1. The Significance of Repurposing
Every year, millions of people around the world are diagnosed with cancer, and sadly, many lose their lives to this devastating disease. Globally in 2020, hematological malignancy incidence was almost 1.3 million and mortality was over 700,000, making hematological cancers the fourth highest in terms of cancer mortality [
1]. Multiple myeloma (MM) accounts for more than 12% of all hematologic cancers. MM is a complex form of cancer that can be challenging to diagnose and treat. It is a malignancy of plasma B cells and originates in the bone marrow (BM). Despite advancements in treatments, MM remains an incurable disease as itwill inevitably progress or develop resistance to treatments in all patients. Optomistically speaking, however, therapeutic advancements could potentially increase life expectancy for MM patients, addressing both current and future challenges.
Drug research and development, especially in the realm of cancer drugs, have experienced remarkable changes in recent decades. Year after year, the collection of medications to combat cancer continues to grow. Nevertheless, there are a number of challenges that need to be addressed before a drug can be brought to market. These include the extensive drug development process, the significant expenses associated with drug research, the possibility of adverse events, and the limited efficacy of new treatments. In the field of cancer treatment, the search for effective lead compounds has long followed a well-established process. This involves conducting extensive pre-clinical and clinical research to carefully assess and document the compounds' pharmacological properties, anti-cancer effects, and potential toxicity (
Figure 1).
Despite the advancements in technology and our improved understanding of human disease, the translation of these advantages into therapeutic breakthroughs has been disappointingly slow [
3,
4]. The global pharmaceutical industry faces a multitude of challenges, such as high attrition rates [
5,
6], evolving regulations, and prolonged time to market for new drugs in certain therapeutic fields, all of which have led to increased costs. A prediction has been made that the return on investment for new drug development is expected to be less than one dollar for every dollar spent due to the increasing cost and time required for these endeavors [
7]. This could potentially reduce the attractiveness of the pharmaceutical industry as an investment option. As shown in
Figure 1, the process of developing a new medicine can span a decade or more and require a significant investment of billions of dollars [
8,
9]. Thus, it is crucial to explore alternative methods for drug development.
Drug repurposing, also referred to as drug repositioning, re-tasking, or reprofiling, is a strategy employed to uncover new therapeutic uses for medications that have already been approved, tested, or are currently available on the market. These medications were initially developed and trialed for different therapeutic purposes than the ones they are being explored for now. Compared to new drug development, the repurposing approach offers numerous advantages to the research and clinical fields. It can be described as finding alternative applications for familiar medications. Previous clinical trials have confirmed the safety, effectiveness, and efficiency of a drug, considering its pharmacokinetic, pharmacodynamic, and toxicological properties. As a result, it has gained popularity and become more accessible. Looking at a drug molecule from a fresh angle could help us uncover new possibilities for its therapeutic applications beyond the conventional ones. Repurposing a medicine that has already received approval for a different therapeutic indication requires less funding. The process of approving drugs through the repurposing approach is estimated to take anywhere from 3 to 12 years and cost between
$40 to
$80 million, which is significantly lower than the cost of the traditional drug development method [
10,
11]. In addition, it is anticipated that the repurposing pathway will have a higher approval rate for medications, estimated at around 30%, compared to the typical drug development method which only yields 10% [
11]. Once failures are taken into consideration, these advantages can lead to a faster and safer return on investment for the development of repurposed pharmaceuticals, along with lower average development costs. Only a small fraction, around 5%, of oncology treatments that qualify for phase 1 clinical trials end up getting the green light from the FDA. The chances of potential anticancer therapies being approved are even more dismal, with only 1 in 5,000-10,000 making the cut [
12]. Through the implementation of a drug repurposing strategy, it becomes feasible to bypass the initial phase and make swift progress to subsequent phases of clinical trials, resulting in a reduction of concerns related to pharmacodynamics [
12]. Therefore, there is a strong attraction towards methods that optimize the utilization of information from drugs that have already been approved and brought to market [
13]. In the end, repurposed pharmaceuticals have the potential to uncover new targets and pathways for further exploration. Therefore, researchers are currently focusing on exploring new pharmacological action mechanisms that have emerged from unexpected clinical trial findings. These findings have sparked interest in bridging the gap between clinical practice and laboratory research. Various preclinical investigations are conducted to validate the claim of a new pharmacological indication. This approach focuses on addressing chronic illnesses such as diabetes, cancer, and other rare disorders [
13]. There are numerous benefits to repurposing pharmaceuticals in general. This approach is both compelling and practical, especially in today's era in which deep data mining technologies are readily accessible. The frequent approval of repurposed pharmaceuticals suggests that the technique of repurposing has a minimal risk of drug failure, as most of the drugs being repurposed undergo thorough safety testing. The drug repurposing sectors have experienced consistent growth from a business perspective, with approximately 14-16 new companies emerging every five years [
14,
15].
MM is an incurable cancer in which relapse inevitably occurs even for patients in remission. Typically, the primary treatment for newly diagnosed MM includes bortezomib (a proteasome inhibitor), lenalidomide (an immunomodulatory agent), dexamethasone (a corticosteroid)[
16]. This combination of drugs is termed the Vrd regimen and has shown to be effective in treatment of MM upfront [
16]. Patients may also undergo autologous stem cell transplantation, if deemed eligible, either initially or later within the treatment process [
16]. However, this regime is not permanently curative, and patients must switch drugs when they develop resistance. Malignant plasma cells display high levels of aberrant cell signaling pathways that prevent apoptosis and promote cell survival, ultimately leading to relapse. The NF-κB pathway is activated by cytokines, such as IL-6, and the binding of MM cells to bone marrow stromal cells [
17]. This pathway is inhibited by proteasome inhibitors and strongly linked with disease progression as it increases MM cell proliferation and resists apoptosis [
17]. Similarly, the antiapoptotic subgroup of Bcl-2 includes Mcl-1, Bcl-2, and Bcl-xL which are commonly overexpressed in MM and are shown to prevent intrinsic apoptosis by suppressing BH-3 activators and competing for binding Bax and Bak proteins [
18]. Interaction of myeloma cells with bone marrow microenvironment is integral to malignant myeloma cell proliferation and the development of resistance [
17]. Cytokines such as IL-6, IL-3, and IL-5 and growth factors such as VEGF and EGF trigger upregulation of intracellular pathways such as NF-κB, JAK/STAT, PI3-K/Akt, and Bcl-2 antiapoptotic proteins– all of which promote MM cell proliferation and therefore the development of resistance [
18].
MM therapy has stood out as an anomaly in terms of the typical balance between risks and benefits. Some medications used in anti-cancer chemotherapy and radiation have severe adverse effects that can be life-threatening. The primary objective of therapy in MM is to ensure the patient's survival. Overcoming resistance to treatment is a significant hurdle when it comes to developing a successful dosage plan. This review explores the potential of various medications to treat MM, highlighting the anticancer properties of conventional drugs such as thalidomide, statins, celecoxib, aspirin, artesunate, leflunomide, rapamycin, nelfinavir, valproic acid, metformin, bisphosphonates, and clarithromycin. We have compiled a comprehensive list of resources that may prove valuable for drug repurposing.
2. Pharmacological Repurposing Strategies and Tools
The drug repurposing strategy involves three stages that occur before a candidate drug progresses through the development pipeline. These stages include generating hypotheses to identify a potential molecule for a specific indication, assessing the drug's effects using preclinical models, and conducting phase II clinical trials to evaluate its efficacy (assuming sufficient safety data has been gathered from phase I trials conducted for the original indication). The first stage is crucial. We must select appropriate molecules whose mechanisms of action would negatively affect the malignant properties of MM cells. This is where contemporary methodologies for generating hypotheses can be most advantageous. There are different types of systematic approaches, such as computational approaches and experimental approaches, that are being increasingly used together (
Figure 2). These two core domains encompass clinical data-driven drug repurposing. The majority of computational techniques rely heavily on data. These techniques generate hypotheses for repurposing by thoroughly analyzing various types of data, such as electronic health records (EHRs), genotyping, chemical structure, gene expression, or proteomic information [
19]. The process of signature matching involves comparing the unique characteristics or "signature" of a specific pharmaceutical compound with those of another compound, disorder, or clinical phenotype [
20,
21]. The creation of a drug's signature can be derived from three different sources of data: transcriptome (RNA), proteomic, or metabolomic data; chemical structures; or adverse event patterns.
After the initial sketch of the human genome was produced through the human genome project, research and development expenses in OECD nations have increased by more than 50 percent [
22]. With the help of genomics, microbiomics, and metabolomics, it is possible to easily search for information on signal transduction pathways, systems biology, the safety and adverse effects of approved drug libraries, and the additional targets of approved pharmaceuticals. Methods rooted in systems biology, like the Genome-wide Positioning Systems network (GPSnet), are aiding in the comprehension of disease-gene-drug interactions, potentially facilitating drug repurposing for MM [
14,
23,
24,
25,
26,
27]. In addition, there are multinational collaborative programs, like Repurposing Drugs in Oncology (ReDO), that are working to accelerate the repurposing of non-cancer drugs for cancer treatment.
Table 1 provides supplementary information and tools that can assist in the drug-repurposing process. This text discusses the role of various technologies in studying signaling networks in cancer cells, particularly MM, and how this knowledge can be applied to understand the interactions between medicines, proteins, and genes. However, there are other techniques that can help in understanding adverse medication effects, disease-disease connections, and drug sensitivity of multiple cancer cells. These approaches can be used to repurpose any authorized or discontinued medicine for use in MM. The role of driver pathways in promoting the survival and proliferation of cancer cells is crucial, while bystander pathways offer support. Through the utilization of biological databases and systems biology technologies, it becomes feasible to identify driver pathways in MM. Subsequently, pre-existing drugs from drug libraries can be discovered, which possess the ability to target these driver pathways [
28].