LINC01121 Is Associated With Prognosis and Facilitates the Proliferation, Migration, and Invasion of Colorectal Cancer
Bibliographic record
Abstract
Background: The role of LINC01121 in the pathogenesis and prognosis of colorectal cancer (CRC) remains unknown. This study aimed to explore the function of LINC01121 in CRC development. Methods: Transcriptome expression data from The Cancer Genome Atlas (TCGA) database were utilized to investigate the relationship between LINC01121 and CRC prognosis through survival analysis. Samples from CRC patients and adjacent tissues were collected and analyzed to assess the expression differences between tumor and adjacent tissues. Functional assays such as Cell Counting Kit-8 (CCK8), EdU, scratch test, and Transwell assay were employed to determine the oncogenic role of LINC01121 in CRC cells. Additionally, gene enrichment analyses and immune infiltration analyses were conducted with R package. Results: The LINC01121 level was obviously higher in CRC tissues. The receiver operating characteristic (ROC) curve suggests that LINC01121 has significant diagnostic capabilities (area under the curve (AUC) = 0.659). High expression of LINC01121 predicted poor overall survival (OS) (P = 0.022), progression-free interval (PFI) (P = 0.007), and disease-specific survival (DSS) (P = 0.006). Gene Set Enrichment Analysis (GSEA) demonstrated that LINC01121-associated CRC encompasses various crucial pathways linked to tumorigenesis. The immune infiltration analyses revealed that LINC01121 may be involved in immune suppression. In vitro experiments demonstrated that LINC01121 facilitated the proliferation, migration, and invasion of CRC cells. Conclusion: LINC01121 exhibits elevated expression in CRC and correlates with unfavorable prognosis and reduced immune infiltration in CRC patients. These findings suggest that LINC01121 may serve as a potential marker for the diagnosis and prognosis of CRC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".