Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy

被引:5
|
作者
Stanojevic, Aleksandra [1 ]
Samiotaki, Martina [2 ]
Lygirou, Vasiliki [3 ]
Marinkovic, Mladen [4 ,5 ]
Nikolic, Vladimir [6 ]
Stojanovic-Rundic, Suzana [4 ,5 ]
Jankovic, Radmila [1 ]
Vlahou, Antonia [3 ]
Panayotou, George [2 ]
Fijneman, Remond J. A. [7 ]
Castellvi-Bel, Sergi [8 ,9 ,10 ]
Zoidakis, Jerome [3 ,11 ]
Cavic, Milena [1 ]
机构
[1] Inst Oncol & Radiol Serbia, Dept Expt Oncol, Pasterova 14, Belgrade 11000, Serbia
[2] Biomed Sci Res Ctr Alexander Fleming, Inst Bioinnovat, Fleming 34, Vari 16672, Greece
[3] Acad Athens, Biomed Res Fdn, Dept Biotechnol, 4 Soranou Ephessiou St, Athens 11527, Greece
[4] Inst Oncol & Radiol Serbia, Dept Radiat Oncol, Clin Radiat Oncol & Diagnost, Pasterova 14, Belgrade 11000, Serbia
[5] Univ Belgrade, Fac Med, Dr Subot 8, Belgrade 11000, Serbia
[6] Inst Oncol & Radiol Serbia, Clin Med Oncol, Pasterova 14, Belgrade 11000, Serbia
[7] Netherlands Canc Inst, Dept Pathol, Plesmanlaan 121, NL-1066 CX Amsterdam, Netherlands
[8] Inst Invest Biomed August Pi i Sunyer FRCB IDIBAPS, Gastroenterol Dept, Fundacio Clin Recerca Biomed, C Rossello 149, Barcelona 08036, Spain
[9] Ctr Invest Biomed Red Enfermedades Hepat & Digest, Almagro 3, Madrid 28029, Spain
[10] Univ Barcelona, Hosp Clin, C Villarroel 170, Barcelona 08036, Spain
[11] Natl & Kapodistrian Univ Athens, Dept Biol, Panepistimiou 30, Athens 10679, Greece
关键词
data-independent acquisition mass spectrometry; neoadjuvant chemoradiotherapy; rectal cancer; proteomics; WATCH-AND-WAIT; COLORECTAL-CANCER; OVEREXPRESSION; CHEMORADIATION; IDENTIFICATION; SENSITIVITY; MUTATIONS; GROWTH; KRAS;
D O I
10.3390/ijms242015412
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Locally advanced rectal cancer (LARC) presents a challenge in identifying molecular markers linked to the response to neoadjuvant chemoradiotherapy (nCRT). This study aimed to utilize a sensitive proteomic method, data-independent mass spectrometry (DIA-MS), to extensively analyze the LARC proteome, seeking individuals with favorable initial responses suitable for a watch-and-wait approach. This research addresses the unmet need to understand the response to treatment, potentially guiding personalized strategies for LARC patients. Post-treatment assessment included MRI scans and proctoscopy. This research involved 97 LARC patients treated with intense chemoradiotherapy, comprising radiation and chemotherapy. Out of 97 LARC included in this study, we selected 20 samples with the most different responses to nCRT for proteome profiling (responders vs. non-responders). This proteomic approach shows extensive proteome coverage in LARC samples. The analysis identified a significant number of proteins compared to a prior study. A total of 915 proteins exhibited differential expression between the two groups, with certain signaling pathways associated with response mechanisms, while top candidates had good predictive potential. Proteins encoded by genes SMPDL3A, PCTP, LGMN, SYNJ2, NHLRC3, GLB1, and RAB43 showed high predictive potential of unfavorable treatment outcome, while RPA2, SARNP, PCBP2, SF3B2, HNRNPF, RBBP4, MAGOHB, DUT, ERG28, and BUB3 were good predictive biomarkers of favorable treatment outcome. The identified proteins and related biological processes provide promising insights that could enhance the management and care of LARC patients.
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页数:23
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