Proteomics and Nucleotide Profiling as Tools for Biomarker and Drug Target Discovery

Honoré, Bent; Rice, Gregory E.; Vorum, Henrik

doi:10.3390/ijms222011031

Cited by 2 publications

(2 citation statements)

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“… 12 Moreover, analysis of the proteome has the potential to capture novel aspects of tumor heterogeneity, contributing to biomarker discovery and providing candidates for novel targeted therapies in modern precision medicine. 13 , 14 Given that the proteome is adaptive and changes in response to various factors acting at different biological levels, 15 , 16 , 17 a better understanding of the proteome in FL could provide key insights into the biological mechanisms that drive transformation in FL. 14 , 18 …”

Section: Introductionmentioning

confidence: 99%

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Proteomics identifies apoptotic markers as predictors of histological transformation in patients with follicular lymphoma

Enemark,

Wolter,

Campbell

et al. 2023

Blood Advances

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Follicular lymphoma (FL) is an indolent lymphoma with a generally favorable prognosis. However, histological transformation (HT) to a more aggressive disease leads to markedly inferior outcomes. This study aimed to identify biological differences predictive of HT at the time of initial FL diagnosis. We show differential protein expression between diagnostic tumor-tissue samples from FL patients with subsequent HT (subsequently-transforming FL, st-FL, n=20) compared with patients without HT (non-transforming FL, nt-FL, n=34) by label-free quantification nano liquid chromatography-tandem mass spectrometry (LFQ nLC-MS/MS) analysis. Protein profiles from nt-FL and st-FL samples identified patients with high risk of HT. This was accompanied by disturbances in cellular pathways influencing apoptosis, the cytoskeleton, cell cycle, and immune processes. Comparisons between diagnostic st-FL samples and paired transformed FL (tFL, n=20) samples demonstrated differential protein profiles and disrupted cellular pathways, indicating striking biological differences from the time of diagnosis up to HT. Immunohistochemical analysis of apoptotic proteins, CASP3, MCL1, BAX, BCL-xL, and BCL-rambo, confirmed higher expression levels in st-FL compared with nt-FL samples (p<0.001, p=0.015, p=0.003, p=0.025, and p=0.057, respectively). Moreover, all five markers were associated with shorter transformation-free survival (TFS; p<0.001, p=0.002, p<0.001, p=0.069, and p=0.010, respectively). Notably, combining the expression levels of these proteins in a risk score revealed increasingly inferior TFS with an increasing number of positive markers. In conclusion, proteomics identified altered protein expression profiles (in particular apoptotic proteins) at time of FL diagnosis, that predicted later transformation. This may contribute to future improved risk assessment and personalized management strategies for these patients.

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Section: Introductionmentioning

confidence: 99%

“… 13 , 14 Given that the proteome is adaptive and changes in response to various factors acting at different biological levels, 15 , 16 , 17 a better understanding of the proteome in FL could provide key insights into the biological mechanisms that drive transformation in FL. 14 , 18 …”

Section: Introductionmentioning

confidence: 99%

Proteomics identifies apoptotic markers as predictors of histological transformation in patients with follicular lymphoma

Enemark,

Wolter,

Campbell

et al. 2023

Blood Advances

Self Cite

View full text Add to dashboard Cite

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Proteomics approaches in the identification of cancer biomarkers and drug discovery

Nisar¹,

Mir²,

Kareem³

et al. 2023

Proteomics

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Proteomics and Nucleotide Profiling as Tools for Biomarker and Drug Target Discovery

Abstract: Proteomics has gone through tremendous development during recent decades [...]

Cited by 2 publications

References 10 publications

Proteomics identifies apoptotic markers as predictors of histological transformation in patients with follicular lymphoma

Proteomics identifies apoptotic markers as predictors of histological transformation in patients with follicular lymphoma

Proteomics approaches in the identification of cancer biomarkers and drug discovery

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