Detection of CTDNA after neoadjuvant chemotherapy predicts distant relapse-free survival, local and distant recurrence in TNBC: Findings from Tricia study
Bibliographic record
Abstract
Introduction: Exosomes are membranous vesicles (40-150 nm) that carry biological information to distant tissues, being able to regulate several tumor processes.They are a valuable tool that may represent a turning point in the clinical management of non-small cell lung cancer (NSCLC).Goals: Analyze plasma NSCLC derived exosomes cargo for searching new biomarkers that could improve NSCLC clinical management.Materials and methods: Plasma samples were collected from 36 patients with advanced-stage NSCLC.Exosomes were isolated from plasma by ExoGAG.Exosomal RNAs were extracted using exoRNeasy Midi Kit and were RNA integrity and concentration were assessed using the Agilent RNA Pico Chip.A transcriptomic multiplexed analysis using nCounter Low RNA Input Amplification Kit was performed to analyze mRNA of plasma-derived exosomes.Particularly, a human custom panel consisting of 30 genes was used to analyze plasma-derived EVs, including biomarkers associated with CSCs population, immune and drug response, proliferation and cell cycle, and other genes associated with lung cancer.Non-parametric Mann-Whitney U and Kruskal-Wallis tests were used to compare continuous variables.Prognostic value was determined by Kaplan-Meier curves.A p-value <0.05 was considered statistically significant.Results: Exosomal RNA fragments were in the range of 30-200 nt.Out of the 30 probes included in the custom panel, only 23 showed hybridization signals in more than one patient (3 probes corresponding to housekeeping genes were included).Out of the 36 plasmatic exosome samples, only 32 successfully completed the entire amplification, hybridization, and normalization process.Transcriptomic analysis of plasma NSCLC exosomes revealed that CD24 was significantly associated with gender and histology.Moreover, markers like MICA, RIOK3, S100A2 and MMP9 were significantly associated with histology, stage, mutational status, or response to therapeutic approaches, respectively.No significant association between these genes and the patients' RFS/OS (p>0.05) was found.Conclusions: In conclusion, our study aimed to analyze plasma-derived exosomes from NSCLC patients for identifying potential biomarkers.Exosomal RNA analysis revealed associations between certain genes and different clinical factors, though no significant correlations were found with patient survival.Further research is needed to validate these findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".