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pmid:41469955

Silencing TMEM105 suppresses gastric cancer cell growth and migration via proliferation-associated pathways.

Behnoosh Nikonezhad · Mobina Shahriarizade · Atefeh Zamani · Mohammad Mahdevar

BMC cancer · 2025 doi:10.1186/s12885-025-15522-w

Paper

complete

Experiment

complete

Data

partial

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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:41469955
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2026-11-01T20:31:26Z
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title
Silencing TMEM105 suppresses gastric cancer cell growth and migration via proliferation-associated pathways.
doi
10.1186/s12885-025-15522-w
pmid
41469955
authors array · 4 items
[0]
Behnoosh Nikonezhad
[1]
Mobina Shahriarizade
[2]
Atefeh Zamani
[3]
Mohammad Mahdevar
journal
BMC cancer
year
2025
abstract
BACKGROUND: Numerous studies in the field of cancer indicate that long non-coding RNAs (lncRNAs) play a significant role in the development and malignancy of various cancers. In this study, the expression changes of TMEM105 in gastric cancer (GC) and its association with malignancy were examined. METHODS: In the in silico section, TMEM105 expression in GC and its correlation with patient prognosis were analyzed using publicly available datasets. Using WGCNA analysis on TCGA data, modules and potential pathways associated with TMEM105 were identified. Expression changes of TMEM105 in GC tissues compared with adjacent healthy tissues were analyzed by RT-qPCR. The expression level of TMEM105 in GC cell lines, including AGS and MKN-45, was modulated using siRNA. The relationship between TMEM105 expression and malignant characteristics, including cell proliferation, migration, and colony formation, was examined in these cell lines. RESULTS: TMEM105 was significantly upregulated in public datasets, including TCGA, GSE19826, and GSE54129. TMEM105 expression was associated with advanced disease stage and poor prognosis. WGCNA analysis revealed that TMEM105 expression clustered with genes related to cell proliferation, such as E2F target genes, within the same module. Silencing TMEM105 reduced the viability of GC cell lines and decreased mRNA expression of proliferation-related genes, including E2F1, Cyclin D1, and Ki-67. Silencing TMEM105 markedly reduced migration rates in GC cells. Moreover, TMEM105 expression affected the colony-forming ability of these cell lines. CONCLUSION: High TMEM105 expression in GC is associated with poorer patient outcomes. It appears to influence cellular proliferation and contribute to the development and malignancy of gastric carcinoma. Consequently, TMEM105 could be a valuable therapeutic and prognostic target.
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A Cox regression analysis was conducted to examine the association between TMEM105 expression and clinical outcomes. Further evaluation was carried out using Kaplan–Meier survival curves. For the Kaplan–Meier analysis, TCGA tumor samples were divided into high- and low-expression groups based on the median TMEM105 expression level. The log-rank test was employed to determine statistical significance in all survival analyses.
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sections[5] "Survival analysis" paragraph 2
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A Cox regression analysis was conducted to examine the association between TMEM105 expression and clinical outcomes. Further evaluation was carried out using Kaplan–Meier survival curves. For the Kaplan–Meier analysis, TCGA tumor samples were divided into high- and low-expression groups based on the median TMEM105 expression level. The log-rank test was employed to determine statistical significance in all survival analyses.
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No datasets were generated or analyzed during the current study. The present investigation examined information from publicly accessible databases.
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Analysis of public TCGA and GEO datasets found that TMEM105 was significantly upregulated in gastric cancer, and high expression was associated with advanced stage and poor prognosis.
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Cox regression analysis revealed that high TMEM105 expression was associated with poor prognosis (hazard ratio = 1.29; P = 0.01). Moreover, Kaplan-Meier analysis indicated that samples with higher TMEM105 expression had a significantly lower survival rate (Fig. 1H; P = 0.02).
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TMEM105 was significantly upregulated in public datasets, including TCGA, GSE19826, and GSE54129. TMEM105 expression was associated with advanced disease stage and poor prognosis.
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sections[15] "Increased expression ofTMEM105in GC and its association with advanced stage and poor patient survival" paragraph 2
quote
Cox regression analysis revealed that high TMEM105 expression was associated with poor prognosis (hazard ratio = 1.29; P = 0.01). Moreover, Kaplan-Meier analysis indicated that samples with higher TMEM105 expression had a significantly lower survival rate (Fig. 1H; P = 0.02).
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Analysis of public TCGA and GEO datasets found that TMEM105 was significantly upregulated in gastric cancer, and high expression was associated with advanced stage and poor prognosis.
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A Cox regression analysis was conducted to examine the association between TMEM105 expression and clinical outcomes. Further evaluation was carried out using Kaplan–Meier survival curves. For the Kaplan–Meier analysis, TCGA tumor samples were divided into high- and low-expression groups based on the median TMEM105 expression level. The log-rank test was employed to determine statistical significance in all survival analyses.
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th adjacent healthy tissues were analyzed by RT-qPCR. The expression level of TMEM105 in GC cell
[1]
adjacent healthy tissues were analyzed by RT-qPCR. The expression level of TMEM105 in GC cell
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adjacent healthy samples are presented using RT-qPCR. TMEM105 expression was significantly higher
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A Cox regression analysis was conducted to examine the association between TMEM105 expression and clinical outcomes. Further evaluation was carried out using Kaplan–Meier survival curves. For the Kaplan–Meier analysis, TCGA tumor samples were divided into high- and low-expression groups based on the median TMEM105 expression level. The log-rank test was employed to determine statistical significance in all survival analyses.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41469955", "kind": "science-record", "revision": 4, "content_hash": "sha256:2b0baf9255c95305af2a763e3e01a8203957a0506e14c0381071ea9a00662a19", "created_at": "2026-11-01T20:31:26Z", "updated_at": "2026-11-01T22:57:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Silencing TMEM105 suppresses gastric cancer cell growth and migration via proliferation-associated pathways.", "doi": "10.1186/s12885-025-15522-w", "pmid": "41469955", "authors": ["Behnoosh Nikonezhad", "Mobina Shahriarizade", "Atefeh Zamani", "Mohammad Mahdevar"], "journal": "BMC cancer", "year": 2025, "abstract": "BACKGROUND: Numerous studies in the field of cancer indicate that long non-coding RNAs (lncRNAs) play a significant role in the development and malignancy of various cancers. In this study, the expression changes of TMEM105 in gastric cancer (GC) and its association with malignancy were examined.\nMETHODS: In the in silico section, TMEM105 expression in GC and its correlation with patient prognosis were analyzed using publicly available datasets. Using WGCNA analysis on TCGA data, modules and potential pathways associated with TMEM105 were identified. Expression changes of TMEM105 in GC tissues compared with adjacent healthy tissues were analyzed by RT-qPCR. The expression level of TMEM105 in GC cell lines, including AGS and MKN-45, was modulated using siRNA. The relationship between TMEM105 expression and malignant characteristics, including cell proliferation, migration, and colony formation, was examined in these cell lines.\nRESULTS: TMEM105 was significantly upregulated in public datasets, including TCGA, GSE19826, and GSE54129. TMEM105 expression was associated with advanced disease stage and poor prognosis. WGCNA analysis revealed that TMEM105 expression clustered with genes related to cell proliferation, such as E2F target genes, within the same module. Silencing TMEM105 reduced the viability of GC cell lines and decreased mRNA expression of proliferation-related genes, including E2F1, Cyclin D1, and Ki-67. Silencing TMEM105 markedly reduced migration rates in GC cells. Moreover, TMEM105 expression affected the colony-forming ability of these cell lines.\nCONCLUSION: High TMEM105 expression in GC is associated with poorer patient outcomes. It appears to influence cellular proliferation and contribute to the development and malignancy of gastric carcinoma. Consequently, TMEM105 could be a valuable therapeutic and prognostic target.", "claims": [{"id": "claim-method", "statement": "A Cox regression analysis was conducted to examine the association between TMEM105 expression and clinical outcomes. Further evaluation was carried out using Kaplan–Meier survival curves. For the Kaplan–Meier analysis, TCGA tumor samples were divided into high- and low-expression groups based on the median TMEM105 expression level. The log-rank test was employed to determine statistical significance in all survival analyses.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41469955", "locator": "sections[5] \"Survival analysis\" paragraph 2", "quote": "A Cox regression analysis was conducted to examine the association between TMEM105 expression and clinical outcomes. Further evaluation was carried out using Kaplan–Meier survival curves. For the Kaplan–Meier analysis, TCGA tumor samples were divided into high- and low-expression groups based on the median TMEM105 expression level. The log-rank test was employed to determine statistical significance in all survival analyses."}], "state": "complete"}, {"id": "claim-data-access", "statement": "No datasets were generated or analyzed during the current study. The present investigation examined information from publicly accessible databases.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41469955", "locator": "sections[25] \"notes\" paragraph 1", "quote": "No datasets were generated or analyzed during the current study. The present investigation examined information from publicly accessible databases."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Analysis of public TCGA and GEO datasets found that TMEM105 was significantly upregulated in gastric cancer, and high expression was associated with advanced stage and poor prognosis.", "kind": "quantitative", "target": {"value": 1.29, "unit": "hazard ratio", "tolerance": null, "source": "Cox regression analysis revealed that high TMEM105 expression was associated with poor prognosis (hazard ratio = 1.29; P = 0.01). Moreover, Kaplan-Meier analysis indicated that samples with higher TMEM105 expression had a significantly lower survival rate (Fig. 1H; P = 0.02)."}, "evidence": [{"asset": "source:pmid:41469955", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "TMEM105 was significantly upregulated in public datasets, including TCGA, GSE19826, and GSE54129. TMEM105 expression was associated with advanced disease stage and poor prognosis."}, {"asset": "source:pmid:41469955", "locator": "sections[15] \"Increased expression ofTMEM105in GC and its association with advanced stage and poor patient survival\" paragraph 2", "quote": "Cox regression analysis revealed that high TMEM105 expression was associated with poor prognosis (hazard ratio = 1.29; P = 0.01). Moreover, Kaplan-Meier analysis indicated that samples with higher TMEM105 expression had a significantly lower survival rate (Fig. 1H; P = 0.02)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Analysis of public TCGA and GEO datasets found that TMEM105 was significantly upregulated in gastric cancer, and high expression was associated with advanced stage and poor prognosis.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:41469955"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE19826"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE19826"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41469955", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12885-025-15522-w", "sha256": "sha256:e01df82f8ed334adba8286b611e80b638266bc66936e9ef26d29827ba6a8574e", "bytes": 32962, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12885-025-15522-w", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12866457", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE19826", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE19826", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE19826", "version": null, "note": "No datasets were generated or analyzed during the current study. The present investigation examined information from publicly accessible databases.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "No datasets were generated or analyzed during the current study. 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