Abstract LB077: Adrenergic signaling induces neuroendocrine differentiation of prostate adenocarcinoma cells
Bibliographic record
Abstract
Abstract Prostate cancer is the leading cancer diagnosed among men worldwide. The prostate cancer-associated mortality is due to the development of aggressive neuroendocrine prostate cancer (NEPC). Unfortunately, there is no effective treatment available for NEPC at present. This is due to the lack of proper understanding of the molecular switch that triggers neuroendocrine changes in prostate adenocarcinoma cells. Recent research demonstrated that peripheral nerves promote prostate cancer progression and metastasis. However, there is no clear understanding of the involvement of sympathetic nerves or their signaling in facilitating NEPC. In this work, we examined the effect of the sympathetic neurotransmitter norepinephrine (NE) in inducing neuroendocrine differentiation (NED) of prostate cancer cells in vitro. We used androgen-sensitive LNCaP and androgen-insensitive DU145 cells for the study. We examined the dose and time-dependent effect of NE in inducing NED-related phenotypic alterations in these cells using bright field and fluorescence imaging. NED-related molecular alterations were assessed using real-time PCR, western bot and immunocytochemistry. We found that NE induces characteristic NEPC morphological changes, such as compact cell bodies and neurite-like extensions, in both DU145 and LNCaP cells. At the mRNA level, NE induced the expression of the NED markers chromogranin B, synaptophysin and βIII tubulin in both cell types. Further immunoblot and immunostaining showed the upregulation of chromogranin B in these cells. We repeated the experiments in growth factor deprived conditions by avoiding fetal bovine serum in the cultures to mimic growth deprivation to prostate cancer cells, which they experience during androgen deprivation therapy. Surprisingly, the NE induced NED changes were more pronounced in the growth factor deprived conditions. Overall, our result indicates the potential of NE in inducing NED in prostate cancer cells and point towards a critical role for this sympathetic neurotransmitter in facilitating the development of NEPC. Citation Format: Anand Krishnan, Shubham Dwivedi, Maricris Bautista, Tauqeer Iftikhar. Adrenergic signaling induces neuroendocrine differentiation of prostate adenocarcinoma cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB077.
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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) | 0.003 | 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".