The research team, led by investigators at Shandong University and collaborating institutions across China, set out to answer a question that has puzzled oncologists for years: how do colorectal cancer cells that survive chemotherapy manage to keep their mitochondria, the cellular power plants, in working order? Drug-tolerant persister cells are known to enter a reversible adaptive state, rather than acquiring permanent genetic resistance mutations, which makes them especially insidious. When therapy stops, these cells can resume proliferation and regenerate the tumor with its original drug sensitivity intact. The researchers built a comprehensive experimental system to catch these cells in the act, using patient-derived xenografts, organoids grown from patient tumors, conventional colorectal cancer cell lines, and cell line-derived xenografts in animal models.

What they observed in the surviving cells was a profound metabolic transformation. The persister cells showed markedly reduced proliferation without a corresponding increase in apoptosis, the programmed cell death that chemotherapy is designed to trigger. When the researchers withdrew the drugs, the cells resumed growth, confirming that the tolerant state was genuinely reversible. At the metabolic level, the persister cells suppressed glycolysis, the sugar-burning pathway that most cancer cells rely on heavily, and produced far less lactate, the acidic byproduct of that pathway. Instead, they became increasingly dependent on oxidative phosphorylation, the more efficient mitochondrial process that generates cellular energy using oxygen. This metabolic shift was accompanied by a striking activation of mitophagy, the cellular quality-control system that selectively recycles damaged mitochondria.

The centerpiece of the discovery is a protein called UQCRC2, or ubiquinol-cytochrome c reductase core protein 2, a structural component of complex III in the mitochondrial electron transport chain. The researchers found that UQCRC2 accumulated in the drug-tolerant persister cells, where it supported Parkin and SQSTM1-associated mitophagy and enabled the residual cells to survive. But the truly novel element lies in how UQCRC2 is regulated. The team employed an emerging field of post-translational modification research known as lactylomics, using global mass-spectrometry-based profiling to map lysine lactylation sites, a chemical tagging process in which lactate-derived lactyl groups attach to lysine residues on proteins. Because the persister cells produced less lactate, the overall level of lysine lactylation across the proteome dropped, and specifically, lactylation of UQCRC2 at the amino acid lysine 430 declined sharply.

Here the story takes a turn worthy of a molecular thriller. When UQCRC2 is heavily lactylated at position 430, the modified protein becomes a target for K48-linked ubiquitination, a molecular tag that condemns proteins to destruction by the proteasome, the cell’s waste-disposal machinery. Reduced lactylation therefore protects UQCRC2 from degradation and allows it to accumulate. The researchers identified the enzyme responsible for removing the lactyl tag: SIRT1, a member of the sirtuin family of NAD-dependent deacylases that has long been associated with longevity, stress resistance, and metabolic regulation. Through a cell-free delactylation assay, the team demonstrated that SIRT1 directly removes the lactylation from UQCRC2 at lysine 430 in a manner dependent on NAD, the cellular energy carrier. This delactylation stabilizes UQCRC2, preserving mitochondrial function and fueling the mitophagy program that keeps the persister cells alive.

The functional consequences of this pathway were confirmed through a series of genetic and pharmacological experiments. When the researchers depleted PINK1, the kinase that initiates the mitophagy cascade, or knocked down UQCRC2 itself, the survival of the residual drug-tolerant cells plummeted and tumor regrowth was significantly delayed. Inhibiting SIRT1, either genetically or with drugs, produced the same effect, effectively collapsing the survival mechanism that the persister cells depend upon. These results suggest that the SIRT1-UQCRC2 axis represents a genuine therapeutic vulnerability, a chink in the armor of chemotherapy-tolerant cells that could be exploited to prevent the outgrowth of tumors after treatment.

Perhaps the most clinically significant finding came from analyses of actual patient samples. Among chemotherapy-responsive patients with advanced colorectal cancer, low expression of the UQCRC2-K430 lactylation mark in tumor tissue remained associated with poorer overall survival even after multivariable statistical adjustment. The researchers also examined paired samples of circulating tumor cells, rare cancer cells that travel through the bloodstream, collected from patients before and after chemotherapy exposure. In these paired samples, increased SIRT1 expression or decreased UQCRC2-K430 lactylation after chemotherapy was associated with shorter progression-free survival. This pattern suggests that the molecular signature of the persister state, detectable in a simple blood-based assay, could serve as an early warning system identifying patients whose residual disease is primed for relapse.

The methodological breadth of the study deserves particular attention. By integrating whole-exome sequencing with transcriptomic, proteomic, metabolomic, and lactylomic analyses, the researchers were able to triangulate the mechanism from multiple independent angles, ruling out genetic mutation as the driver and instead pointing to a reversible epiproteomic program. Whole-exome sequencing confirmed that the persister cells had not acquired new resistance mutations, while the multi-omic profiling revealed the coordinated metabolic and post-translational remodeling that defines the tolerant state. Metabolic assays measuring oxygen consumption and extracellular acidification rates quantified the shift from glycolysis to oxidative phosphorylation, while protein stability and ubiquitination analyses traced the fate of UQCRC2 through the degradation pathway.

The broader implications of this work extend well beyond colorectal cancer. Drug-tolerant persister cells have been implicated in treatment failure across many tumor types, and the discovery that lysine lactylation functions as a metabolic sensor linking glycolytic output to mitochondrial quality control provides a unifying framework for understanding how cancer cells weather therapeutic stress. Lactate, long dismissed as a mere metabolic waste product, is increasingly recognized as a signaling molecule, and this study adds a striking new dimension to that picture: lactate levels directly tune the stability of a core respiratory protein, thereby determining whether a cell can maintain the mitochondrial infrastructure needed to survive chemotherapy. The finding also positions sirtuins, and SIRT1 in particular, as enzymatic gatekeepers of this lactylation-dependent survival program, raising the prospect that existing and experimental SIRT1 inhibitors could be repurposed as anti-persister agents.

For patients, the road from laboratory discovery to clinical application is long, but this study offers concrete waypoints. The identification of UQCRC2-K430 lactylation as a candidate biomarker of chemotherapy-associated residual disease opens the door to trials that could monitor this mark in circulating tumor cells during treatment, potentially allowing oncologists to intervene before overt relapse occurs. Therapeutic strategies that combine standard FOLFOXIRI chemotherapy with agents that disrupt the SIRT1-UQCRC2-mitophagy axis could, in principle, eliminate the reservoir of persister cells that currently seed tumor regrowth. As the authors conclude, this low-lactate, SIRT1-regulated mechanism couples metabolic suppression to mitochondrial quality control and enables reversible chemotherapy tolerance, and it now stands as one of the most mechanistically complete portraits of drug tolerance assembled in any cancer type to date. The study was supported by the National Natural Science Foundation of China and multiple Chinese research foundations, and the full open-access article is available in Molecular Cancer.

Subject of Research: Lactylation-mediated mitophagy in colorectal cancer drug tolerance during chemotherapy

Article Title: UQCRC2 lactylation-mediated mitophagy orchestrates colorectal cancer cell metabolism to establish a drug-tolerant state during chemotherapy

Article References: UQCRC2 lactylation-mediated mitophagy orchestrates colorectal cancer cell metabolism to establish a drug-tolerant state during chemotherapy. (n.d.). https://doi.org/10.1186/s12943-026-02793-5

Image Credits: AI Generated

DOI: 10.1186/s12943-026-02793-5

Keywords: colorectal cancer, drug-tolerant persister cells, FOLFOXIRI chemotherapy, UQCRC2, lysine lactylation, SIRT1, mitophagy, oxidative phosphorylation, metabolic reprogramming, circulating tumor cells, chemotherapy tolerance, Molecular Cancer

The decision to centre emerging investigators rather than established luminaries is itself a statement about how science should evolve. The authors argue that researchers early in their careers are uniquely positioned to challenge prevailing assumptions, adopt interdisciplinary approaches and redirect priorities that may have calcified over decades. The resulting collection of perspectives spans an unusually wide technical range, from neoadjuvant immunotherapy in colorectal cancer to somatic mosaicism in healthy tissues, from the nervous system’s role in tumour progression to artificial intelligence models that predict cellular responses to genetic perturbation. Together, the six contributions sketch a research agenda that is more integrated, more prevention-focused and more computationally ambitious than anything the field has attempted before.

One thread running through the article is the remarkable maturation of cancer immunotherapy, particularly when treatment is moved earlier in the disease course. Myriam Chalabi, a medical oncologist and physician scientist at the Netherlands Cancer Institute in Amsterdam, has built her research programme around immunotherapy delivered in the neoadjuvant setting, using novel treatment combinations within innovative trial designs. The clinical evidence underpinning this shift is striking: recent work has demonstrated neoadjuvant immunotherapy in mismatch-repair-proficient colon cancers, while separate research has shown that non-operative management of mismatch repair deficient tumours can produce durable responses, in some cases allowing patients with rectal cancer to avoid surgery entirely. These results suggest that the immune system, when engaged before a tumour has been removed, can eliminate disease that conventional staging would consider established, and they raise the prospect of organ-preserving treatment as a realistic goal rather than an aspirational one.

Yet immunotherapy has also exposed the limits of tumour-centric thinking, and several of the authors argue that the next 25 years must focus on the host as much as the tumour. James L. Reading, an associate professor of cancer immunology at UCL who leads the Pre-cancer Immunology Laboratory, studies T cell-driven cancer interception — the idea of detecting and eliminating tumours before they become clinically invasive. His work builds on the discovery that reservoirs of stem-like CD8-positive T cells in tumour-draining lymph nodes sustain ongoing antitumor immune responses, and that conventional type I dendritic cells maintain pools of proliferative, tumour-antigen-specific TCF1-positive CD8-positive T cells in those same nodes. Understanding how these immune reservoirs are established and maintained during pre-invasive disease, he argues, could transform early detection from passive imaging into active, immune-guided interception, catching malignancy at a stage when cure rates approach certainty.

The genomic dimension of this preventive agenda is developed most fully by Tim H. H. Coorens, a group leader at the European Bioinformatics Institute who studies how somatic mutations accumulate in normal cells. Twenty-five years ago, cancer genomes were largely studied in isolation from the tissues that produced them. Today, it is clear that essentially every cell in the body accrues mutations over a lifetime, and that clones of mutant cells — some harmless, some pre-malignant — expand and compete in otherwise healthy tissue. Coorens contributed to the Somatic Mosaicism Across Human Tissues network, an effort to catalogue this variation systematically, and recent analyses have shown that age itself can distinguish selective clonal expansion from simple mutational causation in cancer genomes. Meanwhile, the real-world clinical utility of tumour whole-genome sequencing in solid cancers has now been demonstrated at scale, suggesting that comprehensive genomic profiling is moving from research luxury to standard of care. The conceptual shift is profound: cancer becomes not a foreign invader but one possible endpoint of a lifelong evolutionary process, and the levers for prevention may lie in the dynamics of normal tissue.

Perhaps the most visually striking frontier is cancer neuroscience. Leanne Li, a group leader at the Francis Crick Institute in London, combines cancer genetics with neurotechnologies to decipher the logic of interactions between tumours and the nervous system in mouse models. The field’s roots reach back more than a century to observations of nerves within tumours made using methylene blue vital staining, but modern cancer neuroscience has exploded in the past decade. Recent single-neuron sequencing has revealed how individual neurons are reprogrammed by pancreatic cancer, and comprehensive reviews have mapped the past, present and future of the discipline. Li also leads InteroCANCEption, a multidisciplinary team funded by Cancer Grand Challenges to tackle the broader question of how interoception — the body’s sensing and regulation of its own internal signals, a concept elaborated in modern neuroscience — shapes tumour initiation, growth and response to therapy. If tumours co-opt neural circuitry the way they co-opt blood vessels, then neuromodulatory drugs already approved for other conditions could become unexpected additions to the oncology arsenal.

Resistance to therapy, the stubborn core of cancer mortality, is the focus of Shensi Shen, associate professor at West China Hospital, Sichuan University. His work centres on drug-tolerant persister cells — a subpopulation of cancer cells that survives initial treatment not through genetic mutation but through reversible shifts in cell state. Reviews have traced the journey of persister cell biology from basic questions to clinical opportunities, and single-cell analyses have shown that genetically homogeneous cancer cells can diverge into multiple distinct clonal fates when exposed to the same drug. Shen’s particular interest is in layered translational control: the regulation of how messenger RNA is decoded into protein, which allows cancer cells to deploy hidden protein functions and switch states under therapeutic pressure. Because these transitions are non-genetic, they are also potentially reversible, which makes the persister state an attractive target for combination strategies designed to block the escape routes that tumours use to survive targeted therapy and immunotherapy alike.

Underpinning all of these biological questions is a computational revolution, examined by Ewa Szczurek, associate professor at the University of Warsaw and director of the Institute of AI for Health at Helmholtz Munich. Szczurek develops artificial intelligence models for molecular biology and medicine, and her perspective is notably sober about the current state of the field. While foundation models promise to predict how cells respond to genetic and pharmacological perturbations — an ambition exemplified by recent preprint work on state-based prediction of cellular responses — independent evaluations have shown that deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines in many settings. Her message is that the next 25 years of AI in cancer research will be defined not by model size but by data quality, experimental validation and careful benchmarking. If the field heeds that warning, machine learning could genuinely accelerate target discovery and personalised treatment; if it does not, hype risks outrunning biology.

Woven together, the six perspectives describe a field in mid-revolution. The tumour-as-isolated-entity model is giving way to a systems view in which cancer is embedded in the evolutionary dynamics of normal tissues, the immune landscape of pre-invasive disease, the neural circuitry of the host body and the non-genetic plasticity of individual cells. Clinical paradigms are shifting in parallel: treatment is moving earlier, surgery is sometimes becoming optional, and molecular residual disease monitoring — exemplified by analyses of adjuvant osimertinib in resected EGFR-mutated lung cancer — is becoming a guide for post-operative decisions. The anniversary article also translates premalignant biology into strategies for intercepting non-small-cell lung cancer, illustrating how laboratory insight can be converted directly into prevention trials.

What emerges most clearly is a demand for interdisciplinarity as a structural principle rather than a slogan. The authors themselves embody it: a clinician designing immunotherapy trials, a bioinformatician decoding mutation accumulation, a neuroscientist engineering tools to interrogate tumour-nerve crosstalk, an immunologist chasing T cells before invasion, a molecular biologist tracking protein-level resistance and a computer scientist stress-testing the field’s newest models. Their collective wager is that the major killers of the next quarter-century will not be defeated by any single breakthrough but by the deliberate integration of genomics, immunology, neuroscience, developmental biology and computation — and by the willingness of a new generation to ask questions their predecessors did not think to ask.

Subject of Research: Emerging investigators' perspectives on the future priorities of cancer research over the next 25 years

Article Title: The next 25 years of cancer research: emerging perspectives and priorities

Article References: Chalabi, M., Coorens, T. H. H., Li, L., Reading, J. L., Shen, S., & Szczurek, E. (2026). The next 25 years of cancer research: emerging perspectives and priorities. Nature Reviews Cancer. https://doi.org/10.1038/s41568-026-00975-3

Image Credits: AI Generated

DOI: 10.1038/s41568-026-00975-3

Keywords: cancer research, Nature Reviews Cancer, immunotherapy, neoadjuvant therapy, somatic mosaicism, cancer neuroscience, cancer interception, drug-tolerant persister cells, tumour heterogeneity, whole-genome sequencing, artificial intelligence, early detection

The study poignantly addresses the complexity of DTP biology, emphasizing that traditional reductionist experimental models, while insightful, fall short of capturing the full spectrum of interactions occurring within an in vivo tumor microenvironment. To overcome this limitation, the researchers advocate for an integrated approach that marries mechanistic insights from controlled, simplified systems with the dynamic complexity found in living organisms and patient-derived clinical samples. By doing so, the field can move closer to predictive models that faithfully recapitulate the nuances of tumor evolution under drug pressure.

Central to this integrated approach is the deployment of innovative in vitro models that more accurately mimic the tumor’s cellular heterogeneity and microenvironmental conditions. These advanced culture systems enable the study of DTP cells in a context that preserves critical cell-to-cell and cell-to-matrix interactions, which are instrumental in mediating drug tolerance. By refining these models, researchers can dissect signaling pathways and metabolic adaptations that empower certain cancer cells to endure targeted therapies and chemotherapy, providing a window into their survival strategies.

Complementing these refined models, the study explores the power of high-resolution single-cell profiling techniques, such as single-cell RNA sequencing and epigenomic mapping. These technologies offer unprecedented granularity, revealing transcriptional heterogeneity, epigenetic states, and metabolic shifts within the DTP cell population that conventional bulk analyses mask. Through single-cell analysis, scientists can distinguish transient drug-tolerant states from stable resistance and identify rare subpopulations with exceptional survival capabilities—knowledge that is critical for the design of precise therapeutic interventions.

The incorporation of robust computational tools into DTP research is another pillar highlighted by the authors. By harnessing machine learning algorithms and integrative bioinformatics, researchers can analyze multidimensional datasets derived from high-throughput experiments. These tools facilitate the modeling of complex biological networks, predictive biomarker discovery, and simulation of therapeutic response dynamics. Notably, computational frameworks that integrate multi-omics data hold promise in decoding the molecular logic that governs tumor persistence in the face of drug assault, thereby guiding rational drug design and combination therapy regimens.

Crucially, the study acknowledges the transformative potential of artificial intelligence (AI)-based approaches in closing the bench-to-bedside divide. AI techniques excel at uncovering hidden patterns within vast datasets and can accelerate hypothesis generation and experimental prioritization. By integrating AI-driven predictive models with laboratory and clinical data, researchers can expedite the identification of novel targets implicated in DTP cell survival, tailor therapies to patient-specific tumor profiles, and monitor treatment efficacy in real-time, thus personalizing oncology care.

The researchers also emphasize the need for expansive collaborative efforts that extend beyond traditional laboratory confines. The establishment of large, well-annotated biobanks laden with diverse tumor samples and longitudinal patient data is paramount. Such resources will empower investigators to validate candidate biomarkers and therapeutic targets within clinically relevant contexts. Moreover, optimizing tissue sampling methods and integrating longitudinal sampling protocols will facilitate the study of DTP cell dynamics throughout the treatment course, shedding light on temporal changes in drug sensitivity.

Modeling host-related variables emerges as an additional dimension critical to understanding DTP cell biology. The tumor microenvironment is shaped by factors such as immune surveillance, stromal interactions, and systemic metabolism, all of which influence drug response. By developing more sophisticated models that incorporate these host conditions—such as humanized mouse models or ex vivo human organoid cultures—researchers can simulate therapeutic scenarios more faithfully and design interventions that consider both tumor-intrinsic and extrinsic determinants of persistence.

The ultimate ambition outlined by Wang et al. is the translation of these multifaceted insights into concrete clinical interventions to circumvent residual disease and enhance patient survival. Predictive biomarkers that reliably flag the emergence or presence of DTP cells would enable early therapeutic modifications before overt relapse. Similarly, strategies aimed at eradicating or reprogramming DTP cell populations have the potential to prevent drug resistance and achieve durable remissions, marking a paradigm shift in oncology treatment paradigms.

The study acknowledges the formidable challenges that remain, including the intrinsic plasticity of cancer cells, the diversity of tumor types, and the heterogeneity of patient responses. Despite these hurdles, the authors express optimism that continued technological advancements and interdisciplinary collaboration will catalyze significant progress. As novel analytical methods and patient-derived models evolve, the enigma of tumor persistence driven by DTP cells will come into sharper focus, unlocking new avenues for therapeutic intervention.

An exciting aspect of this research is the emphasis on real-world clinical relevance. By integrating findings from cell lines and animal models with data gleaned from clinical trials and real-world patient cohorts, the field can ensure that scientific discoveries are grounded in the complex realities of human disease. This translational approach has the potential to accelerate the bench-to-bedside journey, ultimately delivering more effective and durable cancer treatments.

Furthermore, the study discusses the importance of adaptive clinical trial designs informed by molecular insights into DTP dynamics. Trials that incorporate biomarker-driven patient stratification and longitudinal monitoring could adapt therapeutic regimens based on early detection of drug tolerance markers. This agility in clinical management promises improved outcomes by preemptively targeting DTP cells before resistant disease manifests overtly.

In conclusion, the work by Wang et al. constitutes a clarion call to the cancer research community to embrace a holistic, technologically integrated, and clinically grounded approach to drug-tolerant persister cell biology. By converging innovative cellular models, single-cell genomics, computational biology, AI, and clinical science, the field is poised to unravel the complex molecular circuitry of tumor persistence. These advances herald a new era where residual disease may no longer be an insurmountable obstacle but a conquerable frontier in the quest for cancer cures.

This integrative framework not only deepens our fundamental understanding of cancer cell survival under therapeutic pressure but also paves the way for tangible clinical innovations. As such, the fusion of mechanistic research with patient-centered translational science represents the most promising pathway to improving therapeutic durability, preventing relapse, and ultimately saving lives in oncology.

Subject of Research: Drug-tolerant persister cells in cancer and their role in therapeutic resistance and tumor persistence.

Article Title: Drug-tolerant persister cells in cancer: bridging the gaps between bench and bedside.

Article References:
Wang, Z., Wang, M., Dong, B. et al. Drug-tolerant persister cells in cancer: bridging the gaps between bench and bedside. Nat Commun 16, 10048 (2025). https://doi.org/10.1038/s41467-025-66376-6

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41467-025-66376-6