Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China

Circular RNA (circRNA) is a novel class of single-stranded RNAs with a closed loop structure. The majority of circRNAs are formed by a back-splicing process in pre-mRNA splicing. Their expression is dynamically regulated and shows spatiotemporal patterns among cell types, tissues and developmental stages. CircRNAs have important biological functions in many physiological processes, and their aberrant expression is implicated in many human diseases. Due to their high stability, circRNAs are becoming promising biomarkers in many human diseases, such as cardiovascular diseases, autoimmune diseases and human cancers. In this review, we focus on the translational potential of using human blood circRNAs as liquid biopsy biomarkers for human diseases. We highlight their abundant expression, essential biological functions and significant correlations to human diseases in various components of peripheral blood, including whole blood, blood cells and extracellular vesicles. In addition, we summarize the current knowledge of blood circRNA biomarkers for disease diagnosis or prognosis.
Autoimmune Diseases/blood* ; Biomarkers, Tumor/blood* ; Cardiovascular Diseases/blood* ; Humans ; Liquid Biopsy ; Neoplasms/blood* ; RNA, Circular/blood* ; RNA, Neoplasm/blood*

OBJECTIVE: To observe the therapeutic effect of acupuncture on cancer-related fatigue (CRF) and to explore its possible mechanism. METHODS: A total of 80 patients with CRF were randomized into an observation group and a control group, and finally 67 patients completed the trial (36 patients in the observation group, 31 patients in the control group). Patients in the control group were treated with conventional chemoradiotherapy and symptomatic treatment, while no particular anti-fatigue intervention was adopted. On the basis of treatment in the control group, acupuncture was applied at Baihui (GV 20), Guanyuan (CV 4), Qihai (CV 6), Fengchi (GB 20), Zusanli (ST 36), Sanyinjiao (SP 6) in the observation group, once a day, 5 times as one course, with 2 days interval between each course, totally 4 courses were required. Before and after treatment, scores of functional assessment of cancer therapy-fatigue (FACT-F) in Chinese and McGill quality of life questionnaire (MQOL), serum levels of C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-α(TNF-α) and soluble TNF receptor-1 (sTNF-R1) were observed in the two groups. RESULTS: ①Compared before treatment, the FACT-F score was decreased after treatment in the observation group (<0.05), while there was no significant difference in the control group (<0.05). The change of the FACT-F score in the observation group was larger than that in the control group (<0.05). ②In the observation group, scores of physiological and psychological dimension were decreased (<0.05), score of social support dimension was increased after the treatment (<0.05). The score changes of physiological, psychological and social support dimension in the observation group were larger than those in the control group (all <0.05). ③After treatment, the serum levels of IL-6, TNF-α and sTNF-R1 were decreased in the observation group (<0.05), while the serum levels of CPR and IL-6 were increased in the control group (<0.05). The serum levels of CPR, IL-6 and TNF-α in the observation were lower than those in the control group (<0.05). CONCLUSION ①Acupuncture can improve the related symptoms of depression, weakness and headache in patients with CRF, strengthen their cognition of the support from society and family, and boost the confidence in curing the disease. ②Acupuncture can effectively down-regulate serum levels of the relative inflammatory factors, which may be its possible mechanism on treating CRF.
Acupuncture Points ; Acupuncture Therapy ; Biomarkers ; blood ; C-Reactive Protein ; analysis ; Fatigue ; etiology ; therapy ; Humans ; Interleukin-6 ; blood ; Neoplasms ; complications ; therapy ; Quality of Life ; Receptors, Tumor Necrosis Factor, Type I ; blood ; Tumor Necrosis Factor-alpha ; blood

Non-small cell lung cancer (NSCLC) accounts for about 85% of all lung cancer cases. The pathogenesis of NSCLC involves complex gene networks that include different types of non-coding RNAs, such as long non-coding RNAs (lncRNAs). The role of lncRNAs in NSCLC is gaining an increasing interest as their function is being explored in various human cancers. Recently, a new oncogenic lncRNA, LINC00152 (cytoskeleton regulator RNA (CYTOR)), has been identified in different tumor types. In NSCLC, the high expression of LINC00152 in tumor tissue and peripheral blood samples has been shown to be associated with worse prognoses of NSCLC patients. Overexpression of LINC00152 has been confirmed to promote the proliferation, invasion, and migration of NSCLC cells in vitro, as well as increase tumor growth in vivo. This review discusses the role of LINC00152 in NSCLC.
Apoptosis ; Biomarkers, Tumor/blood* ; Carcinoma, Non-Small-Cell Lung/radiotherapy* ; Cell Cycle Checkpoints ; Computational Biology ; Epithelial-Mesenchymal Transition ; Humans ; Lung Neoplasms/radiotherapy* ; Prognosis ; RNA, Long Noncoding/physiology* ; Radiation Tolerance

Immunotherapy has become the fourth cancer therapy after surgery, chemotherapy, and radiotherapy. In particular, immune checkpoint inhibitors are proved to be unprecedentedly in increasing the overall survival rates of patients with refractory cancers, such as advanced melanoma, non-small cell lung cancer, and renal cell carcinoma. However, inhibitor therapies are only effective in a small proportion of patients with problems, such as side effects and high costs. Therefore, doctors urgently need reliable predictive biomarkers for checkpoint inhibitor therapies to choose the optimal therapies. Here, we review the biomarkers that can serve as potential predictors of the outcomes of immune checkpoint inhibitor treatment, including tumor-specific profiles and tumor microenvironment evaluation and other factors.
Autoantibodies ; blood ; immunology ; Biomarkers, Tumor ; blood ; immunology ; Humans ; Immunotherapy ; Neoplasms ; blood ; therapy ; Tumor Microenvironment

Immune checkpoint inhibitors are a promising strategy in the treatment of cancer, especially advanced types. However, not all patients are responsive to immune checkpoint inhibitors. The response rate depends on the immune microenvironment, tumor mutational burden (TMB), expression level of immune checkpoint proteins, and molecular subtypes of cancers. Along with the Cancer Genome Project, various open access databases, including The Cancer Genome Atlas and Gene Expression Omnibus, provide large volumes of data, which allow researchers to explore responsive or resistant biomarkers of immune checkpoint inhibitors. In this review, we introduced some methodologies on database selection, biomarker screening, current progress of immune checkpoint blockade in solid tumor treatment, possible mechanisms of drug resistance, strategies of overcoming resistance, and indications for immune checkpoint inhibitor therapy.
Biomarkers, Tumor ; blood ; immunology ; Data Mining ; Drug Resistance, Neoplasm ; Humans ; Immunotherapy ; Mutation ; Neoplasms ; genetics ; therapy ; Tumor Microenvironment

Biomarkers for hepatocellular carcinoma (HCC) following curative resection are not currently sufficient for prognostic indication of overall survival (OS) and disease-free survival (DFS). The aim of this study was to investigate the prognostic performance of osteopontin (OPN), matrix metalloproteinase 7 (MMP7), and pregnancy specific glycoprotein 9 (PSG9) in patients with HCC. A total of 179 prospective patients with HCC provided plasma before hepatectomy. Plasma OPN, MMP7, and PSG9 levels were determined by enzyme-linked immunosorbent assay. Correlations between plasma levels, clinical parameters, and outcomes (OS and DFS) were overall analyzed. High OPN ( ⩾ 149.97 ng/mL), MMP7 ( ⩾ 2.28 ng/mL), and PSG9 ( ⩾ 45.59 ng/mL) were prognostic indicators of reduced OS (P < 0.001, P < 0.001, and P = 0.007, respectively). Plasma PSG9 protein level was an independent factor in predicting OS (P = 0.008) and DFS (P = 0.038). Plasma OPN + MMP7 + PSG9 elevation in combination was a prognostic factor for OS (P < 0.001). OPN was demonstrated to be a risk factorassociated OS in stage I patients with HCC and patients with low α-fetoprotein levels ( < 20 ng/mL). These findings suggested that OPN, MMP7, PSG9 and their combined panels may be useful for aiding in tumor recurrence and mortality risk prediction of patients with HCC, particularly in the early stage of HCC carcinogenesis.
Adult ; Aged ; Biomarkers, Tumor ; blood ; Carcinoma, Hepatocellular ; blood ; mortality ; Enzyme-Linked Immunosorbent Assay ; Female ; Hepatectomy ; Humans ; Liver Neoplasms ; blood ; mortality ; Male ; Matrix Metalloproteinase 7 ; blood ; Middle Aged ; Osteopontin ; blood ; Pregnancy-Specific beta 1-Glycoproteins ; analysis ; Prognosis ; Prospective Studies ; Risk Assessment ; Survival Analysis

OBJECTIVE: To screen potential plasma protein biomarkers for the progression of cervical precancerous lesions into cervical carcinoma and analyze their functions. METHODS: Plasma samples obtained from healthy control subjects, patients with low-grade squamous intraepithelial lesion (LSIL), high-grade squamous intraepithelial lesion (HSIL), cervical cancer (CC), and patients with CC after treatment were enriched for low-abundance proteins for liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The MS data of the samples were analyzed using Discoverer 2.2 software, and the differential proteins (peptide coverage ≥20%, unique peptides≥2) were screened by comparison of LSIL, HSIL and CC groups against the control group followed by verification using target proteomics technology. Protein function enrichment and coexpression analyses were carried out to explore the role of the differentially expressed proteins as potential biomarkers and their pathological mechanisms. RESULTS: Compared with the control group, both LSIL group and HSIL group showed 9 differential proteins; 5 differentially expressed proteins were identified in CC group. The proteins ORM2 and HPR showed obvious differential expressions in LSIL and HSIL groups compared with the control group, and could serve as potential biomarkers for the progression of cervical carcinoma. The expression of F9 increased consistently with the lesion progression from LSIL to HSIL and CC, suggesting its value as a potential biomarker for the progression of cervical cancer. CFI and AFM protein levels were obviously decreased in treated patients with CC compared with the patients before treatment, indicating their predictive value for the therapeutic efficacy. Protein function enrichment analysis showed that all these differentially expressed proteins were associated with the complement system and the coagulation cascades pathway. CONCLUSIONS We identified 5 new protein biomarkers (F9, CFI, AFM, HPR, and ORM2) for cervical precancerous lesions and for prognostic evaluation of CC, and combined detection of these biomarkers may help in the evaluation of the development and progression of CC and also in improving the diagnostic sensitivity and specificity of cervical lesions.
Antigens, Neoplasm ; blood ; Biomarkers, Tumor ; blood ; Carrier Proteins ; blood ; Case-Control Studies ; Cervical Intraepithelial Neoplasia ; blood ; diagnosis ; Chromatography, Liquid ; Complement Factor I ; analysis ; Early Detection of Cancer ; Female ; Glycoproteins ; blood ; Haptoglobins ; Humans ; Neoplasm Proteins ; blood ; Orosomucoid ; analysis ; Precancerous Conditions ; blood ; diagnosis ; Serum Albumin, Human ; Tandem Mass Spectrometry ; Uterine Cervical Neoplasms ; blood ; diagnosis

BACKGROUND: Mathematical predictive model is an effective method for preliminarily identifying the malignant pulmonary nodules. As the epidemiological trend of lung cancer changes, the detection rate of ground-glass-opacity (GGO) like early stage lung cancer is increasing rapidly, timely and proper clinical management can effectively improve the patients' prognosis. Our study aims to establish a novel predictive model of malignancy for non-solid pulmonary nodules, which would provide an objective evidence for invasive procedure and avoid unnecessary operation and the consequences. METHODS: We retrospectively analyzed the basic demographics, serum tumor markers and imaging features of 362 cases of non-solid pulmonary nodule from January 2013 to April 2018. All nodules received biopsy or surgical resection, and got pathological diagnosis. Cases were randomly divided into two groups. The modeling group was used for univariate analysis and logistic regression to determine independent risk factors and establish the predictive model. Data of the validation group was used to validate the predictive value and make a comparison with other models. RESULTS: Of the 362 cases with non-solid pulmonary nodule, 313 (86.5%) cases were diagnosed as AAH/AIS, MIA or invasive adenocarcinoma, 49 cases were diagnosed as benign lesions. Age, serum tumor markers CEA and Cyfra21-1, consolidation tumor ratio value, lobulation and calcification were identified as independent risk factors. The AUC value of the ROC curve was 0.894, the predictive sensitivity and specificity were 87.6%, 69.7%, the positive and negative predictive value were 94.8%, 46.9%. The validated predictive value is significantly better than that of the VA, Brock and GMUFH models. CONCLUSIONS Proved with high predictive sensitivity and positive predictive value, this novel model could help enable preliminarily screening of "high-risk" non-solid pulmonary nodules before biopsy or surgical excision, and minimize unnecessary invasive procedure. This model achieved preferable predictive value, might have great potential for clinical application.
Adenocarcinoma ; blood ; diagnosis ; surgery ; Adult ; Aged ; Biomarkers, Tumor ; blood ; Carcinoembryonic Antigen ; blood ; Female ; Humans ; Logistic Models ; Lung Neoplasms ; blood ; diagnosis ; surgery ; Male ; Middle Aged ; Models, Theoretical ; Multiple Pulmonary Nodules ; blood ; diagnosis ; surgery ; Prognosis ; ROC Curve ; Retrospective Studies

BACKGROUND: Non-small cell lung cancer (NSCLC) have the highest incidence of lung cancer which treatment principles are diagnosis and treatment as early as possible. Because of its insidious onset and lack of specific markers for early screening, most patients are at an advanced stage when diagnosed which results in a low 5-year survival rate and poor prognosis. Therefore Exploring a sensitive biomarker is the focus of current diagnosis and treatment of lung cancer. The aim of this study is to investigate the biological markers in serum of patients with I-IIb stage NSCLC by differential peptidomics analysis. METHODS: The serum peptidome was compared and analyzed among the groups of normal health controls, benign lung diseases and early stage NSCLC patients using a nano ultra-performance liquid chromatography combined with a quadrupole-orbitrap mass spectrometer. The differentially expressed polypeptides were identified and analyzed quantitatively to screen the tumor biomarkers for the early diagnosis of NSCLC patients. RESULTS: According to the Swiss-Prot database, a total of 545 polypeptides originated from 118 proteins were identified. The spectral numbers of serum polypeptides in each group were compared and a total of 201 polypeptides differentially expressed were found. Following a quantitative analysis of the above peptides, we found that there were 7 peptides with the coefficient of variation (CV) less than 30% and among them the peptide of QGAKIPKPEASFSPR from ITIH4 was down-regulated and the peptide of CDDYRLC from MGP was up-regulated in NSCLC group. CONCLUSIONS The tumor biomarkers obtained by serum peptidome technology can provide a new clue for early diagnosis of NSCLC and the specific peptides hydrolyzed from ITIH4 and MGP may be the serum biological markers for early NSCLC patients.
Adult ; Aged ; Amino Acid Sequence ; Biomarkers, Tumor ; blood ; chemistry ; Carcinoma, Non-Small-Cell Lung ; blood ; diagnosis ; Early Detection of Cancer ; Female ; Humans ; Lung ; pathology ; Lung Neoplasms ; blood ; diagnosis ; Male ; Middle Aged ; Neoplasm Staging ; Peptides ; blood ; chemistry ; Proteomics ; methods ; Sensitivity and Specificity ; Young Adult