Serum peptidome profiles in metastatic and non-metastatic feline mammary carcinoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Cellular Organisms
SUBMITTER: Sittiruk Roytrakul
PROVIDER: PXD035906 | JPOST Repository | Wed Aug 09 00:00:00 BST 2023
REPOSITORIES: jPOST
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Project description:Mammary carcinomas are aggressive neoplasms and a significant cause of mortality in female cats. Despite surgical removal, feline mammary carcinoma (FMC) often recurs or metastasizes. Specific tumour biomarkers are necessary for early detection, prognosis, and therapy selection. This study aims to identify candidate biomarkers for FMC by comparing tissue proteomic profiles among grades of 31 FMC cats and 6 normal mammary tissues (control) using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS).
2024-08-13 | PXD054830 | JPOST Repository
Project description:Metastatic disease remains one of the most urgent clinical challenges accounting for over 90% of cancer-related deaths. Yet, the identification of novel therapeutic targets to fight or prevent metastatic disease has been hampered by the limited availability of clinically relevant mouse models of metastasis formation. To address this caveat, we developed a novel preclinical mouse model of spontaneous metastatic breast cancer that recapitulates the key biological events of the metastatic cascade and mimics the clinical course of metastatic disease in humans. Exploiting the conditional K14cre;CdhF/F;Trp53F/F mouse model of de novo mammary tumor formation, we orthotopically transplanted K14cre;CdhF/F;Trp53F/F derived mouse invasive lobular carcinoma (mILC) fragments into mammary glands of wild-type syngeneic hosts. Once recipient mammary tumors were established, we mimicked the clinical setting and performed a mastectomy. Following surgery, recipient mice eventually succumbed to wide-spread clinically overt metastatic disease in lymph nodes, lungs and gastrointestinal tract. Using aCGH analyses, we explored the relationship between the genomic profiles of mammary donor tumors and paired recipient outgrowths and observed a strong correlation, indicating that the genomic profile of the parental K14cre;CdhF/F;Trp53F/F mILC is highly conserved in recipient mammary tumors. To investigate the genomic relationship between recipient mammary tumors and their metastases, we examined the correlation structure of genomic profiles derived from paired sets of primary tumors and metastases. Genomic profiles of clonally-related recipient mammary tumors were highly conserved in local and distant metastases, indicating that few genomic alterations occur during transition from a primary tumor to a distant site. To more thoroughly examine potential site-specific genomic alterations, we constructed so-called ‘delta-profiles’ by calculating the difference between the genomic profile of a recipient mammary tumor and its paired lymph node- and lung metastasis. Site-specific recurrent alterations were not observed in lymph node nor lung metastases. Taken together, these data show that genomic profiles of metastases are highly similar to those of parental recipient tumors and that, if changes occurred, they did not recur in different independent samples. We performed aCGH analyses on DNA isolated from K14cre;Cdh-/-;Trp53-/- derived donor mILCs (n=3) and their recipient mammary tumor outgrowths (n=10). Furthermore, we also analyzed genomic profiles derived from lung (n=10), tumor-draining (n=7) and distant lymph node metastases (n=5) isolated from the same recipient mice. DNA from each of these samples was hybridized against related donor splenic DNA.
2011-12-23 | E-GEOD-34666 | biostudies-arrayexpress
Project description:Metastatic disease remains one of the most urgent clinical challenges accounting for over 90% of cancer-related deaths. Yet, the identification of novel therapeutic targets to fight or prevent metastatic disease has been hampered by the limited availability of clinically relevant mouse models of metastasis formation. To address this caveat, we developed a novel preclinical mouse model of spontaneous metastatic breast cancer that recapitulates the key biological events of the metastatic cascade and mimics the clinical course of metastatic disease in humans. Exploiting the conditional K14cre;CdhF/F;Trp53F/F mouse model of de novo mammary tumor formation, we orthotopically transplanted K14cre;CdhF/F;Trp53F/F derived mouse invasive lobular carcinoma (mILC) fragments into mammary glands of wild-type syngeneic hosts. Once recipient mammary tumors were established, we mimicked the clinical setting and performed a mastectomy. Following surgery, recipient mice eventually succumbed to wide-spread clinically overt metastatic disease in lymph nodes, lungs and gastrointestinal tract. Using aCGH analyses, we explored the relationship between the genomic profiles of mammary donor tumors and paired recipient outgrowths and observed a strong correlation, indicating that the genomic profile of the parental K14cre;CdhF/F;Trp53F/F mILC is highly conserved in recipient mammary tumors. To investigate the genomic relationship between recipient mammary tumors and their metastases, we examined the correlation structure of genomic profiles derived from paired sets of primary tumors and metastases. Genomic profiles of clonally-related recipient mammary tumors were highly conserved in local and distant metastases, indicating that few genomic alterations occur during transition from a primary tumor to a distant site. To more thoroughly examine potential site-specific genomic alterations, we constructed so-called ‘delta-profiles’ by calculating the difference between the genomic profile of a recipient mammary tumor and its paired lymph node- and lung metastasis. Site-specific recurrent alterations were not observed in lymph node nor lung metastases. Taken together, these data show that genomic profiles of metastases are highly similar to those of parental recipient tumors and that, if changes occurred, they did not recur in different independent samples.
2011-12-23 | GSE34666 | GEO
Project description:Feline mammary carcinoma (FMC) is a prevalent and aggressive cancer with high metastatic potential. Few tissue biomarkers have been reported to help evaluate disease progression in FMC. This study aimed to analyze the tissue proteomic profiles of metastatic feline mammary carcinoma (mFMC) and non-metastatic FMC (NmFMC) across various histological grades (HGs) and histological types (HTs) using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
2024-06-19 | PXD053213 | JPOST Repository
Project description:MHC-II peptidome of the CNS reveals endogenous guardian peptides
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Project description:MDA-MB-231 human breast cancer cells were injected orthotopiclly into mammary glands 4 of female NOD SCID mice 4-weeks after sub-cutaneous implantation of human femoral bone chips. Primary tumour, bone chips containing metastatic deposits and naive bone chips were isolated and mRNA analysed for gene expression to determine genetic signitures associated with breast cancer bone metastasis.
2019-09-24 | GSE137842 | GEO
Project description:[original title] Metastatic Canine Mammary Carcinomas can be Identified by a Gene Expression Profile that partly Overlaps with Human Breast Cancer Profiles. Introduction: Similar to human breast cancer mammary tumors of the female dog are commonly associated with a fatal outcome due to the development of distant metastases. However, the molecular defects leading to metastasis are largely unknown and the value of canine mammary carcinoma as a model for human breast cancer is unclear. In this study, we analyzed the gene expression signatures associated with mammary tumor metastasis and asked for parallels with the human equivalent. Methods: Messenger RNA expression profiles of twenty-seven lymph node metastasis positive or negative canine mammary carcinomas were established by microarray analysis. Differentially expressed genes were functionally characterized and associated with molecular pathways. The findings were also correlated with published data on human breast cancer. Results: Metastatic canine mammary carcinomas had 1,011 significantly differentially expressed genes when compared to non-metastatic carcinomas. Metastatic carcinomas had a significant up-regulation of genes associated with cell cycle regulation, matrix modulation, protein folding and proteasomal degradation whereas cell differentiation genes, growth factor pathway genes and regulators of actin organization were significantly down-regulated. Interestingly, 265 of the 1,011 differentially expressed canine genes are also related to human breast cancer and, vice versa, parts of a human prognostic gene signature were identified in the expression profiles of the metastatic canine tumors. Conclusions: Metastatic canine mammary carcinomas can be discriminated from non-metastatic carcinomas by their gene expression profiles. More than one third of the differentially expressed genes are also described of relevance for human breast cancer. Many of the differentially expressed genes are linked to functions and pathways which appear to be relevant for the induction and maintenance of metastatic progression and may represent new therapeutic targets. Furthermore, dogs are in some aspects suitable as a translational model for human breast tumors in order to identify prognostic molecular signatures and potential therapeutic targets.
2010-12-01 | GSE20718 | GEO
Project description:Background: Cervical lymph node metastasis is a potent prognostic factor in oral squamous cell carcinoma (OSCC). However, lymph nodes resected by sentinel node biopsy or neck dissection are usually diagnosed by examining only one or two sections of the maximal cut surface. Accurate diagnosis of the metastasis in lymph nodes is important but depends on a heavy workload of the pathologist. In this study, we have attempted to identify novel molecular markers to find the harboring cancer cells in the lymph node and establish rapid detection method. Methods: We determined the gene expression profiles of 7 metastatic lymph nodes from patients with OSCC and 1 normal lymph node and 5 salivary glands from non-cancerous patients by microarray analysis. We found the overexpression genes in all metastatic lymph nodes. Subsequently, we examined the expression of these genes in newly 23 metastatic lymph nodes and 9 normal lymph nodes by real-time quantitative RT-PCR (qRT-PCR) assay. Moreover, the rapid detection of lymph node metastasis by these genes was examined using the reverse transcription loop-mediated isothermal amplification (RT-LAMP) method. Result: Among the 4 genes identified by microarray analysis, annexin A8 (ANXA8) and desmoglein 3 (DSG3) were detected in all metastatic lymph nodes at a much higher level but not in normal lymph nodes at all by qRT-PCR. Furthermore, RT-LAMP method targeting ANXA8 rapidly detected almost lymph nodes with metastasis. Conclusions: ANXA8 could be a useful marker for detecting lymph node metastasis in OSCC. Using AB1700 system, we determined the gene expression profiles of lymph nodes with metastasis of OSCC. Normal lymph node and salivary gland tissues were used as control samples.
2015-12-21 | E-GEOD-70604 | biostudies-arrayexpress
Project description:Cervical-vaginal fluid (CVF) covers the lower part of the female reproductive system and functions in the homeostasis and immunity of the surrounding tissues. The proteome of this proximal fluid has mainly been studied in pregnant women, whereas the CVF proteome of non-pregnant women has not been analyzed in great detail. The CVF peptidome has not been reported to date. In the current study, we separated pooled CVF samples from healthy non-pregnant women into proteomic and peptidomic fractions, followed by mass spectrometry analysis. In total, we identified 1,087 unique proteins in CVF, of which 801 proteins were not previously identified. The presence of the tissue specific proteins oviductal glycoprotein-1 (OVGP-1) and tubulin polymerization-promoting protein family member 3 (TPPP3) in CVF strongly suggests that the tissues of the upper female reproductive tract contribute to the protein composition of CVF. The tremendous catalytic potential of CVF was highlighted by the identification of 85 proteases. The majority of identified proteases belong to the serine protease catalytic type. Over 1,000 endogenous peptides were detected in the CVF peptidome, and 39 peptides are predicted to have antimicrobial activity. The detailed proteomic and peptidomic analysis of CVF will further aid in the delineation of physiological and pathobiological pathways related to reproduction, immunity and host defense, and assist in developing new biomarkers for malignant and other diseases of the female reproductive tract.
2017-09-27 | PXD004363 | Pride
Project description:In recent years, several approaches have been taken in the peptide-based immunotherapy of metastatic renal cell carcinoma (RCC), although little is known about HLA presentation on metastases compared to primary tumor and normal tissue of RCC. In this study we compared primary tumor, normal tissue and metastases with the aim of identifying similarities and differences between these tissues. We performed this comparison for two RCC patients on the level of the HLA ligandome using mass spectrometry and for three patients on the level of the transcriptome using oligonucleotide microarrays. The quantitative results show that primary tumor is more similar to metastasis than to normal tissue, both on the level of HLA ligand presentation and mRNA. We were able to characterize a total of 142 peptides in the qualitative analysis of HLA-presented peptides. Six of them were significantly overpresented on metastasis, among them a peptide derived from CD151; fourteen were overpresented on both primary tumor and metastasis compared to normal tissue, among them an HLA ligand derived from tumor protein p53. Thus, we could demonstrate that peptide-based immunotherapy might affect tumor as well as metastasis of RCC, but not healthy kidney tissue. Furthermore we were able to identify several peptides derived from tumor-associated antigens that are suitable for vaccination of metastatic RCC. Three clear cell renal cell carcinomas including autologous normal tissue and autologous metastasis were analyzed. This dataset is part of the TransQST collection.
2008-09-03 | E-GEOD-12606 | biostudies-arrayexpress