Stem cell factor and granulocyte-macrophage-colony stimulating factor as candidates for tumour markers for non-small-cell lung cancer

Biomarkers in the management of lung cancer: changing the practice of thoracic oncology

Lung cancer currently represents a leading cause of cancer death. Substantial progress achieved in the medical therapy of lung cancer during the last decade has been associated with the advent of targeted therapy, including immunotherapy. The targeted therapy has gradually shifted from drugs suppressing general mechanisms of tumor growth and progression to agents aiming at transforming mechanisms like driver mutations in a particular tumor. Knowledge of the molecular characteristics of a tumor has become an essential component of the more targeted therapeutic approach. There are specific challenges for biomarker determination in lung cancer, in particular a commonly limited size of tumor sample. Liquid biopsy is therefore of particular importance in the management of lung cancer. Laboratory medicine is an indispensable part of multidisciplinary management of lung cancer. Clinical Chemistry and Laboratory Medicine (CCLM) has played and will continue playing a major role in updating and spreading the knowledge in the field.

Auxiliary diagnosis of Lung Cancer on the basis of a Serum Protein Biomarker Panel

Objectives: In this study, we established a serum protein biomarker panel (consisting of Pro-SFTPB, CA125, Cyfra21-1, and CEA) and evaluated the feasibility and performance for the auxiliary diagnosis of lung cancer in the Chinese population.

Materials and Methods: The current study was a single-center study based on the Chinese population and performed in two cohorts (training cohort and validation cohort). Serum concentrations of Pro-SFTPB, CA125, Cyfra21-1, and CEA were measured by a bead-based flow fluorescence immunoassay. The discrimination performance of the model was assessed using sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC).

Results: For the biomarker panel model, the AUC was 0.88 (95% CI, 0.85-0.91) in the training cohort and 0.90 (95% CI, 0.86-0.92) in the validation data cohort, which was significantly greater than the AUC of each biomarker alone. For the nodule risk model, the AUC was improved to 0.96 (95% CI, 0.94-0.98) in the training cohort and 0.95 (95% CI, 0.93-0.97) in the validation cohort. In addition, the biomarker panel model yielded an AUC of 0.78 (95% CI, 0.74-0.81) for stage I & II lung cancer, better than the performance of individual biomarker alone.

Conclusions: It was demonstrated that 4-protein biomarker panel had a significant performance in identifying lung cancer patients from healthy controls, especially combining with the nodule size. Specifically, it yielded excellent discrimination for identifying early-stage lung cancer patients than individual biomarker alone. A future large-scale study is underway to further define the clinical application of this method for the early diagnosis of lung cancer among Chinese populations.

Circulating cell-free DNA as a diagnostic and prognostic biomarker for non-small-cell lung cancer: a systematic review and meta-analysis

Aim: A meta-analysis was conducted to assess the application of circulating cell-free DNA (cfDNA) in non-small-cell lung carcinoma (NSCLC) screening, EGFR and KRAS mutation detection. Materials & methods: A comprehensive literature search was conducted. The summary sensitivity and specificity for cfDNA in NSCLC diagnosis, EGFR and KRAS mutation detection were calculated. Results: The sensitivity and specificity for NSCLC diagnosis, EGFR and KRAS mutation detection were 0.80 (95% CI: 0.72-0.87) and 0.81 (95% CI: 0.68-0.91), 0.780 (95% CI: 0.711-0.853) and 0.962 (95% CI: 0.942-0.984), 0.628 (95% CI: 0.244-0.919) and 0.959 (95% CI: 0.932-0.998), respectively. Conclusion: cfDNA was a minimally invasive approach for NSCLC diagnosis, but its clinical utility warranted more future investigations because of the suboptimal sensitivity.

The Serum Profile of Hypercytokinemia Factors Identified in H7N9-Infected Patients can Predict Fatal Outcomes

The novel avian origin influenza A (H7N9) virus has caused severe diseases in humans in eastern China since the spring of 2013. Fatal outcomes of H7N9 infections are often attributed to the severe pneumonia and acute respiratory distress syndrome (ARDS). There is urgent need to discover biomarkers predicting the progression of disease and fatal outcome of potentially lethal flu infections, based on sound statistical analysis. We discovered that 34 of the 48 cytokines and chemokines examined in this study were significantly elevated in the plasma samples from patients infected with H7N9. We report for the first time that the levels of MIF, SCF, MCP-1, HGF, and SCGF-β are highly positively linked to disease severity and the profile of mediators MIF, SCF, MCP-1, HGF, SCGF-β, IP-10, IL-18, and IFN-γ is an independent outcome predictor.

Role of the hematopoietic cytokines SCF, IL-3, GM-CSF and M-CSF in the diagnosis of pancreatic and ampullary cancer

BACKGROUND

Previous studies have demonstrated altered levels of hematopoietic cytokines in the serum of patients with different types of cancer.

METHODS

We measured the serum levels of the hematopoietic cytokines stem cell factor (SCF), interleukin 3 (IL-3), macrophage-colony stimulating factor (M-CSF) and granulocyte-macrophage-colony stimulating factor (GM-CSF) in 40 pancreatic and ampullary cancer patients and 40 healthy volunteers, using ELISA. We also assessed the most widely used pancreatic tumor markers, carbohydrate antigen 19-9 (CA 19-9) and carcinoembryonic antigen (CEA), in both groups. We then correlated the concentrations of the cytokines' and the tumor markers in the patients' serum and we estimated their diagnostic ability by calculating diagnostic sensitivity and specificity, positive and negative predictive values and the receiver operating characteristic (ROC) curve.

RESULTS

The SCF and IL-3 levels were significantly lower and the M-CSF levels significantly higher in pancreatic cancer patients than in controls. There were significant positive correlations between the serum levels of CEA and M-CSF, GM-CSF and SCF, and between GM-CSF and IL-3. The area under the ROC curve and diagnostic sensitivity of M-CSF were greater than those of SCF and IL-3. The diagnostic sensitivity of the combined use of SCF and M-CSF reached 97.5%.

CONCLUSION

The diagnostic ability of M-CSF and SCF in pancreatic and ampullary cancer should stimulate further studies evaluating their clinical usefulness as tumor markers.

Tumor-platelet interaction in solid tumors

Elevated platelet counts in patients diagnosed with malignant tumors were first described more than 100 years ago. Today it is well known that in many types of solid tumors, thrombocytosis at the time of diagnosis is associated with shorter survival. From this well-documented clinical correlation between platelet count and prognosis of solid tumors, the following questions arise: (i) Are the increased platelet counts the reason for shortened survival as platelet-secreted cytokines might boost tumor growth and angiogenesis? (ii) Do platelets affect tumor metastasis thereby shortening survival time? or (iii) Are increased platelet counts simply an epiphenomenon of tumor growth with larger tumors resulting in higher platelet counts and shorter survival times? We address these three questions within our review of the current literature to provide a comprehensive overview of the current concepts in tumor-platelet interaction.

Synergistic effect of SCF and G-CSF on stem-like properties in prostate cancer cell lines

Bone marrow metastases are formed in the late phases of prostate cancer disease. Stem cell factor (SCF) and granulocyte colony-stimulating factor (G-CSF) are present in the microenvironment of the bone marrow and play a vital role in cell biology therein. The present study was to investigate the influence of SCF and G-CSF on stem-like properties in prostate cancer cell lines. Upon stimulation with SCF or G-CSF, higher levels of CD117, ABCG2, and CD44 were observed in PC-3 and DU145 cells examined by flow cytometry. Simultaneously, the expressions of Oct3/4 and Nanog were upregulated. Moreover, quantitative real-time PCR verified that the increased Nanog under the stimulations was mostly derived from NANOGP8. In parallel with the increasing expressions of these proteins, higher colony and sphere formation efficiencies were seen in these cells in response to the cytokine stimulations. Furthermore, a synergistic effect of SCF and G-CSF on colony and sphere formations and ABCG2 expression was disclosed. Our results indicate a favorable bone marrow niche for prostate cancer cells where higher levels of cell stemness are maintained at least partly by the cytokines SCF and G-CSF.

Value of quantitative analysis of circulating cell free DNA as a screening tool for lung cancer: a meta-analysis

OBJECTIVE

Quantitative analysis of circulating cell free DNA is considered as a possible aid for lung cancer screening. We aimed to comprehensively review the evidence for use of circulating cell free DNA to screen for lung cancer.

METHODS

After a systematic review of English language studies, sensitivity, specificity, and other measures of accuracy of circulating DNA assay in the diagnosis of lung cancer were pooled using random-effects models. Summary receiver operating characteristic curves were used to summarize overall test performance.

RESULTS

Ten studies met our inclusion criteria. The summary estimates for quantitative analysis of circulating cell free DNA in lung cancer screening in the studies included were as follows: sensitivity, 0.80 (95% confidence interval (CI), 0.77-0.83); specificity, 0.77 (95% CI, 0.74-0.80); positive likelihood ratio, 4.54 (95% CI, 2.66-7.76); negative likelihood ratio, 0.28 (95% CI, 0.19-0.40); and diagnostic odds ratio, 20.33 (95% CI, 10.12-40.86).

CONCLUSIONS

The current evidence suggests that the diagnostic accuracy of quantitative analysis of circulating DNA is not lower than conventional serum biomarkers for lung cancer screening, at least. However, it is not recommend for lung cancer screening alone, because its discrimination power is not very perfect. The value of circulating DNA assay in combination with conventional markers for lung cancer detection deserved further investigation.

Biomarker discovery in lung cancer--promises and challenges of clinical proteomics

Lung cancer is a devastating illness with an overall poor prognosis. To effectively address this disease, early detection and novel therapeutics are required. Early detection of lung cancer is challenging, in part because of the lack of adequate tumor biomarkers. The goal of this review is to summarize the knowledge of current biomarkers in lung cancer, with a focus on important serum biomarkers. The current knowledge on the known serum cytokines and tumor biomarkers of lung cancer will be presented. Emerging trends and new findings in the search for novel diagnostic and therapeutic tumor biomarkers using proteomics technologies and platforms are emphasized, including recent advances in mass spectrometry to facilitate tumor biomarker discovery program in lung cancer. It is our hope that validation of these new research platforms and technologies will result in improved early detection, prognostication, and finally the treatment of lung cancer with potential novel molecularly targeted therapeutics.

Tumor markers in detection of lung cancer

The expression of biomarkers by lung cancers is useful in the diagnosis and clinical management of patients with lung cancer. Biomarkers provide insight into histogenesis, interrelationships, and biological behavior of lung tumors. This chapter presents data on lung cancer detection, involving some of the most studied and interesting lung cancer biomarkers to date-CYFRA 21-1, NSE, ProGRP, SCC, CEA, Tumor M2-PK, as well as markers in clinical application such as CRP, LDH, tumor-suppressor genes and oncogenes, CA125, CgA, NCAM, and TPA. Biomarker profiles in combination with fuzzy logic techniques have also been addressed. Serum markers used alone or in combination with other indices might play an important role in monitoring response to therapy in early detection of tumor reactivation in new treatment strategies as well as in secondary prevention.

Stem cell factor (SCF) and interleukin 3 (IL-3) in the sera of patients with colorectal cancer

For a long time markers that can detect a malignant cell transformation as early as possible have been sought. Substances which have been discovered are known as tumor markers. Stem cell factor (SCF) and interleukin 3 (IL-3) are members of a group of glycoprotein growth factors called hematopoietic cytokines (HCs). These factors take part in the regulation of developmental processes of hematopoietic progenitor cells and it was proved that HCs can be produced by different cancer cells, including colorectal cancer. The aim of this study was to investigate a potential role for SCF and IL-3 as tumor markers for colorectal cancer. We compared the serum levels of SCF and IL-3 in colorectal cancer patients with those in healthy subjects (control group) and commonly accepted tumor markers, such as carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA 19-9). We defined the diagnostic sensitivity, specificity, positive predictive value, negative predictive value, and receiver-operating characteristics (ROC) curve of tested substances. SCF and IL-3 were determined using enzyme-linked immunosorbent assay (ELISA). CEA and CA 19-9 were measured by microparticle enzyme immunoassay. The serum levels of HCs and tumor markers were investigated in 75 patients with colorectal cancer and in 40 healthy subjects. There were significant differences in the level of circulating SCF and IL-3 in the colorectal cancer patients compared to the control group. Moreover, the diagnostic sensitivity of SCF was higher than the sensitivity of CEA and CA 19-9. The SCF area under the ROC curve was larger than the IL-3 area but smaller than the CEA and CA 19-9 areas. The diagnostic specificities of cytokines were lower than those of tumor markers, but the combined use of cytokines and tumor markers increased the diagnostic values. The highest values of diagnostic parameters were observed for the combined use of SCF and CA 19-9. These results suggest a potential role for SCF and IL-3 as tumor markers for colorectal cancer, especially in combination with CEA or CA 19-9.

Stem cell factor and macrophage-colony stimulating factor in patients with pancreatic cancer

Stem cell factor (SCF) and macrophage-colony stimulating factor (M-CSF) have assumed an increasing importance in cancer biology. In the present study we investigated the serum levels of these cytokines in pancreatic cancer patients in relation to controls and to patients with benign lesions of the pancreas (chronic pancreatitis group). The classical tumor markers, such as carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA 19-9) were also tested. We compared the serum levels of cytokines with tumor stage. We also defined the receiver-operating characteristics (ROC) curve for cytokines and classical tumor markers. The cytokines were measured in 47 patients with pancreatic cancer, in 27 patients with chronic pancreatitis and in 35 healthy subjects. SCF and M-CSF were determined using enzyme-linked immunosorbent assay (ELISA). CEA and CA 19-9 were measured by microparticle enzyme immunoassay. There were significant differences in the levels of circulating SCF, M-CSF, CEA and CA 19-9 in the pancreatic cancer patients compared to the control group, but only the serum levels of M-CSF, CEA and CA 19-9 were significantly higher in pancreatic cancer patients compared to the pancreatitis group. The levels of cytokines and tumor markers were higher in patients with a more advanced tumor stage. The M-CSF serum levels correlated positively with the tested tumor markers. The M-CSF area under the ROC curve was higher than the SCF area. These results suggest that M-CSF is a better candidate for a pancreatic cancer tumor marker than SCF.

Hematopoietic cytokines in the sera of patients with pancreatic cancer

Hematopoietic cytokines (HCs) can affect the growth and spread of cancer. Therefore, in the present study, we investigated in pancreatic cancer patients the serum levels of selected HCs, such as stem cell factor (SCF), interleukin 3 (IL-3), granulocyte-macrophage-colony stimulating factor (GM-CSF), granulocyte-colony stimulating factor (G-CSF) and macrophage-colony stimulating factor (M-CSF) in relation to a control group and to a group of patients with chronic pancreatitis. Classical tumor markers such as carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA 19-9) were also tested. We compared the serum level of cytokines with the tumor stage. The diagnostic sensitivity, specificity, positive and negative predictive values and receiver-operating characteristics (ROC) curve for cytokines and classical tumor markers were defined. The cytokines were measured in 48 patients with pancreatic cancer, in 23 patients with chronic pancreatitis and in 40 healthy subjects. HCs were determined using ELISA. CEA and CA 19-9 were measured by microparticle enzyme immunoassay. There were significant differences in the levels of circulating SCF, IL-3, GM-CSF, M-CSF, CEA and CA 19-9 in the pancreatic cancer patients compared to the control group. The serum levels of M-CSF and tumor markers were significantly higher in pancreatic cancer patients compared to the pancreatitis group. The levels of SCF, M-CSF and tumor markers were higher in patients with a more advanced tumor stage. The M-CSF serum levels in the pancreatitis group correlated positively with the tumor markers tested – CEA and CA 19-9. The diagnostic sensitivity of SCF and specificity of M-CSF and tumor markers were the highest. The SCF and M-CSF areas under the ROC curve were greater than the areas for other cytokines. These results suggest the potential usefulness of HCs in pancreatic cancer detection; however, further investigations of early-stage pancreatic cancer patients and confirmation by a prospective study are necessary.

Hematopoietic cytokines as tumor markers

Stem cell factor (SCF), interleukin 3 (IL-3), granulocyte-macrophage-colony stimulating factor (GM-CSF), granulocyte-colony stimulating factor (G-CSF) and macrophage-colony stimulating factor (M-CSF) are members of a group of glycoproteins called hematopoietic cytokines (HCs). These cytokines regulate the growth and differentiation of hematopoietic progenitor cells and functionally activate mature neutrophils or macrophages. The effect of HCs is not limited to bone marrow cells. Some studies have shown that HCs can also stimulate the proliferation of non-hematopoietic cells. The receptors for HCs have been detected in cancer cell lines, and stimulation of HCs receptors induced proliferation of tumor cells. Moreover, some investigations have shown HC mRNA expression in these cell lines and recent studies have demonstrated that HCs can stimulate tumor progression. Several cells of malignant tumors have been observed to secrete large amounts of HCs and increased concentrations of HCs have been found in the sera of cancer patients. There are a number of situations in which the measurement of HCs may provide clinically useful information, particularly regarding prognosis and response to treatment. In this paper we discuss the results of studies that have examined the potential use of HCs as tumor markers.

Hematopoietic growth factors in colorectal cancer patients

Hematopoietic growth factors (HGFs) are involved in the regulation of growth and spread of cancer. Therefore, in the present study, we have investigated in colorectal cancer patients the serum levels of selected HGFs, such as stem cell factor (SCF), interleukin 3 (IL-3), granulocyte-macrophage-colony stimulating factor (GM-CSF), and M-CSF in relation to controls and to the classical tumor markers, such as carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA 19-9) in colorectal cancer. Additionally, we have compared the serum levels of cytokines with tumor site and stage and other clinical characteristics such as age and sex. We also defined the receiver-operating characteristics (ROC) curve for HGFs and classical tumor markers. The tested cytokines were measured in 70 patients with colorectal cancer and in 40 healthy subjects. HGFs were determined using enzyme-linked immunosorbent assay (ELISA). CEA and CA 19-9 were measured by microparticle enzyme immunoassay. There were significant differences in the levels of circulating SCF, IL-3, M-CSF, GM-CSF, and CEA and CA 19-9 in the colorectal cancer patients compared to the control group. The levels of M-CSF and CEA were significantly higher in patients with a more advanced tumor stage. The significant positive correlation was observed between the CEA and CA 19-9 concentrations. The M-CSF serum levels correlated positively with the tested tumor markers. The M-CSF area under the ROC curve was the largest. These results suggest that M-CSF is, among the tested HGFs, the best candidate for a colorectal cancer tumor marker.

Granulocyte-colony stimulating factor (G-CSF) and macrophagecolony stimulating factor (M-CSF) in colorectal cancer patients

We have investigated the serum level of granulocytecolony stimulating factor (G-CSF) and macrophagecolony stimulating factor (M-CSF) and the commonly accepted tumor markers, such as carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA 19-9) in colorectal cancer. Additionally, we have defined the diagnostic sensitivity, specificity, positive predictive value, negative predictive value and receiver-operating characteristics (ROC) curve for G-CSF and M-CSF. The serum levels of cytokines were measured in 49 patients with colorectal cancer and in 40 healthy subjects. G-CSF and M-CSF were determined using enzyme-linked immunosorbent assay (ELISA). CEA and CA 19-9 were measured by microparticle enzyme immunoassay. There were significant increases in the level of circulating G-CSF and M-CSF in the colorectal cancer patients compared to the control group. Moreover, the diagnostic sensitivity of M-CSF was higher (65%) than the sensitivity of CEA (31%) and CA 19-9 (20%). The diagnostic specificities of M-CSF and G-CSF were 95%, and the M-CSF predictive value was higher compared with the predictive value of G-CSF. These results suggest a potential role for M-CSF as a tumor marker for colorectal cancer.

Granulocyte-Colony stimulating factor and macrophage-colony stimulating factor in patients with non-small-cell lung cancer

We have investigated the serum level of granulocyte-colony stimulating factor (G-CSF) and macrophagecolony stimulating factor (M-CSF) in non-small-cell lung cancer (NSCLC), in relation to the control group and commonly accepted tumor markers, such as carcinoembryonic antigen (CEA) and cytokeratin fragment 19 (CYFRA 21-1). Additionally, we have defined the diagnostic sensitivity, specificity, positive predictive value, negative predictive value and receiver-operating characteristics (ROC) curve of G-CSF and M-CSF. Serum levels of cytokines were measured in 61 patients with NSCLC and in 20 healthy subjects. G-CSF and M-CSF were determined using ELISA. CYFRA 21-1 was measured by radioimmunoassay and CEA by microparticle enzyme immunoassay. There were significant increases in the level of circulating G-CSF in the lung cancer patients compared to the control group. Moreover, the diagnostic sensitivity of G-CSF was higher (56%) than the sensitivity of CYFRA 21-1 (51%), but lower than the CEA sensitivity (62%). The diagnostic specificity of G-CSF was higher (70%) than the M-CSF specificity (40%) and the G-CSF predictive values were higher in relation to the predictive values of M-CSF. These results suggest a potential role of G-CSF as a tumor marker for NSCLC.