysis of TMs in LC diagnosis presents the current trends and frontiers in this field. We summarized the research status of this field and the methods to improve the diagnostic efficacy of traditional serum TMs, as well as provided new directions and ideas for improving the LC clinical detection rate. Priority should be given to the transformation of computer-assisted diagnostic technology for clinical applications. In addition, circulating tumor cells, exosomes, and microRNAs were the current most cutting-edge TMs.

Research progress in protein microarrays: Focussing on cancer research

Although several effective treatment modalities have been developed for cancers, the morbidity and mortality associated with cancer continues to increase every year. As one of the most exciting emerging technologies, protein microarrays represent a powerful tool in the field of cancer research because of their advantages such as high throughput, small sample usage, more flexibility, high sensitivity and direct readout of results. In this review, we focus on the research progress in four types of protein microarrays (proteome microarray, antibody microarray, lectin microarray and reversed protein array) with emphasis on their application in cancer research. Finally, we discuss the current challenges faced by protein microarrays and directions for future developments. We firmly believe that this novel systems biology research tool holds immense potential in cancer research and will become an irreplaceable tool in this field.

Classification of solid pulmonary nodules using a machine-learning nomogram based on 18F-FDG PET/CT radiomics integrated clinicobiological features

Background

To develop and validate an ¹⁸F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) and clinico-biological features-based nomogram for distinguishing solid benign pulmonary nodules (BPNs) from malignant pulmonary nodules (MPNs).

Methods

A total of 280 patients with BPN (n=128) or MPN (n=152) were collected retrospectively and randomized into the training set (n=196) and validation set (n=84). Pretherapeutic clinicobiological markers, PET/CT metabolic features and radiomic features were analyzed and selected to develop prediction models by the machine-learning method [Least Absolute Shrinkage and Selection Operator (LASSO) regression]. These prediction models were validated using the area under the curve (AUC) of the receiver-operator characteristic (ROC) analysis and decision curve analysis (DCA). Then, the factors of the model with the optimal predictive efficiency were used to constructed a nomogram to provide a visually quantitative tool for distinguishing BPN from MPN patients.

Results

We developed 3 independent models (Clinical Model, Radiomics Model and Combined Model) to distinguish patients with BPN from those with MPN in the training set. The Combined Model was validated to hold the optimal efficiency and clinical utility with the lowest false positive rate (FPR) in classifying the solid pulmonary nodules in two sets (AUCs of 0.91 and 0.94, FPRs of 18.68% and 5.41%, respectively; P<0.05). Thus, the quantitative nomogram was developed based on the Combined Model, and a good consistency between the predictions and the actual observations was validated by the calibration curves.

Conclusions

This study presents a machine-learning nomogram integrated clinico-biologico-radiological features that can improve the efficiency and reduce the FPR in the noninvasive differentiation of BPN from MPN.

[Diagnostic value of serum tumor markers CEA, CYFRA21-1, SCCAg, NSE and ProGRP for lung cancers of different pathological types]

OBJECTIVE

To evaluate the diagnostic value of the serum tumor markers carcinoembryonic antigen (CEA), cytokeratin-19-fragment (CYFRA21-1), squamous cell carcinoma associated antigen (SCCAg), neuron-specificenolase (NSE) and pro-gastrin-releasing peptide (ProGRP) for lung cancers of different pathological types.

METHODS

This study was conducted among patients with established diagnoses of lung adenocarcinoma (LADC, n=137), lung squamous cell carcinoma (LSCC, n=82), small cell lung carcinoma (SCLC, n=59), and benign chest disease (BCD, n=102). The serum tumor markers were detected for all the patients for comparison of the positivity rates and their serum levels. ROC curve was used for analysis of the diagnostic efficacy of these tumor markers either alone or in different combinations.

RESULTS

In patients with LADC, the positivity rate and serum level of CEA were significantly higher than those in the other groups (P < 0.05); the patients with LSCC had the highest positivity rate and serum level of SCCAg among the 4 groups (P < 0.05). The positivity rates and serum levels of ProGRP and NSE were significantly higher in SCLC group than in the other groups (P < 0.05). CYFRA21-1 showed the highest positivity rate and serum level in LADC group and LSCC group. With the patients with BCD as control, CEA showed a diagnostic sensitivity of 62.8% and a specificity of 93.1% for LADC, and the sensitivity and specificity of SCCAg for diagnosing LSCC were 64.6% and 91.2%, respectively. CYFRA21-1 had the highest diagnostic sensitivity for LADC and LSCC. The diagnostic sensitivity and specificity of ProGRP for SCLC were 83.1% and 98.0%, respectively. When combined, CYFRA21-1 and CEA showed a high sensitivity (78.8%) and specificity (86.3%) for diagnosing LADC with an AUC of 0.891; CYFRA21-1 and SCCAg had a high sensitivity (84.1%) and specificity (87.3%) for diagnosing LSCC with an AUC of 0.912. NSE combined with ProGRP was highly sensitive (88.1%) and specific (98.0%) for diagnosis of SCLC, with an AUC of 0.952. For lung cancers of different pathological types, the combination of all the 5 tumor markers showed no significant differences in the diagnostic power from a combined detection with any two of the markers (P>0.05).

CONCLUSION

CEA, CYFRA21-1, SCCAg, NSE and ProGRP are all related to the pathological type of lung cancers and can be used in different combinations as useful diagnostic indicators for lung cancers.

A novel immunodiagnosis panel for hepatocellular carcinoma based on bioinformatics and the autoantibody-antigen system

Hepatocellular carcinoma (HCC) is a malignancy with a dismal survival rate. The novel autoantibodies panel may provide new insights for the diagnosis of HCC. Biomarkers screened by two methods (bioinformatics and the antigen‐antibody system) were taken as candidate tumor‐associated antigens (TAAs). Enzyme‐linked immunosorbent assay was used to detect the corresponding autoantibodies in 888 samples of verification and validation cohorts. The verification cohort was used to verify the autoantibodies. Samples in the validation cohort were randomly divided into a train set and a test set with the ratio of 6:4. A diagnostic model was established by support vector machines within the train set. The test set further verified the model. Eleven TAAs were selected (AAGAB, C17orf75, CDC37L1, DUSP6, EID3, PDIA2, RGS20, PCNA, TAF7L, TBC1D13, and ZIC2). The titer of six autoantibodies (PCNA, AAGAB, CDC37L1, TAF7L, DUSP6, and ZIC2) had a significant difference in any of the pairwise comparisons among the HCC, liver cirrhosis, and normal control groups. The titer of these autoantibodies had an increasing tendency. Finally, an optimum diagnostic model was constructed with the six autoantibodies. The AUCs were 0.826 in the train set and 0.773 in the test set. The area under the curve (AUC) of this panel for diagnosing early HCC was 0.889. The diagnostic ability of the panel reduced with the progress of HCC. The positive rate of the panel in diagnosing alpha‐fetoprotein (AFP)‐negative patients was 75.6%. For early HCC, the sensitivity of the combination of AFP with the panel was 90.9% and superior to 53.2% of AFP alone. The novel immunodiagnosis panel combining AFP may be a new approach for the diagnosis of HCC, especially for early‐HCC cases.

Carcinoembryonic antigen, α-fetoprotein, and Ki67 as biomarkers and prognostic factors in intrahepatic cholangiocarcinoma: A retrospective cohort study

INTRODUCTION AND OBJECTIVE

The purpose of this study was to investigate the expression levels and prognostic roles of α-fetoprotein (AFP), carcinoembryonic antigen (CEA), and Ki67 in tumor tissues of intrahepatic cholangiocarcinoma (ICC) patients.

PATIENTS OR MATERIALS AND METHODS

The study involved ninety-two ICC patients with complete clinicopathological data and follow-up information, who had previously undergone radical surgery. AFP, CEA, CD10, CD34, and Ki67 were detected in tumor tissues using immunohistochemistry. Statistical tests were used to identify independent risk factors and their associations with overall survival (OS) and disease-free survival (DFS).

RESULTS

AFP, CEA and Ki67 were strongly correlated with prognosis. Univariate analysis indicated that higher AFP (P = 0.002), CEA (P < 0.0001), Ki67 (P < 0.0001), CA19-9 (P = 0.039), and CA12-5 (P = 0.002), and larger tumor size (P = 0.001), as well as more advanced tumor node metastasis (TNM) staging (P < 0.0001) were all associated with worse OS. Meanwhile, higher AFP (P = 0.002), CEA (P = 0.001), and Ki67 (P < 0.0001), as well as more advanced TNM staging (P = 0.005) were associated with worse DFS. Multivariate analysis showed that higher AFP (HR = 2.004, 95%CI: 1.146-3.504 P = 0.015), CEA (HR = 2.226, 95%CI: 1.283-3.861 P = 0.004), and Ki67 (HR = 3.785, 95%CI: 2.073-6.909 P < 0.0001), as well as more advanced TNM staging (HR = 2.900, 95%CI: 1.498-5.757 P = 0.002) had associations with worse OS. Furthermore, higher AFP (HR = 2.172, 95%Cl: 1.291-3.654 P = 0.003), CEA (HR = 1.934, 95%Cl: 1.180-3.169 P = 0.009), and Ki67 (HR = 2.203, 95%Cl: 1.291-3.761 P = 0.004) had associations with worse DFS.

CONCLUSION

High AFP, CEA, and Ki67 are significant prognostic indicators in ICC patients, and can be used to evaluate ICC biological behavior and prognosis.

Are Serum Ferritin Levels a Reliable Cancer Biomarker? A Systematic Review and Meta-Analysis

Although serum ferritin (SF) has been shown in several studies to be a potential cancer biomarker, the results are inconsistent. Herein, a systematic review was performed to investigate the clinical SF levels in different types of tumors in order to verify the role of SF levels as a biomarker for cancer diagnosis. The search was performed using the PubMed/Medline, Cochrane Library, and Scopus databases. Observational studies comparing SF levels between healthy adults and patients with cancer were included. The meta-analysis was carried out according to the inverse variance and random effects model. The standardized mean differences (SMDs) were assessed at 95% confidence intervals (CIs). We found that SF was higher in patients with cancer (SMD 3.07; CI 1.96,4.17), especially for head and neck cancer (SMD 3.88; CI 0.42,7.34), lung cancer (SMD 1.72; CI 0.67,2.78), pancreatic cancer (SMD 6.79; CI 5.66,7.91), and renal cell carcinoma (SMD 1.77; CI 0.48,3.05). Moreover, in the advanced stages (Stages III and IV), ferritin levels were higher than in healthy adults (SMD 4.89; CI 2.72,7.06, and SMD 8.40; CI 6.99,9.82, respectively). SF acts as a biomarker for pancreatic cancer, renal cell carcinoma, lung cancer, and head and neck cancer and is a sensitive biomarker for the detection of advanced stages of tumors.

Hydrazine Hydrate and Dissolved Oxygen-Triggered Near-Infrared Chemiluminescence from CuInS2@ZnS Nanocrystals for Bioassays

The overwhelming majority of commercially available chemiluminescence (CL) assays are conducted in the eye-visible region. Herein, a near-infrared (NIR) aqueous CL strategy was proposed with CuInS₂@ZnS nanocrystals (CIS@ZnS NCs) as emitters. Hydrazine hydrate (N₂H₄·H₂O) could inject electrons into the conduction band of the CIS@ZnS NCs and simultaneously transformed to the intermediate radical N₂H₃^•. N₂H₃^• reduced dissolved oxygen (O₂) to O₂^-•, while the O₂^-• could inject holes into the valence band of the CIS@ZnS NCs. The recombination of electrons and holes at Cu⁺ defects in CIS@ZnS NCs eventually yielded efficient NIR CL at around 824.1 nm, which is the longest waveband for NCs CL to the best of our knowledge. The NIR CL could be conveniently performed in the neutral aqueous medium (pH 7.0) with a quantum yield of 0.0155 Einstein/mol and was successfully employed for constructing a signal-off CL biosensor with ascorbic acid as the analyte as well as a signal-on CL biosensor for determining ascorbate oxidase, which indicates that this NIR CL system has a promising potential for bioassays in diverse ways.

Evaluation of Cell Surface Vimentin Positive Circulating Tumor Cells as a Diagnostic Biomarker for Lung Cancer

Background

Circulating tumor cells (CTCs) represent a collection of heterogeneous cells. Studies have shown epithelial CTCs and folate receptor (FR) positive CTCs could be used as diagnostic biomarkers for lung cancer (LC). This study aimed to determine whether cell surface vimentin (CSV) positive CTCs could be used as a biomarker for LC as well.

Methods

78 treatment-naïve non-small-cell lung cancer (NSCLC) patients, 21 patients with benign lung diseases (BLD) and 9 healthy donors (HD) were enrolled in this study. CTC detection was performed using CytoSorter^® mesenchymal CTC kit (CSV). The correlation between CSV positive CTCs (CSV-CTCs) and LC patients' clinicopathological characteristics would be evaluated, and diagnostic performances of CSV-CTCs and serum tumor markers for LC would be compared.

Results

CTC detection rates (average CTC count: range) in LC patients, patients with BLD and HD were 83.33% (2.47: 0-8), 47.62% (0.5: 0-3) and 0% (0: 0), respectively. CSV-CTCs could be used to differentiate LC patients from the patients with BLD and HD (P < 0.0001). CSV-CTCs were correlated with cancer stage, lymph node involvement and distant metastasis (P = 0.0062, 0.0014 and 0.0021, respectively). With a CTC cut-off value of 2, CSV-CTCs would have a sensitivity and specificity of 0.67 and 0.87, respectively, for diagnosing LC. CSV-CTC positive rates showed statistical differences among HD, BLD patients and LC patients at different cancer stages (P < 0.0001). Furthermore, CSV-CTC positive rates were positively correlated with tumor size, lymph node involvement and distant metastasis (P = 0.0163, 0.0196 and 0.03, respectively). CSV-CTCs had a better diagnostic performance than serum tumor makers, such as carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), cancer antigen 125 (CA125) and CA153.

Conclusion

When CTC cut-off is set to 2 CTCs per 7.5 mL of blood, CSV-CTCs can be considered as an acceptable biomarker for diagnosing LC with a sensitivity and specificity of 0.67 and 0.87, respectively.

Discovering Panel of Autoantibodies for Early Detection of Lung Cancer Based on Focused Protein Array

Substantial studies indicate that autoantibodies to tumor-associated antigens (TAAbs) arise in early stage of lung cancer (LC). However, since single TAAbs as non-invasive biomarkers reveal low diagnostic performances, a panel approach is needed to provide more clues for early detection of LC. In the present research, potential TAAbs were screened in 150 serum samples by focused protein array based on 154 proteins encoded by cancer driver genes. Indirect enzyme-linked immunosorbent assay (ELISA) was used to verify and validate TAAbs in two independent datasets with 1,054 participants (310 in verification cohort, 744 in validation cohort). In both verification and validation cohorts, eight TAAbs were higher in serum of LC patients compared with normal controls. Moreover, diagnostic models were built and evaluated in the training set and the test set of validation cohort by six data mining methods. In contrast to the other five models, the decision tree (DT) model containing seven TAAbs (TP53, NPM1, FGFR2, PIK3CA, GNA11, HIST1H3B, and TSC1), built in the training set, yielded the highest diagnostic value with the area under the receiver operating characteristic curve (AUC) of 0.897, the sensitivity of 94.4% and the specificity of 84.9%. The model was further assessed in the test set and exhibited an AUC of 0.838 with the sensitivity of 89.4% and the specificity of 78.2%. Interestingly, the accuracies of this model in both early and advanced stage were close to 90%, much more effective than that of single TAAbs. Protein array based on cancer driver genes is effective in screening and discovering potential TAAbs of LC. The TAAbs panel with TP53, NPM1, FGFR2, PIK3CA, GNA11, HIST1H3B, and TSC1 is excellent in early detection of LC, and they might be new target in LC immunotherapy.

Epidemiology and prognosis in young lung cancer patients aged under 45 years old in northern China

To explore the epidemiological characteristics and prognosis of lung cancer in patients aged under 45 years old in northern China. The population-based database about lung cancer cases aged under 45y selected form the Hebei Provincial Cancer Registry Center from 2010-2015. Mortality data of young death from 1973 to 1975, 1990 to 1992, and 2004 to 2005 were extracted from the national retrospective survey of death. Mortality rates were calculated by the mortality database above in this analysis. Consecutive, 954 non-selected younger patients (< 45 years) and 2261 selected older patients (≥ 45 years) with pathologically diagnosed lung cancer treated at the Fourth Hospital of Hebei Medical University were included as the hospital-based database. Epidemiological, treatment outcomes and prognosis status from 2010 to 2017 were documented. A comparison with younger and older patients was also made. Multivariate analysis with young lung cancer patients was calculated by Cox regression model. The younger lung cancer mortality rate tended to slightly increase in Hebei Province, from 1.04 per100 000 in 1973 to 2.01 per 100 000 in 2015, but the PDR tended to decrease over the last 40 years. There were 954 younger and 2261 older lung cancer patients included in the hospital-based database. The proportions of patients who were female (50.84% vs 34.85%), family history of cancer (12.37% vs 6.32%), advanced stage at diagnosis (65.46% vs 60.77%) and adenocarcinoma (65.27% vs 61.11%) were relatively higher in the younger group than in the older group. The median OS were 23.0 months and 27.0 months between younger and older, the OS difference existed between the two groups (P = 0.001). In the younger patients, Cox regression showed that a family history of cancer, symptoms at diagnosis, pathology, stage at diagnosis and surgery were confirmed as independent factors affecting the prognosis. Mortality rates among younger lung cancer patients showed an increasing trend in northern China. The younger account for small but have unique characteristics, with higher proportions of female, family history of cancer, adenocarcinoma and advanced stages than the older group and had a trend of worse OS.

Identification of Novel Autoantibodies Based on the Human Proteomic Chips and Evaluation of Their Performance in the Detection of Gastric Cancer

Autoantibodies against tumor-associated antigens (TAAbs) can be used as potential biomarkers in the detection of cancer. Our study aims to identify novel TAAbs for gastric cancer (GC) based on human proteomic chips and construct a diagnostic model to distinguish GC from healthy controls (HCs) based on serum TAAbs. The human proteomic chips were used to screen the candidate TAAbs. Enzyme-linked immunosorbent assay (ELISA) was used to verify and validate the titer of the candidate TAAbs in the verification cohort (80 GC cases and 80 HCs) and validation cohort (192 GC cases, 128 benign gastric disease cases, and 192 HCs), respectively. Then, the diagnostic model was established by Logistic regression analysis based on OD values of candidate autoantibodies with diagnostic value. Eleven candidate TAAbs were identified, including autoantibodies against INPP5A, F8, NRAS, MFGE8, PTP4A1, RRAS2, RGS4, RHOG, SRARP, RAC1, and TMEM243 by proteomic chips. The titer of autoantibodies against INPP5A, F8, NRAS, MFGE8, PTP4A1, and RRAS2 were significantly higher in GC cases while the titer of autoantibodies against RGS4, RHOG, SRARP, RAC1, and TMEM243 showed no difference in the verification group. Next, six potential TAAbs were validated in the validation cohort. The titer of autoantibodies against F8, NRAS, MFGE8, RRAS2, and PTP4A1 was significantly higher in GC cases. Finally, an optimal prediction model with four TAAbs (anti-NRAS, anti-MFGE8, anti-PTP4A1, and anti-RRAS2) showed an optimal diagnostic performance of GC with AUC of 0.87 in the training group and 0.83 in the testing group. The proteomic chip approach is a feasible method to identify TAAbs for the detection of cancer. Moreover, the panel consisting of anti-NRAS, anti-MFGE8, anti-PTP4A1, and anti-RRAS2 may be useful to distinguish GC cases from HCs.

Association of circulating Progesterone Receptor Membrane Component-1 (PGRMC1) with breast tumor characteristics and comparison with known tumor markers

OBJECTIVES

Progesterone receptor membrane component-1 (PGRMC1) expressed in breast cancer tissue has been suggested to predict a worse prognosis. The aim of this study was to assess for the first time if blood concentrations of PGRMC1 are also associated with receptor status, tumor diameter, grading, and lymphatic status. The second aim was comparison with known tumor markers.

METHODS

A total of 372 women, including 278 patients with invasive breast cancer, 65 with benign breast disease, and 29 healthy women (control), were recruited. PGRMC1 blood concentrations were measured by a recently developed enzyme-linked immunosorbant assay, and were correlated to predictive tumor characteristics and compared with serum carcinoembryonic antigen (CEA), CA125, and CA153.

RESULTS

PGRMC1 levels in the cancer group were significantly higher than in the control and benign group and increased with higher cancer stages (P < 0.05). PGRMC1 concentrations in the estrogen receptor (ER)+/progesterone receptor (PR)+ group were higher than in the ER-/PR- group, related to larger tumor diameter and the presence of lymph node metastasis (P < 0.05). Multivariable linear regression analysis was used to control the confounding factors. Tumor diameter, lymphatic metastasis, and ER (but not PR) were positively associated with PGRMC1 (P < 0.05). The receiver-operating characteristic curve (ROC) analysis was used to assess area under the curve (AUC). AUC was 87.9% for stages III+IV and 80.8% for stages I+II (P < 0.01). ROC did not find significant effects on AUC for CA125, only significant for CEA and CA153 for stages III+IV.

CONCLUSION

As PGRMC1 levels are positively associated with breast tumor characteristics known to predict a worse diagnosis, PGRMC1 may be valuable as a new tumor marker, and superior to CEA, C125, and CA153. Because of the positive association with ER-expression, PGRMC1 may interact with this receptor.

Emission Wavelength Switchable Carbon Dots Combined with Biomimetic Inorganic Nanozymes for a Two-Photon Fluorescence Immunoassay

In this work, o-phenylenediamine is utilized as a precursor to synthesize the fluorescent emission wavelength switchable carbon dots (o-CDs). Our investigation reveals that ferrous ions (Fe²⁺) can effectively induce fluorescence quenching of o-CDs by chelation and aggregation. After the addition of hydrogen peroxide (H₂O₂), the fluorescence of o-CDs recovers and the fluorescent color changes from yellow to green. As far as we know, o-CDs are the first reported CDs with switchable fluorescence emission wavelength. In order to fabricate an enzyme-free immunosensor, an amino-functionalized dendritic mesoporous silica nanoparticle (DMSN)-gold nanoparticle (Au NP) nanostructure was fabricated as a glucose oxidase mimetic nanoenzyme by in situ coating of the Au NPs on the surface of the DMSNs. Then, the functionalized DMSN-Au NPs were modified on the detection antibody and hydrolyzed with glucose to produce H₂O₂. This immune induced recognition strategy combines with the o-CDs+Fe²⁺ signal generation system to achieve specific and sensitive detection of the target. The replacement of glucose oxidase by DMSN-Au NPs not only reduces the cost but also provides significantly amplified signals due to DMSNs haing a high specific surface area. We show the detection of carcinoembryonic antigen (CEA) as an example target to evaluate the analytical figure of merits of the proposed strategy. Under the optimal conditions, two-photon-based o-CDs displayed excellent performances for CEA and the limit of detection as low as 74.5 pg/mL with a linear range from 0.1 to 80 ng/mL. The proposed fluorescent immunosensor provides an optional and potential scheme for low cost, high sensitivity, and versatile discovery of clinical biomarkers.

Functions of circular RNAs and their potential applications in gastric cancer

Introduction: In recent years, circular RNAs (circRNAs) have emerged in the field of RNA research and their biological functions are now being gradually identified. circRNAs are divided into three categories: exonic circular RNAs (ecircRNAs), exon-intron circular RNAs (EIciRNAs), and intronic circular RNAs (ciRNAs). The circular structure of circRNAs confers unique biological characteristics upon them, such as enhanced stability over linear RNAs.Areas covered: circRNAs function to competitively bind with microRNAs (miRNAs) and proteins, participate in protein coding, regulate transcription, and form pseudogenes after reverse transcription. In gastric cancer, the circRNA-miRNA-mRNA axis is the most studied mechanisms underlying gastric cancer occurrence and development. Some specific and sensitive circRNAs, such as hsa_circ_102958, hsa_circ_0000520, and hsa_circ_0001017 may have potential diagnostic potential in early-stage gastric cancer. Abnormal expression of some circRNAs, including circ-LMTK2, circ-PSMC3, and circ-DLST are associated with the development of gastric cancer. Other circRNAs, such as hsa_circ_0001368, circ-ZFR, and circ-ERBB2, may also play important roles in gastric cancer treatment.Expert opinion: Exploring the roles of circRNAs in gastric cancer occurrence and development will help us to elucidate the functions of circRNAs and develop potential tools for early diagnosis and effective treatment of gastric cancer.

The relationship of plasma fibrinogen with clinicopathological stages and tumor markers in patients with non-small cell lung cancer

Numerous studies have shown that the blood of cancer patients are generally in hypercoagulable statement. The aim of the present research is to study the relationships of plasma fibrinogen (Fbg) levels with clinicopathological stages (CS) and tumor markers of non-small cell lung cancer (NSCLC).Baseline information, plasma Fbg levels, CS, and expression level of tumor markers were collected from medical records retrospectively. Unitary linear regression was used to analyze the relationships between continuous variables and Fbg, and multiple linear regression was used to analyze the relationships between categorical variables and Fbg. National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology (Version 4) for NSCLC were adopted to evaluate CS.A total of 652 NSCLC patients were included. Compared with the females, male patients had higher mean plasma Fbg levels (P < .001). The later the N stages (P = .002), M stages (P = .002), and CS (P = .001) were, the higher the average plasma Fbg levels were. The levels of squamous cell carcinoma antigen (P = .001), carbohydrate antigen 125 (P = .041), and neuron-specific enolase (P < .001) were positively correlated with plasma Fbg concentration. The plasma level of Fbg in lung adenocarcinoma patients (P < .001) was the lowest, while that of lung squamous cell carcinoma patients (P < .001) was the highest in NSCLC patients.The plasma Fbg concentration is related to gender, CS, and tumor markers in patients with NSCLC.

Evaluation of the clinical application of multiple tumor marker protein chip in the diagnostic of lung cancer

BACKGROUND

The early diagnostic of lung cancer plays an important role in the prognosis of surgical treatment among lung cancer patients. To evaluate the clinical application of multi-tumor markers protein biochip in the diagnosis of lung cancer, 12 tumor markers were detected in patients with different stages of lung cancer.

METHODS

Serum CA125, CA19-9, Ferritin, CA15-3, CA242, CEA, AFP, NSE, PSA, f-PSA, HGH, and β-HGH were assessed in 506 patients, with 224 patients with lung cancer (including 123 cases of adenocarcinoma, 30 squamous cell carcinoma, 54 small-cell carcinoma, and 17 non classification), 159 patients with benign lung disease and 90 healthy people control by the C-12 multiple tumor protein-chip detective system.

RESULTS

The positive rate of C-12 (77.23%) in lung cancer was significantly higher than that of benign lung disease (13.84%) and healthy people (9.76%) (P < .01). In lung cancer, the positive rate of CA199, NSE, CEA, CA242, Ferritin, f-PSA, and CA125 were significantly higher than that of benign lung disease and healthy people. In adenocarcinoma, the positive rate of CA125 (73.53%) was significantly higher than that of squamous cell carcinoma (36.67%) and small-cell carcinoma (56.62%).

CONCLUSION

The C-12 multiple tumor protein-chip detective system has acceptable sensitivity in the diagnostic of lung cancer.