Dataset Information

Downregulation of KRAB zinc finger proteins in 5-fluorouracil resistant colorectal cancer cells

ABSTRACT: The radio-chemotherapy with 5-fluorouracil (5-FU) is the standard of care treatment for patients with locally advanced rectal cancer (LARC) but it is only effective for a third of them. The proteomic and transcriptomic response of three colorectal cancer (CRC) cell lines to 5-FU and radiation was assessed and correlated with their genetic background. The induction of a 5-FU-resistance in those cell lines negatively affects the levels of transcripts corresponding to Krüppel-associated box (KRAB)-containing zinc finger proteins (ZFPs), the largest family of transcriptional repressors. Among nearly 350 KRAB-ZFPs, almost a quarter are down-regulated after the induction of a 5-FU-resistance including a common one between the three CRC cell lines, ZNF649, whose role is still unknown. This proteomic, transcriptomic and genomic analysis of intrinsic and acquired resistance highlights possible new mechanisms involved in resistance to treatment and therefore potential new therapeutic targets to overcome this resistance.

INSTRUMENT(S): timsTOF Pro

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Colon Cancer

SUBMITTER: Francois-Michel Boisvert

LAB HEAD: François-Michel Boisvert

PROVIDER: PXD020000 | Pride | 2022-05-19

REPOSITORIES: Pride

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Dataset's files

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			Action	DRS
	Anais_DLD1_R_TMT_N1_vs_HCT116_R_TMT_N2_Slot2-4_1_1732.d.rar	Other
	Anais_DLD1_R_vs_HCT116_R_TMT_N3_Slot1-13_1_1784.d.rar	Other
	Anais_DLD1_R_vs_HT29_R_TMT_N2_Slot2-8_1_1736.d.rar	Other
	Anais_DLD1_S_vs_R_TMT_N1_Slot2-2_1_1730.d.rar	Other
	Anais_DLD1_S_vs_R_TMT_N2_Slot2-6_1_1734.d.rar	Other

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Downregulation of KRAB zinc finger proteins in 5-fluorouracil resistant colorectal cancer cells.

Chauvin Anaïs A Bergeron Danny D Vencic Jean J Lévesque Dominique D Paquette Benoit B Scott Michelle S MS Boisvert François-Michel FM

BMC cancer 20220404 1

Radio-chemotherapy with 5-flu orouracil (5-FU) is the standard of care treatment for patients with colorectal cancer, but it is only effective for a third of them. Despite our understanding of the mechanism of action of 5-FU, drug resistance remains a significant limitation to the clinical use of 5-FU, as both intrinsic and acquired chemoresistance represents the major obstacles for the success of 5-FU-based chemotherapy. In order to identify the mechanism of acquired resistance, 5-FU chemoresis ...[more]

PMID: 35379199

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Project description:Background: Colorectal cancer is the third most common and the fourth most lethal cancer in the world. In the majority of cases, patients are diagnosed at an advanced stage or even metastatic, thus explaining the high mortality. The standard protocol for treating patients with locally advanced non-metastatic colorectal cancer (CRC) is neoadjuvant radio-chemotherapy (NRCT) with 5-fluorouracil (5-FU), but the resistance rate to this treatment remains high with approximately 30% of non-responders. The lack of evidence available in clinical practice to predict NRCT resistance to 5-FU and to guide clinical practice therefore encourages the search for biomarkers of this resistance. Methods: From twenty-three formalin-fixed paraffin-embedded (FFPE) biopsies performed before NRCT with 5-FU of locally advanced non-metastatic CRC patients, we extracted and analysed the tumor proteome of these patients. From clinical data, we were able to classify the twenty-two patients in our cohort into three treatment response groups: non-responders (NR), partial responders (PR) and total responders (TR), and to compare the proteomes of these different groups. Results: We have highlighted 384 differentially expressed proteins between NR and PR, 248 between NR and TR and 417 between PR and TR. Among these proteins, we have identified many differentially expressed proteins identified as having a role in cancer (IFIT1, FASTKD2, PIP4K2B, ARID1B, SLC25A33: overexpressed in TR; CALD1, CPA3, B3GALT5, CD177, RIPK1: overexpressed in NR). We have also identified that DPYD, the main degradation enzyme of 5-FU, was overexpressed in NR, as well as several ribosomal and mitochondrial proteins also overexpressed in NR. Conclusions: From these retrospective study, we implemented a protein extraction protocol from FFPE biopsy to highlight protein differences between different response groups to RCTN with 5-FU in patients with locally advanced non-metastatic CRC. These results will pave the way for a larger cohort for better sensitivity and specificity of the signature to guide decisions in the choice of treatment.

Project description:Claret2009 - Predicting phase III overall survival in colorectal cancer This model is described in the article: Model-based prediction of phase III overall survival in colorectal cancer on the basis of phase II tumor dynamics. Claret L, Girard P, Hoff PM, Van Cutsem E, Zuideveld KP, Jorga K, Fagerberg J, Bruno R. J. Clin. Oncol. 2009 Sep; 27(25): 4103-4108 Abstract: PURPOSE: We developed a drug-disease simulation model to predict antitumor response and overall survival in phase III studies from longitudinal tumor size data in phase II trials. METHODS: We developed a longitudinal exposure-response tumor-growth inhibition (TGI) model of drug effect (and resistance) using phase II data of capecitabine (n = 34) and historical phase III data of fluorouracil (FU; n = 252) in colorectal cancer (CRC); and we developed a parametric survival model that related change in tumor size and patient characteristics to survival time using historical phase III data (n = 245). The models were validated in simulation of antitumor response and survival in an independent phase III study (n = 1,000 replicates) of capecitabine versus FU in CRC. RESULTS: The TGI model provided a good fit of longitudinal tumor size data. A lognormal distribution best described the survival time, and baseline tumor size and change in tumor size from baseline at week 7 were predictors (P < .00001). Predicted change of tumor size and survival time distributions in the phase III study for both capecitabine and FU were consistent with observed values, for example, 431 days (90% prediction interval, 362 to 514 days) versus 401 days observed for survival in the capecitabine arm. A modest survival improvement of 39 days (90% prediction interval, -21 to 110 days) versus 35 days observed was predicted for capecitabine. CONCLUSION: The modeling framework successfully predicted survival in a phase III trial on the basis of capecitabine phase II data in CRC. It is a useful tool to support end-of-phase II decisions and design of phase III studies. This model is hosted on BioModels Database and identified by: MODEL1708310001. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.