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pmid:34961985

MCAM is associated with metastasis and poor prognosis in osteosarcoma by modulating tumor cell migration.

Xiaotian Du · Qin Zhang · Siyuan Wang · Xiao Chen · Yue Wang

Journal of clinical laboratory analysis · 2022 doi:10.1002/jcla.24214

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

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:34961985
kind
science-record
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sha256:2332b2594dc38c1f374894d4b5999344fa17c3bf6ec1e246b92b8b94639bc3a5
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T17:36:40Z
updated_at
2026-11-01T21:26:52Z
generator object · 2 fields
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paper object · 10 fields
state
complete
title
MCAM is associated with metastasis and poor prognosis in osteosarcoma by modulating tumor cell migration.
doi
10.1002/jcla.24214
pmid
34961985
authors array · 5 items
[0]
Xiaotian Du
[1]
Qin Zhang
[2]
Siyuan Wang
[3]
Xiao Chen
[4]
Yue Wang
journal
Journal of clinical laboratory analysis
year
2022
abstract
BACKGROUND: Although there are standard treatment options for osteosarcoma (OS), the prognoses of patients with OS remain varied. Therefore, it is important to profile OS patients at a high risk of mortality to develop focused interventions. Although tumor biomarkers are closely associated with clinical outcomes, data on prognostic biomarkers for OS remain scarce. METHODS: We collected RNA expression profiles and clinical data of 90 OS patients from the GEO database (dataset GSE21257 and GSE39055) and 96 patients in the TARGET program. The data were analyzed using univariate Kaplan-Meier survival analysis to screen candidate gene sets that might be associated with OS survival. RESULTS: Our analysis demonstrated that melanoma cell adhesion molecule (MCAM) was associated with overall survival of patients with OS in the three cohorts. The data showed that MCAM was upregulated in OS patients who had metastases within 5 years compared to those without metastases. GO analysis revealed that genes correlated with MCAM were mainly involved in cell migration and wound healing processes. In addition, wound healing assays and gene set enrichment analysis results from RNA sequencing data of small interfering (si)-MCAM-transfected OS cells demonstrated that MCAM modulated tumor cell migration. CONCLUSIONS: Our data demonstrate that MCAM may be a novel prognostic biomarker for OS. MCAM is associated with increased cell migration ability and risk of metastasis, thus leading to poor prognoses in OS patients.
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KM univariate survival analysis was used to screen survival‐related candidate genes in OS.
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null
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sections[10] "Statistical analysis" paragraph 2
quote
KM univariate survival analysis was used to screen survival‐related candidate genes in OS.
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sections[23] "DATA AVAILABILITY STATEMENT" paragraph 2
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Notably, higher expression of the MCAM gene was associated with worse prognosis of OS patients in each of the studied OS cohorts (Figure 1G–I).
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sections[13] "Higher MCAM expression associated with poor OS prognosis" paragraph 2
quote
Notably, higher expression of the MCAM gene was associated with worse prognosis of OS patients in each of the studied OS cohorts (Figure 1G–I).
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complete
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Notably, higher expression of the MCAM gene was associated with worse prognosis of OS patients in each of the studied OS cohorts (Figure 1G–I).
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Expression data from conventional osteosarcoma compared to primary non-neoplastic osteoblast cells
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Gene expression profiles of human osteosarcoma
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Genome-wide gene expression profiling on pre-chemotherapy biopsies of osteosarcoma patients who developed metastases within 5yrs (n=34) and patients who did not develop metastases within 5yrs (n=19)
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2026-11-01T15:39:54Z
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14951
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Homo sapiens
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mRNA profiling and clinical outcomes in human osteosarcoma (biopsies)
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2026-11-01T15:39:54Z
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Expression data from canine osteosarcoma stem cells
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KM univariate survival analysis was used to screen survival‐related candidate genes in OS.
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nd gene set enrichment analysis results from RNA sequencing data of small interfering (si)-MCAM-transfec
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quencing data of small interfering (si)-MCAM-transfected OS cells demonstrated that MCAM modulated tu
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MATERIALS AND METHODS Cell culture and transfection The human OS cell line 143B was purchased fr
[2]
, NO.ZQ‐303) at 37°C in a 5% CO2 atmosphere. Transfection was performed at a cell density of 60% in a
[3]
7007, respectively) using Lipofectamine 2000 transfection reagent (Invitrogen; Thermo Fisher Scientifi
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nology (NO.ZQ0455). The cells were routinely cultured in complete culture medium (ZhongQiaoXinZhou, N
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KM univariate survival analysis was used to screen survival‐related candidate genes in OS.
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Complete file
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Therefore, it is important to profile OS patients at a high risk of mortality to develop focused interventions. Although tumor biomarkers are closely associated with clinical outcomes, data on prognostic biomarkers for OS remain scarce.\nMETHODS: We collected RNA expression profiles and clinical data of 90 OS patients from the GEO database (dataset GSE21257 and GSE39055) and 96 patients in the TARGET program. The data were analyzed using univariate Kaplan-Meier survival analysis to screen candidate gene sets that might be associated with OS survival.\nRESULTS: Our analysis demonstrated that melanoma cell adhesion molecule (MCAM) was associated with overall survival of patients with OS in the three cohorts. The data showed that MCAM was upregulated in OS patients who had metastases within 5 years compared to those without metastases. GO analysis revealed that genes correlated with MCAM were mainly involved in cell migration and wound healing processes. In addition, wound healing assays and gene set enrichment analysis results from RNA sequencing data of small interfering (si)-MCAM-transfected OS cells demonstrated that MCAM modulated tumor cell migration.\nCONCLUSIONS: Our data demonstrate that MCAM may be a novel prognostic biomarker for OS. 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