Two inflammasomes as tumour markers for nonmelanocytic skin cancer: new hopes for early detection and targeted therapy
Bibliographic record
Abstract
Abstract Nonmelanoma skin cancer (NMSC) refers to the most common skin cancers, including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Therefore, dependable biomarkers could benefit early predictive diagnosis and become therapy targets. Recent findings have implicated the role of inflammasomes, including (NLRP1 and NLRP3), in skin carcinogenesis. This literature review shall further examine and summarize whether NLRP1 and NLRP3 inflammasomes could be potential tumour markers of NMSC. The literature in this area is synthesized, with the aim of providing a broad understanding of the issue concerning skin cancer. A complete literature search of PubMed, Google Scholar and Web of Science was conducted including publications covering the period January 2000–May 2024. Fifteen relevant articles were included and helped to shed light on the roles of NLRP1 and NLRP3 in NMSC. The included articles comprised original research articles and review papers. In the context of tumour regression and progression, low expression of the NLRP1 inflammasome indicated an increase in metastasis and recurrence in patients with NMSC. Skin cancer is facilitated by a germline mutation in NLRP1. NLRP1 inflammasomes have become a focal point in skin biology as mutations in NLRP1 contribute to the genetic basis of dermatological diseases and heighten the risk of skin cancer. The role of the NLRP3 inflammasome, particularly activation associated with chronic inflammation and cancer progression, involves increased cytokine production and creation of a protumorigenic environment. The NLRP1 and NLRP3 inflammasomes are potential biomarkers for early detection, prognosis and therapeutic targets. Targeting inflammasomes could be a crucial strategy in alleviating skin inflammation, combating photoageing and decreasing the risk of epithelial skin tumour development. NLRP1 and NLRP3 inflammasomes are promising tumour markers for NMSC. A role in inflammation or tumour growth and metastasis provides a good rationale for early detection and prognosis, and targeted clinical applications. This study identifies NLRP1 and NLRP3 inflammasomes as potential biomarkers and therapeutic targets in NMSC, linking their altered expression to tumour progression and recurrence.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".