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Therapy-related myeloid neoplasms are secondary malignancies that are often fatal, but their risk factors are not well understood. Evidence suggests that individuals with clonal haemopoiesis have increased risk of developing haematological malignancies. We aimed to identify whether patients with cancer who have clonal haemopoiesis are at an increased risk of developing therapy-related myeloid neoplasms. We did this retrospective case-control study to compare the prevalence of clonal haemopoiesis between patients treated for cancer who later developed therapy-related myeloid neoplasms (cases) and patients who did not develop these neoplasms (controls). All patients in both case and control groups were treated at MD Anderson Cancer Center (Houston, TX, USA) from 1997 to 2015. We used the institutional medical database to locate these patients. Patients were included as cases if they were treated for a primary cancer, subsequently developed therapy-related myeloid neoplasms, and had available paired samples of bone marrow from the time of therapy-related myeloid neoplasm diagnosis and peripheral blood from the time of primary cancer diagnosis. Patients were eligible for inclusion as age-matched controls if they were treated for lymphoma, received combination chemotherapy, and did not develop therapy-related myeloid neoplasms after at least 5 years of follow-up. We used molecular barcode sequencing of 32 genes on the pretreatment peripheral blood samples to detect clonal haemopoiesis. For cases, we also used targeted gene sequencing on bone marrow samples and investigated clonal evolution from clonal haemopoiesis to the development of therapy-related myeloid neoplasms. To further clarify the association between clonal haemopoiesis and therapy-related myeloid neoplasm development, we also analysed the prevalence of clonal haemopoiesis in an external cohort of patients with lymphoma who were treated in a randomised trial of front-line chemotherapy with cyclophosphamide, doxorubicin, vincristine, and prednisone, with or without melatonin. This trial was done at MD Anderson Cancer Center between 1999 and 2001 (protocol number 98-009). We identified 14 cases and 54 controls. Of the 14 cases, we detected clonal haemopoiesis in the peripheral blood samples of ten (71%) patients. We detected clonal haemopoiesis in 17 (31%) of the 54 controls. The cumulative incidence of therapy-related myeloid neoplasms in both cases and controls at 5 years was significantly higher in patients with clonal haemopoiesis (30%, 95% CI 16–51) than in those without (7%, 2–21; p=0·016). In the external cohort, five (7%) of 74 patients developed therapy-related myeloid neoplasms, of whom four (80%) had clonal haemopoiesis; 11 (16%) of 69 patients who did not develop therapy-related myeloid neoplasms had clonal haemopoiesis. In the external cohort, the cumulative incidence of therapy-related myeloid neoplasms at 10 years was significantly higher in patients with clonal haemopoiesis (29%, 95% CI 8–53) than in those without (0%, 0–0; p=0·0009). In a multivariate Fine and Gray model based on the external cohort, the presence of clonal haemopoiesis significantly increased the risk of therapy-related myeloid neoplasm development (hazard ratio 13·7, 95% CI 1·7–108·7; p=0·013). Preleukaemic clonal haemopoiesis is common in patients with therapy-related myeloid neoplasms at the time of their primary cancer diagnosis and before they have been exposed to treatment. Our results suggest that clonal haemopoiesis could be used as a predictive marker to identify patients with cancer who are at risk of developing therapy-related myeloid neoplasms. A prospective trial to validate this concept is warranted. Cancer Prevention Research Institute of Texas, Red and Charline McCombs Institute for the Early Detection and Treatment of Cancer, NIH through MD Anderson Cancer Center Support Grant, and the MD Anderson MDS & AML Moon Shots Program.

Clonal diversity is a consequence of cancer cell evolution driven by Darwinian selection. Precise characterization of clonal architecture is essential to understand the evolutionary history of tumor development and its association with treatment resistance. Here, using a single-cell DNA sequencing, we report the clonal architecture and mutational histories of 123 acute myeloid leukemia (AML) patients. The single-cell data reveals cell-level mutation co-occurrence and enables reconstruction of mutational histories characterized by linear and branching patterns of clonal evolution, with the latter including convergent evolution. Through xenotransplantion, we show leukemia initiating capabilities of individual subclones evolving in parallel. Also, by simultaneous single-cell DNA and cell surface protein analysis, we illustrate both genetic and phenotypic evolution in AML. Lastly, single-cell analysis of longitudinal samples reveals underlying evolutionary process of therapeutic resistance. Together, these data unravel clonal diversity and evolution patterns of AML, and highlight their clinical relevance in the era of precision medicine. Understanding the evolutionary trajectory of cancer samples may enable understanding resistance to treatment. Here, the authors used single cell sequencing of a cohort of acute myeloid leukemia tumours and identify features of linear and branching evolution in tumours.

Cancers are composed of populations of cells with distinct molecular and phenotypic features, a phenomenon termed intratumor heterogeneity (ITH). ITH in lung cancers has not been well studied. We applied multiregion whole-exome sequencing (WES) on 11 localized lung adenocarcinomas. All tumors showed clear evidence of ITH. On average, 76% of all mutations and 20 out of 21 known cancer gene mutations were identified in all regions of individual tumors, which suggested that single-region sequencing may be adequate to identify the majority of known cancer gene mutations in localized lung adenocarcinomas. With a median follow-up of 21 months after surgery, three patients have relapsed, and all three patients had significantly larger fractions of subclonal mutations in their primary tumors than patients without relapse. These data indicate that a larger subclonal mutation fraction may be associated with increased likelihood of postsurgical relapse in patients with localized lung adenocarcinomas.

Although more than 2,400 genes have been shown to contain variants that cause Mendelian disease, there are still several thousand such diseases yet to be molecularly defined. The ability of new whole-genome sequencing technologies to rapidly indentify most of the genetic variants in any given genome opens an exciting opportunity to identify these disease genes. Here we sequenced the whole genome of a single patient with the dominant Mendelian disease, metachondromatosis (OMIM 156250), and used partial linkage data from her small family to focus our search for the responsible variant. In the proband, we identified an 11 bp deletion in exon four of PTPN11, which alters frame, results in premature translation termination, and co-segregates with the phenotype. In a second metachondromatosis family, we confirmed our result by identifying a nonsense mutation in exon 4 of PTPN11 that also co-segregates with the phenotype. Sequencing PTPN11 exon 4 in 469 controls showed no such protein truncating variants, supporting the pathogenicity of these two mutations. This combination of a new technology and a classical genetic approach provides a powerful strategy to discover the genes responsible for unexplained Mendelian disorders.

Allosteric inhibitors of mutant IDH1 or IDH2 induce terminal differentiation of the mutant leukemic blasts and provide durable clinical responses in approximately 40% of acute myeloid leukemia (AML) patients with the mutations. However, primary resistance and acquired resistance to the drugs are major clinical issues. To understand the molecular underpinnings of clinical resistance to IDH inhibitors (IDHi), we perform multipronged genomic analyses (DNA sequencing, RNA sequencing and cytosine methylation profiling) in longitudinally collected specimens from 60 IDH1- or IDH2-mutant AML patients treated with the inhibitors. The analysis reveals that leukemia stemness is a major driver of primary resistance to IDHi, whereas selection of mutations in RUNX1 / CEBPA or RAS - RTK pathway genes is the main driver of acquired resistance to IDHi, along with BCOR , homologous IDH gene, and TET2 . These data suggest that targeting stemness and certain high-risk co-occurring mutations may overcome resistance to IDHi in AML. The regulation of resistance to IDH inhibitors in acute myeloid leukaemia is not completely understood. Here the authors reveal with integrative multi-omics analyses that stemness features are major drivers of primary resistance, while high-risk mutations drive acquired resistance.

The mechanism by which anti-cancer immunity shapes early carcinogenesis of lung adenocarcinoma (ADC) is unknown. In this study, we characterize the immune contexture of invasive lung ADC and its precursors by transcriptomic immune profiling, T cell receptor (TCR) sequencing and multiplex immunofluorescence (mIF). Our results demonstrate that anti-tumor immunity evolved as a continuum from lung preneoplasia, to preinvasive ADC, minimally-invasive ADC and frankly invasive lung ADC with a gradually less effective and more intensively regulated immune response including down-regulation of immune-activation pathways, up-regulation of immunosuppressive pathways, lower infiltration of cytotoxic T cells (CTLs) and anti-tumor helper T cells (Th), higher infiltration of regulatory T cells (Tregs), decreased T cell clonality, and lower frequencies of top T cell clones in later-stages. Driver mutations, chromosomal copy number aberrations (CNAs) and aberrant DNA methylation may collectively impinge host immune responses and facilitate immune evasion, promoting the outgrowth of fit subclones in preneoplasia into dominant clones in invasive ADC. The evolution of immune landscape in lung adenocarcinoma (ADC) is largely unknown. Here the authors use a cohort of resected invasive lung ADC and its precursors and show a gradual increase of immunosuppression and decrease of anti-tumor response associated with specific genomic and epigenetic features.

Protection against anaemia due to hepatitis C treatments The standard treatment for chronic hepatitis C infection, pegylated interferon (pegIFN) and ribavirin (RBV), carries a range of unpleasant side effects including haemolytic anaemia. Now a genome-wide association study using DNA samples from more than a thousand hepatitis C patients reveals that that genetic variants that lead to inosine triphosphatase deficiency are protective against ribovario-induced haemolytic anaemia. Because inosine triphosphatase deficiency seems to be a benign condition, therapies that target this enzyme could help protect against RBV-induced anaemia. And testing patients for the deficiency could help identify those at risk from this particular side effect. Worldwide, 170 million people are infected with the hepatitis C virus, which is a significant cause of liver-related illnesses and deaths. Standard treatment combines pegylated interferon alpha and ribavirin (RBV), but has some negative effects, notably RBV-induced haemolytic anaemia. Here, a genome-wide study shows that a deficiency in the enzyme inosine triphosphatase protects against haemolytic anaemia in patients receiving RBV. Chronic infection with the hepatitis C virus (HCV) affects 170 million people worldwide and is an important cause of liver-related morbidity and mortality 1 . The standard of care therapy combines pegylated interferon (pegIFN) alpha and ribavirin (RBV), and is associated with a range of treatment-limiting adverse effects 2 . One of the most important of these is RBV-induced haemolytic anaemia, which affects most patients and is severe enough to require dose modification in up to 15% of patients. Here we show that genetic variants leading to inosine triphosphatase deficiency, a condition not thought to be clinically important, protect against haemolytic anaemia in hepatitis-C-infected patients receiving RBV.

We present the analysis of twenty human genomes to evaluate the prospects for identifying rare functional variants that contribute to a phenotype of interest. We sequenced at high coverage ten \"case\" genomes from individuals with severe hemophilia A and ten \"control\" genomes. We summarize the number of genetic variants emerging from a study of this magnitude, and provide a proof of concept for the identification of rare and highly-penetrant functional variants by confirming that the cause of hemophilia A is easily recognizable in this data set. We also show that the number of novel single nucleotide variants (SNVs) discovered per genome seems to stabilize at about 144,000 new variants per genome, after the first 15 individuals have been sequenced. Finally, we find that, on average, each genome carries 165 homozygous protein-truncating or stop loss variants in genes representing a diverse set of pathways.

Mixed phenotype acute leukemia (MPAL) is a rare subtype of acute leukemia characterized by leukemic blasts presenting myeloid and lymphoid markers. Here we report data from integrated genomic analysis on 31 MPAL samples and compare molecular profiling with that from acute myeloid leukemia (AML), B cell acute lymphoblastic leukemia (B-ALL), and T cell acute lymphoblastic leukemia (T-ALL). Consistent with the mixed immunophenotype, both AML-type and ALL-type mutations are detected in MPAL. Myeloid-B and myeloid-T MPAL show distinct mutation and methylation signatures that are associated with differences in lineage-commitment gene expressions. Genome-wide methylation comparison among MPAL, AML, B-ALL, and T-ALL sub-classifies MPAL into AML-type and ALL-type MPAL, which is associated with better clinical response when lineage-matched therapy is given. These results elucidate the genetic and epigenetic heterogeneity of MPAL and its genetic distinction from AML, B-ALL, and T-ALL and further provide proof of concept for a molecularly guided precision therapy approach in MPAL. Mixed phenotype acute leukemia (MPAL) is a rare leukemia that presents both myeloid and lymphoid markers on blasts. Here the authors perform genomic analysis to show MPAL involves genetic and epigenetic heterogeneity and is genetically distinct from AML, B-ALL, and T-ALL.

Histology plays an essential role in therapeutic decision-making for lung cancer patients. However, the molecular determinants of lung cancer histology are largely unknown. We conduct whole-exome sequencing and microarray profiling on 19 micro-dissected tumor regions of different histologic subtypes from 9 patients with lung cancers of mixed histology. A median of 68.9% of point mutations and 83% of copy number aberrations are shared between different histologic components within the same tumors. Furthermore, different histologic components within the tumors demonstrate similar subclonal architecture. On the other hand, transcriptomic profiling reveals shared pathways between the same histologic subtypes from different patients, which is supported by the analyses of the transcriptomic data from 141 cell lines and 343 lung cancers of different histologic subtypes. These data derived from mixed histologic subtypes in the setting of identical genetic background and exposure history support that the histologic fate of lung cancer cells is associated with transcriptomic features rather than the genomic profiles in most tumors. The molecular determinants of lung cancer histologic subtypes are not well understood. Here the authors analyze lung cancers of mixed histology and find that histologic subtypes are associated with transcriptomic features rather than genomic profiles in most tumors.