The incidence of acute myeloid leukaemia (AML) increases with age and mortality exceeds 90% when diagnosed after age 65. Most cases arise without any detectable early symptoms and patients usually present with the acute complications of bone marrow failure¹. The onset of such de novo AML cases is typically preceded by the accumulation of somatic mutations in preleukaemic haematopoietic stem and progenitor cells (HSPCs) that undergo clonal expansion^2,3. However, recurrent AML mutations also accumulate in HSPCs during ageing of healthy individuals who do not develop AML, a phenomenon referred to as age-related clonal haematopoiesis (ARCH)^4,5,6,7,8. Here we use deep sequencing to analyse genes that are recurrently mutated in AML to distinguish between individuals who have a high risk of developing AML and those with benign ARCH. We analysed peripheral blood cells from 95 individuals that were obtained on average 6.3 years before AML diagnosis (pre-AML group), together with 414 unselected age- and gender-matched individuals (control group). Pre-AML cases were distinct from controls and had more mutations per sample, higher variant allele frequencies, indicating greater clonal expansion, and showed enrichment of mutations in specific genes. Genetic parameters were used to derive a model that accurately predicted AML-free survival; this model was validated in an independent cohort of 29 pre-AML cases and 262 controls. Because AML is rare, we also developed an AML predictive model using a large electronic health record database that identified individuals at greater risk. Collectively our findings provide proof-of-concept that it is possible to discriminate ARCH from pre-AML many years before malignant transformation. This could in future enable earlier detection and monitoring, and may help to inform intervention.

We aimed to validate genetic variants as instruments for insulin resistance and secretion, to characterize their association with intermediate phenotypes, and to investigate their role in type 2 diabetes (T2D) risk among normal-weight, overweight, and obese individuals. We investigated the association of genetic scores with euglycemic-hyperinsulinemic clamp– and oral glucose tolerance test–based measures of insulin resistance and secretion and a range of metabolic measures in up to 18,565 individuals. We also studied their association with T2D risk among normal-weight, overweight, and obese individuals in up to 8,124 incident T2D cases. The insulin resistance score was associated with lower insulin sensitivity measured by M/I value (β in SDs per allele [95% CI], −0.03 [−0.04, −0.01]; P = 0.004). This score was associated with lower BMI (−0.01 [−0.01, −0.0]; P = 0.02) and gluteofemoral fat mass (−0.03 [−0.05, −0.02; P = 1.4 × 10⁻⁶) and with higher alanine transaminase (0.02 [0.01, 0.03]; P = 0.002) and γ-glutamyl transferase (0.02 [0.01, 0.03]; P = 0.001). While the secretion score had a stronger association with T2D in leaner individuals (P_interaction = 0.001), we saw no difference in the association of the insulin resistance score with T2D among BMI or waist strata (P_interaction > 0.31). While insulin resistance is often considered secondary to obesity, the association of the insulin resistance score with lower BMI and adiposity and with incident T2D even among individuals of normal weight highlights the role of insulin resistance and ectopic fat distribution in T2D, independently of body size.

Significance: Long noncoding RNAs (lncRNAs) are starting to be recognized as critical molecules for cellular transformation, although only a few candidates have so far been characterized. Here we report that TP53TG1 is an lncRNA that is critical for the correct response of p53 to DNA damage. The cancer growth suppressor features of TP53TG1 are linked to its ability to block the tumorigenic activity of the RNA binding protein YBX1. The DNA methylation-associated silencing of TP53TG1 produces aggressive tumors that are resistant to cellular death when DNA-damaging agents and small targeted molecules are used. Our study provides an example of a tumor suppressor lncRNA undergoing an epigenetic lesion in cancer that is placed at the crossroads of DNA damage and oncogenic pathways.

There are no established predictive markers of progression of gastric preneoplastic lesions. The aim of this study was to analyze the relationship between Helicobacter pylori cagA and vacA genotypes and progression of gastric preneoplastic lesions. This was a follow-up study that carried out in a province of Spain with a high risk of gastric cancer. A total of 312 patients who underwent upper endoscopy with gastric biopsy in 1988-1994 with diagnoses of normal mucosa, non-atrophic gastritis (NAG), non-metaplastic multifocal atrophic gastritis (MAG), and complete or incomplete intestinal metaplasia (IM), and who accepted to undergo a new biopsy during 2005-2007 or had an end point during follow-up, were included in this study. Detection and characterization of H. pylori cagA and vacA genotypes was performed directly in baseline paraffin-embedded gastric biopsy specimens by PCR followed by reverse hybridization onto a line probe assay. Inter- and intra-observer variability of histological diagnosis was assessed. Analysis was done using unconditional logistic regression. The mean age of patients was 48.5 years (45% males) and the mean of follow-up was 12.8 years. H. pylori strains harboring cagA, vacA s1, and vacA m1 genotypes were more frequently found in patients with more advanced gastric preneoplastic lesions. Infection with cagA-positive, vacA s1, and vacA m1 strains was associated with progression of gastric preneoplastic lesions (multivariate odds ratio (OR)=2.28, 95% confidence interval (CI) 1.13-4.58; OR=2.90, 95% CI 1.38-6.13; and OR=3.38, 95% CI 1.34-8.53, respectively). Infection with strains that are simultaneously cagA positive and vacA s1/m1 was associated with progression of gastric precancerous lesions with an OR of 4.80 (95% CI 1.71-13.5) in relation to those infected with cagA-negative/vacA s2/m2 strains. H. pylori genotyping may be useful for the identification of patients at high risk of progression of gastric preneoplastic lesions and who need more intensive surveillance.