Skip to main content
Cell Death & Disease logoLink to Cell Death & Disease
. 2026 Mar 26;17(1):427. doi: 10.1038/s41419-026-08602-7

Tumor suppressor function of SHMT in a Drosophila RasV12DlgRNAi model: DNA damage and synergistic gene-nutrient interaction with PLP

Chiara Angioli 1,#, Angelo Ferriero 1,#, Eleonora Pilesi 1, Giulia Tesoriere 1, Beatrice Agostini 1, Angela Tramonti 2, Roberto Contestabile 3,4, Fiammetta Vernì 1,
PMCID: PMC13153359  PMID: 41888118

Abstract

Serine hydroxymethyltransferase (SHMT) is a key enzyme in one-carbon (1 C) metabolism, essential for nucleotide synthesis and epigenetic maintenance. In mammals, there are two distinct SHMT isozymes: the cytosolic SHMT1 and the mitochondrial SHMT2. Several studies report that high SHMT levels in cancer contribute to metabolic reprogramming. Conversely, a limited number of studies have linked decreased SHMT1 expression to the progression and poor prognosis of hepatocellular carcinoma and renal cell carcinoma, suggesting that SHMT may play dual roles as an oncogene or tumor suppressor, depending on the cellular context. However, the molecular mechanisms underlying SHMT tumor suppressor role remain unknown. In this work, we used the Drosophila RasV12DlgRNAi cancer model to investigate the effects of SHMT depletion on cancer progression and the associated mechanisms. We found that RNAi-mediated SHMT silencing promotes the progression of RasV12DlgRNAi cancers by impairing thymidylate biosynthesis in the folate pathway. SHMT depletion in RasV12DlgRNAi cells causes DNA and chromosome damage and renders these cells sensitive to genotoxic stressors such as X-rays or hydroxyurea. Genome instability is correlated with cancer progression, and it is largely due to the generation of reactive oxygen species (ROS) and, to a lesser degree, to replicative stress and compromised DNA repair mechanisms, all arising from SHMT depletion. Antioxidant treatment with N-acetyl cysteine (NAC) significantly reduces both DNA damage and tumor progression. Intriguingly, the combined depletion of SHMT and its cofactor pyridoxal 5’-phosphate (PLP) further increases oxidative stress, leading to extensive DNA damage that induces apoptosis in RasV12DlgRNAi cells, thereby limiting the tumor growth. Taken together, our data suggest that a diminished SHMT activity may drive the progression of RasV12DlgRNAi cancers through ROS-induced genome instability. Additionally, our study points to a novel gene-nutrient interaction, SHMT-PLP, that impacts cancer growth with potential therapeutic implications.

Subject terms: Cancer, Diseases

Introduction

The one carbon (1 C) metabolism is based on the activity of three interconnected pathways: the folate cycle, the methionine cycle, and the trans-sulfuration pathway [1]. In folate cycle the pyridoxal 5’-phosphate (PLP)-dependent enzyme serine hydroxymethyltransferase (SHMT, EC 2.1.2.1) catalyzes the reversible conversion of serine to glycine. This reaction concurrently transfers 1 C units to tetrahydrofolate (THF), yielding N5, N10-methylene THF [1]. This compound is then used for thymidylate (dTMP) synthesis by thymidylate synthase (TS or TYMS, EC 2.1.1.45). Alternatively, N5, N10-methylene THF can be reduced to methyl-THF which enters the methionine cycle to produce S-Adenosylmethionine (SAM or AdoMet), the major methyl group donor of the cell [2].

Two different SHMT genes exist in mammalian genomes: SHMT1, encoding the cytoplasmic isoform, and SHMT2, encoding the mitochondrial isoform [3]. Cytoplasmic SHMT1 enzyme regulates the de novo synthesis of purines and dTMP, and the remethylation of homocysteine to methionine. Mitochondrial SHMT2 produces 1 C units exported in the cytoplasm as formate to sustain the cytoplasmic 1 C metabolism. Thymidylate de novo synthesis takes place also in the nucleus supported by the activity of SUMOylated SHMT1, Dihydrofolate Reductase (DHFR), and TS proteins [3]. SHMT1 also behaves as an unconventional RNA binding protein able to control the translation of its own transcript [4]. Moreover, SHMT1 enzymatic activity is riboregulated by the 5′ untranslated region (5’-UTR) binding to the SHMT2 mRNA [5, 6].

1 C pathway due to its critical role in nucleotide synthesis and cellular methylation significantly contributes to the metabolic reprogramming that fuels cancer growth. SHMT enzymes are known for their involvement in various aspects of cancer biology. Consequently, targeted therapies against SHMT proteins have already been developed for the treatment of several cancer types [7]. Increased SHMT2 expression has been related to the development and metastasis of breast cancer [8] and oral squamous cell carcinoma, where its strong expression correlates with poor prognosis [9]. SHMT2 overexpression has also been observed in glioma [10], lymphoma [11], bladder [12, 13] and gastric cancer [14]. Furthermore, SHMT2 has been found to modulate metabolic reprogramming and epigenetics in papillary thyroid cancer [15]. Similarly, SHMT1 has also been shown to promote progression in various cancer types such as glioma [16], lung [17], and ovarian cancers [18].

Conversely, a smaller but growing body of research suggests that SHMT may act as a tumor suppressor in specific contexts, highlighting its complex and context-dependent roles in cancer biology. SHMT1 is downregulated in both human hepatocellular carcinoma (HCC) [19] and renal cell carcinoma (RCC) [20]. This downregulation directly correlates with unfavorable clinicopathological features and a poorer patient prognosis, suggesting that SHMT1 may play a protective role when expressed at normal levels. In human HCC cells, SHMT1 depletion has been shown to promote epithelial-mesenchymal transition (EMT) [19], a critical process in cancer metastasis, indicating that SHMT1 may normally suppress the spread of cancer cells. In RCC, the transcription factor HOXD8 has been identified as regulator responsible for SHMT1 downregulation [20]. Furthermore, SHMT1 hemizygosity has been found to be correlated with an increased risk of intestinal tumor in Apc min/+ mice [21].

Consistent with the tumor suppressor role of SHMT, polymorphic variants of the SHMT1 gene, associated with reduced enzyme activity, have been linked to increased risk of several cancers, including breast [22], lung [23], and rectal cancer [24], as well as with adult acute lymphocytic leukemia [25] and malignant lymphoma [26]. However, many of these associations are based on studies with relatively small sample sizes and thus require further validation in larger cohorts.

The Drosophila genome has a single SHMT gene encoding alternative transcripts, producing both a cytoplasmic isoform and a mitochondrial isoform. Moreover, the fly SHMT enzyme, similarly to mammalian SHMT1, can localize to the nucleus to sustain dTMP biosynthesis [27]. We recently demonstrated that RNAi-mediated silencing of SHMT in Drosophila produces DNA damage hampered by a simultaneous reduced availability of its enzymatic cofactor, the pyridoxal 5’-phosphate, (PLP) which represents the catalytical active form of vitamin B6 [28]. This finding suggests that SHMT depletion may impact on cancer by compromising genome integrity and that this effect might be modulated by PLP availability. To test this hypothesis here we studied the tumor suppressor role of SHMT in Drosophila using a cancer model based on the expression of the oncogenic RasV12 protein [29] combined with the silencing of Disc large (Dlg) polarity gene [30] with the aim of dissecting the underlying mechanisms.

Results

SHMT silencing promotes the progression of RasV12DlgRNAi tumors through folate pathway

SHMT plays a key role in the folate pathway, enabling the synthesis of purines and pyrimidines (Fig. 1A). To investigate its tumor suppressor role in Drosophila, we tested the effect of SHMT silencing on progression of ey > GFP RasV12DlgRNAi tumors (hereinafter RasV12DlgRNAi). This malignant cancer model is established in eye antennal disc cells through the concomitant overexpression of RasV12 oncogene [29] and the RNAi-mediated silencing of Disc large (Dlg) polarity gene [30]. Concurrent green fluorescent protein (GFP) expression in these eye discs enables visualization of tumor expansion and dissemination [3133].

Fig. 1. SHMT silencing promotes the progression of RasV12DlgRNAi tumors.

Fig. 1

A Simplified scheme of folate pathway. SHMT in the presence of PLP cofactor produces 5,10-meTHF in turn used for purine synthesis and dTMP synthesis mediated by TS enzyme. The conversion of 5,10-meTHF into 5-mTHF produces one carbon units for methionine cycle. SHMT serine hydroxymethyltransferase, PLP pyridoxal 5’-phosphate, 5,10-meTHF 5,10-methylenetetrahydrofolate; 5-mTHF 5-methyltetrahydrofolate, DHF dihydrofolate. THF tetrahydrofolate, TS thymidylate synthase, dUMP deoxyuridine monophosphate; dTMP= deoxythymidine monophosphate, Ser serine, Gly glycine. B SHMT mRNA levels evaluated by RT-qPCR analysis. SHMT mRNA levels in RasV12DlgRNAi eye discs are not significantly different from the levels found in ey > GFP control discs. The RNAi-mediated silencing of SHMT significantly decreases its expression levels. Error bars, SEM. ***P < 0.001 (unpaired t-test). Ns = not significant. P = 0.19. SHMTR = SHMTRNAi. C Representative images of larvae showing GFP-labeled primary tumors. ey > GFP RasV12DlgRNAi larvae (abbreviated as RasV12DlgRNAi) express the oncogenic RasV12 in imaginal eye disc cells, along with a UAS-Dlg hairpin RNAi construct and a UAS-GFP construct. Scale bar, 0.5 mm. The RNAi-mediated silencing of SHMT (or TS) enhances the tumor growth (e, g). Tumors are rescued (or reduced) by dTMP supplementation (f, h). In ey > GFP control discs, only GFP is expressed. Secondary tumors far from cephalic area are indicated by arrows. dTMP=thymidylate. TSR = TSRNAi. D Quantification of GFP-positive eye field area relative to total body area (%). Error bars, SEM. *P < 0.05; ***P < 0.001 (unpaired t-test). Ns = not significant ey > GFP SHMTR vs ey > GFP P = 0.85; ey > GFP TSR vs ey > GFP P = 0.26; RasV12DlgRNAi dTMP vs RasV12DlgRNAi P = 0.25. Number of scored larvae in at least three independent experiments: ey > GFP n = 98; ey > GFP SHMTR n = 71; ey > GFP TSR n = 78; RasV12DlgRNAin = 152; RasV12DlgRNAi dTMP n = 45; RasV12DlgRNAi SHMTR n = 85; RasV12DlgRNAiSHMTR dTMP n = 69; RasV12DlgRNAiTSRn = 37 RasV12DlgRNAiTSR dTMP n = 72. E Larval brains showing tumor invasions on the ventral nerve cord (VNC) were assigned to three different categories based on invasion degree. Grade1=mild; Grade 2=moderate; Grade 3=severe. Note that the ey-Flippase that generates GFP-marked RasV12DlgRNAi cells is also active in optic lobes (OL). Scale bar, 100 µm. F Quantification of results. The green-labeled portion of each column represents the percentage of brains with VNC invasions. The black portion indicates the percentage of brains without invasions. The three different types of green represent arbitrary levels of invasion exemplified in (E). Brains were from larvae collected at 12–14 days after cross. Statistics were assessed by chi square test and refer to the percentage of total invasion phenotype. *P < 0.05; **P < 0.01. Ns = not significant. RasV12DlgRNAi dTMP vs RasV12DlgRNAi P = 0.76; RasV12DlgRNAiTSR dTMP vs. RasV12DlgRNAiTSR P = 0.11. Number of scored brains in at least three independent experiments: ey > GFP n = 40; ey > GFP SHMTR n = 35; ey > GFP TSR n = 38; RasV12DlgRNAi n = 46; RasV12DlgRNAi dTMP n = 45; RasV12DlgRNAiSHMTR n = 80; RasV12DlgRNAi SHMTR dTMP n = 39; RasV12DlgRNAiTSR n = 29; RasV12DlgRNAiTSR dTMP n = 33. G Relationship between brain optic lobe primary tumor size and grade of VNC invasions. Optic lobe tumors were grouped into three size categories based on the percentage of the GFP-labeled area: small (30–50%), medium (51–70%), and large (71–100%). The three different types of green represent arbitrary levels of invasion exemplified in the (E). Chi-square test of independence was used to compare the distribution of invasion grades across the tumor size categories. Ns=not significant RasV12DlgRNAiSHMTR P = 0.97; RasV12DlgRNAiTSR P = 0.08. Number of scored brains: RasV12DlgRNAi n = 38; RasV12DlgRNAiSHMTR n = 63; RasV12DlgRNAiTSR n = 39.

Since many human tumors express SHMT at high levels, we first ensured that SHMT was expressed at wild-type levels in eye discs from RasV12DlgRNAi larvae (Fig. 1B). To reduce the function of SHMT in the RasV12DlgRNAi eye discs we used the RNA interference (VDRC line SHMTv19206) which was effective in decreasing the SHMT expression by approximately 40% (Fig. 1B) and the catalytic activity by about 75% (Figure S1). The presence of RasV12DlgRNAi tumors in eye discs results in a developmental delay, leading larvae to reach the third instar 12–14 days after the cross. Consistently, in all experiments we examined tumor-bearing larvae collected in this interval of time.

SHMT silencing significantly increased the GFP-labeled cephalic area in RasV12DlgRNAiSHMTRNAi larvae compared to RasV12DlgRNAi controls (11% of total body vs 9%), (Fig. 1C, D, Figure S2). Conversely, it did not influence the GFP expression in non-tumoral control eye discs (ey > GFP SHMTRNAi) (Fig. 1C, D).

SHMT silencing also increased the invasiveness of RasV12DlgRNAi tumors by enhancing secondary tumor formation, which was quantified in larval brains by assessing the frequency of invasions on the ventral nerve cord (VNC) [33, 34] (Fig. 1E, F). SHMT depletion promoted invasions in approximately 50% of brains (vs. about 30% in RasV12DlgRNAi controls) (Fig. 1F), indicating that reducing SHMT activity also exacerbates the metastatic potential of RasV12DlgRNAi tumors. Remarkably, the severity of VNC invasion did not correlate statistically with the size of the primary tumors on optic lobes (Fig. 1G). This suggests that SHMT depletion confers an intrinsic metastatic capacity, thus ruling out the possibility that the increase in metastasis was simply due to a higher number of primary tumor cells. Furthermore, the extent of tumor invasion showed no correlation with larval age (Figure S3).

The enzyme thymidylate synthase (TS), positioned downstream of SHMT (Fig. 1A), uses N5, N10-methylene-THF (generated by SHMT) as a substrate for the conversion of dUMP to dTMP. TS depletion via RNAi (confirmed by RT-qPCR, Figure S4) increased primary (15% of total body area) and secondary tumor formation (65% of brains with invasions) in RasV12DlgRNAi larvae (Fig. 1C–G; Figure S3). Thymidylate (dTMP) supplementation in RasV12DlgRNAi SHMTRNAi larvae rescued tumor phenotypes, restoring tumor progression to baseline levels observed in RasV12DlgRNAi controls (Fig. 1C, D, F; Figure S5). In RasV12DlgRNAiTSRNAi larvae dTMP supplementation resulted in a significant reduction in primary tumor size (10.78% of the body area). Additionally, the proportion of invaded brains decreased from 65.5% to 45%, although this reduction did not reach statistical significance (Fig. 1C, D, F).

The same effect as SHMT depletion on RasV12DlgRNAi tumors was produced by the SHMT inhibitor metformin [35] (Figure S6).

Notably, reduced SHMT activity can also affect the development of RasV12csk-/- tumors [36] (Figure S6), while it did not affect the transformation of RasV12 benign tumors in aggressive forms [29] (Figure S6), suggesting that SHMT vulnerability may be preferentially acquired when RasV12 cooperates with a second oncogenic lesion.

SHMT depletion induces genome instability in RasV12DlgRNAi eye discs

Our previous finding that SHMT silencing induces genome instability in Drosophila neuroblasts [28] suggested that DNA damage may be involved in the progression of RasV12DlgRNAiSHMTRNAi tumors. Consistently, we found that SHMT depletion in RasV12DlgRNAi cells increased the accumulation of γ-H2Av foci, a marker of DNA double strand breaks (DSBs) (31% of positive cells vs 1.5% in RasV12DlgRNAi), and this effect was completely rescued by dTMP supplementation (3.2%) (Fig. 2A, B). Similarly, TS depletion in RasV12DlgRNAi cells also increased the frequency of γ-H2Av foci (39.2%) and dTMP significantly decreased this percentage (7.95%) (Fig. 2B).

Fig. 2. RNAi-mediated SHMT silencing causes DNA and chromosome damage in RasV12DlgRNAi eye discs.

Fig. 2

A Examples of eye disc nuclei positive γ-H2Av antibody (red). Scale bar, 5 µm. B Quantification of results. Error bars, SEM. **P < 0.01; ***P < 0.001 (unpaired t-test). Ns = not significant P = 0.839. Total number of examined cells in at least three independent experiments: ey > GFP n = 1867; ey > GFP SHMTR n = 5186; ey > GFP TSR n = 4009; RasV12DlgRNAi n = 5092; RasV12DlgRNAi dTMP n = 2918; RasV12DlgRNAiSHMTR n = 2461; RasV12DlgRNAiSHMTR dTMP n = 5431; RasV12DlgRNAiTSR n = 3058; RasV12DlgRNAiTSR dTMP n = 3295. C Examples of chromosome aberrations (CABs) in metaphases of eye discs of indicated genotypes. (a) wild type female metaphase; (b) chromatid deletion of a major autosome (arrow); (c) metaphase with multiple breaks (arrowed); (d) metaphase with fragmented chromosomes; (e) metaphase with centric deletion (arrows); (f) metaphase with severely fragmented chromosomes. Scale bar, 5 µm. D Quantification of results. Error bars, SEM. **P < 0.01; ***P < 0.001 (unpaired t-test). Ns = not significant, P = 0.07. Total number of examined cells in at least three independent experiments: ey > GFP n = 542 (13 discs); ey > GFP SHMTR n = 446 (9 discs); ey > GFP TSR n = 491 (10 discs); RasV12DlgRNAin = 538 (8 discs); RasV12DlgRNAi dTMP n = 471 (7 discs); RasV12DlgRNAiSHMTR n = 501 (16 discs); RasV12DlgRNAiSHMTR dTMP n = 726 (7 discs); RasV12DlgRNAiTSR n = 274 (10 discs); RasV12DlgRNAiTSR dTMP n = 309 (11 discs). E Percentage of cells with CABs. Error bars, SEM (calculated on the total frequency of cells with CABs). **P < 0.01 (unpaired t-test). SA single aberration cells (panel C, b, e); MA multiple aberration cells (C); MCF multiple chromosome fragmentation cells (panel C, d, f). F List of acronyms and corresponding definitions used to categorize metaphase cells based on the number of chromosome aberrations.

It is known that unrepaired or malrepaired DSBs can result in chromosome aberrations (CABs) [37] that are in turn associated with cancer [38]. To assess chromosome damage, we evaluated both the average number of CABs per cell and the frequency of affected cells. Consistently, eye discs from RasV12DlgRNAiSHMTRNAi larvae displayed 0.54 CABs per cell (vs 0.035 in RasV12DlgRNAi) (Fig. 2C, D) and 28% of cells with CABs (Fig. 2E, F). Of these, 17% showed single breaks (Single Aberration cells, SA), 7% displayed 2 to 4 breaks (Multiple Aberration cells, MA), and 4% presented 5 or more breaks (Multiple Chromosome Fragmentation cells, MCF). This last class also includes cells with severely multi-fragmented chromosomes. dTMP administration significantly decreased the chromosome damage (0.13 CABs per cell and 9% of cells with CABs) (Fig. 2D, E).

TS silencing resulted in a very high frequency of CABs in RasV12DlgRNAi tumor eye discs (1.4 CABs per cell and 56% of cells with CABs), and dTMP supplementation significantly reduced the mean number of CABs per cell to 0.56 CABs per cell and the percentage of cells with CABs to 33% (Fig. 2D, E).

RasV12DlgRNAiSHMTRNAi eye discs are sensitive to genotoxic stressors

Given that SHMT regulates purine and pyrimidine synthesis, it is conceivable that DNA damage may result from impaired DNA repair and/or synthesis caused by an unbalanced nucleotide pool [39]. Additionally, DNA damage might originate from increased levels of reactive oxygen species (ROS) whose production has been shown to increase following SHMT depletion [19, 33, 40]. Thus, we addressed these issues.

To investigate the role of DNA repair, we performed an X-ray sensitivity test. We found that eye discs from RasV12DlgRNAiSHMTRNAi larvae treated with 2.5 Gy of X-rays displayed a significantly increased frequency of CABs with an average of 1.68 CABs per cell, compared to 0.54 CABs per cell in untreated larvae (Fig. 3A, B). Notably, this observed frequency exceeds the additive value of 0.67 CABs per cell, derived from the sum of CAB frequency in untreated RasV12DlgRNAi SHMTRNAi cells (0.54) and X-ray treated RasV12DlgRNAi cells (0.13), an outcome that would be expected if X-rays and SHMT silencing acted independently. Therefore, this non-additive increase suggests that SHMT depletion renders RasV12DlgRNAi cells sensitive to X-rays, thereby implicating SHMT in the DNA repair process. Interestingly, dTMP supplementation attenuated the X-rays-induced damage, reducing CAB frequency to 0.64 CABs per cell (Fig. 3A, B).

Fig. 3. SHMT silencing induces X-ray and HU sensitivity in RasV12DlgRNAi cells.

Fig. 3

A Examples of CABs in eye discs of indicated genotypes/treatments. (a) wild type female metaphase; (b) chromatid deletion of a major autosome (arrowed); (c,d) metaphases with multiply fragmented chromosome; (e, h) wild type metaphases; (f) centric deletion of a major autosome (arrows); (g) metaphase with multiply fragmented chromosomes. Scale bar, 5 µm. dTMP= deoxythymidine monophosphate; HU hydroxyurea (1 mM). B Quantification of X-ray treatment. Error bars, SEM. *P < 0.05; **P < 0.01; ***P < 0.001 (unpaired t-test). Ns=not significant P = 0.06. IR = X-ray treatment (2.5 Gy). Total number of examined cells in at least three independent experiments: untreated RasV12DlgRNAi n = 538 (8 discs); X-ray-treated-RasV12DlgRNAi n = 253 (6 discs); X-ray+dTMP-treated RasV12DlgRNAi n = 194 (5 discs); untreated RasV12DlgRNAiSHMTR n = 501 (16 discs); X-ray-treated RasV12DlgRNAiSHMTR n = 125 (7 discs); X-ray+dTMP-treated RasV12DlgRNAiSHMTR n = 166 (5 discs). C Dissolution kinetics of X-ray-induced (5 Gy) γ-H2Av foci (red) in nuclei of larval eye discs of indicated genotypes. Untr=untreated. A high proportion of γ-H2Av-positive RasV12DlgRNAiSHMTR cells persists at 4 hours post-irradiation (PIR). Scale bar, 5 µm. D Quantification of γ-H2Av foci resolution. Each time point post-irradiation represents the mean value from three independent experiments ± SEM. Statistical analysis (unpaired t-test) reveled significant differences (***p < 0.001) between RasV12DlgRNAiSHMTR cells and both ey > GFP and RasV12DlgRNAi cells at 2 and 4 h PIR. At 4 h PIR the difference between ey > GFP and RasV12DlgRNAi cells was not significant (P = 0.08). Total number of nuclei examined across at least three independent experiments: ey > GFP n = 1867; ey > GFP 30 min n = 2837; ey > GFP 2 h n = 1832; ey > GFP 4 h n = 2614; RasV12DlgRNAi n = 5092; RasV12DlgRNAi 30 min n = 4414; RasV12DlgRNAi 2 h n = 2235; RasV12DlgRNAi 4 h n = 2668; RasV12DlgRNAi SHMTR untr n = 2461; RasV12DlgRNAi SHMTR 30 min n = 3841; RasV12DlgRNAiSHMTR 2 h n = 2415; RasV12DlgRNAiSHMTR 4 h n = 3539. E Quantification of HU treatment (1 mM). Error bars, SEM. *P < 0.05; ***P < 0.001 (unpaired t-test). Ns=not significant P = 0.40. Total number of examined cells in at least three independent experiments: untreated RasV12DlgRNAi n = 538 (8 discs); HU-treated RasV12DlgRNAi n = 230 (7 discs); HU+dTMP-treated RasV12DlgRNAi n = 797 (12 discs); untreated RasV12DlgRNAiSHMTR n = 501 (16 discs); HU-treated RasV12DlgRNAiSHMTR n = 238 (6 discs); HU + dTMP-treated-RasV12DlgRNAiSHMTR n = 686 (12 discs).

To deeply investigate the involvement of SHMT in DNA repair, we monitored the dissolution of γ-H2Av repair foci over time following irradiation (Fig. 3C, D) [41]. Approximately 95% of ey > GFP control cells treated with 5 Gy of X-rays showed positive γ-H2Av immunostaining at 30 minutes post-irradiation (PIR). This percentage decreased to about 80% at 2 h PIR and further to 30% at 4 h PIR. We observed a similar trend in RasV12DlgRNAi cells. In contrast, SHMT silencing in RasV12DlgRNAi cells impaired foci dissolution, with 97% of cells remaining positive for γ-H2Av foci at 2 h PIR, and 92% still showed persistent foci at 4 h PIR. These findings suggest that SHMT depletion leads to delayed or defective DNA repair, which may contribute to the observed genomic instability.

Additionally, we assessed the sensitivity of RasV12DlgRNAiSHMTRNAi eye discs to hydroxyurea (HU), a strong inhibitor of ribonucleotide reductase [42] that impairs DNA replication efficiency (Fig. 3A, E, Figure S7). Treatment with 1 mM HU resulted in an approximately two-fold increase in chromosome damage in RasV12DlgRNAiSHMTRNAi eye discs (0.99 CABs per cell, compared to 0.54 in untreated cells)(Fig. 3A, E). This level of damage exceeded the sum of CAB frequencies (equal to 0.66) observed in untreated RasV12DlgRNAiSHMTRNAi discs (0.54) and HU-treated RasV12DlgRNAi cells (0.12). This non-additive increase indicates that SHMT-depleted cells are hypersensitive to HU-induced replication stress. Notably, dTMP supplementation rescued this phenotype. This suggests that the replicative stress may also contribute to DNA damage in the absence of SHMT.

SHMT depletion causes ROS increase in RasV12DlgRNAi cells

Consistent with previous findings that impaired folate pathway leads to ROS accumulation [19, 40], we observed that RasV12DlgRNAi SHMTRNAi eye discs exhibited a higher frequency of ROS compared to RasV12DlgRNAi discs, as indicated by dihydroethidium (DHE) staining (Fig. 4A, B). In contrast ROS accumulation was reversed by dTMP supplementation (Fig. 4A, B). Similarly, TS depletion increased ROS levels in RasV12DlgRNAi cells (Fig. 4A, B).

Fig. 4. The role of ROS in RasV12DlgRNAiSHMTRNAi cancer progression.

Fig. 4

A ROS accumulation in eye discs of indicated genotypes and treatments detected by dihydroethidium (DHE) staining. Scale bar, 20 μm. B Quantification of results obtained in three independent experiments. Spot density expressed as the number of DHE-positive spots per square micrometer (μm2). Error bars, SEM. *P < 0.05; **P < 0.01; ***P < 0.001 (unpaired t-test). NAC = N-acetyl cysteine (1 mg/ml). Number of scored eye discs: ey > GFP n = 8; ey > GFP SHMTR n = 20; ey > GFP TSR n = 18; RasV12DlgRNAi n = 14; RasV12DlgRNAi NAC n = 13; RasV12DlgRNAiSHMTR n = 16 discs; RasV12DlgRNAiSHMTR dTMP n = 8; RasV12DlgRNAiSHMTR NAC n = 17; RasV12DlgRNAiTSR n = 18; RasV12DlgRNAiTSR dTMP n = 17; RasV12DlgRNAiTSR NAC n = 12. C Representative images of RasV12DlgRNAiSHMTR larvae in which NAC treatment rescues primary tumors. NAC = 1 mg/ml. Scale bar, 0.5 mm. D Quantification of results. GFP-positive eye field area relative to total body area. Error bars, SEM. *P < 0.05; **P < 0.01(unpaired t-test). Ns not significant P = 0.90. Number of larvae scored in at least three independent experiments: RasV12DlgRNAin = 152; RasV12DlgRNAi NAC n = 80; RasV12DlgRNAiSHMTR n = 85; RasV12DlgRNAiSHMTR NAC n = 60. E NAC treatment rescues secondary tumors in RasV12DlgRNAiSHMTR larvae, quantification. NAC = 1 mg/ml. The green-labeled portion of each column represents the percentage of brains with VNC invasions. The black portion indicates the percentage of brains without invasions. The three different types of green represent arbitrary levels of invasions. Statistics were assessed by chi square test and refer to the percentage of total invasion phenotype *P < 0.01. Ns=not significant P = 0.67. Number of brains scored in at least three independent experiments: RasV12DlgRNAin = 46; RasV12DlgRNAi NAC n = 60; RasV12DlgRNAiSHMTR n = 80; RasV12DlgRNAiSHMTR NAC n = 57. F Percentage of cells positive to γ-H2Av antibody (red) in eye discs from larvae treated with 1 mg/ml NAC. Error bars, SEM. ***P < 0.001(unpaired t-test). Ns not significant, P = 0.76. Total number of examined cells in at least three independent experiments: RasV12DlgRNAi n = 5092; RasV12DlgRNAi NAC n = 4500; RasV12DlgRNAiSHMTR n = 2461; RasV12DlgRNAiSHMTR NAC n = 3389. G Number of CABs per cell in eye discs from larvae treated with 1 mg/ml NAC. Error bars, SEM ***P < 0.001 (unpaired t-test). Ns not significant P = 0.61. Number of examined cells in at least three independent experiments: RasV12DlgRNAi n = 538 (8 discs); RasV12DlgRNAi NAC n = 514 (7 discs); RasV12DlgRNAiSHMTR n = 501 (16 discs); RasV12DlgRNAiSHMTR NAC n = 394 (8 discs). H Percentage of cells with CABs in eye discs from larvae treated with 1 mg/ml NAC. Error bars, SEM **P < 0.01 (unpaired t-test). Number of examined cells in three independent experiments: RasV12DlgRNAiSHMTR n = 501 (16 discs); RasV12DlgRNAiSHMTR NAC n = 394 (8 discs).

Since RasV12DlgRNAiSHMTRNAi cells showed ROS accumulation, defective DNA synthesis and impaired DNA repair, we sought to evaluate the relative contributions of these factors to tumor progression. To this end we treated RasV12DlgRNAiSHMTRNAi eye discs with the antioxidant N-acetyl cysteine (NAC) [43] and found that this treatment effectively rescued both ROS accumulation (Fig. 4A, B) and tumor progression features (Fig. 4C–E; Figure S5), thus providing strong evidence that ROS is a main causal factor for cancer progression.

Intriguingly, NAC treatment (1 mg/mL) significantly reduced the percentage of cells positive to γ-H2Av foci (from 31% to 3.57%) (Fig. 4F), the mean number of CABs per cell (from 0.54 to 0.15) (Fig. 4G) and the percentage of cells with chromosomal aberrations (from 28 to 13%) (Fig. 4H). Moreover, the proportion of cells displaying severe chromosomal damage (MCF cells) dropped from 4% to 0.25% (Fig. 4H). These findings suggest that DNA damage correlated with tumors in SHMT-depleted cells was mostly induced by ROS. The increased sensitivity of SHMT-depleted tumor cells to X-ray and HU treatments, coupled with the persistence of γ-H2Av repair foci over time, further suggests that while ROS acts as the primary initiator of DNA damage, the compromised DNA repair and persistent replicative stress due to SHMT depletion amplify the damage downstream, ultimately promoting tumorigenesis (Fig. 5).

Fig. 5. Scheme illustrating the possible mechanisms underlying the tumor suppressor role of SHMT on RasV12DlgRNAi cancers.

Fig. 5

Primary pathway (red arrows): The depletion of SHMT causes a decreased dTMP synthesis, leading to an accumulation of ROS. High ROS levels generate DSBs, as evidenced by the increase of γ-H2Av foci. These DSBs constitute a critical factor contributing to CABs, which ultimately drives cancer progression. The recovery of tumors and DNA damage following NAC treatment highlights the central role of this pathway and points to ROS acting specifically via DNA damage. However, the contribution of other ROS-dependent mechanisms cannot be ruled out (black dotted line). Based on our data, additional mechanisms may operate as minor secondary pathways (black dashed arrows). Reduced dTMP synthesis also contributes to replication stress (evidenced by HU sensitivity) and impaired DNA repair mechanisms (evidenced by X-ray sensitivity and impaired γ-H2Av foci resolution). Replication stress may lead to DSBs; impaired DNA repair mechanisms may amplify the generation of CABs from DSBs.

Synergistic interaction between SHMT and pyridoxal 5’-phosphate (PLP) on RasV12DlgRNAi tumor progression

SHMT uses the catalytically active form of vitamin B6, the pyridoxal 5’-phosphate (PLP), as a cofactor to perform the reversible conversion of serine and THF to glycine and 5,10-methylene THF (Fig. 1A). In addition, PLP is an antioxidant molecule whose depletion causes DNA damage [44]. We previously demonstrated an interaction between SHMT and PLP which affects chromosome damage [28], leading us to hypothesize that this interaction could also influence cancer progression. Consequently, we examined whether a reduction in PLP levels, achieved by feeding larvae with the PLP antagonist 4-deoxypyridoxine (4DP) [45] influenced RasV12DlgRNAi SHMTRNAi tumor progression. 4DP-fed RasV12DlgRNAiSHMTRNAi larvae displayed a primary tumor area covering about 14% of the larval body, compared to 11.4% in untreated RasV12DlgRNAi SHMTRNAi controls (Fig. 6A, B). Regarding tumor invasiveness, VNC invasion was observed in 69% of the examined brains from 4DP-fed RasV12DlgRNAiSHMTRNAi larvae (Fig. 6C); however, this latter value was not statistically significant when compared to either RasV12DlgRNAiSHMTRNAi (51%) or 4DP-fed RasV12DlgRNAi (60.5%).

Fig. 6. Synergistic interaction between SHMT and PLP on RasV12DlgRNAi tumors.

Fig. 6

A Representative images of larvae showing GFP-labeled tumors. PLP=pyridoxal 5’-phosphate; 4DP = 4-deoxypyridoxine. Scale bar, 0.5 mm. B Quantification of GFP-positive eye field area relative to total body area. Error bars, SEM. *P < 0.05; ***P < 0.001 (unpaired t-test). Ns=not significant. RasV12DlgRNAi PLP vs RasV12DlgRNAi P = 0.78; RasV12DlgRNAiSHMTR PLP vs RasV12DlgRNAiSHMTR P = 0.89. Number of larvae scored in at least three independent experiments: RasV12DlgRNAi n = 152; RasV12DlgRNAi PLP n = 22; RasV12DlgRNAi 4DP n = 83; RasV12DlgRNAiSHMTR n = 85; RasV12DlgRNAiSHMTR PLP n = 41; RasV12DlgRNAiSHMTR 4DP n = 119; RasV12DlgRNAiSHMTR 4DP PLP n = 123. C Quantification of secondary tumors. The green-labeled portion of each column represents the percentage of brains with VNC invasions. The black portion indicates the percentage of brains without invasions. Statistics were assessed by chi square test and refer to the percentage of invasion phenotype *P < 0.05; **P < 0.01. Ns not significant RasV12DlgRNAi PLP vs RasV12DlgRNAi P = 0.53; RasV12DlgRNAiSHMTR vs. RasV12DlgRNAiSHMTR PLP P = 0.43; RasV12DlgRNAiSHMTR vs RasV12DlgRNAiSHMTR 4DP P = 0.09. Number of brains scored in at least three independent experiments: RasV12DlgRNAi n = 46; RasV12DlgRNAi PLP n = 38; RasV12DlgRNAi 4DP n = 38; RasV12DlgRNAiSHMTR n = 80; RasV12DlgRNAiSHMTR PLP n = 39; RasV12DlgRNAiSHMTR 4DP n = 25. D Examples of eye disc nuclei showing γ-H2Av foci (red). 4DP treatment strongly increased the percentage of cells positive to γ-H2Av immunostaining. Scale bar, 5 µm. E Quantification of results. Error bars, SEM. ***P < 0.001 (unpaired t-test). Ns not significant RasV12DlgRNAi PLP vs RasV12DlgRNAi P = 0.85; RasV12DlgRNAiSHMTR 4DP PLP vs RasV12DlgRNAiSHMTR P = 0.05 (not reported in the graph). NAC = N-acetyl cysteine (4 mg/ml). Number of scored cells in three independent experiments: RasV12DlgRNAi n = 5092; RasV12DlgRNAi PLP n = 3500; RasV12DlgRNAi 4DP n = 4309; RasV12DlgRNAiSHMTR n = 2461; RasV12DlgRNAiSHMTR 4DP n = 946; RasV12DlgRNAiSHMTR 4DP PLP n = 1514; RasV12DlgRNAiSHMTR 4DP NAC n = 2078. F Examples of CABs in eye discs of indicated genotypes/treatments. (a) centric deletion of a major autosome (arrows); (b) isochromatid deletion of a major autosome (arrowed); (c,d) metaphases with multiply fragmented chromosome. Scale bar, 5 µm. G Quantification of results. Error bars, SEM. *P < 0.05; **P < 0.01 (unpaired t-test). Ns = not significant RasV12DlgRNAi PLP vs RasV12DlgRNA P = 0.21; RasV12DlgRNAiSHMTR 4DP PLP vs RasV12DlgRNAiSHMTR P = 0.08 (not reported in the graph).Total number of examined cells in at least three independent experiments: RasV12DlgRNAi n = 538 (8 discs); RasV12DlgRNAi PLP n = 294 (3 discs); RasV12DlgRNAi 4DP n = 457 (9 discs); RasV12DlgRNAiSHMTR n = 501 (16 discs); RasV12DlgRNAiSHMTR 4DP n = 197 (4 discs); RasV12DlgRNAiSHMTR 4DP PLP n = 443 (6 discs); RasV12DlgRNAi SHMTR 4DP NAC n = 203 (4 discs). H ROS accumulation in 4DP-treated RasV12DlgRNAiSHMTR eye discs, detected by dihydroethidium (DHE) staining. NAC treatment (4 mg/ml) reduces ROS increase. Scale bar, 20 μm. I Quantification of results. Spot density expressed as the number of DHE-positive spots per square micrometer (μm2). Error bars, SEM. *P < 0.05; **P < 0.01; ***P < 0.001 (unpaired t-test). Number of scored eye discs in three independent experiments: RasV12DlgRNAin = 14; RasV12DlgRNAi NAC n = 10; RasV12DlgRNAi 4DP n = 13; RasV12DlgRNAi 4DP NAC n = 14; RasV12DlgRNAiSHMTR n = 16; RasV12DlgRNAiSHMTR NAC n = 11; RasV12DlgRNAiSHMTR 4DP n = 9; RasV12DlgRNAiSHMTR 4DP NAC n = 17. J NAC treatment (4 mg/ml) reduces primary tumor area in 4DP-fed RasV12DlgRNAiSHMTR larvae. Quantification of GFP-positive eye field area relative to total body area. Error bars, SEM. P < 0.001 (unpaired t-test). Number of scored larvae in three independent experiments: RasV12DlgRNAiSHMTR n = 85; RasV12DlgRNAiSHMTR 4DP n = 119; RasV12DlgRNAiSHMTR 4DP NAC n = 25. K 4DP treatment increases apoptosis in RasV12DlgRNAiSHMTR cells. Eye discs of the indicated genotypes and treatments were immunostained with anti-DCP-1 antibody to detect apoptosis. The anti-DCP-1 signal is shown in red. Nuclei were counterstained with DAPI (blue). Scale bar, 20 μm. (NAC, 4 mg/ml) L Quantification of results was performed by measuring the percentage area of anti-DCP-1 positive spots relative to the total disc area, analyzed on confocal z-stack maximum intensity projections. Error bars, SEM. *P < 0.051; ***P < 0.001 (unpaired t-test). Ns= not significant RasV12DlgRNAi vs ey > GFP P = 0.05; RasV12DlgRNAi 4DP vs RasV12DlgRNA P = 0.098; RasV12DlgRNAi SHMTR vs RasV12DlgRNAi P = 0.217; RasV12DlgRNAiTSR vs RasV12DlgRNAi P = 0.22. Number of scored discs in three independent experiments: ey > GFP n = 22; ey > GFP SHMTR n = 15; ey > GFP TSR n = 14; RasV12DlgRNAi n = 15; RasV12DlgRNAi 4DP n = 19; RasV12DlgRNAiSHMTR n = 15; RasV12DlgRNAiSHMTR 4DP n = 21. RasV12DlgRNAiSHMTR4DP NAC n = 12; RasV12DlgRNAiTSR n = 15. M Examples of apoptosis detection by anti-DCP-1 immunofluorescence on squashed eye disc preparations. (a) Cells showing normal nuclear morphology and no activation of DCP-1; (b) Nuclei displaying strong chromatin condensation with intense anti-DCP-1 staining (arrows); (c) Nucleus exhibiting chromatin fragmentation, and anti-DCP-1 signal. Scale bar, 5 μm. N Quantification. Apoptotic Index (%) = DCP-1 positive cells number/total number of examined cells. Error bars, SEM. ***P < 0.001 (unpaired t-test). Ns= not significant. RasV12DlgRNAi 4DP vs RasV12DlgRNAi P = 0.52; RasV12DlgRNAiSHMTR vs RasV12DlgRNAi P = 0.27; RasV12DlgRNAiTSR vs RasV12DlgRNAi P = 0.27. Number of scored cells: ey > GFP n = 7430; ey > GFP SHMTR n = 3452; ey > GFP TSR n = 3722; RasV12DlgRNAi n = 3612; RasV12DlgRNAi4DP n = 4612; RasV12DlgRNAiSHMTR n = 2414; RasV12DlgRNAiSHMTR 4DP n = 3077; RasV12DlgRNAiSHMTR 4DP NAC n = 2595; RasV12DlgRNAiTSR n = 2539.

PLP supplementation to 4DP-fed RasV12DlgRNAiSHMTRNAi larvae decreased the size of the GFP-labeled cephalic area (10.95%) (Fig. 6A, B), thus suggesting the specificity of 4DP treatment.

Interestingly, 4DP treatment in RasV12DlgRNAiSHMTRNAi larvae strongly increased the percentage of γ-H2Av foci-positive cells to 80%, highlighting a synergistic effect between SHMT depletion and reduced cofactor availability. This 80% incidence was, indeed, greater than the sum of the individual effects of RasV12DlgRNAiSHMTRNAi (31.4%) and RasV12DlgRNAi4DP (10%) conditions (P < 0.001). PLP supplementation markedly reduced this effect (21%), a reduction that was not statistically significant compared to RasV12DlgRNAiSHMTRNAi cells (Fig. 6D, E).

A synergistic effect was also observed for chromosome damage. Eye discs from 4DP-fed RasV12DlgRNAiSHMTRNAi larvae exibited a frequency of 1.07 CABs per cell (Fig. 6F, G). This value exceeded the cumulative sum observed in RasV12DlgRNAiSHMTRNAi (0.54) and in 4DP-fed RasV12DlgRNAi (0.091) larvae, thereby confirming a synergistic effect for PLP reduction and SHMT depletion (P < 0.01) in promoting genomic instability. Also in this case, PLP administration to 4DP-fed RasV12DlgRNAiSHMTRNAi larvae rescued 4DP-induced increase in chromosome aberrations, restoring CAB levels closer to baseline (Fig. 6F, G).

4DP treatment further increased ROS accumulation in RasV12DlgRNAiSHMTRNAi eye discs, a finding also in agreement with the role of PLP in oxidative stress [44] (Fig. 6H, I). Consistently, the administration of 4 mg/ml NAC to 4DP-fed RasV12DlgRNAiSHMTRNAi larvae reduced ROS (Fig. 5H, I), γ-H2Av foci accumulation (Fig. 6D, E), CAB frequency (Fig. 6F, G) and primary tumors (Fig. 6J). In contrast, the concentration of 1 mg/ml NAC used in the aforementioned experiments did not induce a statistically significant rescue, possibly due to the huge oxidative stress.

To understand why the combined depletion of SHMT and PLP leads to a synergistic increase in DNA damage but not a corresponding enhancement in tumor progression, we examined apoptosis levels. Apoptosis was evaluated using an antibody against Death Caspase-1 (DCP-1), a critical effector of the process. Immunofluorescence experiments were performed on both whole mount eye discs and squashed preparations to better evaluate the number of apoptotic cells (Fig. 6K–N). This analysis revealed high levels of cell death in RasV12DlgRNAiSHMTRNAi cells treated with 4DP (Fig. 6K–N). Interestingly, while 4.3% of cells were positive for DCP-1 in ey > GFP SHMTRNAi non-tumor cells, the RasV12DlgRNASHMTRNAi eye discs displayed only 1.7% of positive cells, Fig. 6N). This indicates that the RasV12DlgRNAi background appears to exert an anti-apoptotic effect, permitting the survival of SHMT (or TS) depleted cells, despite their more severe chromosomal damage. In contrast, 4DP treatment effectively bypassed this intrinsic resistance to cell death, restoring apoptosis even within the tumor context (7% of apoptotic cells). Similar results were obtained by Acridine orange (AO) staining (Figure S8).

Discussion

Our work explores, for the first time in vivo, the tumor suppressor role of SHMT and identifies DNA damage as a key underlying mechanism. Moreover, we show that PLP depletion in SHMT-deficient cancer cells can influence cancer progression.

Drosophila is an ideal cancer model, due to its conserved metabolic and oncogenic pathways and robust genetic tools [46]. A key advantage is the presence of a single SHMT gene, eliminating concerns about genetic redundancy. The RasV12DlgRNAi cancer model was particularly suitable for this study as it maintains normal SHMT expression levels.

RasV12DlgRNAi cancers receive mitogenic signals from the conserved JAK-STAT and MAPK pathways and affect the epithelial tissue [47], mirroring human carcinomas, which represent up to 90% of human cancers.

Our analysis demonstrates that SHMT silencing enhances the progression of RasV12DlgRNAi tumors by impairing folate pathway (Fig. 1A), specifically dTMP biosynthesis. Silencing the downstream enzyme TS (which produces dTMP from dUMP) phenocopies SHMT silencing. Notably, dTMP administration rescues RasV12DlgRNAiSHMTRNAi tumor progression, suggesting that the folate pathway is functionally dominant over the methionine cycle here. This rescue also implies that low SHMT levels may preferentially redirect methylene tetrahydrofolate (me-THF) towards the methionine cycle. Since SHMT1 in human cells channels me-THF toward nuclear dTMP synthesis by sequestering 5-methylTHF (5-mTHF) in the cytoplasm [21, 48], we hypothesize that low SHMT levels reduce m-THF sequestration, thus favoring the methionine cycle and further reducing dTMP biosynthesis.

A critical finding is that ROS-induced DNA damage triggered by low dTMP levels drives tumor progression in RasV12DlgRNAiSHMTRNAi cells. These cells exhibited high levels of ROS, DSBs, and CABs. Consistent with the SHMT role in purine and pyrimidine biosynthesis, RasV12DlgRNAiSHMTRNAi cells resulted highly sensitive to genotoxic stressors such as HU and X-rays. They also displayed defective DNA repair (evidenced by impaired resolution of X-ray-induced γ-H2Av repair foci). However, although replicative stress and impaired repair are known contributors to genome instability, our data identify ROS as the principal driving factor of cancer progression. Treatment with the antioxidant NAC reduced ROS and rescued tumor progression and DNA damage. This effect mirrors the dTMP treatment, which resolves both replication/repair issues and oxidative stress. Thus, we propose a primary pathway wherein SHMT depletion leads to increased ROS, consequently inducing DSBs that result in CABs and tumorigenesis (Fig. 5). Secondary mechanisms—including replicative stress and impaired repair—likely contribute to a lesser extent to overall genomic instability. Specifically, replicative stress may primarily drive DSB formation [49] whereas defective repair may further facilitate the transformation of DSBs into CABs [37].

Although ROS increase can impact tumorigenesis through diverse mechanisms including altered signaling pathways, chronic inflammation, and microenvironmental modulation [50], the concomitant rescue of both DNA damage and tumor phenotypes achieved with the antioxidant NAC strongly suggests that, in our model, ROS act primarily via DNA damage. Furthermore, these results strongly suggest that genome instability plays a crucial role in cancer progression. Although dUTP incorporation (caused by SHMT depletion) is a potential source of DNA damage, the rescue effect of NAC suggests that this mechanism is not relevant in our cancer model. In line with our findings, the downregulation of SHMT in human hepatocellular carcinoma [19] also results in elevated ROS levels. However, in that specific context, the oxidative stress promotes cancer progression by altering the expression of genes involved in epithelial-mesenchymal transition and spreading.

Although NAC or dTMP treatments fully rescued tumor phenotypes, they left some residual chromosome damage. However, by segmenting the data based on the extent of chromosomal damage, we observed that NAC or dTMP treatments more effectively rescued the class of cells showing more severe chromosome damage (MCF cells) than the less damaged class. This suggests that a low level of genomic instability might be tolerable and insufficient to drive severe tumorigenesis, raising the hypothesis of a critical threshold.

Our model assigns a central role to dTMP depletion. The successful rescue of ROS accumulation through dTMP supplementation strongly implies that dTMP depletion drives ROS production; however, the precise underlying mechanism was not clarified in this study. While NADPH oxidase upregulation has been proposed as the main driver for ROS increase in dTMP-depleted cells [19, 40], we found that RasV12DlgRNAiSHMTRNAi cells exhibited reduced levels of this enzyme (Figure S9), and consistently the NOX inhibitor VAS2879 failed to rescue tumor progression, pointing toward the involvement of a NOX-independent mechanism. Although chromosome damage was not assessed in secondary tumors, genomic instability in primary lesions is a known contributor to metastatic spread [51]. The reduction in brain invasions observed after dTMP or NAC treatments (which mitigated DNA damage) suggests that DNA damage can influence secondary tumor formation. However, we cannot exclude the contribution of other ROS-mediated mechanisms.

While more than 30% of all human cancers are driven by mutations of the RAS family of genes [52, 53] and the loss of cell polarity induced by mammalian orthologs of DLGs (DLG1-5) characterizes many human tumors [5456], the specific co-occurrence of RAS hyperactivation and DLG depletion is uncommon in human tumors likely due to redundancies among DLG paralogs. Nevertheless, the Drosophila RasV12DlgRNAi system represents an invaluable platform for identifying tumor modifiers [3133] —such as SHMT—whose mechanistic role is likely applicable and transferable across a broad range of human malignancies. Consistently, we found that reduced SHMT activity also affected the RasV12csk-/- tumor model, a system sensitive to metabolic alterations [36].

We also found that intracellular PLP levels can significantly modulate the impact of SHMT depletion on RasV12DlgRNAiSHMTRNAi cancers. Crucially, our study provides the first in vivo evidence of a SHMT-PLP gene-nutrient interaction influencing cancer progression through DNA damage. We observed that the concomitant depletion of SHMT and its cofactor PLP led to only a modest increase in primary cephalic tumor growth compared to SHMT depletion alone. In contrast, a pronounced synergistic effect between SHMT and PLP depletions was observed affecting DNA and chromosome damage. Thus, we propose that in RasV12DlgRNAiSHMTRNAi cells, 4DP treatment may induce such an extensive DNA damage that it drives the cells towards apoptosis, as confirmed by observed elevated apoptosis rate, thereby limiting excessive cell proliferation. The basis of this synergism can be an intensified oxidative stress due to both a further reduction of SHMT activity induced by PLP depletion and a weakening of PLP antioxidant function. This is further confirmed by elevated ROS levels in RasV12DlgRNAiSHMTRNAi cells treated with 4DP, and the observed rescue induced by NAC administration. In accordance with this hypothesis previous findings in Drosophila as well as in mammals [28, 57] indicate that low PLP levels can reduce SHMT activity. Furthermore, antioxidant treatments such as ascorbic acid or α-lipoic acid as well as catalase overexpression, were able to rescue both tumor growth and CABs in RasV12DlgRNAi larvae reared on 4DP-supplemented medium [33].

Translated to human cancers our findings may suggest that in tumors with reduced SHMT activity, PLP depletion worsens the outcome by exacerbating oxidative stress, though this effect may be partially mitigated by apoptosis. Conversely, in tumors that overexpress SHMT, a therapeutic strategy involving SHMT inhibitors along with either PLP inhibitors or the silencing of genes involved in PLP biosynthesis might be a promising way to inhibit cancer progression. A recent study revealed that the anti-diabetic metformin [35] can disrupt the PLP-dependent SHMT2 oligomerization, thus decreasing SHMT2 activity in cancer cells that overexpress the enzyme. Our data further suggest that depleting PLP could increase oxidative stress in SHMT-overexpressing tumors, simultaneously impairing its cofactor function and its role as an antioxidant molecule. However, given the essential roles of PLP, a targeted approach is crucial to prevent systemic toxicity.

In conclusion, our comprehensive investigation establishes SHMT role as a tumor suppressor and demonstrates that its depletion drives tumor formation through DNA damage primarily mediated by ROS, exacerbated by impaired DNA repair and replication stress. Importantly, we have identified a significant gene-nutrient interaction between SHMT and vitamin B6, directly impacting these same tumor phenotypes with potential therapeutic implications.

Materials and methods

Drosophila stocks and crosses

SHMTv19206 and TSv29354 lines were obtained from Vienna Drosophila Resource Center (VDRC).

eyflp;UAS-RasV12, UAS-DlgRNAi/CyO, Gal80; act>CD2>Gal4, UAS-GFP and eyflp; Sp/CyO, Gal80; act>CD2>Gal4, UAS-GFP stocks were obtained by K. Basler (Institute of Molecular Life Sciences, University of Zurich, Switzerland). UAS-RasV12/UAS-RasV12; FRT82B/FRT82B and UAS-RasV12; FRT82B cskQ156/TM6B were kindly provided by Hirabayashi lab (London, Institute of Medical Science). yw eyFlp; Act>y+ >Gal4 UAS-GFP; FRT82B, Tub Gal80 was kindly provided by T. Xu lab (Yale School of Medicine).

All stocks were maintained at 25°C. The used balancers and genetic markers are described in detail in FlyBase (http://flybase.bio.indiana.edu/).

Genetic crosses

-To generate larvae carrying RasV12 DlgRNAi tumors, eyflp; UAS-RasV12, UAS-DlgRNAi/CyO, Gal80; act > CD2>Gal4, UAS-GFP females were mated to Oregon-R males.

-To generate RasV12DlgRNAi larvae depleted of SHMT or TS, eyflp;UAS-RasV12, UAS-Dlg RNAi/CyO, Gal80; act > CD2>Gal4, UAS-GFP females were mated to SHMT or TS RNAi lines.

-Control larvae expressing only the GFP protein (depleted or not for SHMR or TS) in the eye-antennal discs were obtained by crossing: eyflp; Sp/CyO,Gal80; act > CD2>Gal4, UAS-GFP females to Oregon-R males (or SHMT or TS RNAi lines).

-To generate larvae expressing RasV12 in eye discs eyflp; Sp/CyO,Gal80; act > CD2>Gal4, UAS-GFP females were crossed to UAS-RasV12/ UAS-RasV12 males.

-To generate RasV12csk-/- larvae yw eyFlp; act > y + > Gal4 UAS GFP; FRT82B, Tub Gal80 females were crossed to UAS-RasV12; FRT82B cskQ156/TM6B males.

Treatments

All stocks were maintained and crossed at 25 °C on a standard medium containing: 0.68 g. agar, 6.52 g. yeast, 3 g. flour, 600 µL propionic acid, and 5.13 g. sucrose, in 100 mL.

4-deoxypyridoxine (4DP, Sigma Cat. No. D0501) as well as pyridoxal 5’phosphate (PLP, Sigma Cat. No. P9255), were dissolved in the standard medium at 2 mM and 0.5 mM final concentrations, respectively. These concentrations were chosen according to [44].

Deoxythymidine monophosphate (dTMP, Merck Cat. No. T7004-100MG) was dissolved in the standard medium at 200 μM concentration according to [28, 33].

N-acetyl cysteine (Sigma, Cat. No. A9165) was dissolved in the standard medium at 1 mg/ml or 4 mg/ml according to [58].

1,1-Dimethylbiguanide hydrochloride (Metformin) Sigma, Cat. No D150959 was dissolved in the standard medium at 50 mM concentration according to [59].

Analysis of larvae

RasV12DlgRNAi third instar larvae (carrying or not carrying SHMT or TS interfering constructs) were collected at 12–14 days after the cross due to a developmental delay. Conversely, non-tumor ey > GFP larvae (carrying or not carrying SHMT or TS interfering constructs) were collected at 6–8 days after the cross. For primary tumor analysis, larvae were immobilized in PBS at 4 °C for at least 30 minutes and then examined using Nikon Eclipse E600 fluorescence microscope, equipped with a mercury lamp and a CDD camera (CoolSNAP MYO). Measurements of the GFP-labeled area were performed on the acquired images using ImageJ 1.54 g software (details are provided in Figure S2). Larvae from at least 3 independent experiments have been examined.

Quantification of VNC invasions

Brains from wandering third-instar larvae collected were dissected in saline (NaCl 0.7%) and examined at the fluorescence microscope (Nikon). The invasions of GFP clones from their original sites (eye-antennal discs and optical lobes) to ventral nerve cords (VNCs) were considered as secondary tumors.

Chromosome cytology

To analyze chromosome aberrations (CABs), eye discs from third instar larvae were dissected in saline (NaCl 0.7%) and incubated in colchicine (final concentration 10-5 M) for 55 minutes. The eye discs were then incubated in hypotonic solution (sodium citrate 0.5%) for 9 minutes, squashed in 45% acetic acid and frozen in liquid nitrogen.

Preparations were mounted in Vectashield H-1200 with 4,6-diamidino-2-phenylindole (DAPI) (Vector Laboratories, Burlingame, CA) to stain the DNA. Cytological preparations were examined with a Nikon Eclipse E600 fluorescence microscope, equipped with a mercury lamp and a CDD camera (CoolSNAP MYO). The number of total cells scored, and the number of scored eye discs are reported in the figure legends. To calculate the number of CABs per cell, we arbitrarily assigned five CABs to each cell with multifragmented chromosomes.

Immunofluorescence

Immunostaining on squashed eye discs from third instar larvae was performed as described in [33]. Eye disc preparations were incubated overnight at 4 °C with primary antibody diluted in PBT (Phosphate Buffered Saline + 0.3% Triton X-100). The primary antibodies used were rabbit anti-Histone H2AvD pS137 Rockland Cat. No. 600-401-914 at 1:100 dilution and rabbit anti-DCP-1 (Cell Signaling Technology Cat. No. 9578) at 1:100 dilution. Following two rinses in PBT primary antibodies were detected by incubation for 1 h with the Alexa Fluor 555-conjugated anti-rabbit secondary antibody (Thermo Fisher Scientific Cat. No. A31572), which was diluted 1:300 in PBT. Observations were carried out using a Nikon Eclipse E600 fluorescence microscope, equipped with a mercury lamp and a CDD camera (CoolSNAP MYO). The γ-H2AV or anti-DCP-1 positive cells were quantified on the acquired pictures using Adobe Photoshop 26.8.1.

Whole mount Immunofluorescence (IF) on eye discs using the antibody anti-DCP-1 (Cell Signaling Technology Cat. No. 9578, 1:100) was performed as described in [33]. Secondary antibody, Alexa Fluor 555-conjugated anti-rabbit (Thermo Fisher Scientific Cat. No. A31572), was diluted 1:500.

Imaging was performed by Zeiss AXIO Observer Z1 inverted fluorescence microscope equipped with an Axiocam 702 mono camera. For each imaginal disc, a minimum of ten slices were acquired. Apoptosis was quantified by determining the percentage area of the anti-DCP-1 positive spots relative to the total disc area, analyzed on confocal z-stack projection images.

X-ray sensitivity test

Third instar larvae were irradiated with 2.5 Gy of X-rays using the MHF200D Gilardoni (Italy) machine, equipped with an X-ray tube. About three hours later eye antennal discs were dissected and incubated for 55 min in colchicine (final concentration 10−5 M) and then fixed as described above to perform chromosome analysis.

To follow the kinetics of γ-H2Av foci, third instar larvae were irradiated with 5 Gy of X-rays; larval eye discs were then dissected and fixed at various post irradiation (PIR) times as reported in the test.

HU sensitivity test

Eye antennal discs, dissected from third instar larvae, were incubated for 20 min in saline with 1 mM (or 2 mM in Figure S7) HU (Sigma, Cat. No. H-8627), washed and placed in saline for 2 h 30 min. 55 min before fixation, HU-treated discs were incubated in 10−5 M colchicine. Following hypotonic treatment (9 min in 0.5% sodium citrate), HU-treated discs were fixed as described above to perform chromosome analysis.

Dihydroethidium (DHE) staining

To assess ROS accumulation, eye-antennal discs from third instar larvae were dissected in Schneider’s medium (Gibco, Cat. No. 21720024) and incubated for 5 min in a dark chamber at room temperature with 30 µM Dihydroethidium (DHE) (Thermo Fisher Cat. No. D23107) in Schneiders medium. Oxidation of DHE by superoxide radicals yields 2-hydroxyethidium. This compound subsequently intercalates into DNA, generating a quantifiable signal at 550 nm within cells characterized by ROS production [60]. After two washes in Schneiders medium, one wash in 0.7% formaldehyde and one wash in PBS, discs were immediately mounted in Fluoromount Mounting Medium (Sigma, Cat. No F4680). Images were captured using a fluorescence microscope (Nikon Eclipse E600), equipped with a mercury lamp and a CDD camera (CoolSNAP MYO).

Quantification was performed on the acquired pictures by using ImageJ software and was expressed as average spot density (number of DHE-positive spots per square micrometer).

Acridine orange staining

Eye imaginal discs from third instar larvae were dissected in 1xPBS and incubated in 1μg/ml Acridine orange (Sigma, Cat. No. 318337) in PBS for 15 min in a dark chamber. After 2 washes in 1x PBS for 5 min eye discs were mounted on microscope slides with 1x PBS. The images were immediately captured using a fluorescence microscope (Nikon Eclipse E600), equipped with a mercury lamp and a CDD camera (CoolSNAP MYO). Quantification was performed on the acquired pictures by using ImageJ/Fiji software and expressed average spot density (number of AO-positive spots per square micrometer).

RNA Extraction, Reverse Transcription, and RT-qPCR

RNA was extracted using the NucleoSpin RNA kit (Macherey and Nagel, Bethlehem, PA, USA) from three biological replicates, each made of 100 larval eye discs. RNA concentration and quality were evaluated by measuring in 0.1 N NaOH the OD at 260 nm and the ratio at 260/280 nm, respectively, and by electrophoresis on 1.2% agarose gels. Reverse transcription of DNase-treated RNAs (1 μg) was carried out using the OneScript® Plus cDNA Synthesis Kit (ABM Good, Richmond, BC, Canada) with the random primers provided in the kit. RT-qPCR was performed on a CFX Connect Real Time PCR system (Bio-Rad, Hercules, CA, USA) with a two-step reaction using SYBR green ExcelTaq™ Master Mix (SMOBIO, Hsinchu City, Taiwan) and the oligonucleotides reported below. The relative expression of each target gene was determined by the Pfaffl method using the α-tubulin and EF-1 as normalizers. The fold induction resulting from the different pairs of samples was averaged and the p value was calculated using the Student’s t-test.

Primers

SHMT

for: 5’-CAGCCTTATTCCGGATCCCC-3’

rev: 5’-AATCGATGATGCCCGTCTCC-3’.

TS:

for: 5’-CAGCCTTATTCCGGATCCCC-3’

rev: 5’-AATCGATGATGCCCGTCTCC-3’.

NOX:

for: 5’-TTTTAACTTCCGTCCCGGCG-3’

rev: 5’-CTGCTCCCGCTCAAAGTAGC-3’.

tubulin:

for: 5’-TGTCGCGTGTGAAACACTTC-3’

rev: 5’-AGCAGGCGTTTCCAATCTG-3’.

EF-1:

for: 5’-GCGTGGGTTTGTGATCAGTT-3’

rev: 5’-GATCTTCTCCTTGCCCATCC-3’.

SHMT activity measurement

SHMT catalytic activity was determined as described in [33]. The analysis was performed on two biological replicates per condition with each replicate consisting of 200 eye imaginal discs.

Statistical analysis

All data are expressed as mean ± standard error of the mean (SEM) from at least three independent experiments. Statistical significance was performed using the unpaired two-tailed t-test, Chi square test or Chi square test for independence as indicated in each figure legend. P < 0.05 was considered significant. Statistical parameters of individual experiments (value of n, mean, SEM, P values) are reported in each figure legend.

Supplementary information

Supplementary figures (1MB, docx)

Acknowledgements

We are grateful to Prof. K. Basler, Prof. S. Hirabayashi, and Prof. T. Xu for generous sharing of fly stocks. We acknowledge BDSC and VDRC for fly stocks.

Author contributions

CA, AF, EP, GT, and BA performed the experiments. AT performed the experiments, analyzed, and interpreted the data. RC analyzed and interpreted the data. FV designed the project, analyzed the data, and wrote the paper. All authors read and approved the final paper.

Funding

This research was supported by grants from Sapienza University of Rome: RD12318A998C70B8 (BBCD Department project); AR1231889041EBDD to EP; AR1241905DD95C63 to GT; RP12419058A651D4 to FV.

Data availability

All data reported in this paper will be shared upon request.

Competing interests

The authors declare no competing interests.

Footnotes

Edited by Dr. Kim McCall

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Chiara Angioli, Angelo Ferriero.

Change history

6/18/2026

The original online version of this article was revised: In Figure 6K, the label “4DP” should be added to the lower central panel corresponding to RasV12DlgRNAi SHMTRNAi, as it identifies the treatment applied to the depicted disc. The omission affects the clarity and correct interpretation of the experimental condition shown in the figure. The error likely occurred during figure preparation due to a Photoshop layer issue.

Change history

7/6/2026

A Correction to this paper has been published: 10.1038/s41419-026-08996-4

Supplementary information

The online version contains supplementary material available at 10.1038/s41419-026-08602-7.

References

  • 1.Lyon P, Strippoli V, Fang B, Cimmino L. B Vitamins and One-Carbon Metabolism: Implications in Human Health and Disease. Nutrients. 2020;12:2867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Fox JT, Stover PJ. Folate-mediated one-carbon metabolism. Vitam Horm. 2008;79:1–44. [DOI] [PubMed] [Google Scholar]
  • 3.Anderson DD, Stover PJ. SHMT1 and SHMT2 are functionally redundant in nuclear de novo thymidylate biosynthesis. PLoS One. 2009;4:e5839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Liu X, Reig B, Nasrallah IM, Stover PJ. Human cytoplasmic serine hydroxymethyltransferase is an mRNA binding protein. Biochemistry. 2000;39:11523–31. [DOI] [PubMed] [Google Scholar]
  • 5.Guiducci G, Paone A, Tramonti A, Giardina G, Rinaldo S, Bouzidi A, et al. The moonlighting RNA-binding activity of cytosolic serine hydroxymethyltransferase contributes to control compartmentalization of serine metabolism. Nucleic Acids Res. 2019;47:4240–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Spizzichino S, Di Fonzo F, Marabelli C, Tramonti A, Chaves-Sanjuan A, Parroni A, et al. Structure-based mechanism of riboregulation of the metabolic enzyme SHMT1. Mol Cell. 2024;84:2682–2697.e6. [DOI] [PubMed] [Google Scholar]
  • 7.Fu R, Sun F, Wang W, Wang R, Zhang H, He X, et al. SHMT proteins: An emerging set of serine hydroxymethyltransferase in cancer. Cell Signal. 2025;135:111977. [DOI] [PubMed] [Google Scholar]
  • 8.Qi C, Qin X, Zhou Z, Wang Y, Yang Q, Liao T. Circ_0072995 Promotes Cell Carcinogenesis via Up-Regulating miR-149-5p-Mediated SHMT2 in Breast Cancer. Cancer Manag Res. 2020;12:11169–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zhang H, Che Y, Xuan B, Wu X, Li H. Serine hydroxymethyltransferase 2 (SHMT2) potentiates the aggressive process of oral squamous cell carcinoma by binding to interleukin enhancer-binding factor 2 (ILF2). Bioengineered. 2022;13:8785–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kim D, Fiske BP, Birsoy K, Freinkman E, Kami K, Possemato RL, et al. SHMT2 drives glioma cell survival in ischaemia but imposes a dependence on glycine clearance. Nature. 2015;520:363–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Wilke AC, Doebele C, Zindel A, Lee KS, Rieke SA, Ceribelli M, et al. SHMT2 inhibition disrupts the TCF3 transcriptional survival program in Burkitt lymphoma. Blood. 2022;139:538–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zhang P, Yang Q. Overexpression of SHMT2 Predicts a Poor Prognosis and Promotes Tumor Cell Growth in Bladder Cancer. Front Genet. 2021;12:682856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Su SW, Chen X, Wang G, Li P, Yang TX, Fang KW, et al. A study on the significance of serine hydroxymethyl transferase expression and its role in bladder cancer. Sci Rep. 2024;14:8324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Shan Y, Liu D, Li Y, Wu C, Ye Y. The expression and clinical significance of serine hydroxymethyltransferase2 in gastric cancer. PeerJ. 2024;12:e16594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Sun M, Zhao M, Li R, Zhang Y, Shi X, Ding C, et al. SHMT2 promotes papillary thyroid cancer metastasis through epigenetic activation of AKT signaling. Cell Death Dis. 2024;15:87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Gao Y, Jing N, Teng X, Wang Y. Serine hydroxymethyltransferase 1 promotes low-grade glioma progression by activating mTORC1 signaling. Neurol Res. 2023;45:415–22. [DOI] [PubMed] [Google Scholar]
  • 17.Paone A, Marani M, Fiascarelli A, Rinaldo S, Giardina G, Contestabile R, et al. SHMT1 knockdown induces apoptosis in lung cancer cells by causing uracil misincorporation. Cell Death Dis. 2014;5:e1525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Gupta R, Yang Q, Dogra SK, Wajapeyee N. Serine hydroxymethyl transferase 1 stimulates pro-oncogenic cytokine expression through sialic acid to promote ovarian cancer tumor growth and progression. Oncogene. 2017;36:4014–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Dou C, Xu Q, Liu J, Wang Y, Zhou Z, Yao W, et al. SHMT1 inhibits the metastasis of HCC by repressing NOX1-mediated ROS production. J Exp Clin Cancer Res. 2019;38:70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Yang Y, Zhang M, Zhao Y, Deng T, Zhou X, Qian H, et al. HOXD8 suppresses renal cell carcinoma growth by upregulating SHMT1 expression. Cancer Sci. 2023;114:4583–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Macfarlane AJ, Perry CA, McEntee MF, Lin DM, Stover PJ. Shmt1 heterozygosity impairs folate-dependent thymidylate synthesis capacity and modifies risk of Apc(min)-mediated intestinal cancer risk. Cancer Res. 2011;71:2098–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wu X, Xu W, Zhou T, Cao N, Ni J, Zou T, et al. The Role of Genetic Polymorphisms as Related to One-Carbon Metabolism, Vitamin B6, and Gene-Nutrient Interactions in Maintaining Genomic Stability and Cell Viability in Chinese Breast Cancer Patients. Int J Mol Sci. 2016;17:2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Wang L, Lu J, An J, Shi Q, Spitz MR, Wei Q. Polymorphisms of cytosolic serine hydroxymethyltransferase and risk of lung cancer: a case-control analysis. Lung Cancer. 2007;57:143–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Komlósi V, Hitre E, Pap E, Adleff V, Réti A, Székely E, et al. SHMT1 1420 and MTHFR 677 variants are associated with rectal but not colon cancer. BMC Cancer. 2010;10:525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Skibola CF, Smith MT, Hubbard A, Shane B, Roberts AC, Law GR, et al. Polymorphisms in the thymidylate synthase and serine hydroxymethyltransferase genes and risk of adult acute lymphocytic leukemia. Blood. 2002;99:3786–91. [DOI] [PubMed] [Google Scholar]
  • 26.Hishida A, Matsuo K, Hamajima N, Ito H, Ogura M, Kagami Y, et al. Associations between polymorphisms in the thymidylate synthase and serine hydroxymethyltransferase genes and susceptibility to malignant lymphoma. Haematologica. 2003;88:159–66. [PubMed] [Google Scholar]
  • 27.Winkler F, Kriebel M, Clever M, Gröning S, Großhans J. Essential Function of the Serine Hydroxymethyl Transferase (SHMT) Gene During Rapid Syncytial Cell Cycles in Drosophila. G3 (Bethesda). 2017;7:2305–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Pilesi E, Angioli C, Graziani C, Parroni A, Contestabile R, Tramonti A, et al. A gene-nutrient interaction between vitamin B6 and serine hydroxymethyltransferase (SHMT) affects genome integrity in Drosophila. J Cell Physiol. 2023;238:1558–66. [DOI] [PubMed] [Google Scholar]
  • 29.Karim FD, Rubin GM. Ectopic expression of activated Ras1 induces hyperplastic growth and increased cell death in Drosophila imaginal tissues. Development. 1998;125:1–9. [DOI] [PubMed] [Google Scholar]
  • 30.Woodhouse E, Hersperger E, Shearn A. Growth, metastasis, and invasiveness of Drosophila tumors caused by mutations in specific tumor suppressor genes. Dev Genes Evol. 1998;207:542–50. [DOI] [PubMed] [Google Scholar]
  • 31.Willecke M, Toggweiler J, Basler K. Loss of PI3K blocks cell-cycle progression in a Drosophila tumor model. Oncogene. 2011;30:4067–74. [DOI] [PubMed] [Google Scholar]
  • 32.Manent J, Banerjee S, de Matos Simoes R, Zoranovic T, Mitsiades C, Penninger JM, et al. Autophagy suppresses Ras-driven epithelial tumourigenesis by limiting the accumulation of reactive oxygen species. Oncogene. 2017;36:5576–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Pilesi E, Tesoriere G, Ferriero A, Mascolo E, Liguori F, Argirò L, et al. Vitamin B6 deficiency cooperates with oncogenic Ras to induce malignant tumors in Drosophila. Cell Death Dis. 2024;15:388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Pagliarini RA, Xu T. A genetic screen in Drosophila for metastatic behavior. Science. 2003;302:1227–31. [DOI] [PubMed] [Google Scholar]
  • 35.Tramonti A, Cuyàs E, Encinar JA, Pietzke M, Paone A, Verdura S, et al. Metformin is a pyridoxal-5′-phosphate (PLP)-competitive inhibitor of SHMT2. Cancers. 2021;13:4009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Hirabayashi S, Baranski TJ, Cagan RL. Transformed Drosophila Cells Evade Diet-Mediated Insulin Resistance Through Wingless Signaling. Cell. 2013;154:664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Natarajan AT, Obe G. Molecular mechanisms involved in the production of chromosomal aberrations. III. Restriction endonucleases. Chromosoma. 1984;90:120–7. [DOI] [PubMed] [Google Scholar]
  • 38.Bonassi S, Znaor A, Norppa H, Hagmar L. Chromosomal aberrations and risk of cancer in humans: an epidemiologic perspective. Cytogenet Genome Res. 2004;104:376–82. [DOI] [PubMed] [Google Scholar]
  • 39.Yagüe-Capilla M, Rudd SG. Understanding the interplay between dNTP metabolism and genome stability in cancer. DMM Disease Models and Mechanisms. 2024;17:dmm050775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Ozer U, Barbour KW, Clinton SA, Berger FG. Oxidative Stress and Response to Thymidylate Synthase-Targeted Antimetabolites. Mol Pharmacol. 2015;88:970–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Merigliano C, Marzio A, Renda F, Somma MP, Gatti M, Vernì F. A Role for the Twins Protein Phosphatase (PP2A-B55) in the Maintenance of Drosophila Genome Integrity. Genetics. 2017;205:1151–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.YOUNG CW, HODAS S. Hydroxyurea: Inhibitory Effect On Dna Metabolism. Science. 1964;146:1172–4. [DOI] [PubMed] [Google Scholar]
  • 43.Ezeriņa D, Takano Y, Hanaoka K, Urano Y, Dick TP. N-Acetyl Cysteine Functions as a Fast-Acting Antioxidant by Triggering Intracellular H 2 S and Sulfane Sulfur Production. Cell Chem Biol. 2018;25:447–459.e4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Marzio A, Merigliano C, Gatti M, Vernì F. Sugar and chromosome stability: clastogenic effects of sugars in vitamin B6-deficient cells. PLoS Genet. 2014;10:e1004199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Tesoriere G, Pilesi E, De Rosa M, Giampaoli O, Patriarca A, Spagnoli M, et al. Vitamin B6 deficiency produces metabolic alterations in Drosophila. Metabolomics. 2025;21:42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Sonoshita M, Cagan RL. Modeling Human Cancers in Drosophila. Curr Top Dev Biol. 2017;121:287–309. [DOI] [PubMed] [Google Scholar]
  • 47.Bilder D. Epithelial polarity and proliferation control: links from the Drosophila neoplastic tumor suppressors. Genes Dev. 2004;18:1909–25. [DOI] [PubMed] [Google Scholar]
  • 48.Herbig K, Chiang EP, Lee LR, Hills J, Shane B, Stover PJ. Cytoplasmic serine hydroxymethyltransferase mediates competition between folate-dependent deoxyribonucleotide and S-adenosylmethionine biosyntheses. J Biol Chem. 2002;277:38381–9. [DOI] [PubMed] [Google Scholar]
  • 49.Mognato M, Burdak-Rothkamm S, Rothkamm K. Interplay between DNA replication stress, chromatin dynamics and DNA-damage response for the maintenance of genome stability. Mutat Res Rev Mutat Res. 2021;787:108346. [DOI] [PubMed] [Google Scholar]
  • 50.Ma N, Wang Y, Li X, Xu M, Tan D. Reactive oxygen species in cancer: Mechanistic insights and therapeutic innovations. Cell Stress Chaperones. 2025;30:100108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Hosea R, Hillary S, Naqvi S, Wu S, Kasim V. The two sides of chromosomal instability: drivers and brakes in cancer. Signal Transduct Target Ther. 2024;9:75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Yang X, Wu H. RAS signaling in carcinogenesis, cancer therapy and resistance mechanisms. J Hematol Oncol. 2024;17:108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Prior IA, Hood FE, Hartley JL. The Frequency of Ras Mutations in Cancer. Cancer Res [Internet]. 2020;80:2669–974. [Google Scholar]
  • 54.Chen S, Xu H, Li N, Yang Y, Pang R, Zhang S, et al. The scaffold protein DLG4 facilitates RNF63-mediated ubiquitination and degradation of STAT3 in non-small cell lung cancer. Cell Commun Signal. 2025;23:325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Lin HT, Steller MA, Aish L, Hanada T, Chishti AH. Differential expression of human Dlg in cervical intraepithelial neoplasias. Gynecol Oncol. 2004;93:422–8. [DOI] [PubMed] [Google Scholar]
  • 56.Song Xqiu, Li Q, Zhang J. A double-edged sword: DLG5 in diseases. Biomedicine and Pharmacotherapy. 2023;162:114611. [DOI] [PubMed] [Google Scholar]
  • 57.Perry C, Yu S, Chen J, Matharu KS, Stover PJ. Effect of vitamin B6 availability on serine hydroxymethyltransferase in MCF-7 cells. Arch Biochem Biophys. 2007;462:21–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Niraula P, Kim MS. extends lifespan of Drosophila via modulating ROS scavenger gene expression. Biogerontology. 2019;20:533–43. [DOI] [PubMed] [Google Scholar]
  • 59.Slack C, Foley A, Partridge L. Activation of AMPK by the putative dietary restriction mimetic metformin is insufficient to extend lifespan in Drosophila. PLoS One. 2012;7:e47699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Zhao H, Kalivendi S, Zhang H, Joseph J, Nithipatikom K, Vásquez-Vivar J, et al. Superoxide reacts with hydroethidine but forms a fluorescent product that is distinctly different from ethidium: potential implications in intracellular fluorescence detection of superoxide. Free Radic Biol Med. 2003;34:1359–68. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary figures (1MB, docx)

Data Availability Statement

All data reported in this paper will be shared upon request.


Articles from Cell Death & Disease are provided here courtesy of Nature Publishing Group

RESOURCES