Potential Significance of Peptidome in Human Ovarian Cancer for Patients With Ascites

Huang, Xin; Zhou, Juan; Tang, Ranran; Han, Song; Zhou, Xue

doi:10.1097/igc.0000000000001166

Cited by 10 publications

(8 citation statements)

References 25 publications

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“…With the development of mass spectrometry, several studies have focused on the identification of the peptide biomarkers in diseases (11)(12)(13). Up to now, the peptidome of the urine from healthy control and ovarian cancer patients and the peptidome of the ascites from benign gynecological conditions and ovarian cancer patients have been analyzed (36,37), the serum peptidomes of control and ovarian cancer patients have not been studied before. However, none of the differentially expressed peptides in this study were found in the preceding studies.…”

Section: Discussionmentioning

confidence: 99%

Peptidome characterization of ovarian cancer serum and the identification of tumor suppressive peptide ZYX36-58

Wang¹,

Liu²,

Sheng³

et al. 2020

Ann Transl Med

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Background: Several serum biomarkers, including miRNA, mRNA, protein and peptides in cancer patients are also important mediators of cancer progression. Methods:The differentially expressed peptides between the serum of ovarian cancer patients and healthy controls were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The function of the peptides was analyzed by CCK8, transwell, wound healing, and flow cytometry analysis. And the mechanism of the peptides was analyzed by peptide pull down, and high-throughput RNA-sequencing.Results: A total of 7 and 46 peptides were significantly up-regulated and down-regulated in the serum of ovarian cancer patients, respectively. The precursor proteins of the differentially expressed peptides mainly involved in the complement and coagulation cascades, platelet activation, phagosome and focal adhesion pathways. Interestingly, focal adhesion, platelet activation, platelet-cancer cell interaction, complement activation, coagulation cascades and phagosome formation are all critical factors for cancer initiation or progression, which indicated that the peptides may play a crucial role in cancer development.And we identified one peptide, ZYX 36-58 , which was down-regulated in the serum of ovarian cancer patients, significantly inhibited invasion and migration and promoted the apoptosis of ovarian cancer cells. Mechanistic study indicated that ZYX 36-58 interacted with and increased the protein level of the antiangiogenic protein thrombospondin-1 (TSP1), which has a tumor suppressive effect on ovarian cancer.Conclusions: ZYX 36-58, which was significantly down-regulated in the serum of ovarian cancer patients can significantly inhibit cell invasion, migration and promote apoptosis of ovarian cancer cells by binding and up-regulating TSP1 protein expression.

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Section: Discussionmentioning

confidence: 99%

Peptidome characterization of ovarian cancer serum and the identification of tumor suppressive peptide ZYX36-58

Wang¹,

Liu²,

Sheng³

et al. 2020

Ann Transl Med

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“…Notably, the combination of serum amyloid A1, albumin, serotransferrin, human epididymis protein 4 (HE4) and CA125 elevated the diagnostic capacity for differentiating benign and malignant OC (140). Increased expression of 52 peptides and decreased expression of 52 peptides were detected in the ascites fluid of OC patients compared to that of those with benign gynecological conditions (150). Label-free liquid chromatography-mass spectrometry was performed between favorable prognosis and poor prognosis primary HGSOC specimen and revealed that higher expression of 288 proteins was found in the favorable prognosis cluster, while higher expression of 370 proteins was found in the poor prognosis cluster (141).…”

Section: Proteomicsmentioning

confidence: 99%

Applications of Multi-omics Approaches for Exploring the Molecular Mechanism of Ovarian Carcinogenesis

et al. 2021

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Ovarian cancer ranks as the fifth most common cause of cancer-related death in females. The molecular mechanisms of ovarian carcinogenesis need to be explored in order to identify effective clinical therapies for ovarian cancer. Recently, multi-omics approaches have been applied to determine the mechanisms of ovarian oncogenesis at genomics (DNA), transcriptomics (RNA), proteomics (proteins), and metabolomics (metabolites) levels. Multi-omics approaches can identify some diagnostic and prognostic biomarkers and therapeutic targets for ovarian cancer, and these molecular signatures are beneficial for clarifying the development and progression of ovarian cancer. Moreover, the discovery of molecular signatures and targeted therapy strategies could noticeably improve the prognosis of ovarian cancer patients.

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“…It also provides a brand‐new idea to explore biomarkers for accurate or early diagnosis, prognosis and treatment management (Schrader et al, 2014). The samples used for analysis vary from those obtained by invasive acquisition, such as tissue (Li et al, 2020; Liu et al, 2018), blood (Tammen et al, 2007) and ascites (Huang et al, 2018), to those obtained by easy and noninvasive acquisition, including saliva (Amado et al, 2010), sweat (Yu et al, 2017), urine (Sirolli et al, 2019) and human breast milk (Campanhon et al, 2019). Current studies on peptidomics of human breast milk are focused on the protective factors for infants and mothers such as antimicrobial peptides (Dallas et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Peptidomics analysis of human breast milk from women with postpartum depression reveals its potential pathogenesis

Wang

Mei

et al. 2023

Intl J of Devlp Neuroscience

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Background Postpartum depression (PPD) is a prevalent psychiatric disorder during the postnatal period, and it exerts adverse impacts not only on mothers but also on infants, impairing the well‐being of the whole family. However, the role of peptides in the breast milk of mothers with PPD has not been studied. The purpose of this study was to unveil the peptidomic profile of PPD from breast milk samples. Methods We performed comparative peptidomic profiling of human breast milk from PPD and control mothers using liquid chromatography–tandem mass spectrometry technology with iTRAQ‐8 labelling. GO and KEGG pathway analyses of precursor proteins were used to predict the underlying biological functions of differentially expressed peptides (DEPs). Ingenuity Pathway Analysis (IPA) was further performed to explore the interactions and involved pathways of DEPs. Results A total of 294 peptides from 62 precursor proteins were identified to be differentially expressed in the breast milk of PPD mothers compared with the control group. Bioinformatics analysis predicted that these DEPs were associated with ECM–receptor interaction, neuroactive ligand‐receptor interaction, cell adhesion molecule binding and oxidative stress in macrophages. These results indicate that DEPs from human breast milk may play a part in PPD and become promising noninvasive biomarkers.

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Potential Significance of Peptidome in Human Ovarian Cancer for Patients With Ascites

Abstract: We identified the peptidome patterns of patients with OC and benign gynecological conditions, and these differentially expressed that peptides might play an important role during occurrence and development of OC and will be in hope to explore bioactive peptides in the pathogenesis of OC.

Cited by 10 publications

References 25 publications

Peptidome characterization of ovarian cancer serum and the identification of tumor suppressive peptide ZYX36-58

Peptidome characterization of ovarian cancer serum and the identification of tumor suppressive peptide ZYX36-58

Applications of Multi-omics Approaches for Exploring the Molecular Mechanism of Ovarian Carcinogenesis

Peptidomics analysis of human breast milk from women with postpartum depression reveals its potential pathogenesis

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