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Identification of osteosarcoma-related specific proteins in serum samples using surface-enhanced laser desorption/ionization-time-of-flight mass spectrometry.

Gu J, Li J, Huang M, Zhang Z, Li D, Song G, Ding X, Li W - J Immunol Res (2014)

Bottom Line: Two proteins showed a significantly different expression in OS serum samples from control groups.These two proteins were further identified by searching the EPO-KB database, and one of the proteins identified as Serine rich region profile is involved in various cellular signaling cascades and tumor genesis.The presence of these two proteins in OS patients but absence from premalignant and normal human controls implied that they can be potential biomarkers for early diagnosis of OS.

View Article: PubMed Central - PubMed

Affiliation: Luoyang Orthopedic-Traumatological Hospital, Luoyang Institute of Orthopedic and Traumatology, Henan Province, Luoyang 471002, China.

ABSTRACT
Osteosarcoma (OS) is the most common malignant bone tumor. To identify OS-related specific proteins for early diagnosis of OS, a novel approach, surface-enhanced laser desorption/ionization-time-of-flight mass spectrometry (SELDI-TOF-MS) to serum samples from 25 OS patients, 16 osteochondroma, and 26 age-matched normal human volunteers as controls, was performed. Two proteins showed a significantly different expression in OS serum samples from control groups. Proteomic profiles and external leave-one-out cross-validation analysis showed that the correct rate of allocation, the sensitivity, and the specificity of diagnosis were 100%. These two proteins were further identified by searching the EPO-KB database, and one of the proteins identified as Serine rich region profile is involved in various cellular signaling cascades and tumor genesis. The presence of these two proteins in OS patients but absence from premalignant and normal human controls implied that they can be potential biomarkers for early diagnosis of OS.

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Related in: MedlinePlus

Classification tree topology for GROUP. Node 1 total sample (25 OS, 26 normal, and 16 OC), M3954 ≤ −0.396 (including 25 OS) divided to terminal node 1; M3954 > −0.396 (including 26 normal and 16 OC) divided to node 2; M6438 ≤ 1.329 (including 26 normal) divided to terminal node 2; M6438 > 1.329 (including 16 OC) divided to terminal node 3.
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fig3: Classification tree topology for GROUP. Node 1 total sample (25 OS, 26 normal, and 16 OC), M3954 ≤ −0.396 (including 25 OS) divided to terminal node 1; M3954 > −0.396 (including 26 normal and 16 OC) divided to node 2; M6438 ≤ 1.329 (including 26 normal) divided to terminal node 2; M6438 > 1.329 (including 16 OC) divided to terminal node 3.

Mentions: In order to take a marked contrast, we apply the Biomarker Pattern software to analyze protein differences in the template group to m/z, respectively, 3954 Da and 6438 Da proteins composed of two different diagnostic classification tree models (Figure 3). The 67 samples were repeated sampling in the learning mode, and the diagnostic sensitivity was 98.51% and specificity was 98.51%, while, in test mode, the diagnostic sensitivity was 98.51%, and specificity was 100.00%. It was verified by leave-one-out and 3-fold cross-validation that correct grouping rate was 100% (67/67), good response rate was 100% (25/25), and specificity was 100% (42/42).


Identification of osteosarcoma-related specific proteins in serum samples using surface-enhanced laser desorption/ionization-time-of-flight mass spectrometry.

Gu J, Li J, Huang M, Zhang Z, Li D, Song G, Ding X, Li W - J Immunol Res (2014)

Classification tree topology for GROUP. Node 1 total sample (25 OS, 26 normal, and 16 OC), M3954 ≤ −0.396 (including 25 OS) divided to terminal node 1; M3954 > −0.396 (including 26 normal and 16 OC) divided to node 2; M6438 ≤ 1.329 (including 26 normal) divided to terminal node 2; M6438 > 1.329 (including 16 OC) divided to terminal node 3.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4020367&req=5

fig3: Classification tree topology for GROUP. Node 1 total sample (25 OS, 26 normal, and 16 OC), M3954 ≤ −0.396 (including 25 OS) divided to terminal node 1; M3954 > −0.396 (including 26 normal and 16 OC) divided to node 2; M6438 ≤ 1.329 (including 26 normal) divided to terminal node 2; M6438 > 1.329 (including 16 OC) divided to terminal node 3.
Mentions: In order to take a marked contrast, we apply the Biomarker Pattern software to analyze protein differences in the template group to m/z, respectively, 3954 Da and 6438 Da proteins composed of two different diagnostic classification tree models (Figure 3). The 67 samples were repeated sampling in the learning mode, and the diagnostic sensitivity was 98.51% and specificity was 98.51%, while, in test mode, the diagnostic sensitivity was 98.51%, and specificity was 100.00%. It was verified by leave-one-out and 3-fold cross-validation that correct grouping rate was 100% (67/67), good response rate was 100% (25/25), and specificity was 100% (42/42).

Bottom Line: Two proteins showed a significantly different expression in OS serum samples from control groups.These two proteins were further identified by searching the EPO-KB database, and one of the proteins identified as Serine rich region profile is involved in various cellular signaling cascades and tumor genesis.The presence of these two proteins in OS patients but absence from premalignant and normal human controls implied that they can be potential biomarkers for early diagnosis of OS.

View Article: PubMed Central - PubMed

Affiliation: Luoyang Orthopedic-Traumatological Hospital, Luoyang Institute of Orthopedic and Traumatology, Henan Province, Luoyang 471002, China.

ABSTRACT
Osteosarcoma (OS) is the most common malignant bone tumor. To identify OS-related specific proteins for early diagnosis of OS, a novel approach, surface-enhanced laser desorption/ionization-time-of-flight mass spectrometry (SELDI-TOF-MS) to serum samples from 25 OS patients, 16 osteochondroma, and 26 age-matched normal human volunteers as controls, was performed. Two proteins showed a significantly different expression in OS serum samples from control groups. Proteomic profiles and external leave-one-out cross-validation analysis showed that the correct rate of allocation, the sensitivity, and the specificity of diagnosis were 100%. These two proteins were further identified by searching the EPO-KB database, and one of the proteins identified as Serine rich region profile is involved in various cellular signaling cascades and tumor genesis. The presence of these two proteins in OS patients but absence from premalignant and normal human controls implied that they can be potential biomarkers for early diagnosis of OS.

Show MeSH
Related in: MedlinePlus