Proteomic Strategies for the Characterization and the Early Detection of Lung Cancer:

Altered lung tissue lipidomic profile in caspase-4 positive non-small cell lung cancer (NSCLC) patients

Lung cancer is by far the leading cause of cancer death. Metabolomic studies have highlighted that both tumor progression and limited curative treatment options are partly due to dysregulated glucose metabolism and its associated signaling pathways. In our previous studies, we identified caspase-4 as a novel diagnostic tool for non-small cell lung cancer (NSCLC). Here, we analyzed the metabolomic profile of both plasma and tumor tissues of NSCLC patients stratified as caspase-4 positive or negative. We found that circulating caspase-4 was correlated to LDH. However, this effect was not observed in caspase-4 positive tumor tissues, where instead, fatty acid biosynthesis was favoured in that the malonic acid and the palmitic acid were higher than in non-cancerous and caspase-4 negative tissues. The glycolytic pathway in caspase-4 positive NSCLC tissues was bypassed by the malonic acid-dependent lipogenesis. On the other hand, the dysregulated glucose metabolism was regulated by a higher presence of succinate dehydrogenase (SDHA) and by the gluconeogenic valine which favoured Krebs’ cycle.

In conclusion, we found that the recently identified caspase-4 positive subpopulation of NSCLC patients is characterized by a lipidomic profile accompanied by alternative pathways to guarantee glucose metabolism in favour of tumor cell proliferation.

The application of SELDI-TOF-MS in clinical diagnosis of cancers

Cancer diagnosis is important, and the early diagnosis of cancers could predict a more successful treatment. The proteomic studies emerged to be useful in combined analyses of samples from patients and provide more accurate diagnosis when compared to the single-factor-based diagnosis. In recent years, cancer detection with surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF MS) is flourishing and brought significant progress in this area. This paper summarizes some recent results with this technique for cancer diagnosis.

Proteomics methods and applications for the practicing clinician

OBJECTIVE

To describe clinical proteomics from discovery techniques and their limitations, to applications in allergy, asthma, and immunology, and finally to how proteomics can be integrated into clinical practice.

DATA SOURCES

Despite many inherent challenges, proteomics-based methods have become a powerful and popular means of profiling clinical samples for the purpose of biomarker discovery. Although several strategies exist, clinical proteomics for the purpose of biomarker discovery generally focuses on 1 of 3 basic workflows: (1) 2-dimensional gel electrophoresis to quantitate relative protein levels followed by mass spectrometry (MS) to identify proteins of interest, (2) non-gel-based methods that rely on liquid chromatography MS (LCMS) for both quantitation and identification of proteins, and (3) protein profiling methods that do not directly result in the identification of proteins but rather generate "fingerprints" that are compared among individuals or samples.

STUDY SELECTION

Regardless of the strategy being pursued, a few general experimental steps are followed that will be expounded on in the text. These proteomics techniques have been applied to discover new biomarkers in biofluids and tissues from individuals with a variety of conditions, including allergy, asthma, atopic dermatitis, inflammatory diseases, chronic obstructive pulmonary disease, and other lung diseases.

RESULTS

After biomarker discovery, LCMS-based proteomics offers several advantages over traditional antibody-based clinical assays, including greater specificity, cost- and time-effectiveness, and the potential to multiplex up to hundreds of peptides in a single assay.

CONCLUSION

With many guidelines now in place and model studies on which to design future experiments, there is reason to be optimistic that candidate protein biomarkers will be discovered using proteomics and translated into clinical assays.

Comparative analysis of the liver and plasma proteomes as a novel and powerful strategy for hepatocellular carcinoma biomarker discovery

The extraordinary developments made in the past decade in proteomic technologies, in particular in mass spectrometry, have enabled investigators to consider designing studies to search for diagnostic and therapeutic biomarkers by scanning complex proteome samples. We developed a method based on extensive fractionation of intact proteins, to comprehensively and quantitatively profile the liver and plasma proteomes in health and disease. We have applied this method to samples collected from patients with early hepatocellular carcinoma (HCC) and from patients with liver cirrhosis as well as to samples collected from three mouse models of HCC. This method allowed for the identification of proteins that differ in expression levels in liver tissue or in plasma with disease progression from liver fibrosis, cirrhosis or steatohepatitis to HCC. The comparative analysis of the liver and plasma proteomes generated from human and mouse specimens, constitutes a novel and powerful strategy for HCC biomarker discovery.

Proteomics and cancer epidemiology

Profiling of differentially expressed proteins is perhaps the most important and useful approach in developing tools for risk assessment in a population, diagnostic screening, and therapeutics. Proteomic markers have potential for identifying individuals at high risk of developing cancer; however, these markers have not been extensively used in cancer epidemiologic studies. Several markers have to be clinically validated. In this chapter, methods used in proteomic analysis of clinical samples, challenges in the proteomics and cancer epidemiology, and their potential solutions are discussed.

Advances in genomic and proteomic studies of non-small-cell lung cancer: clinical and translational research perspective

Recent years have brought tremendous progress in the development of genomic and proteomic platforms to study cancer biology. Tests based on these platforms are helpful in early diagnosis, prognosis, and prediction of treatment benefit. Molecular studies performed on minimally invasive material (plasma, sputum) from individuals participating in longitudinal or case-control studies have approximately 70%-90% sensitivity and specificity to detect lung cancer. In operable non-small-cell lung cancer, genomic and proteomic studies yield better prognostic information than pathologic staging. There are several examples of successful identification of predictive assays for benefit from chemotherapy (ERCC1, RRM1, p27Kip1, and p53 expression) or targeted therapies (epidermal growth factor receptor [EGFR] gene copy number, EGFR activating mutations, EGFR protein expression, serum proteomic profile). These markers should be prospectively tested in clinical studies before they can be routinely used in the clinic.

Hepatocellular carcinoma: epidemiology and clinical aspects

Liver cancer is one of the most frequent solid cancers that kills more than 650,000 people around the world each year. Though great improvements have been done in last 10 years on the understanding the molecular mechanisms involved in liver oncogenesis, the prognosis of patients affected by liver cancer is still poor for most of them. Even in those where a relatively early diagnosis is done, the course of the disease is often fatal due to the underlying liver cirrhosis. In this review authors report the most recent findings on the pathogenesis of liver cancer and on therapeutic approaches, included those emerging from the most recent literature.