Evaluation of Serum Protein Profiling by Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for the Detection of Prostate Cancer: I. Assessment of Platform Reproducibility

Semmes, O. John; Feng, Ziding; Adam, Bao Ling; Bañez, Lionel L.; Bigbee, William L.; Campos, D; Cazares, Lisa H.; Chan, Daniel W.; Grizzle, William E.; Izbicka, Elzbieta; Kagan, Jacob; Malik, Gunjan; McLerran, Dale; Moul, Judd W.; Partin, Alan W.; Prasanna, Premakala; Rosenzweig, Jason M.; Sokoll, Lori J.; Srivastava, Shiv; Srivastava, Sudhir; Thompson, Ian M.; Welsh, Manda J.; White, Nicole M.; Winget, Marcy; Yasui, Yutaka; Zhang, Zhen; Zhu, Liu

doi:10.1373/clinchem.2004.038950

Cited by 318 publications

(245 citation statements)

References 34 publications

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“…Acceptable average coefficients of variation of 10 and 17% were obtained for intra-and inter-assay variability, respectively. This is consistent with previously reported studies using SELDI-TOF (Semmes et al, 2005;Albrethsen, 2007).…”

Section: Resultssupporting

confidence: 94%

Serum protein signature may improve detection of ductal carcinoma in situ of the breast

et al. 2009

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Ductal carcinoma in situ (DCIS) of the breast is part of a spectrum of preinvasive lesions that originate within normal breast tissue and progress to invasive breast cancer. The detection of DCIS is important for the reduction of mortality from breast cancer, but the diagnosis of preinvasive breast tumors is hampered by the lack of an adequate detection method. To identify the changes in protein expression during the initial stage of tumorigenesis and to identify the presence of new DCIS markers, we analysed serum from 60 patients with breast cancer and 60 normal controls using mass spectrometry. A 23-protein index was generated that correctly distinguishes the DCIS and control groups with sensitivities and specificities in excess of 80% in two independent cohorts. Two candidate peptides were purified and identified as platelet factor 4 (PF-4) and complement C3a desArg anaphylatoxin (C3a desArg ) using liquid chromatography-tandem mass spectrometry (LC-MS/MS). In an independent serum set of 165 patients, PF-4 and C3a desArg were significantly upregulated in DCIS compared with non-cancerous controls, as validated using western blot and enzyme-linked immunosorbent assay. We conclude that our serum protein-based test, used in conjunction with image-based screening practices, could improve the sensitivity and specificity of breast cancer detection.

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Section: Resultssupporting

confidence: 94%

Serum protein signature may improve detection of ductal carcinoma in situ of the breast

et al. 2009

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“…Semmes and colleagues demonstrated that interlaboratory reproducibility of SELDI-TOF-MS serum profiling for prostate cancer approached that of measurement of discrete m/z peaks over time and across laboratories under strict operating procedures for the detection of prostate cancer. (34) These results suggest that high-throughput proteomic techniques such as SELDI improve the early detection of gastric cancer.…”

Section: Discussionmentioning

confidence: 93%

Diagnosis of gastric cancer using decision tree classification of mass spectral data

Shen

Qian

et al. 2006

Cancer Science

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Although gastric cancer is the second leading cause of cancer death worldwide, specific and sensitive biomarkers that can be used for its diagnosis are still unavailable. Attempting to improve on current approaches to the serological diagnosis of gastric cancer, we subjected serum samples from 245 individuals (including 127 gastric cancer patients, 100 age-and sex-matched healthy individuals, nine benign gastric lesion patients and nine colorectal cancer patients) for analysis by surface-enhanced laser desorption/ionization (SELDI) mass spectrometry. Peaks were detected with Ciphergen SELDI software version 3.1.1 and analyzed with Biomarker Patterns' software 5.0. We developed a classifier for separating the gastric cancer groups from the healthy groups. Three protein masses with 1468, 3935 and 7560 m/z were selected as a potential 'fingerprint' for the detection of gastric cancer. It was able to distinguish the gastric cancer patients from the health volunteers with a sensitivity of 95.6% and a specificity of 92.0% in the training set. In the blinding set, it was capable of differentiating the gastric cancer samples from the others with a specificity of 88.0%, a sensitivity of 85.3%, and an accuracy of 86.4%. These values were all higher than those achieved in a parallel analysis by measuring serum carcinoembryonic antigen (CEA) and carbohydrate antigen (CA)19-9 together. Therefore, the decision tree analysis of serum proteomic patterns has the potential to be used in gastric cancer diagnosis. (Cancer Sci 2007; 98: 37-43)

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“…17 Using these parameters, we have successfully synchronized multiple instruments and have maintained this synchrony over a 3-year period.…”

Section: Reproducibility Of Seldi-tof Profiling Of Cohort Samplesmentioning

confidence: 99%

Discrete serum protein signatures discriminate between human retrovirus-associated hematologic and neurologic disease

et al. 2005

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Evaluation of Serum Protein Profiling by Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for the Detection of Prostate Cancer: I. Assessment of Platform Reproducibility

Cited by 318 publications

References 34 publications

Serum protein signature may improve detection of ductal carcinoma in situ of the breast

Serum protein signature may improve detection of ductal carcinoma in situ of the breast

Diagnosis of gastric cancer using decision tree classification of mass spectral data

Discrete serum protein signatures discriminate between human retrovirus-associated hematologic and neurologic disease

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