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pmid:38824581

Identification and diagnostic potential of hsa_circ_101303 in colorectal cancer: unraveling a regulatory network.

Ke-Zhi Li · Xiao-Min Liao · Si-Qi Li · Hao-Tang Wei · Zhi-Jian Liang · Liu-Xin Ge · Su-Fang Zhou · Bang-Li Hu

BMC cancer · 2024 doi:10.1186/s12885-024-12458-5

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:38824581
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science-record
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2026-11-01T19:20:47Z
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2026-11-01T22:54:26Z
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paper object · 10 fields
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title
Identification and diagnostic potential of hsa_circ_101303 in colorectal cancer: unraveling a regulatory network.
doi
10.1186/s12885-024-12458-5
pmid
38824581
authors array · 8 items
[0]
Ke-Zhi Li
[1]
Xiao-Min Liao
[2]
Si-Qi Li
[3]
Hao-Tang Wei
[4]
Zhi-Jian Liang
[5]
Liu-Xin Ge
[6]
Su-Fang Zhou
[7]
Bang-Li Hu
journal
BMC cancer
year
2024
abstract
BACKGROUND: The role of novel circular RNAs (circRNAs) in colorectal cancer (CRC) remains to be determined. This study aimed to identify a novel circRNA involved in CRC pathogenesis, assess its diagnostic value, and construct a regulatory network. METHODS: Differential expression analysis was conducted using circRNA datasets to screen for differentially expressed circRNAs. The expression of selected circRNAs was validated in external datasets and clinical samples. Diagnostic value of plasma circRNA levels in CRC was assessed. A competing endogenous RNA (ceRNA) network was constructed for the circRNA using TCGA dataset. RESULTS: Analysis of datasets revealed that hsa_circ_101303 was significantly overexpressed in CRC tissues compared to normal tissues. The upregulation of hsa_circ_101303 in CRC tissues was further confirmed through the GSE138589 dataset and clinical samples. High expression of hsa_circ_101303 was associated with advanced N stage, M stage, and tumor stage in CRC. Plasma levels of hsa_circ_101303 were markedly elevated in CRC patients and exhibited moderate diagnostic ability for CRC (AUC = 0.738). The host gene of hsa_circ_101303 was also found to be related to the TNM stage of CRC. Nine miRNAs were identified as target miRNAs for hsa_circ_101303, and 27 genes were identified as targets of these miRNAs. Subsequently, a ceRNA network for hsa_circ_101303 was constructed to illustrate the interactions between the nine miRNAs and 27 genes. CONCLUSIONS: The study identifies hsa_circ_101303 as a highly expressed circRNA in CRC, which is associated with the progression of the disease. Plasma levels of hsa_circ_101303 show promising diagnostic potential for CRC. The ceRNA network for hsa_circ_101303 provides valuable insights into the regulatory mechanisms underlying CRC.
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Differential expression analysis was then carried out on the GSE126094 dataset using the “limma” package to identify differentially expressed circRNAs (DEcircRNAs) between tumor and control tissues.
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sections[3] "The acquisition of circRNA datasets in CRC" paragraph 2
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Differential expression analysis was then carried out on the GSE126094 dataset using the “limma” package to identify differentially expressed circRNAs (DEcircRNAs) between tumor and control tissues.
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The data used to support the findings of this study are available from the corresponding author upon reasonable request.
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Differential expression analysis identified hsa_circ_101303 as significantly overexpressed in CRC tissues compared with normal tissues.
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Analysis of datasets revealed that hsa_circ_101303 was significantly overexpressed in CRC tissues compared to normal tissues.
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Differential expression analysis identified hsa_circ_101303 as significantly overexpressed in CRC tissues compared with normal tissues.
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Hsa_circ_101555 functions as a competing endogenous RNA of miR-597-5p to promote colorectal cancer progression [Circular RNAs]
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circRNA expression data from human colorectal cancer tissues and the correponding non-cancerous tissues
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Differential expression analysis was then carried out on the GSE126094 dataset using the “limma” package to identify differentially expressed circRNAs (DEcircRNAs) between tumor and control tissues.
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cance (P > 0.05). Further validation through RT-qPCR assay on 60 CRC tumor tissues and correspond
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ce (P > 0.05). Further validation through RT-qPCR assay on 60 CRC tumor tissues and correspond
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Differential expression analysis was then carried out on the GSE126094 dataset using the “limma” package to identify differentially expressed circRNAs (DEcircRNAs) between tumor and control tissues.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38824581", "kind": "science-record", "revision": 5, "content_hash": "sha256:b2d2a6e8546caf90927335b835209d14737b69693f1eed81486578d36369e2c0", "created_at": "2026-11-01T19:20:47Z", "updated_at": "2026-11-01T22:54:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and diagnostic potential of hsa_circ_101303 in colorectal cancer: unraveling a regulatory network.", "doi": "10.1186/s12885-024-12458-5", "pmid": "38824581", "authors": ["Ke-Zhi Li", "Xiao-Min Liao", "Si-Qi Li", "Hao-Tang Wei", "Zhi-Jian Liang", "Liu-Xin Ge", "Su-Fang Zhou", "Bang-Li Hu"], "journal": "BMC cancer", "year": 2024, "abstract": "BACKGROUND: The role of novel circular RNAs (circRNAs) in colorectal cancer (CRC) remains to be determined. This study aimed to identify a novel circRNA involved in CRC pathogenesis, assess its diagnostic value, and construct a regulatory network.\nMETHODS: Differential expression analysis was conducted using circRNA datasets to screen for differentially expressed circRNAs. The expression of selected circRNAs was validated in external datasets and clinical samples. Diagnostic value of plasma circRNA levels in CRC was assessed. A competing endogenous RNA (ceRNA) network was constructed for the circRNA using TCGA dataset.\nRESULTS: Analysis of datasets revealed that hsa_circ_101303 was significantly overexpressed in CRC tissues compared to normal tissues. The upregulation of hsa_circ_101303 in CRC tissues was further confirmed through the GSE138589 dataset and clinical samples. High expression of hsa_circ_101303 was associated with advanced N stage, M stage, and tumor stage in CRC. Plasma levels of hsa_circ_101303 were markedly elevated in CRC patients and exhibited moderate diagnostic ability for CRC (AUC = 0.738). The host gene of hsa_circ_101303 was also found to be related to the TNM stage of CRC. Nine miRNAs were identified as target miRNAs for hsa_circ_101303, and 27 genes were identified as targets of these miRNAs. Subsequently, a ceRNA network for hsa_circ_101303 was constructed to illustrate the interactions between the nine miRNAs and 27 genes.\nCONCLUSIONS: The study identifies hsa_circ_101303 as a highly expressed circRNA in CRC, which is associated with the progression of the disease. Plasma levels of hsa_circ_101303 show promising diagnostic potential for CRC. 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Further validation through RT-qPCR assay on 60 CRC tumor tissues and correspond", "ce (P > 0.05). Further validation through RT-qPCR assay on 60 CRC tumor tissues and correspond"], "order_basis": "paper_text_order:5718", "id": "assay:1"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Differential expression analysis was then carried out on the GSE126094 dataset using the “limma” package to identify differentially expressed circRNAs (DEcircRNAs) between tumor and control tissues."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}