Biomarker use is associated with reduced clinical trial failure risk in metastatic melanoma

The Effect of Biomarkers on Clinical Trial Risk in Gastric Cancer

OBJECTIVES

This study examined clinical trial success rates for new drug developments in gastric cancer since 1998. We also examined the clinical trial design features that may mitigate the risk of clinical trial failure.

MATERIALS AND METHODS

Clinical trial data was obtained from clinicaltrials.gov. Drugs were included if they entered testing between January 1, 1998 and January 1, 2022 and were excluded if they did not have a completed phase I trial or treated secondary effects of gastric cancer. Transition probabilities were calculated for each phase and compared with industry averages. Success rates were determined based on biomarker usage, drug target, type of therapy, and drug chemistry.

RESULTS

Upon screening 1990 trials, 219 drugs met our inclusion criteria. The probability of a drug completing all phases of testing and obtaining FDA approval was 7%, which is below the 11% industry average. The use of biomarkers in clinical development resulted in nearly a 2-fold increase in the cumulative success rate. Biologics also exhibited higher success rates (17%) as opposed to small molecules (1%). This was true even when we compared both drug types that shared the same target. When comparing only receptor-targeted therapies, biologics (62%) continued to outperform small molecules (18%). Similarly, when narrowed down to drugs targeting solely HER2 receptors, biologics continued to prevail (64% vs. 24%).

CONCLUSIONS

Implementing biomarkers, receptor-targeted therapies, and biologics in clinical development improves clinical trial success rates in gastric cancer. Thus, physicians should prioritize the enrollment of gastric cancer patients in clinical trials that incorporate the aforementioned features.

The Effect of Biomarker Use on the Speed and Duration of Clinical Trials for Cancer Drugs

Background

The purpose of this study was to explore the effects biomarkers have on the duration and speed of clinical trials in oncology.

Materials and Methods

Clinical trial data was pooled from www.clinicaltrials.gov within the 4 cancer indications of non-small cell lung cancer, breast cancer, melanoma, and colorectal cancer. Heatmaps of clinical timelines were used to display differences in the frequency and timing of clinical trials across trials that used or did not use biomarkers, for all 4 indications.

Results

Screening of 8630 clinical trials across the 4 indications yielded 671 unique drugs corresponding to 1224 eligible trials used in our analysis. The constructed heatmaps visually represented that biomarkers did not have an effect on the time gap between trial phases for non-small cell lung cancer and melanoma but did for colorectal and breast cancer trials, reducing the speed of trial timelines. It was also observed that biomarker trials were more often concurrent over shorter periods of time and began later in the timeline for non-small cell lung and colorectal cancers.

Conclusion

The novel visualization method revealed longer gaps between trial phases, later clinical trial start times, and shorter periods of concurrently run trials for drugs that used biomarkers. The study highlights that biomarker-driven trials might impact drug approval timelines and need to be considered carefully in clinical development plan.

Does biomarker use in oncology improve clinical trial failure risk? A large-scale analysis

Purpose

To date there has not been an extensive analysis of the outcomes of biomarker use in oncology.

Methods

Data were pooled across four indications in oncology drawing upon trial outcomes from www.clinicaltrials.gov: breast cancer, non‐small cell lung cancer (NSCLC), melanoma and colorectal cancer from 1998 to 2017. We compared the likelihood drugs would progress through the stages of clinical trial testing to approval based on biomarker status. This was done with multi‐state Markov models, tools that describe the stochastic process in which subjects move among a finite number of states.

Results

Over 10000 trials were screened, which yielded 745 drugs. The inclusion of biomarker status as a covariate significantly improved the fit of the Markov model in describing the drug trajectories through clinical trial testing stages. Hazard ratios based on the Markov models revealed the likelihood of drug approval with biomarkers having nearly a fivefold increase for all indications combined. A 12, 8 and 7‐fold hazard ratio was observed for breast cancer, melanoma and NSCLC, respectively. Markov models with exploratory biomarkers outperformed Markov models with no biomarkers.

Conclusion

This is the first systematic statistical evidence that biomarkers clearly increase clinical trial success rates in three different indications in oncology. Also, exploratory biomarkers, long before they are properly validated, appear to improve success rates in oncology. This supports early and aggressive adoption of biomarkers in oncology clinical trials.

Empowering phase II clinical trials to reduce phase III failures

The large number of failures in phase III clinical trials, which occur at a rate of approximately 45%, is studied herein relative to possible countermeasures. First, the phenomenon of failures is numerically described. Second, the main reasons for failures are reported, together with some generic improvements suggested in the related literature. This study shows how statistics explain, but do not justify, the high failure rate observed. The rate of failures due to a lack of efficacy that are not expected, is considered to be at least 10%. Expanding phase II is the simplest and most intuitive way to reduce phase III failures since it can reduce phase III false negative findings and launches of phase III trials when the treatment is positive but suboptimal. Moreover, phase II enlargement is discussed using an economic profile. As resources for research are often limited, enlarging phase II should be evaluated on a case-by-case basis. Alternative strategies, such as biomarker-based enrichments and adaptive designs, may aid in reducing failures. However, these strategies also have very low application rates with little likelihood of rapid growth.

Clinical and Regulatory Aspects of Companion Diagnostic Development in Oncology

Nearly 20 years have passed since the US Food and Drug Administration (FDA) approved the first companion diagnostic and today this type of assay governs the use of 21 different anticancer drugs. The regulators deem these assays essential for the safe and effective use of a corresponding therapeutic product. The companion diagnostic assays are important both during the drug development process as well as essential treatment decision tools after the approval of the drugs.

Eyes absent gene (EYA1) is a pathogenic driver and a therapeutic target for melanoma

EYA1 is a DNA repair enzyme that is induced after DNA damage and is upregulated in melanoma. However, its role in pathogenesis and therapeutic targeting of melanoma is unknown. Our objectives are (1) to study the relationship between EYA1 expression levels and melanoma patients’ clinical pathologic parameters including survival; (2) to investigate its impact on cultured melanoma cells in vitro; and (3) to evaluate EYA1 inhibitors’ potential as a treatment of melanoma.

Melanoma tissue microarrays were used to assess EYA1 protein expression in 326 melanoma tissues, and to correlate the expression with patients’ clinical pathological parameters. In addition, retroviral ShRNA vectors were used to silence expression of EYA1 in A375 melanoma cells, and the resultant cells examined for changes in growth, DNA synthesis, and tumor formation in vitro. Lastly, melanoma cells were treated with benzbromarone with or without the BRAF inhibitor vemurafenib.

Our results showed that EYA1 protein is low in benign nevi, but is significantly up-regulated in melanoma in situ, and remains high in invasive and metastatic melanoma. In addition, silencing of EYA1 gene expression resulted in decreased proliferation and colony formation. These were associated with decreased cyclin D1 and increased phosphorylated histone protein γH2AX. Finally, treatment with benzbromarone, a specific inhibitor of EYA1, caused significant inhibition of melanoma cell proliferation, and increased sensitivity to the BRAF inhibitor vemurafenib.

In conclusion, EYA1 gene is a pathogenic driver in melanoma pathogenesis. Targeting EYA1 may be a valuable strategy for treatment of melanoma.

Molecular Markers and Targeted Therapeutics in Metastatic Tumors of the Spine: Changing the Treatment Paradigms

STUDY TYPE

A review of the literature.

OBJECTIVE

The aim of this study was to discuss the evolution of molecular signatures and the history and development of targeted therapeutics in metastatic tumor types affecting the spinal column.

SUMMARY OF BACKGROUND DATA

Molecular characterization of metastatic spine tumors is expected to usher in a revolution in diagnostic and treatment paradigms. Molecular characterization will provide critical information that can be used for initial diagnosis, prognosticating the ideal treatment strategy, assessment of treatment efficacy, surveillance and monitoring recurrence, and predicting complications, clinical outcome, and overall survival in patients diagnosed with metastatic cancers to the spinal column.

METHODS

A review of the literature was performed focusing on illustrative examples of the role that molecular-based therapeutics have played in clinical outcomes for patients diagnosed with metastatic tumor types affecting the spinal column.

RESULTS

The impact of molecular therapeutics including receptor tyrosine kinases and immune checkpoint inhibitors and the ability of molecular signatures to provide prognostic information are discussed in metastatic breast cancer, lung cancer, prostate cancer, melanoma, and renal cell cancer affecting the spinal column.

CONCLUSION

For the providers who will ultimately counsel patients diagnosed with metastases to the spinal column, molecular advancements will radically alter the management/surgical paradigms utilized. Ultimately, the translation of these molecular advancements into routine clinical care will greatly improve the quality and quantity of life for patients diagnosed with spinal malignancies and provide better overall outcomes and counseling for treating physicians.

LEVEL OF EVIDENCE

N/A.

MED27 promotes melanoma growth by targeting AKT/MAPK and NF-κB/iNOS signaling pathways

The inhibitors of BRAF and MEK targeting MAPK signaling pathway provide a comparatively effective therapeutic strategy for melanoma caused by BRAF mutation. However, melanoma, especially metastatic melanoma, has become one of the most threatening malignancies. Thus, the identification of exact molecular mechanisms and the key components involved in such mechanisms is urgently needed in order to provide new therapeutic options for patients with melanoma. Here, we identified MED27 as a potential melanoma target and explored its role and the associated molecular mechanism involved in melanoma progression. MED27 was found to be highly expressed in melanoma cells and tumor tissues. Its silencing led to melanoma cell proliferation inhibition, cell cycle arrest and apoptosis induction accompanied by the inactivation of PI3K/AKT and MAPK/ERK signaling and the activation of Bax/Cyto-C/Caspase-dependent apoptotic pathway. In addition, silencing of MED27 led to the decrease of iNOS expression through inhibiting the activation of a serial of upstream key proteins of NF-κB signaling pathway and the translocation of p50/p65 from cytoplasm to nucleus. MED27 was also found to be able to interact with NF-κB and p300 and to be acetylated by p300. Furthermore, the results in a xenograft tumor model indicated that melanoma progression was effectively suppressed by MED27 knockdown accompanied by the down-regulation of p-AKT, p-ERK, p-MEK1/2, MMP-9, Bcl-2 and iNOS expressions in the tumor tissues. Taken together, our study not only demonstrated the new function of MED27 as an oncogenic protein and the associated molecular mechanisms involved in melanoma progression, but also provided a possibility for the development of MED27 as a new anticancer target in melanoma therapy.

Clinical trial success rates of anti-obesity agents: the importance of combination therapies

The objective of this study was to construct a clinical trial profile assessing the risk of drug failure among anti-obesity agents. Research was conducted by looking at anti-obesity therapies currently on the market or in clinical trials (phases I to III) conducted from 1998 to September 2014, with the exclusion of any drugs whose phase I trial was conducted prior to January 1998. This was completed primarily through a search on http://clinicaltrials.gov where a total of 51 drugs met the search criteria. The transition probabilities were then calculated based on various classifications and compared against industry standards. The transition probability of anti-obesity agents was 8.50% whereas the transition probability of industry standards was 10.40%. Combination therapies had four times the transition probability than monotherapies, 40% and 4.75%, respectively. Therefore, it was determined that 92% of drugs fail during clinical trial testing for this indication and combination therapy appears to improve clinical trial success rates to 10-fold.