# Decoding Early-Onset Aging After Cancer: Hallmarks, Biomarkers, and Future Directions for Childhood and Young Adult Survivorship

**Authors:** Jasper David Feldkamp, Nele Schmitt, Sanem Özayral, Mareike Frick

PMC · DOI: 10.3390/cancers18040644 · 2026-02-16

## TL;DR

Cancer survivors, especially young ones, often face age-related health issues due to treatments, and this review explores how biological aging processes might explain these effects.

## Contribution

This review synthesizes current evidence on molecular hallmarks of accelerated aging in young cancer survivors and highlights potential biomarkers for risk assessment.

## Key findings

- Epigenetic age acceleration is consistently observed in cancer survivors and correlates with treatment and health conditions.
- Clonal hematopoiesis is enriched in survivors and may indicate long-term cardiovascular and hematologic risks.
- Immune dysregulation and inflammaging underscore the systemic impact of cancer therapies on aging pathways.

## Abstract

More children, teenagers, and young adults survive cancer today than ever before, but many develop health problems years after their treatment has ended. These problems often look similar to conditions usually seen in much older adults, such as heart disease, hormone changes, memory difficulties, or second cancers. This has raised the important question of whether cancer treatment speeds up the body’s natural aging processes. In this review, we bring together current knowledge about biological changes that may explain why some survivors experience earlier or more severe long-term health issues. We look at different signs of aging inside the body, such as changes in DNA regulation, stress on blood-forming cells, inflammation, immune system weakness, and energy production in cells. By summarizing the latest research, we aim to show how these changes develop, how they may interact, and how they could help identify survivors at higher risk for future health problems. Understanding these biological aging processes may guide new ways to monitor health, prevent complications, and design treatments that protect long-term wellbeing in young cancer survivors.

Survival rates for children, adolescents, and young adults (CAYA) with cancer have markedly improved over recent decades, resulting in a rapidly growing population of long-term survivors. However, many of these individuals experience late and long-term treatment-related effects that resemble conditions typically associated with advanced age, including cardiovascular disease, endocrine dysfunction, neurocognitive impairment, and secondary malignancies. This clinical constellation has led to the concept of therapy-induced accelerated aging, suggesting that cancer treatments provoke biological changes that mirror, and may accelerate, physiological aging processes. In this review, we examine current evidence for aging-associated molecular hallmarks in CAYA cancer survivors, focusing on epigenetic alterations, genomic instability, chronic inflammation, cellular senescence, telomere attrition, and mitochondrial dysfunction. Epigenetic age acceleration is consistently observed across multiple survivor cohorts and correlates with treatment exposures, lifestyle factors, and chronic health conditions, positioning DNA methylation-based clocks as promising integrative biomarkers. Likewise, clonal hematopoiesis—reflecting persistent genomic stress—appears enriched in survivors, particularly decades after therapy, and may serve as an indicator of long-term cardiovascular and hematologic risk. Immune dysregulation, inflammaging, and senescence markers further underscore the systemic impact of cancer therapies on biological aging pathways. While telomere shortening and mitochondrial alterations also contribute to this phenotype, their standalone biomarker utility remains limited. Together, these hallmarks highlight the multifaceted nature of accelerated aging in CAYA survivors. Future work integrating multi-omics biomarkers with clinical phenotyping will be essential to identify high-risk individuals, guide targeted interventions, and advance personalized survivorship care.

## Linked entities

- **Diseases:** cardiovascular disease (MONDO:0004995)

## Full-text entities

- **Genes:** STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774] {aka ADMIO, ADMIO1, APRF, HIES}, STK11 (serine/threonine kinase 11) [NCBI Gene 6794] {aka LKB1, PJS, hLKB1}, TET2 (tet methylcytosine dioxygenase 2) [NCBI Gene 54790] {aka IMD75, KIAA1546, MDS}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, DICER1 (dicer 1, ribonuclease III) [NCBI Gene 23405] {aka DCR1, Dicer, Dicer1e, GLOW, HERNA, K12H4.8-LIKE}, CHEK2 (checkpoint kinase 2) [NCBI Gene 11200] {aka CDS1, CHK2, HuCds1, LFS2, PP1425, RAD53}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029] {aka ARF, CAI2, CDK4I, CDKN2, CMM2, INK4}, PTEN (phosphatase and tensin homolog) [NCBI Gene 5728] {aka 10q23del, BZS, CWS1, DEC, GLM2, MHAM}, MSH2 (mutS homolog 2) [NCBI Gene 4436] {aka COCA1, FCC1, HNPCC, HNPCC1, LCFS2, LYNCH1}, DNMT3A (DNA methyltransferase 3 alpha) [NCBI Gene 1788] {aka DNMT3A2, HESJAS, M.HsaIIIA, TBRS}, MLH1 (mutL homolog 1) [NCBI Gene 4292] {aka COCA2, FCC2, HNPCC, HNPCC2, LYNCH2, MLH-1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, ASXL1 (ASXL transcriptional regulator 1) [NCBI Gene 171023] {aka BOPS, MDS}, NF1 (neurofibromin 1) [NCBI Gene 4763] {aka NFNS, VRNF, WSS}, AMH (anti-Mullerian hormone) [NCBI Gene 268] {aka MIF, MIS}, DPYD (dihydropyrimidine dehydrogenase) [NCBI Gene 1806] {aka DHP, DHPDHASE, DPD, DYPD}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, PPM1D (protein phosphatase, Mg2+/Mn2+ dependent 1D) [NCBI Gene 8493] {aka IDDGIP, JDVS, PP2C-DELTA, WIP1}, PMS2 (PMS1 homolog 2, mismatch repair system component) [NCBI Gene 5395] {aka HNPCC4, LYNCH4, MLH4, MMRCS4, PMS-2, PMSL2}, MSH6 (mutS homolog 6) [NCBI Gene 2956] {aka GTBP, GTMBP, HNPCC5, HSAP, LYNCH5, MMRCS3}, PALB2 (partner and localizer of BRCA2) [NCBI Gene 79728] {aka BROVCA5, FANCN, PNCA3}, H3P16 (H3 histone pseudogene 16) [NCBI Gene 644914] {aka H3.6, H3F3AP6, p21}
- **Diseases:** sarcopenia (MESH:D055948), Chronic Inflammation (MESH:D007249), ARCH (MESH:C536227), injury to (MESH:D014947), premature ovarian failure (MESH:D016649), metabolic syndrome (MESH:D024821), mitochondrial dysfunction (MESH:D028361), CLL (MESH:D015451), multiple myeloma (MESH:D009101), gonadal failure (MESH:D051437), Cancer (MESH:D009369), diabetes mellitus (MESH:D003920), lymphopenia (MESH:D008231), polyneuropathy (MESH:D011115), chronic kidney disease (MESH:D051436), CAYA (MESH:C536718), obesity (MESH:D009765), multiple organ dysfunction (MESH:D009102), fatigue (MESH:D005221), Metabolic disorders (MESH:D008659), AML (MESH:D015470), hematologic malignancies (MESH:D019337), LLTEs (MESH:D000069451), frailty (MESH:D000073496), dysfunction of the autonomous nervous system (MESH:D001342), Lynch syndrome (MESH:D003123), abnormal cardiac function (MESH:D000014), death (MESH:D003643), hypertension (MESH:D006973), neurocognitive impairment (MESH:D019965), infection (MESH:D007239), cardiovascular (MESH:D002318), primary (MESH:D010538), difficulties with attention and memory (MESH:D001289), Endocrine complications (MESH:D004700), infertility (MESH:D007246), acute lymphoblastic leukemia (MESH:D054198), functional loss (MESH:D006315), immune (MESH:D007154), toxicity (MESH:D064420), age (MESH:D019588), insulin resistance (MESH:D007333), osteoporosis (MESH:D010024), thyroid dysfunction (MESH:D013959), breast cancer (MESH:D001943), congestive heart failure (MESH:D006333), CAD (MESH:D006331), Li-Fraumeni syndrome (MESH:D016864), pulmonary problems (MESH:D019973), Immune dysregulation (OMIM:614878), DLBCL (MESH:D016403), growth hormone deficiency (MESH:D004393), cognitive decline (MESH:D003072), memory difficulties (MESH:D008569), impaired adaptive immunity (MESH:D018489), chronic (MESH:D002908)
- **Chemicals:** epipodophyllotoxins (MESH:D011034), vincristine (MESH:D014750), 5-FU (MESH:D005472), bleomycin (MESH:D001761), BioRender (-), ROS (MESH:D017382)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12939499/full.md

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Source: https://tomesphere.com/paper/PMC12939499