Biomarker In Cancer Patients Research Articles

Incidence of acute cardiovascular hospitalizations and association with hemodynamic biomarkers in cancer patients treated with Immune Checkpoint Inhibitor therapy

Abstract Background/Introduction Immune checkpoint inhibitors (ICI) have significantly improved outcomes for several malignancies. Despite these benefits, patients with cancer face an increased risk for the development of cardiovascular disease due to mutual risk factors, similar biological mechanisms, as well as cardiotoxic side effects of therapy. Therefore, there is a pressing need for effective risk stratification strategies. Purpose This study aimed to explore the association between NT-proBNP levels and the risk of acute cardiovascular hospitalizations and death in patients who receive ICI. Methods We used electronic health records of patients treated with ICI who had available baseline NT-proBNP levels at our hospital, a tertiary academic center, between January 2017 and July 2022. The primary outcome of interest was the composite of acute cardiovascular hospitalization or death. The associations between NT-proBNP and outcomes were analyzed using cox regression models adjusted for age, sex, serum creatinine, diabetes, HF, CAD, hypertension, AF, LDL-C, and CRP. Results In total, 550 patients (35% female, median age 65 yrs) were included in the study. The median NT-proBNP levels were 272 pg/mL (IQR 102-742 pg/mL) and 388 (71%) patients had NT-proBNP levels ≥125 pg/mL. During a median FU of 67 weeks, 190 patients (35%) died, and 103 CV hospitalizations occurred in 76 patients (14%). Compared with patients with NT-proBNP concentrations <125, those with NT-proBNP concentrations ≥125 pg/ml had significantly higher event rates of the combined endpoint (12-Month KM event rates: 38% vs 21%, P<0.001). After multivariable adjustment, NT-proBNP remained independently associated with an increased risk of cardiovascular hospitalization and death (Adjusted HR for 1-SD increase in log-transformed biomarker 1.64, 95% CI 1.24 to 2.14; Figure). Conclusion These data highlight NT-proBNP levels as a valuable marker for identifying patients at increased risk of cardiovascular complications during ICI therapy.

Characterization of the Biological Variability of the Angiome Biomarkers over Time in Healthy Subjects.

Biomarker analyses are an integral part of cancer research. Despite the intense efforts to identify and characterize biomarkers in cancer patients, little is known regarding the natural variation of biomarkers in healthy populations. Here we conducted a clinical study to evaluate the natural variability of biomarkers over time in healthy participants. The angiome multiplex array, a panel of 25 circulating protein biomarkers, was assessed in 28 healthy participants across 8 timepoints over the span of 60 days. We utilized the intraclass correlation coefficient (ICC) to quantify the reliability of the biomarkers. Adjusted ICC values were calculated under the framework of a linear mixed-effects model, taking into consideration age, sex, body mass index (BMI), fasting status, and sampling factors. ICC was calculated to determine the reliability of each biomarker. HGF was the most stable marker (ICC=0.973), while PDGF-BB was the most variable marker (ICC=0.167). In total, ICC analyses revealed that 22 out of 25 measured biomarkers display good (≥0.4) to excellent (>0.75) ICC values. Three markers (PDGF-BB, TGF-1, PDGF-AA) had ICC values <0.4. Greater age was associated with higher IL-6 (p=0.0114). Higher BMI was associated with higher levels of IL-6 (p=0.0003) and VEGF-R3 (p=0.0045). Of the 25 protein biomarkers measured over this short time period, 22 markers were found to have good or excellent ICC values, providing additional validation for this biomarker assay. This data further supports the validation of the angiome biomarker assay and its application as an integrated biomarker in clinical trial testing.

Stem-like exhausted CD8 T cells in pleural effusions predict improved survival in non-small cell lung cancer (NSCLC) and mesothelioma.

Anti-tumor CD8 T cells are important for immunity but can become 'exhausted' and hence ineffective. Tumor-infiltrating exhausted CD8+ T cells include less differentiated stem-like exhausted T (Texstem) cells and terminally exhausted T (Texterm) cells. Both subsets have been proposed as prognostic biomarkers in cancer patients. In this study, we retrospectively investigated their prognostic significance in patients with metastatic non-small cell lung cancer (NSCLC) and validated our findings in a mesothelioma cohort. Pre-treatment malignant pleural effusions (PEs) from 43 NSCLC (41 non-squamous, 2 squamous) patients were analyzed by flow cytometry. The percentages of Texstem and Texterm CD8 T cells were correlated with overall survival (OS) after adjusting for clinicopathological variables. Findings were validated using a mesothelioma cohort (n=49). Mass cytometry was performed on 16 pre-treatment PE samples from 5 mesothelioma and 3 NSCLC patients for T-cell phenotyping. Single-cell multi-omics analysis was performed on 4 pre-treatment PE samples from 2 NSCLC patients and 2 mesothelioma patients for analysis of the transcriptomic profiles, surface markers and T cell receptor (TCR) repertoire. Higher frequency of Texstem was associated with significantly increased OS [median 9.9 vs. 3.4 months, hazard ratio (HR) 0.36, 95% CI: 0.16-0.79, P=0.01]. The frequency of Texterm was not associated with OS. These findings were validated in the mesothelioma cohort (high vs. low Texstem, median OS 32.1 vs. 19.8 months, HR 0.31, 95% CI: 0.10-0.96, P=0.04). Detailed single-cell sequencing and mass cytometry profiling revealed that exhausted T cells from NSCLC expressed greater stem-likeness and less inhibitory markers than those from mesothelioma and that Texstem cells also contained 'bystander' virus-specific T cells. This study demonstrates that PE CD8 Texstem cell abundance is associated with better survival outcomes, and thus may be a useful prognostic biomarker.

Investigating the Co-Expression Rate of HER2 and HER3 Biomarkers in Cancer Patients: A Systematic Review and Meta-Analysis.

Many types of cancer express the HER2/HER3 heterodimer, which is a crucial oncogenic unit. Research has shown that when these two biomarkers are expressed together, it correlates with higher tumor aggressiveness and lower overall survival rate. Therefore, many therapies have been developed to target both biomarkers simultaneously. This study aims to collect data on the co-expression levels of these biomarkers across different types of cancers. A comprehensive search was conducted across PubMed, Scopus, Embase, and Web of Science databases to identify relevant studies. The event rates and their corresponding 95% confidence intervals were calculated. Heterogeneity, subgroup, and meta-regression analyses were conducted based on patients' residency region, age, and gender. The protocol of this study was registered in PROSPERO under ID: CRD42024504256. We have detected 60 studies that met all of the inclusion criteria for our research. Out of these, we have focused on a total of 19 studies (with 6,079 participants) related to breast cancer, 9 studies (with 829 participants) related to lung cancer, 6 studies (with 1423 participants) related to gastric cancer, and 4 studies (with 802 participants) related to colorectal cancer for conducting our meta-analysis. According to our results, the co-expression rate of HER2 and HER3 in breast cancer patients is 18.5% (95%CI 11.7-27.9), in colorectal cancer patients is 17.1% (95%CI 2.4-63.4), in gastric cancer patients is 11.3% (95%CI 4.2-17.2), and in lung cancer patients is 12.7% (95%CI 5.2-22.8). The co-expression of HER2 and HER3 in lung cancer has a significant association with patients' gender (P=0.038). The study found that HER2 and HER3 biomarkers, which are targets for different therapies, are co-expressed in various types of cancer.

BCAM (basal cell adhesion molecule) protein expression in different tumor populations

Basal Cell Adhesion Molecule (BCAM), a receptor for laminin subunit α5, plays a crucial role in the pathogenesis of various malignancies. Notably, evidence of hypermethylation at multiple immune checkpoints in patients with low BCAM expression suggests these individuals may respond favorably to immunotherapy using ICIs (immune checkpoint inhibitors). This finding lays the foundation for the hypothesis that BCAM may serve as an important biomarker in cancer patients. To investigate this potential, we evaluated BCAM expression patterns in 3114 patients from both discovery and validation cohorts, spanning seven cancer types, using quantitative immunofluorescence (QIF). We also explored the correlation between BCAM and PD-L1 expressions within these cohorts, aiming to establish its potential predictive value for immunotherapy response. Our findings indicate that BCAM was highly expressed in ovarian (79.2%) and lung (78.5%) tumors, with lower yet significant expression in breast (37.7%), head and neck (31.3%), and bladder-urothelial tumors (27.6%). Notably, high BCAM expression was associated with better OS in NSCLC. More importantly, BCAM expression did not correlate with PD-L1 protein expression in any of these tumors, highlighting its independent predictive potential. The widespread expression of BCAM across multiple tumor types, coupled with its lack of correlation with PD-L1 expression, highlights its potential as a predictive novel biomarker across various cancer types.

Relationship between Thought Style, Emotional Response, Post-Traumatic Growth (PTG), and Biomarkers in Cancer Patients.

(1) Introduction: Cancer diagnosis has been related to depression, anxiety, and distress, as well as to post-traumatic growth (PTG). One of the mediating variables for emotional response is thought style (rumination, cognitive avoidance, and cognitive engagement). (2) Aim: To identify the relationship between thought style and emotional responses to cancer. A secondary aim was to identify the relationship between emotional responses and inflammatory immunological biomarkers. (3) Method: A total of 115 patients with cancer were included in the study. Before initiating cancer treatment, patients were assessed using the Hospital Anxiety and Depression Scale (HADS), distress thermometer, and Post-Traumatic Growth Inventory (PTGI). Patients provided their most recent blood biometry. (4) Results: Rumination correlated with anxiety, depression, and distress. Cognitive avoidance correlated with PTG (-0.240) and distress (-0.209). Cognitive engagement correlated with PTG (0.393). Regarding thought style and biomarkers, a negative correlation was observed for absolute neutrophils with cognitive avoidance (-0.271) and rumination (0.305). Regarding biomarkers and emotional responses, there was a negative correlation between PTG and absolute lymphocytes (-0.291). There was also a correlation between PTG and neutrophils (0.357) and neutrophil-to-lymphocyte ratio (NLR) (0.295). (5) Conclusions: Thought style is related to the emotional response to a cancer diagnosis; rumination is related to depression, distress, and anxiety; and cognitive engagement is related to PTG. PTG is related to inflammation and immunological biomarkers.

Novel ultrasensitive automated kinetic exclusion assay for measurement of plasma levels of soluble PD-L1, the predictive and prognostic biomarker in cancer patients treated with immune checkpoint inhibitors

Recently, the blood plasma or serum levels of soluble programmed death protein 1 (PD-L1), but not tissue PD-L1 expression level, have been proposed as an effective predictive and prognostic biomarker in patients treated with immune checkpoint inhibitors for different types of cancers. The quantification of soluble PD-L1 in blood will provide a quick evaluation of patients’ immune status; however, the available assays have limitations in their sensitivity, reproducibility, and accuracy for use in clinical settings. To overcome these problems, this study was dedicated to developing an ultrasensitive automated flow-based kinetic exclusion assay (KinExA) for the accurate and precise measurement of soluble PD-L1 in plasma. The assay was developed with the assistance of KinExA™ 3200 biosensor. In this assay, PD-L1 in its calibrator or plasma sample solution was pre-equilibrated with anti-PD-L1 monoclonal antibody. The equilibrated mixture solution was then passed rapidly over PD-L1 protein that has been coated onto polymethylmethacrylate beads consolidated as a microcolumn in the observation cell of the KinExA™ biosensor. The free anti- PD-L1 antibody was bound to the immobilized PD-L1, however, the unbound molecules were removed from the beads microcolumn by flushing the system with phosphate-buffered saline. Fluorescein-labeled secondary antibody was passed rapidly over the beads, and the fluorescence signals were monitored during the flow of the labeled antibody through the beads. The calibration curve was generated by plotting the binding percentages as a function of PD-L1 concentrations in its sample solution. The working range of the assay with very a good correlation coefficient on a 4-parameter equation (r = 0.9992) was 0.5 − 100 pg mL─1. The assay limit of detection and quantitation were 0.15 and 0.5 pg mL─1, respectively. The recovery values of plasma-spiked PD-L1 were in the range of 96.4–104.3 % (±3.7–6.2 %). The precision of the assay was satisfactory; the values of the coefficient of variations did not exceed 6.2 % for both intra- and inter-day precision. The automated analysis by the proposed KinExA facilitates the processing of many specimens in clinical settings. The overall performance of the proposed KinExA is superior to the available assays for plasma levels of soluble PD-L1. The proposed assay is anticipated to have a great value in the measurement of PD-L1 where a more confident result is needed.

The prognostic role of circulating tumor DNA across breast cancer molecular subtypes: A systematic review and meta-analysis

ObjectiveCirculating tumor DNA (ctDNA) is increasingly being used as a potential prognostic biomarker in cancer patients. We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients throughout the whole treatment cycle. Materials and methodsPubMed, Web of Science, Embase, Cochrane Library, Scopus, and clinical trials.gov databases were searched from January 2016 to May 2022. The following search terms were used: ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma. Only studies written in English were included. The following pre-specified criteria should be met for inclusion: (i) original articles, conference abstracts, etc.; (ii) patients with breast cancer; (iii) ctDNA measurement; and (iv) clinical outcome data such as recurrence-free survival (RFS) and overall survival (OS). The random-effects model was preferred considering the potential heterogeneity across studies. The main outcomes are ctDNA detection rate and postoperative long-term outcomes (RFS and OS). ResultsA total of 24 studies were screened. At every measurement time, the ctDNA detection rate of the HR+ subgroup was similar to that of the HR- subgroup (P = 0.075; P = 0.458; P = 0.744; and P = 0.578), and the ctDNA detection rate of the HER2+ subgroup was similar to that of the HER2- subgroup (P = 0.805; P = 0.271; P = 0.807; and P = 0.703). In the HR+ subgroup, RFS and OS of ctDNA positive patients were similar to those of ctDNA negative patients (P = 0.589 and P = 0.110), while RFS and OS of the ctDNA positive group was significantly shorter than those of the ctDNA negative patients in the HR- subgroup (HR = 4.03, P < 0.001; HR = 3.21, P < 0.001). According to HER grouping, the results were the same as above. In the triple negative breast cancer (TNBC) subgroup, the RFS and OS of ctDNA-positive patients was significantly shorter than of the ctDNA negative patients before and after surgery. ConclusionsctDNA was more predictive of recurrence-free survival and overall survival in the HR- subgroup than in the HR+ subgroup, and the same result was showed in the HER2- subgroup vs. HER2+ subgroup. The prognosis of the TNBC subtype is closely related to ctDNA before and after surgery.

Chinese expert consensus on the analytical validation of tumor comprehensive genomic profiling next generation sequencing testing (2024 edition)

In hospital laboratories-developed testing is of great significance for the clinical testing products that has not been approved by the National Medical Product Administration and is urgently needed to meet clinical practice needs. With the development of cancer precision medicine in recent years, comprehensive genomic profiling (CGP) has become an important means and method for the detection of drug targets, precise molecular typing, and immunotherapy biomarkers in cancer patients. However, there is still a lack of unified understanding and consensus on clinical testing standards and application specifications for laboratory-developed testing in the hospitals. The Molecular Pathology Collaboration Group of the Cancer Experts Committee of the Chinese Anti-Cancer Association and the Molecular Pathology Group of the Pathology Branch of the Chinese Medical Association initiated the expert consensus on relevant specifications for analytical validation of CGP next-generation sequencing (NGS) testing in Chinese hospitals. Combined with domestic clinical practice, refer to domestic and foreign literatures, from the background of the laboratory-developed testing, analytical validation scenarios, evaluation indicators and variation ranges, sample types and quantities covered by analytical validation, clinical performance and drug efficacy determination, and site personnel for analytical validation, quality control, inter-laboratory quality evaluation and document management, etc. After the discussion by the expert group, 12 expert consensuses were formed to provide reference for the analytical validation and clinical application of tumor CGP NGS testing in Chinese hospitals, so as to promote the laboratory-developed testing applications in Chinese hospitals.

Detection of Early Myocardial Dysfunction by Imaging Biomarkers in Cancer Patients Undergoing Photon Beam vs. Proton Beam Radiotherapy: A Prospective Study.

1. Background: We sought to determine acute and subacute changes in cardiac function after proton beam (PBT) and photon beam (PhT) radiotherapy (RT) using conventional and two-dimensional speckle tracking echocardiography (2D-STE) in patients with malignant breast and thoracic tumors. 2. Methods: Between March 2016 and March 2017, 70 patients with breast or thoracic cancer were prospectively enrolled and underwent transthoracic echocardiography with comprehensive strain analysis at pretreatment, mid-treatment, end of treatment, and 3 months after RT. 3. Results: PBT was used to treat 44 patients; PhT 26 patients. Mean ± SD age was 55 ± 12 years; most patients (93%) were women. The median (interquartile range) of the mean heart dose was lower in the PBT than the PhT group (47 [27-79] vs. 217 [120-596] cGy, respectively; p < 0.001). Ejection fraction did not change in either group. Only the PhT group had reduced systolic tissue Doppler velocities at 3 months. 2D-STE showed changes in endocardial and epicardial longitudinal, radial, and circumferential early diastolic strain rate (SRe) in patients undergoing PhT (global longitudinal SRe, pretreatment vs. end of treatment (p = 0.04); global circumferential SRe, pretreatment vs. at 3-month follow-up (p = 0.003); global radial SRe, pretreatment vs. at 3-month follow-up (p = 0.02) for endocardial values). Epicardial strain values decreased significantly only in patients treated with PhT. Patients in the PhT group had a significant decrease in epicardial global longitudinal systolic strain rate (GLSRs) (epicardial GLSRs, at baseline vs. at end of treatment [p = 0.009]) and in GCSRe and GRSRe (epicardial GCSRe, at baseline vs. at 3-month follow-up (p = 0.02); epicardial GRSRe, at baseline vs. at 3-month follow-up (p = 0.03)) during treatment and follow-up. No changes on 2D-STE were detected in the PBT group. 4. Conclusions: Patients who underwent PhT but not PBT had reduced tissue Doppler velocities and SRe values during follow-up, suggesting early myocardial relaxation abnormalities. PBT shows promise as a cardiac-sparing RT technology.

The clinical significance and diagnostic value of serum Dickkopf1 and CKAP4 levels in patients with gastric cancer: a prospective study.

Gastric cancer is diagnosed at an advanced stage in most patients, and the prognosis is poor. Novel biochemical markers of high diagnostic value for the detection of the disease are therefore important. Dickkopf1 (DKK1) and cytoskeleton-associated protein 4 (CKAP4) have been extensively studied as biomarkers in cancer patients. Serum DKK1 and CKAP4 levels in 58 patients with gastric cancer and 41 healthy controls were examined using an ELISA kit in this prospective study. The patients were subdivided into groups based on pathological TNM staging and histological grades. Serum levels of both proteins in the patients with gastric cancer were measured preoperatively, 10 and 30 days after surgery. Serum DKK1 and CKAP4 levels were significantly higher in the gastric cancer group compared to the healthy controls (p<0.05). Serum levels of both proteins increased in line with the pathological stage and histological grade of the gastric cancer. Serum CKAP4 and DKK1 levels decreased after surgical resection. Both serum levels also decreased significantly on day 30 after surgery compared to day 10 (p<0.05). Serum carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) positivity rates were below 20% in the gastric cancer group, while the diagnostic value (sensitivity and specificity) of serum CKAP-4 and DKK1 exceeded 80%. DKK1 and CKAP4 are biomarkers of high diagnostic value that can be used to diagnose and predict the severity of gastric cancer. These proteins can also be employed for disease monitoring after surgical resection. The diagnostic value of these proteins is higher than that of biomarkers such as CEA and CA19-9, which are routinely used in clinical practice.

Key Roles of p53 Signaling Pathway-Related Factors GADD45B and SERPINE1 in the Occurrence and Development of Gastric Cancer.

p53 can function as an independent and unfavorable prognosis biomarker in cancer patients. We tried to identify the key factors of the p53 signaling pathway involved in gastric cancer (GC) occurrence and development based on the genotype-tissue expression (GTEx) and the Cancer Genome Atlas (TCGA) screening. We downloaded gene expression data and clinical data of GC included in the GTEx and TCGA databases, followed by differential analysis. Then, the key factors in the p53 signaling pathway were identified, followed by an analysis of the correlation between key factors and the prognosis of GC patients. Human GC cell lines were selected for in vitro cell experiments to verify the effects of key prognostic factors on the proliferation, migration, invasion, and apoptosis of GC cells. We found 4,944 significantly differentially expressed genes (DEGs), of which 2,465 were upregulated and 2,479 downregulated in GC. Then, 27 DEGs were found to be involved in the p53 signaling pathway. GADD45B and SERPINE1 genes were prognostic high-risk genes. The regression coefficients of GADD45B and SERPINE1 were positive. GADD45B was poorly expressed, while SERPINE1 was highly expressed in GC tissues, highlighting their prognostic role in GC. The in vitro cell experiments confirmed that overexpression of GADD45B or silencing of SERPINE1 could inhibit the proliferation, migration, and invasion and augment the apoptosis of GC cells. Collectively, the p53 signaling pathway-related factors GADD45B and SERPINE1 may be key genes that participate in the development of GC.

SLC1A5 is a novel biomarker associated with ferroptosis and the tumor microenvironment: a pancancer analysis.

Solute carrier family 1 member 5 (SLC1A5) is a member of the solute carrier (SLC) superfamily of transporters and plays an important role in tumors as a key transporter of glutamine into cells. However, the relationship between SLC1A5, which is involved in immune regulation, and immune cell infiltration in the tumor microenvironment has not been elucidated, and the relationship between SLC1A5 and ferroptosis is rarely reported. Therefore, we comprehensively analyzed the expression level of SLC1A5 across cancers and compared it with that in normal tissues. Then, the relationship between SLC1A5 expression and the tumor immune microenvironment was analyzed by single-cell analysis, gene set enrichment analysis (GSEA), and Tumor Immune Estimation Resource (TIMER). Next, the correlations of the SLC1A5 expression level with immunotherapy response, immunomodulator expression, tumor mutation burden (TMB) and microsatellite instability (MSI) were evaluated. Finally, in vitro experiments verified that SLC1A5 participates in ferroptosis of glioma cells to regulate tumor progression. Our results indicated that SLC1A5 is aberrantly expressed in most cancer types and closely associated with prognosis. The GSEA results showed that SLC1A5 is involved in immune activation processes and closely related to the infiltration levels of different immune cells in different cancer types. Upon further investigation, we found that SLC1A5 is a suppressor of ferroptosis in glioma, and SLC1A5 knockdown inhibited the proliferation and migration of glioma cells in vitro. In conclusion, we conducted a pancancer analysis of SLC1A5, demonstrated its role as a prognostic biomarker in cancer patients and explored its potential biological functions.

A high-sensitivity ELISA for detection of human FGF18 in culture supernatants from tumor cell lines

Fibroblast growth factor 18 (FGF18) is elevated in several human cancers, such as gastrointestinal and ovarian cancers, and stimulates the proliferation of tumor cells. This suggests that FGF18 may be a promising candidate biomarker in cancer patients. However, the lack of a high-sensitivity enzyme-linked immunosorbent assay (ELISA) does not permit testing of this possibility. In this study, we generated monoclonal antibodies against human FGF18 and developed a high-sensitivity ELISA to measure human FGF18 at concentrations as low as 10 pg/mL. Of the eight tumor cell lines investigated, we detected human FGF18 in culture supernatants from four tumor cell lines, including HeLa, OVCAR-3, BxPC-3, and SW620 cells, albeit the production levels were relatively low in the latter two cell lines. Moreover, the in-house ELISA could detect murine FGF18 in sera from mice overexpressing murine Fgf18 in hepatocytes, although the sensitivity in detecting murine FGF18 was relatively low. This FGF18 ELISA could be a valuable tool to validate FGF18 as a potential biomarker for cancer patients and to test the contribution of FGF18 for various disease models invivo and in vitro.

Circulating biomarkers in perioperative management of cancer patients

Abstract Owing to the advances in surgical technology, most solid tumours can be controlled by surgical excision. The priority should be tumour control, while some routine perioperative management might influence cancer progression in an unnoticed way. Moreover, it is increasingly recognized that effective perioperative management should include techniques to improve postoperative outcomes. These influences are elucidated by the different functions of circulating biomarkers in cancer patients. Here, circulating biomarkers with two types of clinical functions were reviewed: (i) circulating biomarkers for cancer progression monitoring, for instance, those related to cancer cell malignancy, tumour microenvironment formation, and early metastasis, and (ii) circulating biomarkers with relevance to postoperative outcomes, including systemic inflammation, immunosuppression, cognitive dysfunction, and pain management. This review aimed to provide new perspectives for the perioperative management of patients with cancer and highlight the potential clinical translation value of circulating biomarkers in improving outcomes.

Prognostic role of E2F1 gene expression in human cancer: a meta-analysis

ObjectiveE2F1 has been confirmed to be highly expressed in a variety of cancers. To better understand the prognostic value of E2F1 in cancer patients, this study was conducted to comprehensively evaluate the prognostic value of E2F1 in cancer according to published data.MethodPubMed, Web of Science and CNKI database were searched until May 31th, 2022 by using key words to retrieve the published essays on the role of E2F1 expression in the prognostic value of cancer. The essays were identified according to the inclusion and exclusion criteria. The pooled result of hazard ratio and 95% confidence interval was calculated with Stata17.0 software.ResultA total of 17 articles were included in this study involved in 4481 cancer patients. The pooled results showed that higher E2F1 expression was significantly correlated with unfavorable overall survival (HR = 1.10, I2 = 95.3%, *PHeterogeneity = 0.000) and disease-free survival (HR = 1.41, I2 = 95.2%, *PHeterogeneity = 0.000) of cancer patients. Such a significant association of was maintained subgroup of sample size of patients (> 150: for OS, HR = 1.77, and for DFS, HR = 0.91; or < 150: for OS, HR = 1.93, and for DFS, HR = 4.39), ethnicity (Asian: for OS, HR = 1.65, and for DFS, HR = 1.08; or not Asian: HR = 3.55, and for DFS, HR = 2.87), the data from database (clinical: for OS, HR = 1.24, and for DFS, HR = 1.40; or database: for OS, HR = 2.29, and for DFS, HR = 3.09), paper published year (after 2014: for OS, HR = 1.90;and for DFS,HR = 1.87; or before 2014: for OS, HR = 1.40, and for DFS, HR = 1.22); cancer type (female specific cancer: for OS, HR = 1.41, and for DFS, HR = 0.64; or non-gender specific cancers: for OS, HR = 2.00, and for DFS, HR = 2.95). In addition, according to the database data, we also found that higher E2F1 expression level would lead to worse prognosis of patients, and the results were consistent with the statistical analysis results in the paper.ConclusionE2F1 could be served as a prognostic biomarker in cancer patients and higher levels of in cancer patients could predict shorter overall survival and disease-free survival.

Effect of the preoperative prognostic nutritional index on the long-term prognosis in patients with borderline resectable pancreatic cancer after pancreaticoduodenectomy.

The preoperative prognostic nutritional index (PNI) is an indicator of systemic immune-nutritional condition and is a well-known prognostic biomarker in cancer patients. This study aims to reflect the correlation between the preoperative PNI and prognosis in patients with borderline resectable pancreatic cancer (BRPC) after pancreaticoduodenectomy (PD). Medical records of patients with BRPC after PD between Jan 2011 and Dec 2021 in our hospital were retrospectively analyzed. The preoperative PNI was calculated, and the receiver operating characteristic curve was obtained based on the preoperative PNI and the 1-year survival rate. Patients were divided into two groups (High-PNI and Low-PNI) following the best cut-off value of the preoperative PNI, and demographic and pathologic findings were compared between the two groups. Univariate and multivariate analysis were performed to identify risk factors in recurrence and long-term survival. The best cut-off value for the preoperative PNI was 44.6 (sensitivity: 62.46%; specificity: 83.33%; area under the curve: 0.724). Patients in the low-PNI group had significantly shorter recurrence-free survival (P=0.008) and overall survival (P=0.009). The preoperative PNI (P=0.009) and lymph node metastasis (P=0.04) were independent risk factors for tumor recurrence. The preoperative PNI (P=0.001), lymph node metastasis (P=0.04), neoadjuvant chemotherapy (P=0.04) were independent risk factors for long-term survival in patients. The preoperative PNI, lymph node metastasis, neoadjuvant chemotherapy were independent risk factors for recurrence and long-term survival in patients with BRPC. The preoperative PNI might be an indicator that can predict BRPC patients' recurrence and survival. Patients with high-PNI would benefit from neoadjuvant chemotherapy.

Hypoxic nasopharyngeal carcinoma-derived exosomal miR-455 increases vascular permeability by targeting ZO-1 to promote metastasis.

Nasopharyngeal carcinoma (NPC), the most frequent reason for treatment failure in head and neck tumors, has the greatest incidence of distant metastases. Increased vascular permeability facilitates metastasis. Exosomal microRNAs (miRNAs) have been implicated in the development of the premetastatic niche and are emerging as prospective biomarkers in cancer patients. We discovered that a higher level of miR-455 was connected to a larger propensity for NPC metastasis based on deep sequencing and RT-qPCR. We found that hypoxia promoted NPC exosomes release and increased miR-455 expression in a way that was hypoxia-inducible factor 1-alpha(HIF-1α) dependent. Exosomes from NPC cells with high levels of miR-455 were found to specifically target zonula occludens 1 (ZO-1), increasing the permeability of endothelial monolayers in vitro vascular permeability and transendothelial invasion experiments. Additional in vivo studies showed that zebrafish with sustained miR-455-overexpressing NPC cell xenografts displayed increased tumor cell mass throughout the body. In vivo, zebrafish vascular tight junctionintegrity was disrupted by exosomes produced by NPC cells with elevated miR-455 expression. Mice-bearing xenografts further supported the finding that exosomes containing miR-455 might reduce ZO-1 expression in addition to promote NPC cell growth. These findings suggest that in a hypoxic microenvironment, exosomal miR-455 released by NPC cells enhances vascular permeability and promotes metastasis by targeting ZO-1. The HIF-1α-miR-455-ZO-1 signaling pathway may be a promising predictor and potential therapeutic target for NPC with metastasis.

Importance of Germline and Somatic Alterations in Human MRE11, RAD50, and NBN Genes Coding for MRN Complex

The MRE11, RAD50, and NBN genes encode for the nuclear MRN protein complex, which senses the DNA double strand breaks and initiates the DNA repair. The MRN complex also participates in the activation of ATM kinase, which coordinates DNA repair with the p53-dependent cell cycle checkpoint arrest. Carriers of homozygous germline pathogenic variants in the MRN complex genes or compound heterozygotes develop phenotypically distinct rare autosomal recessive syndromes characterized by chromosomal instability and neurological symptoms. Heterozygous germline alterations in the MRN complex genes have been associated with a poorly-specified predisposition to various cancer types. Somatic alterations in the MRN complex genes may represent valuable predictive and prognostic biomarkers in cancer patients. MRN complex genes have been targeted in several next-generation sequencing panels for cancer and neurological disorders, but interpretation of the identified alterations is challenging due to the complexity of MRN complex function in the DNA damage response. In this review, we outline the structural characteristics of the MRE11, RAD50 and NBN proteins, the assembly and functions of the MRN complex from the perspective of clinical interpretation of germline and somatic alterations in the MRE11, RAD50 and NBN genes.

Finding miRNA–RNA Network Biomarkers for Predicting Metastasis and Prognosis in Cancer

Despite remarkable progress in cancer research and treatment over the past decades, cancer ranks as a leading cause of death worldwide. In particular, metastasis is the major cause of cancer deaths. After an extensive analysis of miRNAs and RNAs in tumor tissue samples, we derived miRNA-RNA pairs with substantially different correlations from those in normal tissue samples. Using the differential miRNA-RNA correlations, we constructed models for predicting metastasis. A comparison of our model to other models with the same data sets of solid cancer showed that our model is much better than the others in both lymph node metastasis and distant metastasis. The miRNA-RNA correlations were also used in finding prognostic network biomarkers in cancer patients. The results of our study showed that miRNA-RNA correlations and networks consisting of miRNA-RNA pairs were more powerful in predicting prognosis as well as metastasis. Our method and the biomarkers obtained using the method will be useful for predicting metastasis and prognosis, which in turn will help select treatment options for cancer patients and targets of anti-cancer drug discovery.