Proteomics

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Identification of a biomarker to predict doxorubicin/cisplatin chemotherapy efficacy for osteosarcoma patients by 4D data-independent acquisition (DIA) mass spectrometry with parallel reaction monitoring (PRM) verification


ABSTRACT: We analyzed the differentially expressed proteins in 37 resected tissue samples from osteosarcoma patients using paraffin- embedded specimens and 4D data-independent acquisition (DIA) quantitative mass spectrometry to investigate biomarkers for predicting the efficacy of doxorubicin/cisplatin chemotherapy

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

DISEASE(S): Osteosarcoma

SUBMITTER: Xiaoyu Zhang  

LAB HEAD: Qiong Ma

PROVIDER: PXD051097 | Pride | 2024-10-17

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
DIA1.raw Raw
DIA10.raw Raw
DIA11.raw Raw
DIA12.raw Raw
DIA13.raw Raw
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Publications

Identification of a biomarker to predict doxorubicin/cisplatin chemotherapy efficacy in osteosarcoma patients using primary, recurrent and metastatic specimens.

Ma Qiong Q   Sun Jin J   Liu Qiao Q   Fu Jin J   Wen Yanhua Y   Zhang Fuqin F   Wu Yonghong Y   Zhang Xiaoyu X   Gong Li L   Zhang Wei W  

Translational oncology 20240816


<h4>Background</h4>Doxorubicin and cisplatin are both first-line chemotherapeutics for osteosarcoma (OS) treatment. However, the efficacy of doxorubicin/cisplatin chemotherapy varies considerably. Thus, identifying an efficient diagnostic biomarker to distinguish patients with good and poor responses to doxorubicin/cisplatin chemotherapy is of paramount importance.<h4>Methods</h4>To predict the efficacy of doxorubicin/cisplatin chemotherapy, we analyzed the differentially expressed proteins in 3  ...[more]

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