The early diagnosis and precise treatment of esophageal squamous cell carcinoma (ESCC) hold significant clinical value in improving patient survival rate. Current diagnostic methods for early-stage ESCC primarily rely on invasive procedures and endoscopy, which can cause discomfort and financial burden for patients. Therefore, non-invasive biomarkers with high sensitivity and specificity present a more suitable alternative for early tumor diagnosis. Tumor associated autoantibodies (TAAb), identified as potential biomarkers, have considerable clinical implications for the early diagnosis, treatment monitoring, and prognosis assessment of ESCC. Here in we aim to summarize recent research on ESCC-related autoantibodies, including their background, types and development, analyze the potential of those autoantibodies in clinical diagnosis, treatment monitoring, and prognosis assessment, and also discuss the limitations of existing research and future directions. The goal is to provide a theoretical foundation for the early diagnosis and personalized treatment of ESCC.
Humans ; Autoantibodies/immunology* ; Esophageal Neoplasms/therapy* ; Esophageal Squamous Cell Carcinoma/immunology* ; Biomarkers, Tumor/immunology* ; Prognosis ; Carcinoma, Squamous Cell/diagnosis* ; Animals

BACKGROUND: Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related deaths worldwide. Lung squamous cell carcinoma (LUSC) is an important pathological subtype of NSCLC. The complex immune escape mechanism limits the effectiveness of immunotherapy. Ficolin-3 (FCN3) is a crucial immunomodulatory molecule that regulates immune escape by remodeling the tumor microenvironment. However, the role of FCN3 in LUSC remains unclear. This study employed bioinformatics methods to analyze LUSC samples from The Cancer Genome Atlas (TCGA) database. The aim of this study was to explore the potential biological functions and prognostic significance of FCN3 in LUSC. METHODS: A pan-cancer analysis characterized the expression patterns and prognostic value of FCN3 across various cancer types. Simultaneously, the expression patterns of FCN3 in LUSC samples from the TCGA database and its relationship with prognosis were analyzed. The Nomogram model and somatic mutation analysis, differential expression analysis, correlation analysis, as well as Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were constructed to explore the potential mechanisms of FCN3. Additionally, immune infiltration analysis, immune escape score (TIDE), and correlation analysis of immune-related molecules were used to reveal the regulatory role of high FCN3 levels on immunity in LUSC. Furthermore, the correlation between FCN3 expression characteristics and drug sensitivity was evaluated. Finally, in vitro experiments verified the expression characteristics of FCN3 in LUSC. RESULTS: The expression level of FCN3 in LUSC tissues was significantly lower than that in normal tissues. Patients with high FCN3 expression in LUSC had a poorer prognosis compared to those with low expression. Different expression levels of FCN3 were associated with the abundance of immune cell infiltration and immune cell dysfunction. It was also linked to the expression of immune checkpoints, immune stimulatory molecules, major histocompatibility complex (MHC) class molecules, and chemotherapy drug sensitivity. CONCLUSIONS High expression of FCN3 in LUSC is associated with poor prognosis and is linked to immune cell infiltration, immune-related pathways, and immune-related molecules. FCN3 may be a potential prognostic marker and a new target for immunotherapy in LUSC.
Humans ; Lung Neoplasms/immunology* ; Immunotherapy ; Biomarkers, Tumor/metabolism* ; Prognosis ; Lectins/metabolism* ; Carcinoma, Squamous Cell/immunology* ; Ficolins ; Gene Expression Regulation, Neoplastic

The introduction of PD-1 blockades to chemotherapy and radiotherapy has shown promising outcomes in patients with nasopharyngeal carcinoma, but anti-PD-1 therapies are only effective in a small proportion of patients, indicating the need for reliable predictive biomarkers of benefit from immunotherapy. Here, we summarized recent advances in immunotherapy for nasopharyngeal carcinoma and studies on potential predictors that correlated with treatment response or long-term survival after immunotherapy, including biomarkers in both the tumor microenvironment and the tumor macroenvironment. Some of these biomarkers have been validated as truly predictive of immunotherapy benefit using cohorts from randomized controlled trials, while others still require further validation of their predictive value. We also summarized the challenges and future directions of biomarker studies, hopefully facilitating the development of predictive biomarkers for immunotherapy that can eventually enter clinical practice.
Humans ; Tumor Microenvironment/immunology* ; Nasopharyngeal Carcinoma/immunology* ; Immunotherapy/methods* ; Nasopharyngeal Neoplasms/immunology* ; Biomarkers, Tumor/metabolism* ; Immune Checkpoint Inhibitors/therapeutic use*

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

Prostate cancer is characterized by bone metastases and difficulty of objectively measuring disease burden. In this context, cell-free circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) quantitation and genomic profiling afford the ability to noninvasively and serially monitor the tumor. Recent data suggest that ctDNA and CTC quantitation are prognostic for survival. Indeed, CTC enumeration using the CellSearch^® platform is validated as a prognostic factor and warrants consideration as a stratification factor in randomized trials. Changes in quantities of CTCs using CellSearch also are prognostic and may be employed to detect a signal of activity of new agents. Molecular profiling of both CTCs and ctDNA for androgen receptor (AR) variants has been associated with outcomes in the setting of novel androgen inhibitors. Serial profiling to detect the evolution of new alterations may inform drug development and help develop precision medicine. The costs of these assays and the small quantities in which they are detectable in blood are a limitation, and novel platforms are required to address this challenge. The presence of multiple platforms to assay CTCs and ctDNA also warrants the consideration of a mechanism to allow comparison of data across platforms. Further validation and the continued development and standardization of these promising modalities will facilitate their adoption in the clinic.
Biomarkers, Tumor/blood* ; DNA, Neoplasm/blood* ; Humans ; Male ; Neoplastic Cells, Circulating/immunology* ; Prognosis ; Prostatic Neoplasms/pathology* ; Transcriptome

Characterization of the colon cancer immunome and its autoantibody signature from differentially-reactive antigens (DIRAGs) could provide insights into aberrant cellular mechanisms or enriched networks associated with diseases. The purpose of this study was to characterize the antibody profile of plasma samples from 32 colorectal cancer (CRC) patients and 32 controls using proteins isolated from 15,417 human cDNA expression clones on microarrays. 671 unique DIRAGs were identified and 632 were more highly reactive in CRC samples. Bioinformatics analyses reveal that compared to control samples, the immunoproteomic IgG profiling of CRC samples is mainly associated with cell death, survival, and proliferation pathways, especially proteins involved in EIF2 and mTOR signaling. Ribosomal proteins (e.g., RPL7, RPL22, and RPL27A) and CRC-related genes such as APC, AXIN1, E2F4, MSH2, PMS2, and TP53 were highly enriched. In addition, differential pathways were observed between the CRC and control samples. Furthermore, 103 DIRAGs were reported in the SEREX antigen database, demonstrating our ability to identify known and new reactive antigens. We also found an overlap of 7 antigens with 48 "CRC genes." These data indicate that immunomics profiling on protein microarrays is able to reveal the complexity of immune responses in cancerous diseases and faithfully reflects the underlying pathology.
Adult ; Aged ; Aged, 80 and over ; Biomarkers, Tumor ; genetics ; immunology ; metabolism ; Case-Control Studies ; Colonic Neoplasms ; immunology ; metabolism ; Computational Biology ; methods ; Computer Simulation ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Immunoglobulin G ; immunology ; Male ; Middle Aged ; Protein Array Analysis ; methods

OBJECTIVETo investigate the risk stratification of aggressive B cell lymphoma using the immune microenvironment and clinical factors.

METHODSA total of 127 patients with aggressive B cell lymphoma between 2014 and 2015 were enrolled in this study. CD4, Foxp3, CD8, CD68, CD163, PD-1, and PD-L1 expression levels were evaluated in paraffin-embedded lymphoma tissues to identify their roles in the risk stratification. Eleven factors were identified for further evaluation using analysis of variance, chi-square, and multinomial logistic regression analysis.

RESULTSSignificant differences in 11 factors (age, Ann Arbor stage, B symptom, ECOG performance status, infiltrating CD8+ T cells, PD-L1 expression, absolute blood monocyte count, serum lactate dehydrogenase, serum iron, serum albumin, and serum β2-microglobulin) were observed among patient groups stratified by at least two risk stratification methods [International Prognostic Index (IPI), revised IPI, and NCCN-IPI models] (P < 0.05). Concordance rates were high (81.4%-100.0%) when these factors were used for the risk stratification. No difference in the risk stratification results was observed with or without the Ann Arbor stage data.

CONCLUSIONWe developed a convenient and inexpensive tool for use in risk stratification of aggressive B cell lymphomas, although further studies on the role of immune microenvironmental factors are needed.

Adult ; Biomarkers, Tumor ; Gene Expression Regulation, Neoplastic ; immunology ; Humans ; Lymphoma, B-Cell ; classification ; pathology ; Prognosis ; Retrospective Studies ; Survival Analysis

No abstract available.
Aged ; Antigens, CD38/analysis ; Biomarkers, Tumor/analysis ; Biopsy ; Gastrointestinal Hemorrhage/diagnosis/*etiology/therapy ; Gastroscopy ; Hematemesis/etiology ; Humans ; Immunohistochemistry ; Male ; Melena/etiology ; Membrane Glycoproteins/analysis ; Multiple Myeloma/*complications/immunology/pathology/therapy ; Recurrence ; Stomach Neoplasms/*complications/immunology/pathology/therapy

BACKGROUND/AIMS: The purpose of this study was to determine the correlations between inflammatory factors-including absolute lymphocyte count, lactate dehydrogenase, beta2-microglobulin, albumin, C-reactive protein, and ferritin-and the prognosis for survival in patients with multiple myeloma (MM) treated with induction chemotherapy containing thalidomide and who underwent autologous stem cell transplantation (ASCT). METHODS: Data from patients at 13 university hospitals in South Korea were collected retrospectively between December 2005 and May 2013. RESULTS: The median age of the 232 patients was 57 years (range, 33 to 77) and the male to female ratio was 1.09:1. In the multivariate analysis, fewer than two combined abnormal inflammatory factors was the only independent prognostic factor for superior progression-free survival (relative risk [RR], 0.618; 95% confidence interval [CI], 0.409 to 0.933; p = 0.022), and platelet count > 100 x 109/L and fewer than two combined abnormal inflammatory factors were independent prognostic factors for superior overall survival (RR, 4.739; 95% CI, 1.897 to 11.839; p = 0.001 and RR, 0.263; 95% CI, 0.113 to 0.612; p = 0.002, respectively). CONCLUSIONS: Patients with two or more than two combined inflammatory factors who were treated with thalidomide induction chemotherapy and who underwent ASCT showed significantly shorter survival compared to those with fewer than two combined inflammatory factors. These results could be helpful for predicting prognosis in patients with MM.
Adult ; Aged ; Antineoplastic Agents/adverse effects/*therapeutic use ; Biomarkers, Tumor/*blood ; Chemotherapy, Adjuvant ; Disease-Free Survival ; Female ; Hospitals, University ; Humans ; Induction Chemotherapy ; Inflammation Mediators/*blood ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Multiple Myeloma/blood/diagnosis/*drug therapy/immunology/mortality ; Multivariate Analysis ; Neoadjuvant Therapy ; Odds Ratio ; Proportional Hazards Models ; Republic of Korea ; Retrospective Studies ; Risk Factors ; Stem Cell Transplantation ; Thalidomide/adverse effects/*therapeutic use ; Time Factors ; Transplantation, Autologous ; Treatment Outcome