TRPM2 Silencing Causes G2/M Arrest and Apoptosis in Lung Cancer Cells via Increasing Intracellular ROS and RNS Levels and Activating the JNK Pathway
Bibliographic record
Abstract
BACKGROUND/AIMS: The oxidative stress sensor transient receptor potential melastatin-2 (TRPM2) ion channel has recently gained attention in many types of cancer. The lung tissue is highly susceptible to oxidative stress-mediated injury and diseases; therefore, we aimed to determine whether TRPM2 plays an essential role in protecting lung cancer cells from oxidative damage while promoting cancer cell survival and metastasis. METHODS: We used two non-small cell lung (NSCLC) cell lines A549 and H1299 as a lung cancer model. We investigated the functional expression of TRPM2 using electrophysiology, qRT-PCR and Western blots. CFSE and flow cytometry were used to study TRPM2 role in proliferation, cell cycle and apoptosis. Gap closure chambers and Three-Tiered Chemotaxis Chamber were used to study the role of TRPM2 in metastasis. SCID mice were used to study the role of TRPM2 in lung tumor growth and metastasis. RESULTS: we demonstrate that TRPM2 is functionally expressed in NSCLC cells and that its downregulation significantly inhibits cell proliferation and promotes apoptosis. These results were concomitant with an induction in DNA damage and G2/M cell cycle arrest. TRPM2 silencing inhibits also lung cancer cells invasion ability and alters EMT processes. Mechanistically, TRPM2 downregulation causes an increase in the intracellular levels of reactive oxygen (ROS) and nitrogen (RNS) species, which in turn causes DNA damage and JNK activation leading to G2/M arrest, and an ultimate cell death. Finally, TRPM2 downregulation suppresses the growth of human lung tumour xenograft in SCID mice and TRPM2 depleted tumours exhibited a significant reduction in the mRNA expression level of EMT markers compared to the control tumors. CONCLUSION: Our data provide new insights on the functional expression of TRPM2 in lung cancer, its essential role in tumour growth and metastasis through the control of JNK signaling pathway, and that TRPM2 could be exploited for targeted lung cancer therapies.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".