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Genes
  • Review
  • Open Access

28 October 2025

Glycolytic Reprogramming in Uterine Fibroids: Genetic, Transcriptomic, Proteomic, and Metabolomic Insights

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and
1
Division of Reproductive Sciences and Women’s Health Research, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
2
Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
3
Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
*
Author to whom correspondence should be addressed.
This article belongs to the Section Human Genomics and Genetic Diseases

Abstract

Uterine leiomyomas or fibroids are a common but pernicious benign tumor impacting between 70–80% of women of reproductive age. Despite their high prevalence, the etiology of uterine fibroids is not fully understood. This review aims to highlight the distinct metabolic features that uterine fibroids adopt to meet biosynthetic demands, support proliferation, extracellular matrix production, survival, and fibrosis. Specifically, we posit the role of glycolytic reprogramming—an adaptation in fibrosis across organs (lung, kidney, heart, and liver) as a major contributor to uterine fibroid development. Previous genetic, transcriptomic, proteomic, and metabolic studies have drawn strong links between metabolism and uterine fibroid biology and identified genotype-specific metabolic alterations such as fumarate hydratase (FH) deficiency and mediator of RNA polymerase II transcription (MED12) gene mutations. Studies in non-uterine models have linked glycolysis to ECM production and fibrosis through activation of transforming growth factor-beta (TGF-β) and the canonical Wnt pathway (Wnt/β-catenin) signaling, supporting them as potential key pathways in uterine fibroid pathogenesis via glycolytic reprogramming. Other metabolic regulators, such as hypoxia-inducible factor 1-alpha (HIF-1α), mammalian target of rapamycin (mTOR), and phosphoinositide 3-kinase/protein kinase B (PI3K/Akt), may also sustain the fibrotic phenotype through coupling signaling that drives ECM production to metabolic programming. Overall, the proposed metabolic perspective of uterine fibroid pathogenesis invites further exploration of mechanistic investigation in uterine-specific models and therapeutic targeting through larger cohort studies.

1. Introduction

Uterine leiomyomas or fibroids are the most prevalent benign tumors of the uterus and arise in reproductive-aged women [1]. It is estimated that by age 50, over 70% of White women and over 80% of Black women will develop fibroids [2]. Black women are disproportionately affected, often experiencing an earlier onset of disease with larger and more numerous fibroids, contributing to a substantial symptomatic burden [3]. Common symptoms include prolonged, heavy, or irregular menstrual bleeding, pelvic pain or pressure, and abdominal fullness or bloating. Symptoms are clinically present in 25–50% of patients and vary based on fibroid size, number, and location [4]. Furthermore, fibroids constitute a significant psychosocial stressor and are linked to several patient-reported health disabilities, including poor quality of life [5]. Treatment options include pharmacologic therapy [6], radiologically guided interventions [7], and surgical options [8]. Notably, in many patients, medical management is inadequate, relegating patients to more invasive surgical solutions [9]. In fact, fibroids remain the leading indication for hysterectomy in the United States (US) and pose a significant burden to the national healthcare system, with combined direct and indirect costs estimated at 41.4 billion USD annually [10].
The development of uterine fibroids involves a combination of genetic, hormonal, and cellular factors. Genetic changes are thought to initiate tumor growth [11], while estrogen and progesterone drive continued enlargement during reproductive years [12]. Fibroids are also defined by excess extracellular matrix that increases both size and uterine stiffness [13]. More recently, stem cells in the myometrium have been implicated in sustaining fibroid growth [12]. Together, these processes underscore the complex biology and pathogenesis of fibroids and the continued difficulty of developing effective medical therapies.
Alongside these pathways, fibroids appear to adopt distinct metabolic features that help sustain their growth. One emerging concept is glycolytic reprogramming, a shift toward increased use of glycolysis for energy production when oxygen is available [14,15]. This adaptation supports both the energy demands and biosynthetic needs of rapidly growing tissue and may represent an underrecognized driver of fibroid biology.

2. Overview of Glycolytic Reprogramming

Metabolic reprogramming refers to a fundamental shift in cellular metabolism that enables cells to meet the increased bioenergetic and biosynthetic demands associated with rapid proliferation and survival under pathological conditions. Among these adaptations, glycolytic reprogramming, characterized by sustained reliance on glycolysis for energy production despite sufficient oxygen availability (the Warburg effect), has emerged as a hallmark of diverse disease states, including cancer and fibrotic disorders [14,15].
Under normal physiological conditions, glucose is efficiently metabolized through glycolysis, the tricarboxylic acid (TCA) cycle, and oxidative phosphorylation, yielding approximately 36–38 ATP molecules per glucose [14]. In contrast, cells undergoing glycolytic reprogramming preferentially convert glucose to lactate via aerobic glycolysis even under normoxic conditions, generating only ~2 ATP molecules per glucose [14]. Although energetically less efficient, this metabolic shift supports rapid ATP generation, supplies anabolic intermediates for macromolecular biosynthesis, and enhances cellular survival under stress.
This reprogramming is governed by transcriptional and signaling networks. Key transcription factors include hypoxia-inducible factor-1α (HIF-1α) and c-Myc, which upregulate glucose transporters (e.g., GLUT1, GLUT4), and glycolytic enzymes such as hexokinase II and pyruvate kinase M2 (PKM2) [14,16,17]. Additional critical regulatory pathways, such as mTOR, AMP-activated protein kinase (AMPK), and PI3K/Akt signaling, modulate glycolytic flux in response to nutrient availability and cellular energy status [17,18] (Figure 1).
Figure 1. Schematic representation of the Warburg effect.
Beyond energy production, glycolytic reprogramming fuels critical biosynthetic and redox processes. Glycolytic intermediates are diverted into nucleotide, amino acid, and lipid synthesis pathways to support cell growth [15]. The pentose phosphate pathway generates NADPH for reductive biosynthesis and antioxidant defenses. Additionally, increased lactate production can acidify the extracellular environment, altering cell-cell signaling, immune cell infiltration, and matrix remodeling. These features collectively promote apoptosis resistance and stress adaptation.
Emerging evidence demonstrates that aerobic glycolysis is essential for establishing and maintaining the fibrotic phenotype across multiple organ systems. In pulmonary fibrosis, activated myofibroblasts exhibit enhanced glycolytic metabolism that supports collagen synthesis, proliferation, and apoptosis resistance [19]. Renal fibrosis is characterized by metabolic reprogramming in tubular epithelial cells and interstitial fibroblasts, with enhanced glycolytic flux driving tissue scarring and loss of kidney function [20]. Similarly, cardiac fibrosis following myocardial injury involves glycolytic activation in cardiac fibroblasts [21], while hepatic stellate cells in liver fibrosis shift towards glycolysis to sustain extracellular matrix production [22]. This consistent pattern across organ systems highlights glycolytic reprogramming as a conserved metabolic adaptation that enables cells to meet the substantial bioenergetic and biosynthetic demands of pathological matrix deposition and tissue remodeling.
Understanding this metabolic shift lays the foundation for exploring its role in uterine fibroid pathogenesis, where glycolytic reprogramming may contribute to the enhanced proliferation, extracellular matrix accumulation, and survival of fibroid cells, which are hallmarks of these clinically significant benign tumors.

3. Role of Glycolytic Reprogramming in Uterine Fibroids: What Is Currently Known?

3.1. Genetic Insights

Fumarate hydratase (FH) or fumarase is a key enzyme in the TCA cycle that catalyzes the hydration of fumarate to L-malate. The FH gene, located on chromosome 1q42.3–43, is a tumor suppressor composed of 10 exons spanning 22.15 kb of DNA. More than 130 pathogenic variants have been identified, most commonly missense mutations, followed by frameshift and nonsense variants [23]. These alterations can occur in both somatic and germline contexts and cause loss of function of the FH enzyme. FH mutations are present in approximately 0.4–1.6% [24,25,26] of all uterine fibroids, and the estimated carrier frequency of pathogenic FH variants in the general population is about 1 in 2563 individuals. Most FH-deficient uterine fibroids result from somatic mutations, while only 2.7–13.9% of affected women carry a germline variant [27]. Importantly, heterozygous germline variants in FH confer susceptibility to hereditary leiomyomatosis and renal cell cancer (HLRCC), a rare autosomal dominant condition characterized by early-onset cutaneous and uterine leiomyomas as well as renal cysts and tumors [28].
Downstream of FH loss, fumarate accumulates and functions as an oncometabolite with broad effects on cellular metabolism and gene regulation [29] (Figure 2). One of the most-characterized consequences is inhibition of prolyl hydroxylases, enzymes that normally hydroxylate HIF-1α and target it for degradation. When fumarate blocks this process, HIF-1α stabilizes and accumulates in normoxic conditions, creating a pseudohypoxic state [16,30]. Stabilized HIF-1α activates transcriptional programs that increase glucose uptake and glycolytic enzyme expression [16], which is a pattern consistent with aerobic glycolysis and reflected in the enrichment of glycolytic genes in FH-deficient fibroids [31,32]. HIF activity extends into adaptive responses such as angiogenesis and resistance to cell death, further promoting fibroid growth within the local environment [16]. Beyond this, fumarate can inhibit other α-ketoglutarate-dependent dioxygenases, including histone and DNA demethylases (e.g., TET DNA demethylases, JmjC-domain histone demethylases), adding an epigenetic factor to the subsequent pathway [29,33]. These downstream effects result in broader transcriptional and cellular changes distinguishing FH-deficient fibroids.
Figure 2. Schematic representation of fumarate hydratase’s role as an oncometabolite.
As follows, researchers have hypothesized that fibroids harboring an FH mutation would exhibit distinct gene expression profiles, specifically in genes related to energy homeostasis and glucose metabolism. Vanharanta et al. (2006) [31] (Table 1) tested this hypothesis by examining changes in global gene expression secondary to FH mutations. They performed transcriptome profiling using Affymetrix U133A oligonucleotide microarrays on FH-deficient fibroids (n = 7), FH-wild type fibroids (n = 15), and patient-matched myometrium samples (n = 11) from patients in a Finnish tertiary academic center to identify differentially expressed genes between FH-deficient and FH wild-type and myometrial samples. The FH-deficient fibroids included tissue from syndromic cases (truncating germline mutation [541delAG]; n = 5 from a patient with HLRCC) and non-syndromic cases (somatic missense mutation 586G > A [Ala196Thr], n = 1; somatic splice-site mutation IVS4 + 3A > G, n = 1). They found 297 differentially expressed genes between FH-deficient and FH-wild type fibroids. Of those, genes involved in hexose metabolism were the most significantly enriched in the FH-deficient fibroid group (p = 1.7 × 10−9), including all ten glycolytic enzymes (p = 1.1 × 10−8). Similarly, when comparing FH-mutant fibroids with normal myometrium, glycolytic enzymes were the most significantly upregulated in the fibroid group (p = 1.3 × 10−7) [31].
Table 1. Overview of Multi-Omics Approaches to Glycolytic Reprogramming in Uterine Fibroids.
To further explore this, Catherino et al. (2007) [32] were interested in the molecular mechanisms maintaining energy homeostasis in FH-deficient uterine fibroids and investigated both glycolysis and Krebs cycle enzymes gene expression to identify potential compensatory effects. They measured differential gene expression using Affymetrix oligonucleotide microarrays (U133 chip), validated select targets with real-time reverse-transcription PCR on patient-matched fibroid and myometrial tissue samples from a patient with HLRCC (n = 3 specimens), and non-syndromic cases (n = 11). Specimens were obtained from individuals undergoing hysterectomy at a tertiary academic center in the United States. On microarray and cluster analysis of the tissues (using self-organizing map cluster analysis followed by dChip software analysis), the glycolysis cluster consistently showed altered expression. For example, fumarate hydratase was significantly downregulated in HLRCC fibroids compared to wild-type fibroids (measured as fold-change compared to matched-myometrium; p < 0.02), while several glycolysis enzymes were significantly upregulated, including hexokinase 1 (p < 0.01), phosphofructokinase (p < 0.01), aldolase (p < 0.01), triosephosphate isomerase (p < 0.01), phosphoglycerate kinase (p < 0.01), enolase, and pyruvate kinase (p < 0.01). Interestingly, however, there were no significant changes in the other Krebs cycle enzymes. Upon validation with real-time reverse-transcriptase PCR to quantitatively measure alterations in glycolysis enzymes and fumarate hydratase, results confirmed the microarray findings and showed that multiple glycolysis enzymes were overexpressed in HLRCC fibroids but not in nonsyndromic fibroids relative to patient-matched myometrium [32]. Notably, FH was underexpressed in both HLRCC fibroids and nonsyndromic fibroids, suggesting that FH downregulation may also occur in non-syndromic fibroids, warranting further investigation into metabolic alterations and adaptations of fibroids, even in the absence of FH mutations.

3.2. Transcriptomic Insights

Kwon et al. (2003) [34] conducted one of the earlier studies exploring differential gene expression in patient-matched fibroid-myometrium using cDNA analysis by DNA Chip. The researchers reported significantly greater expression of glycolysis enzymes, hexokinase 1 and hexokinase 2, in fibroid tissues related to myometrial tissues. Building on these initial findings, Alsamraae et al. (2025) [35] employed newer techniques such as whole-genome RNA sequencing (RNA-seq) to examine global gene expression and perform enriched pathway analyses of fibroid-myometrial tissue pairs among self-identified Black women (n = 6) in a United States tertiary academic center. The results supported the initial transcriptomic findings by demonstrating significant upregulation of the glycolysis pathway in fibroid tissue relative to myometrial tissue. Moreover, immunohistochemistry validation showed significantly greater monocarboxylate transporter 1 (MCT1) expression (a key transporter of lactate across cell membrane, facilitating lactate uptake and metabolism into cells under anaerobic conditions [39]; p < 0.05) coupled with significantly lower lactate dehydrogenase B (LDH-B) expression (an enzyme that catalyzes the reversible conversion of lactate to pyruvate with a greater affinity for lactate-to-pyruvate conversion under aerobic conditions [40]; p < 0.05) in fibroid tissue [35].
Taken together, these findings present preliminary evidence that glycolytic reprogramming plays a role in fibroid pathophysiology, even in the absence of FH mutation, to meet the metabolic and biosynthetic demands imposed by increased cellular proliferation and fibrosis.

3.3. Proteomic Insights

To further characterize molecular changes pertaining to glycolytic and other metabolic alterations in fibroids, Ura et al. (2016) [36] conducted a proteomic analysis to identify differentially expressed proteins in uterine fibroids compared to matched myometrial tissue. The researchers employed two-dimensional gel electrophoresis followed by mass spectrometry to analyze fibroid–myometrium tissue pairs from premenopausal women undergoing hysterectomy for symptomatic uterine fibroids in an Italian academic center (n = 8). Results demonstrated 24 protein spots that were significantly upregulated in fibroid tissue relative to myometrial tissue (defined as ≥1.5-fold change; p < 0.05). Of these, 12 proteins were linked to metabolic processes, including lipid metabolism, carbohydrate metabolism and oxidative phosphorylation, amino acid metabolism, nucleobase-containing compound metabolism, and protein metabolism. Specifically, in the context of glycolytic reprogramming, L-lactate dehydrogenase B chain (LDH-B) was upregulated in fibroid tissue (p = 0.014); this glycolytic enzyme catalyzes the reversible conversion of lactate to pyruvate and is involved in regenerating NAD+ from NADH. NAD+ is a cofactor for a number of glycolytic enzymes, and its regeneration is essential for sustaining glycolysis. Notably, these proteomic findings contrast with the previously mentioned transcriptomic and immunohistochemistry studies reporting lower LDH-B expression in fibroid tissue [36]. Such differences between RNA and protein abundance are not unexpected, as post-transcription and post-translational regulation can strongly influence enzyme stability and activity. This type of discrepancy has been observed in other disease contexts [41]. Rather than representing a true conflict, these findings suggest that LDH-B regulation in fibroids is context-dependent and multi-layered, with potential subtype-specific or microenvironmental influences.
Furthermore, the cytoplasmic isoform of malate dehydrogenase 1 (MDH1) was also significantly upregulated in fibroid tissue (p = 0.022) [36]. MDH1 catalyzes the conversion of oxaloacetate to malate while regenerating nicotinamide adenine dinucleotide (NAD+) from NADH in the process, effectively sustaining glycolysis. NAD+ plays a crucial role in glycolysis, in its capacity as an electron-carrier cofactor for glycolytic enzymes, including glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and pyruvate kinase M2 (PKM2) [42]. Although LDH is classically recognized for regenerating NAD+ to allow glycolysis to continue, Hanse et al. (2017) [43] demonstrated that cytosolic MDH1 activity serves as a complementary mechanism for NAD+ regeneration, thereby promoting further glycolytic influx. Aspartate aminotransferase (GOT1) was also significantly increased (p = 0.018) [36]; this enzyme facilitates the reversible transamination between aspartate and α-ketoglutarate and contributes to the malate-aspartate shuttle, which further supports NAD+ regeneration.

3.4. Metabolomic Insights

To correlate molecular changes associated with glycolytic reprogramming to a metabolic phenotype, Duz et al. (2025) [37] employed a metabolomic approach to identify dysregulated metabolites and metabolic pathways in uterine fibroids. They collected fibroid and patient-matched myometrial tissue samples (designated as UF-MYM) from patients undergoing hysterectomy as definitive treatment for uterine fibroids at an academic center in Turkey (n = 15). Additionally, they collected control myometrial samples (designated as C-MYM) from patients undergoing hysterectomy for other benign gynecological conditions (n = 14). High-resolution magic angle spinning (HR-MAS) NMR spectroscopy was performed, followed by multivariate statistical analysis (principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA)) to assess global metabolic differences between cases and controls, and univariate analyses to identify individual metabolites contributing to the aggregate separation. The researchers reported a partial metabolic distinction between the fibroid samples and UF-MYM tissues, as evidenced by the PCA (cumulative R2 = 0.71) and PLS-DA (R2 = 0.172; Q2 = 0.05) score plots. Interestingly, there was a more pronounced separation among the UF-MYM compared to the control myometrium with C-MYM (cumulative R2 = 0.74) and PLS-DA (R2 = 0.169; Q2 = 0.127) score plots. On univariate analysis, several metabolites showed significant differences between tissue groups. For example, glutamine, glutamate, acetone, and lactate were present at significantly higher levels in fibroid samples relative to UF-MYM but at significantly lower levels in UF-MYM compared to C-MYM. Moreover, although glucose levels were not statistically different between the fibroid and UF-MYM group, the latter had significantly lower glucose levels compared to C-MYM. Collectively, these results are consistent with enhanced glycolytic activity in fibroids, coupled with metabolic adaptations that reduce reliance on glycolysis for TCA intermediates, instead upregulating alternative energy substrates, such as glutamine, to sustain TCA activity. While the functional role of glutamine metabolism in fibroids has not been well established, evidence from other proliferative and fibrotic contexts shows that collagen synthesis depends on glutamine utilization. Lung fibroblasts require glutamine for collagen protein production [44], and cancer-associated fibroblasts use glutamine-derived proline for collagen deposition in vivo [45]. These parallels suggest that glutamine utilization may support collagen biosynthesis and matrix accumulation in fibroids. Thus, glutamine metabolism may represent a shared metabolic dependency across fibroid subtypes.
Metabolomic evidence also points to metabolic heterogeneity in uterine fibroids, which preliminarily correlates with the presence of the major genetic drivers of fibroid pathogenesis: FH loss and MED12 mutation [46]. For instance, Heinonen et al. (2017) confirmed TCA cycle dysregulation in fibroids harboring FH mutations, alongside an increased flux in the pentose phosphate pathway. On the other hand, ascorbic acid metabolite levels were decreased in fibroids with MED12 mutations [38]. Notably, ascorbic acid is a cofactor for prolyl hydroxylase, an enzyme that synthesizes collagen for deposition into the extracellular matrix [47,48]. Moreover, ascorbic acid depletion may reflect its role in other cellular adaptations, such as epigenetic regulation through its role as a cofactor for DNA and histone demethylases [47]. In contrast, other metabolic aberrations were consistent across all fibroid subtypes, such as altered heme metabolism [38]. Heme is an essential cofactor for cellular respiration and ATP production [49]. Importantly, increased influx through the heme metabolism pathway promotes the removal of accumulated TCA metabolites, a process particularly relevant in FH-deficient fibroids [50]. However, its role in other fibroid subtypes is less clear. Nevertheless, altered heme metabolism warrants further investigation and may represent a potential therapeutic target across leiomyoma subtypes.
These genetic, transcriptomic, proteomic, and metabolic data suggest that glycolytic reprogramming is not limited to the rare FH-deficient subtype but extends to more common fibroid variants, including those harboring MED12 mutations and HMGA2 overexpression. Heinonen et al. demonstrated that altered metabolite profiles and disrupted heme and ascorbate metabolism were shared across MED12 and wild-type fibroids, indicating a broader metabolic phenotype [38]. These converging multi-omics findings indicate that glycolytic reprogramming likely represents a generalizable driver of fibroid pathophysiology across genetic backgrounds, supporting proliferation, extracellular matrix accumulation, and survival.

5. Clinical and Therapeutic Implications

Glycolytic reprogramming represents a potential contributor to the clinical manifestations of fibroids. As previously described, glycolytic reprogramming can fuel extracellular matrix production. Fibroids contain approximately 50% more ECM than adjacent myometrium, and the resulting stiffness contributes to tumor growth and progression [99]. These structural changes contribute to heavy menstrual bleeding, pelvic pain, and uterine enlargement [100,101]. Submucous fibroids can additionally impair fertility through distortion of the uterine cavity [8]. By sustaining extracellular matrix production and stiffening, glycolytic reprogramming may directly exacerbate clinical symptoms such as heavy bleeding, pelvic pain, and infertility. Moreover, by maintaining proliferative and fibrotic signaling independently of estrogen and progesterone, glycolysis may contribute to treatment resistance, echoing mechanisms of hormone therapy escape described in other hormone-dependent tumors [102,103].
Given these clinical consequences, pathways that sustain glycolytic reprogramming may also represent promising therapeutic targets. Glycolytic reprogramming in fibroids is closely tied to hypoxia-responsive pathways, where transcriptional regulation is largely mediated by HIF-1α [104]. HIF-1α itself is a strong regulator of glycolysis, and angiogenesis has also been implicated in ECM production in fibrotic disease contexts [16,105]. Direct pharmacologic inhibition of HIF-1α has been studied in solid tumors such as pancreatic and prostate cancer. The HIF-1α inhibitor PX-478 suppresses glycolysis and angiogenesis in preclinical models and has started early-phase clinical evaluation in advanced malignancies [106,107]. These findings provide a precedent for suggesting that targeted HIF-1 α could represent a strategy to disrupt glycolytic reprogramming in fibroids, though this context has not been investigated.
In addition to broadly relevant regulators like HIF-1α, genotype-specific metabolic alterations may also provide therapeutic opportunities. For example, FH-deficient fibroids show heightened activation of the pentose phosphate pathway (PPP) and alterations offer therapeutic opportunities [38]. Glucose-6-phosphate dehydrogenase (G6PD) functions as one of the key rate-limiting enzymes in the PPP and has been studied as a therapeutic drug target. Pre-clinical oncology models have shown that pharmacological and genetic inhibition of G6PD reduces proliferation and disrupts NADPH-dependent redox metabolism [108,109]. This strategy has not been investigated in the fibroid context, but the heightened PPP activation suggests that targeting G6PD could represent another method of disrupting glycolytic reprogramming that contributes to fibrosis.

6. Conclusions

Evidence across genetic and molecular studies shows that uterine fibroids exhibit glycolytic reprogramming, a consistent feature that supports both cell growth and the buildup of extracellular matrix (ECM). This metabolic shift connects directly to well-known drivers of fibrosis, including TGF-β, Wnt/β-catenin, and YAP/TAZ signaling. Together, these interactions create a self-reinforcing cycle in which altered metabolism and fibrosis continually strengthen one another. This perspective indicates that metabolism is not merely a secondary effect but is directly involved in the processes that sustain fibroid growth. In practice, this highlights the potential for treatments that target glycolytic mechanisms, for example, by inhibiting lactate export, reducing pentose phosphate pathway activity in FH-deficient tumors, or combining metabolic and hormonal therapies. By framing glycolytic reprogramming as a core part of fibroid biology, future studies can move beyond hormone-centered models to include metabolic and other non-hormonal drivers. This approach opens the possibility of therapies that interrupt the metabolic–fibrotic loop, with the potential to reduce tumor growth and associated symptoms.

Author Contributions

Conceptualization, S.E.S. and M.B.; writing—original draft preparation, S.E.S., A.P., V.V. and R.M.; writing—review and editing, S.E.S., A.P., V.V., R.M. and M.B.; supervision, M.B.; funding acquisition, M.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded, in part, by National Institutes of Health grants R01HD094380 and R01HD111243.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

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