Plasma proteomic profiling: Search for lung cancer diagnostic and early detection markers

Ali, Iqbal Unnisa; Xiao, Zhen; Malone, Winfred F.; Smith, Mylinh; Conrads, Thomas P.; Veenstra, Timothy D.; Greenwald, Peter; Luke, Brian T.; McLarty, Jerry

doi:10.3892/or.15.5.1367

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…In recent years, proteomics has emerged as a powerful technology to identify differential protein expressions associated with cancer development and progression. Its two most popular and reliable techniques, two‐dimensional gel electrophoresis and mass spectrometry, have been widely used in studies of different types of cancers, such as leukemia (7–9), breast cancer (10, 11), colorectal cancer (12–14), lung cancer (15–18), liver cancer (19, 20), renal cancer (21, 22), bladder cancer (23, 24), esophageal cancer (25, 26), gastric cancer (27), and cervical cancer (28). Although this technology has also been applied for the study of OSCC with clinical tissue samples (29–32) and cell lines (33–35), similar study has not been performed with our in vitro cellular carcinogenesis model of OSCC.…”

Section: Introductionmentioning

confidence: 99%

Decreased expression of Annexin A1 correlates with pathologic differentiation grade in oral squamous cell carcinoma

Zhang¹,

Yang²,

Zhong

et al. 2009

J Oral Pathology Medicine

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Previously, we established an in vitro cellular carcinogenesis model of oral squamous cell carcinoma (OSCC), including the human immortalized oral epithelia cells (HIOECs) and its derived cancerous HB96 cells. In this study, comparative proteomic analysis identified that Annexin A1 was one of the significantly down-regulated genes in the cancerous HB96 cells. To investigate Annexin A1 down-regulation and its potential usefulness as a molecular marker in OSCC, we further screened Annexin A1 expressions with a panel of OSCC lines, and clinical samples of cancerous and the paired adjacent normal tissues from primary OSCC patients. By Western blot analysis and real-time PCR, we showed that both Annexin A1 mRNA and protein expressions decreased in OSCC cell lines except in two cell lines for the mRNA levels. Immunohistochemistry and real-time PCR also showed that both Annexin A1 mRNA and protein expressions decreased in the cancerous tissues from OSCC patients compared with those in the paired adjacent non-malignant epithelia. More importantly, both Annexin A1 mRNA and protein expressions negatively correlated with the pathologic differentiation grades of cancerous tissues. The lower Annexin A1 mRNA or protein expressions correlated with the poorer pathologic differentiation grades. These results suggest that decreased expression of Annexin A1 contributes to the cancerous progression of OSCC, and Annexin A1 may be a potential biomarker for pathologic differentiation grade of OSCC.

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Section: Introductionmentioning

confidence: 99%

Decreased expression of Annexin A1 correlates with pathologic differentiation grade in oral squamous cell carcinoma

Zhang¹,

Yang²,

Zhong

et al. 2009

J Oral Pathology Medicine

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“…Interestingly, some of the differentially expressed proteins described here have been also found by others: 11.6 kDa (29-32), 3.2 and 3.3 kDa (33), 15.1 kDa (34,35), and 17.2 kDa (34), although there are various different proteins patterns identified by each group. Particularly, the 11.6 kDa mass has been identified as serum amyloid A (SAA) (33), which is a major acute phase protein that is associated with circulating high-density lipoprotein and appears to be a potential useful biomarker to monitor relapse of nasopharyngeal cancer.…”

Section: Discussionmentioning

confidence: 76%

Identification of a 17-protein signature in the serum of lung cancer patients

Sreseli

Binder²,

M³

et al. 2010

Oncol Rep

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Abstract. Early detection of lung cancer may potentially help to improve the outcome of this fatal disease. Currently, no satisfactory laboratory tests are available to screen for this type of cancer. The aim of this study was to improve diagnostic procedures for lung cancer through the discovery of serum biomarkers using SELDI-TOF MS (surfaceenhanced laser desorption/ionization time-of-flight mass spectrometry). Mass spectrometric profiling was applied to the serum of a total of 139 lung cancer patients and 158 healthy individuals for developing a prognostic signature. For validation, two separate groups were employed, comprising of 126 and 50 individuals, respectively. Informative regions of mass spectra were identified by forming protein mass clusters and identifying predictive clusters in a logistic regression model. A total of 17 differential predictive protein mass clusters were identified in patients with metastatic lung cancer disease compared to healthy individuals. These clusters provide for a robust risk prediction model. The sensitivity and specificity of this model was estimated to be 87.3 and 81.9%, respectively, for the first validation set, and 96.0 and 66.7%, respectively, for a second validation set of patients with early disease (stages I and II). A differential 11.5/11.7 kDa double-peak could be identified as serum amyloid · (SAA) by peptide mapping. Our data suggest that the SELDI-TOF MS technology in combination with a careful statistical analysis appears to be a useful experimental platform which delivers a rapid insight into the proteome of body fluids and may guide to identify novel biomarkers for lung cancer disease.

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Identification of plasma protein markers common to patients with malignant tumour and Abnormal Savda in Uighur medicine: a prospective clinical study

Upur

Chen

Kamilijiang

et al. 2015

BMC Complement Altern Med

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BackgroundTraditional Uighur medicine shares an origin with Greco-Arab medicine. It describes the health of a human body as the dynamic homeostasis of four normal Hilits (humours), known as Kan, Phlegm, Safra, and Savda. An abnormal change in one Hilit may cause imbalance among the Hilits, leading to the development of a syndrome. Abnormal Savda is a major syndrome of complex diseases that are associated with common biological changes during disease development. Here, we studied the protein expression profile common to tumour patients with Abnormal Savda to elucidate the biological basis of this syndrome and identify potential biomarkers associated with Abnormal Savda.MethodsPatients with malignant tumours were classified by the diagnosis of Uighur medicine into two groups: Abnormal Savda type tumour (ASt) and non-Abnormal Savda type tumour (nASt), which includes other syndromes. The profile of proteins that were differentially expressed in ASt compared with nASt and normal controls (NC) was analysed by iTRAQ proteomics and evaluated by bioinformatics using MetaCore™ software and an online database. The expression of candidate proteins was verified in all plasma samples by enzyme-linked immunosorbent assay (ELISA).ResultsWe identified 31 plasma proteins that were differentially expressed in ASt compared with nASt, of which only 10 showed quantitatively different expression between ASt and NC. Bioinformatics analysis indicated that most of these proteins are known biomarkers for neoplasms of the stomach, breast, and lung. ELISA detection showed significant upregulation of plasma SAA1 and SPP24 and downregulation of PIGR and FASN in ASt compared with nASt and NC (p < 0.05).ConclusionsAbnormal Savda may be causally associated with changes in the whole regulation network of protein expression during carcinogenesis. The expression of potential biomarkers might be used to distinguish Abnormal Savda from other syndromes.Electronic supplementary materialThe online version of this article (doi:10.1186/s12906-015-0526-6) contains supplementary material, which is available to authorized users.

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Plasma proteomic profiling: Search for lung cancer diagnostic and early detection markers

Cited by 3 publications

References 21 publications

Decreased expression of Annexin A1 correlates with pathologic differentiation grade in oral squamous cell carcinoma

Decreased expression of Annexin A1 correlates with pathologic differentiation grade in oral squamous cell carcinoma

Identification of a 17-protein signature in the serum of lung cancer patients

Identification of plasma protein markers common to patients with malignant tumour and Abnormal Savda in Uighur medicine: a prospective clinical study

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