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Article: ProteinChip array profiling for identification of disease- and chemotherapy-associated biomarkers of nasopharyngeal carcinoma

TitleProteinChip array profiling for identification of disease- and chemotherapy-associated biomarkers of nasopharyngeal carcinoma
Authors
Issue Date2007
Citation
Clinical Chemistry, 2007, v. 53, n. 2, p. 241-250 How to Cite?
AbstractBackground: We previously used ProteinChip array profiling analysis to discover a serum biomarker associated with nasopharyngeal carcinoma (NPC). In this study, we used the same method to examine other biomarkers associated with NPC and response to chemotherapy (CT) in NPC patients. Methods: We performed ProteinChip array analysis in 209 serum samples from 66 relapsed patients before and after salvage CT with gemcitabine and cisplatin or etoposide and cisplatin combinations, 11 patients in remission, and 35 healthy individuals. Intensities of the biomarker peaks were correlated with CT response of the patients and other clinical parameters. Results: We discovered 13 candidate biomarkers associated with different clinical parameters. Two biomarkers (2803 and 3953 Da) were significantly increased in patients compared with controls at all stages of disease. Analysis of pre- and post-CT paired serum samples revealed 7 biomarkers correlated with impact of CT. Of these 7 biomarkers, 2 (2509 and 2756 Da) were significantly increased and 5 (7588, 7659, 7765, 7843, and 8372 Da) were significantly decreased post-CT in either 1 or both CT cohorts. Four biomarkers from pre-CT sera were correlated with CT response, with 3 (2950, 13 510, and 14 855 Da) being significantly decreased and 1 (6701 Da) significantly increased in patients who did not respond to CT. Tandem mass spectrometric sequencing and/or immunoaffinity capture assay identified the 3953 Da biomarker as a fragment of intera-trypsin inhibitor precursor and 7765 Da biomarker as platelet factor-4. Conclusions: Treatment-associated serum biomarkers found might serve to triage NPC patients for appropriate CT treatment. © 2007 American Association for Clinical Chemistry.
Persistent Identifierhttp://hdl.handle.net/10722/251652
ISSN
2020 Impact Factor: 8.327
2020 SCImago Journal Rankings: 1.705
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCho, William C.S.-
dc.contributor.authorYip, Timothy T.C.-
dc.contributor.authorNgan, Roger K.C.-
dc.contributor.authorYip, Tai Tung-
dc.contributor.authorPodust, Vladimir N.-
dc.contributor.authorYip, Christine-
dc.contributor.authorYiu, Harry H.Y.-
dc.contributor.authorYip, Victor-
dc.contributor.authorCheng, Wai Wai-
dc.contributor.authorMa, Victor W.S.-
dc.contributor.authorLaw, Stephen C.K.-
dc.date.accessioned2018-03-08T05:00:35Z-
dc.date.available2018-03-08T05:00:35Z-
dc.date.issued2007-
dc.identifier.citationClinical Chemistry, 2007, v. 53, n. 2, p. 241-250-
dc.identifier.issn0009-9147-
dc.identifier.urihttp://hdl.handle.net/10722/251652-
dc.description.abstractBackground: We previously used ProteinChip array profiling analysis to discover a serum biomarker associated with nasopharyngeal carcinoma (NPC). In this study, we used the same method to examine other biomarkers associated with NPC and response to chemotherapy (CT) in NPC patients. Methods: We performed ProteinChip array analysis in 209 serum samples from 66 relapsed patients before and after salvage CT with gemcitabine and cisplatin or etoposide and cisplatin combinations, 11 patients in remission, and 35 healthy individuals. Intensities of the biomarker peaks were correlated with CT response of the patients and other clinical parameters. Results: We discovered 13 candidate biomarkers associated with different clinical parameters. Two biomarkers (2803 and 3953 Da) were significantly increased in patients compared with controls at all stages of disease. Analysis of pre- and post-CT paired serum samples revealed 7 biomarkers correlated with impact of CT. Of these 7 biomarkers, 2 (2509 and 2756 Da) were significantly increased and 5 (7588, 7659, 7765, 7843, and 8372 Da) were significantly decreased post-CT in either 1 or both CT cohorts. Four biomarkers from pre-CT sera were correlated with CT response, with 3 (2950, 13 510, and 14 855 Da) being significantly decreased and 1 (6701 Da) significantly increased in patients who did not respond to CT. Tandem mass spectrometric sequencing and/or immunoaffinity capture assay identified the 3953 Da biomarker as a fragment of intera-trypsin inhibitor precursor and 7765 Da biomarker as platelet factor-4. Conclusions: Treatment-associated serum biomarkers found might serve to triage NPC patients for appropriate CT treatment. © 2007 American Association for Clinical Chemistry.-
dc.languageeng-
dc.relation.ispartofClinical Chemistry-
dc.titleProteinChip array profiling for identification of disease- and chemotherapy-associated biomarkers of nasopharyngeal carcinoma-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1373/clinchem.2005.065805-
dc.identifier.pmid17200135-
dc.identifier.scopuseid_2-s2.0-33846706710-
dc.identifier.volume53-
dc.identifier.issue2-
dc.identifier.spage241-
dc.identifier.epage250-
dc.identifier.isiWOS:000243965500013-
dc.identifier.issnl0009-9147-

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