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Record W3216145966 · doi:10.1093/neuonc/noab267

Low and steady wins the race: For melanoma brain metastases, is prevention better than a cure?

2021· letter· en· W3216145966 on OpenAlexaff
Agata Kieliszek, Nikoo Aghaei, Blessing Bassey‐Archibong, Sheila K. Singh

Bibliographic record

VenueNeuro-Oncology · 2021
Typeletter
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRace (biology)MelanomaMedicineInternal medicineOncologyCancer researchSociologyGender studies

Abstract

fetched live from OpenAlex

Over 50% of cancer patients with advanced melanoma develop brain metastases (BM) and ultimately succumb to this secondary disease within 12 months of diagnosis.1 The PI3K/Akt/mTOR (PAM) pathway has been widely implicated as a potential therapeutic target because it is upregulated in BM compared to primary tumors and extracranial metastases.2–4 However, PAM pathway inhibitors with promising preclinical results fail to achieve intracranial response in clinical trials when treating established BM.5 In this issue of Neuro-Oncology, Tehranian et al use advanced molecular in vivo imaging techniques to establish the importance of PAM pathway activation in early-stage BM formation and show that a preventative therapy is an effective alternative to treating established BM (Figure 1).2 The idea of BM prevention is already being explored within the field, with one active clinical trial using temozolomide to prevent BM in breast cancer patients.6 Findings from the present study could therefore have extensive implications for a disease that is currently largely incurable. PAM pathway inhibition during early-stage brain colonization via a preventative low-dose schedule reduces the growth rate and survival of brain metastases compared to a conventional treatment schedule. The metastatic cascade is a multistep process laden with many lethal barriers to circulating tumor cells, with the early steps of brain colonization being the most rate-limiting.7 It is therefore plausible that targeting early steps of BM, rather than attempting to treat an established tumor, could halt BM formation more effectively. Using a green fluorescent Akt biosensor with real-time in vivo monitoring, Tehranian et al observed that circulating tumor cells rapidly activate the PAM pathway during early brain colonization.2 Only cells with high Akt activity in the intravascular stage successfully extravasated and colonized the perivascular niche, while cells with low Akt activity exhibited permanent arrest and never extravasated. These findings are supported by other studies that implicate the PAM pathway in BM; Ippen et al showed that the dual PI3K/mTOR pathway inhibitor GDC-0084 achieves antitumor effects in breast BM,8 while Chen et al used molecular profiling to demonstrate an increased expression of PI3K/Akt activation markers in BM compared to extracranial metastases.9 The apparent essentiality for the activation of certain pathways to complete brain colonization adds another level of complexity to the metastatic cascade, supporting the notion that prevention may be easier to achieve than a cure. Since recent clinical data showed insufficient responses of PAM pathway inhibitors against established BM, the authors hypothesized that such inhibitors may show better, more consistent therapeutic effects in early-stage melanoma BM. The authors addressed this hypothesis by using repetitive intravital multiphoton microscopy to investigate whether PAM inhibition is effective against early-stage brain colonization in vivo. GNE-317, a brain-penetrant dual PI3K/mTOR inhibitor, was administered 4-days post-intracardiac injection of brain metastatic melanoma cells. This preventative schedule significantly reduced the growth rate and survival of individual micrometastatic lesions compared to a treatment schedule. PI3K/mTOR inhibitors are generally associated with many adverse clinical side effects, most commonly hyperglycemia.2 The authors addressed this concern by administrating the drug at low-dose (10% of maximum-tolerated dose) and medium-dose (50% of maximum-tolerated dose) prevention schedules. While the medium-dose prevention schedule significantly increased blood glucose levels in their mouse model, the low-dose prevention schedule did not exhibit any significant side effects. Notably, both schedules resulted in comparable BM growth suppression, effectively showing that low-dose preventative inhibition can reduce common side effects of PAM pathway inhibitors while achieving comparable therapeutic benefit. Remarkably, the low-dose prevention schedule was seen to target the earliest steps of brain colonization, affecting both extravasation and early colonization of the perivascular niche. However, Tehranian et al noted that stopping treatment caused accelerated brain metastatic growth and argue that continuous low-dose drug administration would be essential for maximal BM suppression. Since clinical trials using the maximum-tolerated dose of PI3K/mTOR inhibitors on established BM report severe side effects, careful pharmacokinetic studies, and low-dose preventive schedules can improve the translational success of these inhibitors. Indeed, Tehranian et al demonstrate therapeutic efficacy against BM formation but reduced hyperglycemia in treated mice when low-dose drug concentrations were administered. These encouraging results should reinforce efforts toward the clinical development of preventative BM therapies, particularly those that show therapeutic benefit in preliminary secondary prevention trials. Future CRISPR-Cas9 knock-out studies would further elucidate the essentiality of the PAM pathway during extravasation and any on-/off-target effects of PI3K/mTOR inhibitors. It is important to address that PAM pathway inhibition was able to slow BM formation, rather than completely prevent it. Perhaps the most important next step in this research is addressing why some cells established BM even after the preventative inhibition, and how this cell population can be co-targeted to completely block BM. Furthermore, whether PAM pathway inhibition is specific for the early steps of brain colonization, or if it affects the viability of primary tumor cells too, remains to be seen. Pairing a preclinical primary melanoma model with preventative PAM pathway inhibition would test if BM were truly prevented. This proof-of-principle experiment might further indicate the importance of early prophylactic targeting of the PAM pathway in patients at risk of BM. Collectively, these findings broaden our understanding of the early, crucial steps of brain colonization and could have important implications for at-risk patients. However, the clinical development of preventative therapies still faces logistical challenges. The authors address the most obvious and logical next step of identifying melanoma patients at a high risk of BM development. These patients would need to tolerate the drug for a long period of time at low enough dosage to maintain maximum therapeutic benefit while avoiding significant side effects. Although prognostic factors that identify high-risk patients remain to be fully elucidated, genomic profiling efforts report novel drivers of select metastatic disease.10 The next step would be to discern how long it is feasible to administer a preventative therapy and identifying the long-term effects of continuous administration. This high-risk, high-reward approach to unraveling the intricacies of a preventative therapy is crucial to address this unmet clinical need. Disrupting the metastatic cascade during brain colonization could slow BM outgrowth with far-reaching implications for diagnostics and prognostics. The findings of this study could provide at-risk patients with less toxic therapy options and better prognostic outcomes, and ultimately translate into other types of anti-metastatic therapies. We thank C. Venugopal, S. Chafe, and D. Mobilio for assisting in the review of the manuscript discussed here and contributing ideas toward this editorial. This text is the sole product of the authors and no third party had input or gave support to its writing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.050
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0050.003
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0500.043
Insufficient payload (model declined to judge)0.0100.004

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.

Opus teacher head0.032
GPT teacher head0.318
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations1
Published2021
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