In-Depth Serum Proteomics Reveals the Trajectory of Hallmarks of Cancer in Hepatitis B Virus-Related Liver Diseases.

Hepatocellular carcinoma (HCC) is a prevalent cancer in China, with chronic hepatitis B (CHB) and liver cirrhosis (LC) being high-risk factors for developing HCC. Here, we determined the serum proteomes (762 proteins) of 125 healthy controls and Hepatitis B virus-infected CHB, LC, and HCC patients and constructed the first cancerous trajectory of liver diseases. The results not only reveal that the majority of altered biological processes were involved in the hallmarks of cancer (inflammation, metastasis, metabolism, vasculature, and coagulation) but also identify potential therapeutic targets in cancerous pathways (i.e., IL17 signaling pathway). Notably, the biomarker panels for detecting HCC in CHB and LC high-risk populations were further developed using machine learning in two cohorts comprised of 200 samples (discovery cohort = 125 and validation cohort = 75). The protein signatures significantly improved the area under the receiver operating characteristic curve of HCC (CHB discovery and validation cohort = 0.953 and 0.891, respectively; LC discovery and validation cohort = 0.966 and 0.818, respectively) compared to using the traditional biomarker, alpha-fetoprotein, alone. Finally, selected biomarkers were validated with parallel reaction monitoring mass spectrometry in an additional cohort (n = 120). Altogether, our results provide fundamental insights into the continuous changes of cancer biology processes in liver diseases and identify candidate protein targets for early detection and intervention.

Angiogenic protein profiling, phytochemical screening and in silico anti-cancer targets validation of stem, leaves, fruit, and seeds of Calotropis procera in human liver and breast cancer cell lines.

The main focus of anticancer drug discovery is on developing medications that are gentle on normal cells and should have the ability to target multiple anti-cancer pathways. Liver cancer is becoming a worldwide epidemic due to the highest occurring and reoccurring rate in some countries. Calotropis procera is a xerophytic herbal plant growing wildly in Saudi Arabia. Due to its anti-angiogenic and anticancer capabilities, "C. procera" is a viable option for developing innovative anticancer medicines. However, no study has been done previously, to discover angiogenic and anti-cancer targets which are regulated by C. procera in liver cancer. In this study, leaves, stems, flowers, and seeds of C. procera were used to prepare crude extracts and were fractionated into four solvents of diverse polarities. These bioactivity-guided solvent fractions helped to identify useful compounds with minimal side effects. The phytoconstituents present in the leaves and stem were identified by GC-MS. In silico studies were done to predict the anti-cancer targets by major bioactive constituents present in leaves and stem extracts. A human angiogenesis antibody array was performed to profile novel angiogenic targets. The results from this study showed that C. procera extracts are an ideal anti-cancer remedy with minimum toxicity to normal cells as revealed by zebrafish in vivo toxicity screening assays. The novel antiangiogenic and anticancer targets identified in this study could be explored to design medication against liver cancer.

Uncovering the Depths of the Human Proteome: Antibody-based Technologies for Ultrasensitive Multiplexed Protein Detection and Quantification.

Probing the human proteome in tissues and biofluids such as plasma is attractive for biomarker and drug target discovery. Recent breakthroughs in multiplex, antibody-based, proteomics technologies now enable the simultaneous quantification of thousands of proteins at as low as sub fg/ml concentrations with remarkable dynamic ranges of up to 10-log. We herein provide a comprehensive guide to the methodologies, performance, technical comparisons, advantages, and disadvantages of established and emerging technologies for the multiplexed ultrasensitive measurement of proteins. Gaining holistic knowledge on these innovations is crucial for choosing the right multiplexed proteomics tool for applications at hand to critically complement traditional proteomics methods. This can bring researchers closer than ever before to elucidating the intricate inner workings and cross talk that spans multitude of proteins in disease mechanisms.

ß-Lapachone Exerts Anticancer Effects by Downregulating p53, Lys-Acetylated Proteins, TrkA, p38 MAPK, SOD1, Caspase-2, CD44 and NPM in Oxaliplatin-Resistant HCT116 Colorectal Cancer Cells.

ß-lapachone (ß-Lap), a topoisomerase inhibitor, is a naturally occurring ortho-naphthoquinone phytochemical and is involved in drug resistance mechanisms. Oxaliplatin (OxPt) is a commonly used chemotherapeutic drug for metastatic colorectal cancer, and OxPt-induced drug resistance remains to be solved to increase chances of successful therapy. To reveal the novel role of ß-Lap associated with OxPt resistance, 5 µM OxPt-resistant HCT116 cells (HCT116-OxPt-R) were generated and characterized via hematoxylin staining, a CCK-8 assay and Western blot analysis. HCT116-OxPt-R cells were shown to have OxPt-specific resistance, increased aggresomes, upregulated p53 and downregulated caspase-9 and XIAP. Through signaling explorer antibody array, nucleophosmin (NPM), CD37, Nkx-2.5, SOD1, H2B, calreticulin, p38 MAPK, caspase-2, cadherin-9, MMP23B, ACOT2, Lys-acetylated proteins, COL3A1, TrkA, MPS-1, CD44, ITGA5, claudin-3, parkin and ACTG2 were identified as OxPt-R-related proteins due to a more than two-fold alteration in protein status. Gene ontology analysis suggested that TrkA, Nkx-2.5 and SOD1 were related to certain aggresomes produced in HCT116-OxPt-R cells. Moreover, ß-Lap exerted more cytotoxicity and morphological changes in HCT116-OxPt-R cells than in HCT116 cells through the downregulation of p53, Lys-acetylated proteins, TrkA, p38 MAPK, SOD1, caspase-2, CD44 and NPM. Our results indicate that ß-Lap could be used as an alternative drug to overcome the upregulated p53-containing OxPt-R caused by various OxPt-containing chemotherapies.

Identification of Growth Factors, Cytokines and Mediators Regulated by Artemisia annua L. Polyphenols (pKAL) in HCT116 Colorectal Cancer Cells: TGF-ß1 and NGF-ß Attenuate pKAL-Induced Anticancer Effects via NF-κB p65 Upregulation.

The anticancer effects of natural phytochemicals are relevant to the modulation of cytokine signaling pathways in various cancer cells with stem-like properties as well as immune cells. The aim of this study was to elucidate a novel anticancer mechanism of Artemisia annua L. polyphenols (pKAL) involved in the regulation of growth factors, cytokines and mediators in stem-like HCT116 colorectal cancer cells. Through RayBiotech human L-1000 antibody array and bioinformatics analysis, we show here that pKAL-induced anticancer effects are associated with downregulation of growth factor and cytokine signaling proteins including TGFA, FGF16, PDGFC, CCL28, CXCR3, IRF6 and SMAD1. Notably, we found that TGF-ß signaling proteins such as GDF10, ENG and TGFBR2 and well-known survival proteins such as NGF-ß, VEGFD and insulin were significantly upregulated by pKAL. Moreover, the results of hematoxylin staining, cell viability assay and Western blot analysis demonstrated that TGF-ß1 and NGF-ß attenuated pKAL-induced anticancer effects by inhibiting pKAL-induced downregulation of caspase-8, NF-κB p65 and cyclin D1. These results suggest that certain survival mediators may be activated by pKAL through the TGF-ß1 and NGF-ß signaling pathways during pKAL-induced cell death and thus, strategies to inhibit the survival signaling are inevitably required for more effective anticancer effects of pKAL.

Epstein-Barr Virus-Based Nasopharyngeal Carcinoma (NPC) Risk Prediction Scores Are Elevated in NPC Multiplex Family Members in Taiwan.

Nasopharyngeal carcinoma (NPC) is caused by Epstein-Barr virus (EBV) and is more likely to occur in susceptible families. Whether genetic susceptibility operates through altered EBV control is incompletely understood. We used a NPC risk prediction model based on 14 EBV markers to compare risk score distribution in unaffected members from multiplex families with that in population-based controls. Despite the absence of NPC at the time of antibody measurement, we observed an upward shift in risk score among multiplex family members compared to the general population, consistent with the possibility that genetic factors affect NPC risk through alterations in EBV control.

Extremely Uniform Graphene Oxide Thin Film as a Universal Platform for One-Step Biomaterial Patterning.

Graphene oxide (GO) has proven to be a highly promising material across various biomedical research avenues, including cancer therapy and stem cell-based regenerative medicine. However, creating a uniform GO coating as a thin layer on desired substrates has been considered challenging owing to the intrinsic variability of the size and shape of GO. Herein, a new method is introduced that enables highly uniform GO thin film (UGTF) fabrication on various biocompatible substrates. By optimizing the composition of the GO suspension and preheating process to the substrates, the "coffee-ring effect" is significantly suppressed. After applying a special postsmoothing process referred to as the low-oxygen concentration and low electrical energy plasma (LOLP) treatment, GO is converted to small fragments with a film thickness of up to several nanometers (≈5.1 nm) and a height variation of only 0.6 nm, based on atomic force microscopy images. The uniform GO thin film can also be generated as periodic micropatterns on glass and polymer substrates, which are effective in one-step micropatterning of both antibodies and mouse melanoma cells (B16-F10). Therefore, it can be concluded that the developed UGTF is useful for various graphene-based biological applications.

Low serum indium levels induce expression disorders of some inflammatory factors.

OBJECTIVES: It has been reported that occupational exposure to indium compounds, including indium-tin oxide, can induce pulmonary inflammation resulting in serious indium lung disease. However, whether there is an early effect of indium exposure on inflammatory factor expression remains unclear. METHODS: Twenty indium-tin oxide processing workers and 15 healthy volunteers were recruited to measure serum indium levels, respiratory symptoms, pulmonary function, and serum inflammatory factor levels. RESULTS: Although low serum indium was detected in workers, lung abnormalities were not increased, compared with healthy population. However, serum G-CSF, IL-4, IL-5, TNF-alpha, and TNF-beta levels were significantly increased, while IL-16 and TIMP-1 were obviously down-regulated in indium-tin oxide processing workers. These inflammatory factor levels showed a significant correlation with serum indium levels. CONCLUSIONS: Basing on our findings, we speculate that low serum indium levels may induce inflammatory responses, which may be an adaptive response or may cause lung diseases. Therefore, further experiments or follow-up is needed. However, better safeguard procedures and indium exposure reduction should be considered in ITO industry.

proMAD: semiquantitative densitometric measurement of protein microarrays.

BACKGROUND: Protein microarrays are a versatile and widely used tool for analyzing complex protein mixtures. Membrane arrays utilize antibodies which are captured on a membrane to specifically immobilize several proteins of interest at once. Using detection antibodies, the bound protein-antibody-complex is converted into visual signals, which can be quantified using densitometry. The reliability of such densitometric assessments depends on a variety of factors, not only sample preparation and the choice of acquisition device but also the selected analysis software and the algorithms used for readout and processing data. Currently available software packages use a single image of a membrane at an optimal exposure time selected for that specific experimental framework. This selection is based on a user's best guess and is subject to inter-user variability or the acquisition device algorithm. With modern image acquisition systems proving the capacity to collect signal development over time, this information can be used to improve densitometric measurements. Here we introduce proMAD, a toolkit for protein microarray analysis providing a novel systemic approach for the quantification of membrane arrays based on the kinetics of the analytical reaction. RESULTS: Briefly, our toolkit ensures an exact membrane alignment, utilizing basic computer vision techniques. It also provides a stable method to estimate the background light level. Finally, we model the light production over time, utilizing the knowledge about the reaction kinetics of the underlying horseradish peroxidase-based signal detection method. CONCLUSION: proMAD incorporates the reaction kinetics of the enzyme to model the signal development over time for each membrane creating an individual, self-referencing concept. Variations of membranes within a given experimental set up can be accounted for, allowing for a better comparison of such. While the open-source library can be implemented in existing workflows and used for highly user-tailored analytic setups, the web application, on the other hand, provides easy platform-independent access to the core algorithm to a wide range of researchers. proMAD's inherent flexibility has the potential to cover a wide range of use-cases and enables the automation of data analytic tasks.

In-depth proteomics approach reveals novel biomarkers of cardiac remodelling after myocardial infarction: An exploratory analysis.

Cardiac remodelling following myocardial infarction (MI) is a maladaptive change associated with progressive heart failure and compromises long-term clinical outcome. A substantial proportion of patients afflicted by MI still develop adverse outcomes associated with cardiac remodelling. Therefore, it is crucial to identify biomarkers for the early prediction of cardiac remodelling. An in-depth proteomics approach, including both semi-quantitative and quantitative antibody arrays, was used to identify circulating biomarkers that may be associated with detrimental cardiac remodelling. Furthermore, statistical correlation analysis was performed between the candidate biomarkers and clinical cardiac remodelling data to demonstrate their clinical utility. A systematic proteomics approach revealed that sclerostin (SOST), growth differentiation factor-15 (GDF-15), urokinase-type plasminogen activator (uPA), and midkine (MK) were increased, while monocyte chemotactic protein-3 (MCP-3) was uniquely decreased in MI patients who developed cardiac remodelling, compared to MI patients who did not develop cardiac remodelling and healthy humen. Moreover, correlation analyses between serum proteomes and cardiac remodelling echocardiographic parameters demonstrated a moderate positive association between left ventricular end-diastolic volume index (LVEDVi) and the three serum proteins, uPA, MK and GDF-15 (P < .05, respectively), and a moderate negative correlation between LV ejection fraction (LVEF) and these serum proteins (P < .05, respectively). Importantly, uPA and MK were firstly identified to be associated with the development of cardiac remodelling. The present study contributes to a better understanding of the various cytokines expressed during adverse cardiac remodelling. The identified biomarkers may facilitate early identification of patients at high risk of ischaemic heart failure pending further confirmation through larger clinical trials.

Identification of eight-protein biosignature for diagnosis of tuberculosis.

BACKGROUND: Biomarker-based tests for diagnosing TB currently rely on detecting Mycobacterium tuberculosis (Mtb) antigen-specific cellular responses. While this approach can detect Mtb infection, it is not efficient in diagnosing TB, especially for patients who lack aetiological evidence of the disease. METHODS: We prospectively enrolled three cohorts for our study for a total of 630 subjects, including 160 individuals to screen protein biomarkers of TB, 368 individuals to establish and test the predictive model and 102 individuals for biomarker validation. Whole blood cultures were stimulated with pooled Mtb-peptides or mitogen, and 640 proteins within the culture supernatant were analysed simultaneously using an antibody-based array. Sixteen candidate biomarkers of TB identified during screening were then developed into a custom multiplexed antibody array for biomarker validation. RESULTS: A two-round screening strategy identified eight-protein biomarkers of TB: I-TAC, I-309, MIG, Granulysin, FAP, MEP1B, Furin and LYVE-1. The sensitivity and specificity of the eight-protein biosignature in diagnosing TB were determined for the training (n=276), test (n=92) and prediction (n=102) cohorts. The training cohort had a 100% specificity (95% CI 98% to 100%) and 100% sensitivity (95% CI 96% to 100%) using a random forest algorithm approach by cross-validation. In the test cohort, the specificity and sensitivity were 83% (95% CI 71% to 91%) and 76% (95% CI 56% to 90%), respectively. In the prediction cohort, the specificity was 84% (95% CI 74% to 92%) and the sensitivity was 75% (95% CI 57% to 89%). CONCLUSIONS: An eight-protein biosignature to diagnose TB in a high-burden TB clinical setting was identified.

Extensive serum biomarker analysis before and after treatment in healing of diabetic foot ulcers using a cytokine antibody array.

Diabetic foot ulcers (DFU) remain a serious public health problem. However, the current evaluation and confirmation of the efficacy of DFU is unclear. The present study aimed to measure the alterations of circulating proteins in patients after DFU healing for the exploration of the prognostic biomarkers. The serum cytokine profiles of DFU patients before and after treatment were analyzed by a human antibody microarray technology using diabetic patients and healthy population as control groups. The results showed that ten differential cytokines were associated with DFU healing. Among these ten cytokines, comparing to DFU group, nine ones (Jagged-1, CD14, Cathepsin S, Syndecan 4, MDC, TARC, Angiopoietin-4, Clusterin and HGFR) were significantly up-regulated in DFU-treated group and Follistatin-like 1 was significantly down-regulated, while their levels in DFU-treated group showed no significant differences from those in control groups. Furthermore, ELISA validation also showed that compares to DFU group four of ten (MDC, TARC, Clusterin, and Syndecan 4) were increased in DFU-treated group equal to the levels in control groups, consistent with the array results. Our finding shows that these four cytokines may have great potential for prognostic evaluation of DFU healing.

Extensive serum cytokine analysis in patients with prostate cancer.

Prostate cancer (CaP) is a common male malignancy. Using prostate specific antigen (PSA) and prostate cancer antigen 3 (PCA3) in the diagnosis of prostate cancer, sensitivity and specificity still require improvement. Additional targets are urgently needed for the diagnosis, prognosis, and prediction of therapeutic response, leading to better treatments in order to reduce the mortality of CaP. Here, we utilized a solid-phase antibody array, which can simultaneously detect 200 proteins, for the screening of novel blood-based biomarkers. The proteins differentially expressed in the pathogenesis of CaP were further analyzed using bioinformatics methods. The identified targets were further validated by the enzyme-linked immunosorbent assay (ELISA). A total of 38 proteins were identified with significantly differential levels in CaP serum compared to healthy control serum, including 21 up-regulated and 17 down-regulated cytokines. ELISA result showed that validated six ones of these differential cytokines were significantly differential between CaP and control, consistent with the antibody array result. The protein-protein interaction (PPI) analysis for these differentially expressed cytokines showed the top five cytokines interacting with most other cytokines were insulin, SDF-1a, CD40L, IL-18 and NCAM-1, suggesting these five targets are important in the pathogenesis of CaP, and more sensitive for the early diagnosis and prognosis of CaP. Targeting these cytokines may be more effective therapies against CaP. Among these differentially expressed cytokines, it was found that AR, BTC, IL-1 F8, IL-31, Marapsin, b-NGF, EDA-A2, MCP-3, MCP-4, MIP-3a, PIGF, and TECK decreased, while Fas, Flt-3L, and NCAM-1 increased in CaP when compared to the controls. Taken together, those 38 differentially expressed cytokines may service as novel serum biomarkers for CaP, which will be further validated with more clinical samples.

Serum biomarker analysis in patients with premature ovarian insufficiency.

Premature ovarian insufficiency (POI) is a primary ovarian defect characterized by premature depletion of ovarian follicles before 40 years of age. The disorder has been attributed to various causes, but the study of altered proteins in serum levels as the cause is rare. Additionally, identifying novel biomarkers can contribute to more accurate diagnosis or prognosis of POI. In the present study, a solid-phase antibody array simultaneously detecting multiple proteins was used to analyze POI serum with menopausal and healthy fertile subjects as control groups. As a result, compared to the menopause and healthy fertile groups, eleven proteins, including Neurturin, Frizzled-5, Serpin D1, MMP-7, ICAM-3, IL-17F, IFN-gamma R1, IL-29, IL-17R, IL-17C and Soggy-1, were uniquely down-regulated, and Afamin was particularly up-regulated in POI serum. More importantly, all of these factors were firstly found to be associated with POI in this study, suggesting that these proteins may participate in the pathogenesis of POI and may be novel serum biomarkers for POI.

Extensive serum biomarker analysis in patients with non-small-cell lung carcinoma.

Lung cancer is a common malignant disease, nearly 2.09 million new patients occurred last year. Approximately 85% of the patients are classified as non-small-cell lung cancer (NSCLC). It is therefore important to identify new diagnostic and prognostic biomarkers for the early detection of this disease. The presented study identifies biomarkers in the serum of NSCLC patients. The expression of 274 cytokines was measured by a novel antibody array methodology and ELISA was applied to validate the array results. The levels of MIP-1 α, IL-8, MIP-1 ß, Resistin, GDF-15, HGF, CA125, FLRG, VCAM-1, DKK-3, sTNF-R1, CTACK, Acrp30, CXCL-16 and LYVE-1 were significantly higher in serum from NSCLC patients, while the level of TIMP-2 and IGFBP-6 were lower. More importantly, the validation supported the result of the antibody array. The result of the antibody array indicates that these cytokines might be novel auxiliary biomarkers in the diagnosis and prognosis of NSCLC.

High-throughput transcriptional profiling combined with angiogenesis antibody array analysis in an orbital venous malformation cohort.

Orbital venous malformations (OVMs) are the most common benign orbital vascular disorders in adults and are characterized as enlarging encapsulated vascular neoplasms. These painless lesions grow slowly and become symptomatic with proptosis or visual disturbance. However, the pathogenic mechanism and diagnostic markers of OVMs remain poorly understood. To identify potential pathways involved in OVM formation, a cDNA microarray analysis was conducted with OVM samples and normal vascular tissues. These data were deposited in the National Omics Data Encyclopedia (NODE) database (accession number: OER033009). These pathway expression data were further confirmed by reverse transcription qPCR (RT-qPCR) in an OVM cohort. To explore the diagnostic markers in OVM, an angiogenesis antibody array was analyzed. The altered factors were further validated by enzyme-linked immunosorbent assay (ELISA) in the OVM cohort. Transcriptome screening revealed upregulated autophagy and VEGF pathways and downregulated Hippo, Wnt, hedgehog and vascular smooth muscle contraction signaling pathways in OVM samples. Furthermore, plasma EGF (p < 0.001) and Leptin (p < 0.01) levels were significantly elevated in OVM patients. Here, for the first time, we revealed the transcriptional background and plasma diagnostic markers in OVM, providing a novel understanding of OVM pathogenesis and facilitating the early diagnosis of OVM.

Role of serum matrix metalloproteinase in the diagnosis of gastric cancer.

OBJECTIVE: To determine the clinical value of a matrix metalloproteinase (MMP) antibody array in diagnosing gastric cancer (GC). METHODS: In this prospective study, serum samples of patients with GC (n=66) and non-neoplastic gastric disease (NGD; n=34) were collected between November 2017 and July 2018. The quantitative measurement of 10 MMP-related proteins was done using MMP arrays and compared between the two groups. RESULTS: The serum levels of MMPs 3, 8, 9 and tissue inhibitor of metalloproteinases (TIMPs) 1 and 2 were significantly higher in the GC group than in the NGD group (p<0.05). The area under curve (AUC) of the 10 MMP proteins for the diagnosis of GC varied between 0.500 and 0.658. The total AUC of all MMPs was 0.897 (95% CI: 0.837-0.957). The total AUC of the five MMPs (MMPs 3, 8, 9, and TIMPs 1 and 2) was 0.821 (95% CI: 0.733-0.909) for diagnosing GC. Also, the 10-factor and 5-factor predictive models had good diagnostic ability for early GC with an AUC of 0.865 (95% CI: 0.753-0.977) and 0.749 (95% CI: 0.600-0.898), respectively. CONCLUSIONS: The detection of multiple serum MMPs with protein biochip technology is promising to be used as a novel non-invasive tool for facilitating early diagnosis or screening of GC.

Extensive serum biomarker analysis in patients with nasopharyngeal carcinoma.

Nasopharyngeal carcinoma (NPC) is a fast-growing cancer characterized by high occurrences of nodal and distant metastases and poor prognosis. It is therefore important to identify new serum biomarkers for the early diagnosis and prognostic prediction of this disease. The present study identifies biomarkers in NPC patient serum using a solid-phase antibody array detecting the expression profiles of 174 cytokines in a single experiment. ELISA was performed to validate the array results. The levels of TIMP-2, SELL, CCL24, MMP-1, MMP-3, IGF-I and IL-8 were significantly higher in serum from NPC patients, while the levels of MSP-alpha and HCC-4 were lower. Furthermore, the validation results were identical to those obtained from the antibody array. These results indicate that these cytokines might serve as novel biomarkers for the diagnosis and prognostic prediction of NPC.

Serum cytokine profiles in patients with chronic obstructive pulmonary disease associated pulmonary hypertension identified using protein array.

Pulmonary hypertension (PH) is a common complication of chronic obstructive pulmonary disease (COPD) and is a significant risk factor for hospitalization and shortened life expectancy. Therefore, developing new serum biomarkers for early diagnosis and prognosis of COPD associated PH is crucial. In the present study, a solid-phase antibody array simultaneously detecting multiple proteins was used to search specific COPD associated PH biomarkers, with COPD patients and healthy subjects as control groups. As a result, compared to the COPD and healthy groups, the levels of MCP-4, SDF-1 alpha, CCL28, Adipsin, IL-28A, CD40 and AgRP were uniquely altered in COPD patient serum with pulmonary hypertension. Among these proteins, CCL28, MCP-4, CD40, AgRP and IL-28A were identified to be differentially expressed in COPD patients with hypertension, indicating that these cytokines may serve as novel biomarkers for the diagnosis and prognosis of COPD associated pulmonary hypertension.

New Insights into the Tumor Microenvironment Utilizing Protein Array Technology.

The tumor microenvironment (TME) is a considerably heterogeneous niche, which is created by tumor cells, the surrounding tumor stroma, blood vessels, infiltrating immune cells, and a variety of associated stromal cells. Intercellular communication within this niche is driven by soluble proteins synthesized by local tumor and stromal cells and include chemokines, growth factors, interferons, interleukins, and angiogenic factors. The interaction of tumor cells with their microenvironment is essential for tumorigenesis, tumor progression, growth, and metastasis, and resistance to drug therapy. Protein arrays enable the parallel detection of hundreds of proteins in a small amount of biological sample. Recent data have demonstrated that the application of protein arrays may yield valuable information regarding the structure and functional mechanisms of the TME. In this review, we will discuss protein array technologies and their applications in TME analysis to discern pathways involved in promoting the tumorigenic phenotype.