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BCL11B enhancer hijacking by t(14;16)(q32;q24) translocation defines a novel high-risk subtype of T-ALL.

The molecular classification of T-cell acute lymphoblastic leukemia (T-ALL) remains incomplete, limiting risk stratification and the development of targeted therapies. Enhancer hijacking is a critical oncogenic mechanism that deregulates proto-oncogenes by repositioning cisregulatory regions via structural variants. Here, we performed an integrated analysis of pediatric and adult T-ALL and mixed-phenotype acute leukemias (MPALs), using whole-genome and whole-transcriptome sequencing. This analysis identified a group of 14 patients with predominantly T-lineage neoplasms driven by a t(14;16)(q32;q24) translocation, harboring universal GATA3 mutations and CDKN2A/B deletions. Mechanistically, this translocation repositions the ThymoD locus downstream of BCL11B, causing monoallelic, ectopic overexpression of FENDRR and mesenchymal transcription factor genes FOXF1 and FOXC2 and activating epithelial-mesenchymal transition transcription signatures. Immunophenotypic and single-cell RNA sequencing analyses revealed marked lineage ambiguity with myeloid and B-cell differentiation potentials specific to this subtype. Furthermore, functional analyses in CD34+ cord blood cells demonstrated that FOXF1 overexpression promotes myeloid differentiation while suppressing T-cell differentiation, serving as a key factor for lineage specification. Clinically, this subtype was detected in 0.15% to 4.0% of T-ALL/MPAL cases depending on the cohort, showing a median age of 15 years and enrichment in adolescents and young adults. Importantly, patients with t(14;16)(q32;q24) have an extremely poor prognosis, showing a trend toward worse outcomes than high-risk groups such as KMT2A-rearranged early T-cell progenitor-like, SPI1-rearranged, and LMO2 γδ-like T-ALLs. The unique molecular landscape and poor prognosis of patients with the t(14;16)(q32;q24) translocation underscore the need for the development of novel subtype-specific therapeutic approaches.

Humans↗

The wide spectrum of spinocerebellar ataxias (SCAs).

Spinocerebellar ataxias (SCAs) are a clinically heterogeneous group of disorders. Current molecular classification corresponds to the order of gene description (SCA1-SCA 25). The prevalence of SCAs is estimated to be 1-4/100,000. Patients exhibit usually a slowly progressive cerebellar syndrome with various combinations of oculomotor disorders, dysarthria, dysmetria/kinetic tremor, and/or ataxic gait. They can present also with pigmentary retinopathy, extrapyramidal movement disorders (parkinsonism, dyskinesias, dystonia, chorea), pyramidal signs, cortical symptoms (seizures, cognitive impairment/behavioral symptoms), peripheral neuropathy. SCAs are also genetically heterogeneous and the clinical diagnosis of subtypes of SCAs is complicated by the salient overlap of the phenotypes between genetic subtypes. The following clinical features have some specific values for predicting a gene defect: slowing of saccades in SCA2, ophthalmoplegia in SCA1, SCA2 and SCA3, pigmentary retinopathy in SCA7, spasticity in SCA3, dyskinesias associated with a mutation in the fibroblast growth factor 14 (FGF 14) gene, cognitive impairment/behavioral symptoms in SCA17 and DRPLA, seizures in SCA10, SCA17 and DRPLA, peripheral neuropathy in SCA1, SCA2, SCA3, SCA4, SCA8, SCA18 and SCA25. Neurophysiological findings are compatible with a dying-back axonopathy and/or a neuronopathy. Three patterns of atrophy can be identified on brain MRI: a pure cerebellar atrophy, a pattern of olivopontocerebellar atrophy, and a pattern of global brain atrophy. A remarkable observation is the presence of dentate nuclei calcifications in SCA20, resulting in a low signal on brain MRI sequences. Several identified mutations correspond to expansions of repeated trinucleotides (CAG repeats in SCA1, SCA2, SCA3, SCA6, SCA7, SCA17 and DRPLA, CTG repeats in SCA8). A pentanucleotide repeat expansion (ATTCT) is associated with SCA10. Missense mutations have also been found recently. Anticipation is a main feature of SCAs, due to instability of expanded alleles. Anticipation may be particularly prominent in SCA7. It is estimated that extensive genetic testing leads to the identification of the causative gene in about 60-75 % of cases. Our knowledge of the molecular mechanisms of SCAs is rapidly growing, and the development of relevant animal models of SCAs is bringing hope for effective therapies in human.

Age of Onset↗

Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype.

Identification of specific gene expression signatures characteristic of oncogenic pathways is an important step toward molecular classification of human malignancies. Aberrant activation of the Met signaling pathway is frequently associated with tumor progression and metastasis. In this study, we defined the Met-dependent gene expression signature using global gene expression profiling of WT and Met-deficient primary mouse hepatocytes. Newly identified transcriptional targets of the Met pathway included genes involved in the regulation of oxidative stress responses as well as cell motility, cytoskeletal organization, and angiogenesis. To assess the importance of a Met-regulated gene expression signature, a comparative functional genomic approach was applied to 242 human hepatocellular carcinomas (HCCs) and 7 metastatic liver lesions. Cluster analysis revealed that a subset of human HCCs and all liver metastases shared the Met-induced expression signature. Furthermore, the presence of the Met signature showed significant correlation with increased vascular invasion rate and microvessel density as well as with decreased mean survival time of HCC patients. We conclude that the genetically defined gene expression signatures in combination with comparative functional genomics constitute an attractive paradigm for defining both the function of oncogenic pathways and the clinically relevant subgroups of human cancers.

Animals↗

A pilot study on the application of statistical classification procedures to molecular epidemiological data.

The development of new statistical methods for use in molecular epidemiology comprises the building and application of appropriate classification rules. The aim of this study was to assess various classification methods that can potentially handle genetic interactions. A data set comprising genotypes at 25 single nucleotide polymorphic (SNP) loci from 518 breast cancer cases and 586 age-matched population-based controls from the GENICA study was used to built a classification rule with the discrimination methods SVM (support vector machine), CART (classification and regression tree), Bagging, Random Forest, LogitBoost and k nearest neighbours (kNN). A blind pilot analysis of the genotypic data set was a first approach to obtain an impression of the statistical structure of the data. Furthermore, this analysis was performed to explore classification methods that may be applied to molecular-epidemiological evaluation. The results showed that all blindly applied classification methods had a slightly smaller misclassification rate than a random classification. The findings, nevertheless, suggest that SNP data might be useful for the classification of individuals into categories of high or low risk of diseases.

Breast Neoplasms↗

Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual disease. Report of the BIOMED-1 Concerted Action: investigation of minimal residual disease in acute leukemia.

Prospective studies on the detection of minimal residual disease (MRD) in acute leukemia patients have shown that large-scale MRD studies are feasible and that clinically relevant MRD-based risk group classification can be achieved and can now be used for designing new treatment protocols. However, multicenter international treatment protocols with MRD-based stratification of treatment need careful standardization and quality control of the MRD techniques. This was the aim of the European BIOMED-1 Concerted Action 'Investigation of minimal residual disease in acute leukemia: international standardization and clinical evaluation' with participants of 14 laboratories in eight European countries (ES, NL, PT, IT, DE, FR, SE and AT). Standardization and quality control was performed for the three main types of MRD techniques, ie flow cytometric immunophenotyping, PCR analysis of antigen receptor genes, and RT-PCR analysis of well-defined chromosomal aberrations. This study focussed on the latter MRD technique. A total of nine well-defined chromosome aberrations with fusion gene transcripts were selected: t(1;19) with E2A-PBX1, t(4;11) with MLL-AF4, t(8;21) with AML1-ETO, t(9;22) with BCR-ABL p190 and BCR-ABL p210, t(12;21) with TEL-AML1, t(15;17) with PML-RARA, inv (16) with CBFB-MYH11, and microdeletion 1p32 with SIL-TAL1. PCR primers were designed according to predefined criteria for single PCR (external primers A <--> B) and nested PCR (internal primers C <--> D) as well as for 'shifted' PCR with a primer upstream (E5' primer) or downstream (E3' primer) of the external A <--> B primers. The 'shifted' E primers were designed for performing an independent PCR together with one of the internal primers for confirmation (or exclusion) of positive results. Various local RT and PCR protocols were compared and subsequently a common protocol was designed, tested and adapted, resulting in a standardized RT-PCR protocol. After initial testing (with adaptations whenever necessary) and approval by two or three laboratories, the primers were tested by all participating laboratories, using 17 cell lines and patient samples as positive controls. This testing included comparison with local protocols and primers as well as sensitivity testing via dilution experiments. The collaborative efforts resulted in standardized primer sets with a minimal target sensitivity of 10-2 for virtually all single PCR analyses, whereas the nested PCR analyses generally reached the minimal target sensitivity of 10-4. The standardized RT-PCR protocol and primer sets can now be used for molecular classification of acute leukemia at diagnosis and for MRD detection during follow-up to evaluate treatment effectiveness.

Acute Disease↗

Genetic insight into lung neuroendocrine tumors: Notch and Wnt signaling pathways as potential targets.

BACKGROUND: The molecular landscape of lung neuroendocrine neoplasms is still poorly characterized, making it difficult to develop a molecular classification and personalized therapeutic approaches. Significant clinical heterogeneity of these malignancies has been highlighted among poorly differentiated histotypes and within the subgroup of well-differentiated neuroendocrine tumors (NET). Currently, the main prognostic factors of lung NET include stage, histotype, grade, peripheral location, and demographic parameters. To gain deeper insights into the genomic underpinnings of lung NETs, we conducted a pilot investigation to uncover potential genetic mutations and copy number variations (CNVs) implicated in their pathogenesis. METHODS: Formalin-fixed, paraffin-embedded intraoperative tumor biopsies and matched peripheral blood mononuclear cell samples were collected from six consecutive patients with lung NETs. The whole exome sequencing (WES) was performed to profile germline and somatic mutations, identify novel genetic alterations, and detect CNVs. Clinical and pathological data were systematically documented at diagnosis and during follow-up. RESULTS: The WES analysis identified a subset of mutations shared between germline and somatic; some were of particular clinical interest as they were associated with tumor proliferation and potential therapeutic targets such as the genes KDM5C, ATR, COL7A1, NOTCH4, PTPRS, SMO, SPEN, SPTA1, TAF1. These mutations were predominantly linked to chromatin remodeling and were involved in critical oncogenic pathways such as Notch and Wnt signaling. CONCLUSIONS: This pilot study highlights the potential role of NGS analysis on solid biopsy in the assessment of the mutational profile of lung NET. A comparison of germline and somatic mutations is critical to identifying putative tumor driver mutations. In perspective, the enrichment of a subpopulation of cancer cells in the blood, with one or more specific mutations, is information of enormous clinical relevance, either for prognosis or therapeutic decisions. Translational studies on large prospective series are required to establish the role of liquid biopsy in lung NET.

Humans↗

The phosphatidylinositol 4-phosphate 5-kinase family.

The existence of a PIP5K family of enzymes has been suggested by Western blotting and purification of numerous PIP5Ks from various tissues and cell types. The erythrocyte has at least two PIP5Ks, named PIP5KI and PIP5KII, while the brain appears to have even more isoforms. The cloning of the first PIP5K, the PIP5KII alpha, is just the beginning of the molecular classification of this protein family. The PIP5KII alpha sequence has shown that these enzymes lack obvious homology to protein, sugar and other lipid kinases. The identification of two S. cerevisiae homologues, Mss4p and Fab1p, confirms that this family of kinases is widely distributed in eukaryotes. Not surprisingly, cloning experiments have identified additional isoforms. By cloning additional isoforms, insights into the structure and functions of this family of enzymes will be gained. One reason for a large family of PIP5Ks is that many forms of regulation and cellular functions have been ascribed to PIP5Ks, as summarized in Figure 10. Some of these functional links result from PtdIns[4,5]P2 being required for a given process, but the direct involvement of specific PIP5Ks is not well defined. Which PIP5K isoforms are regulated by a specific mechanism or are involved in a cellular process often is not clear. For example, which PIP5Ks produce PtdIns[4,5]P2 that is hydrolyzed by PLC or phosphorylated by the PI 3-kinase is not known. A few exceptions are PIP5KII not being able to phosphorylate PtdIns[4,5]P2 in native membranes, and PIP5KIs being stimulated by PtdA, required for secretion, and possibly regulated by G proteins of the Rho subfamily. The multiplicity of regulation and functions of each PIP5K isoform remains to be elucidated. Another factor governing the number of isoforms may be presence of multiple pools of polyphosphoinositides and the localizing of PIP5K function within cells. The polyphosphoinositides appear to be compartmentalized within cells and each pool appears to be sensitive to specific signals. These polyphosphoinositide pools may include those in the plasma membrane that are used by PLC, nuclear pools that appear to turn over separately from cytoplasmic pools and a small pool at sites of vesicle fusion with the plasma membrane. Each pool may be controlled by a specific PIP5K isoform. This would explain the diversity of PIP5K cellular roles. Another possibility is that the PIP5Ks are localized to certain areas of the cell by being part of a protein or proteolipid complex. Furthermore, the presence of PITP or PLC in the complex would potentially impart specificity and speed on the use of PtdIns[4]P and PtdIns[4,5]P2 because these lipids could be channeled quickly from one enzyme to the next. The concept of localized complexes containing particular PIP5K isoforms that control the composition of different polyphosphoinositide pools will likely be important as the family of PIP5K isoforms grows.

Amino Acid Sequence↗

Role of multimodality treatment for lung cancer.

Locally advanced non-small cell lung cancer (NSCLC) is, in fact, a systemic disease requiring a multimodality approach for optimal treatment. The role of preoperative chemotherapy has been established and is now an accepted treatment for resectable Stage IIIA NSCLC. Several studies have addressed the feasibility and efficacy of preoperative chemotherapy followed by surgery. All these induction chemotherapy trials have reported a high radiographic response rate, high respectability rate and improved survival in completely resected patients. The findings of three published randomized trials indicate that the survival rate of Stage IIIA patients is better with induction chemotherapy plus surgical resection than with resection alone. More recently, Phase II trials using concurrent chemoradiotherapy have been tested with encouraging results. Chemo-therapy combined with thoracic radiotherapy has emerged as a primary treatment option for locally advanced, unresectable NSCLC. Randomized trials and subsequent meta-analyses have shown a clear survival benefit with platinum-based combination chemotherapy administered with thoracic radiation-as compared to radiation alone-in treating inoperable Stage IIIA and IIIB lung cancer. Combined modality treatment in locally advanced NSCLC continues to evolve and is the subject of ongoing research. Despite clinical advances, many aspects of the management of these patients are yet to be fully clarified: Is surgical resection really necessary for Stage IIIA patients? What is the value of altered-fractionation radiotherapy and three-dimensional conformal radiation therapy? What is the optimal sequencing of radiotherapy and chemotherapy? In this regard, new chemotherapeutic agents may provide additional benefits in the multimodality approach, and it is for this reason that various studies are underway which have incorporated new agents in the front line setting. Finally, a better understanding of the biology of tumors could well help us to optimize treatments. In the future, molecular classification of NSCLC may provide a useful tool when making therapy-related decisions.

Carcinoma, Non-Small-Cell Lung↗

STK11 Mutations and Deletions Define an Aggressive Molecular Subgroup of Cervical Adenocarcinoma.

Cervical adenocarcinoma accounts for 15%-20% of cervical cancers and is associated with poorer survival and reduced response to screening and immunotherapy compared with squamous cell carcinoma (SCC). The genomic drivers underlying this molecular subgroup remain incompletely characterized. Whole-exome sequencing was performed on 302 invasive cervical cancers from Guatemala and Venezuela. Structural variation analysis was conducted using SNP-array and whole-genome sequencing data. Findings were replicated in more than 4600 additional cervical cancer samples from TCGA, AACR Project GENIE, MSKCC, and Caris datasets. TP53 mutations were more frequent in adenocarcinoma than SCC, particularly in HPV-negative tumors. STK11 alterations, including mutations and focal deletions, were significantly enriched in HPV-positive adenocarcinomas compared with SCC and affected 23% of adenocarcinomas overall. Whole-genome analyses identified recurrent focal deletions, inversions, chromosomal rearrangements, and breakage-fusion-bridge events involving chromosome 19p and STK11 that were not detected by exome sequencing alone. STK11 alterations were associated with younger age at diagnosis, poorer overall survival, and inferior outcomes following immune checkpoint inhibitor (ICI) therapy. STK11 alterations significantly co-occurred with YAP1 amplification but were largely mutually exclusive with PIK3CA mutation. Cervical adenocarcinomas also demonstrated significantly lower CD274 (PD-L1) expression than SCC. STK11 alterations define a distinct molecular subgroup of cervical adenocarcinoma characterized by structural disruption of chromosome 19p, younger age at onset, and poorer clinical outcomes. These findings have implications for molecular classification and future targeted therapeutic approaches in cervical cancer.

Humans↗

Variations in gene expression among different types of human skeletal muscle.

There is a consistent variation in the response of different skeletal muscle groups to mutations in genes known to cause muscular dystrophy, yet these muscles appear histologically similar. To better understand these phenotypic differences, we analyzed gene expression patterns in control muscle specimens obtained from four sites at autopsy: deltoid, quadriceps, gastrocnemius, and tibialis anterior (TA). A total of 35 muscle samples from nine individuals (four pediatric and five geriatric) were studied. Factors potentially influencing gene expression in the different samples included individuality, age, muscle type, gender, cause of death, postmortem interval, and ethnicity. The first three factors, in decreasing order, were found to have a significant impact on the stratification of muscle specimens. A novel analytic method, using a second round of normalization, was used to elicit differences between muscle types. This approach may be extended to a broader survey, potentially elucidating a molecular classification of the skeletal muscles.

Adolescent↗

RFLP diversity and relationships among traditional European maize populations.

Given the large extent of hybrid cultivation, the importance of conserving the diversity of crop genetic resources has given birth to numerous collections of old races. In the present paper, we conduct a molecular characterisation of a large collection of 488 European maize populations using the bulk RFLP analysis. The analysis of 23 RFLP loci showed a high allelic richness of 11.5 alleles per locus. Populations from eastern Europe (Poland, Austria, Germany, etc.) showed the lowest genetic diversity, a lower number of unique alleles and a higher percentage of fixed loci than populations from southern Europe. In fact, genetic diversity appeared higher in Southern regions where the first maize populations are thought to have been introduced. Molecular classification based on Rogers' distance (i.e. alleles frequencies) allowed us to distinguish three main clusters which were highly consistent with geographic origins. A Northeastern cluster grouped together early or intermediate populations from Northeastern countries and the Balkans, a southeastern cluster joined late and partially dent populations from Greece and Italy, and, a southwestern cluster was made up of early flint populations from northern Spain, Portugal and the Pyrenees. A correlation between allelic frequencies at some loci and latitude and/or longitude was observed. Such tendencies may reflect the direction of gene flow between different races of maize: for instance, North American (Northern flint) and Caribbean populations were introduced, respectively, to northern and southern Europe, in the past.

Journal Article↗

[Lacrimal gland-associated mucins. Age related production and their role in the pathophysiology of dry eye].

BACKGROUND: The secretory cells of the human lacrimal gland show a PAS-positive reaction in cytochemical staining procedures, suggesting the production of mucous substances. Recently, these substances were differentiated according to modern molecular classifications. RESULTS: Expression studies detected mRNA for MUC1, MUC4, MUC5AC, MUC5B, MUC6, and MUC7, whereas MUC2 transcripts were absent in all samples investigated. Immunohistochemistry revealed membrane-bound MUC1 at the apical surface of acinar cells, MUC5AC associated with goblet cells of excretory ducts, MUC5B and MUC7 in the cytoplasm of acinar cells, and MUC7 also in epithelial cells of excretory ducts. MUC2 (RT-PCR negative) and MUC6 (RT-PCR positive) were not detectable by immunohistochemistry. MUC4 mRNA was present in all samples from patients treated for dry eye but only in 6 of 30 glands from individuals who did not receive treatment with artificial tears. Dot-blot analyses clearly revealed increased amounts of MUC4, MUC5AC and MUC5B in the glands of elderly women who received treatment for dry eye as compared to the remaining samples. CONCLUSION: These results confirm that the human lacrimal gland synthesizes a spectrum of mucins, some of which might be involved in the pathophysiology of dry eye syndrome.

Adolescent↗

Discriminate gene lists derived from cDNA microarray profiles of limited samples permit distinguishing mesenchymal neoplasia ex vivo.

BACKGROUND: Mesenchymal neoplasia comprises a heterogeneous group of tumors with over 200 benign neoplasms and 100 sarcomas. Currently, tumors are classified using histologic and immunocytologic characteristics, with diagnostic error rates reported as high as 40% of cases. As a feasibility study, our goal was to generate a preliminary discriminatory gene list for selected mesenchymal tumors, including sarcomas. This technique may enable an eventual molecular classification schema based on expression profiles that can complement current clinical and pathologic diagnostic procedures in mesenchymal tumors. METHODS: cDNA microarray analyses were preformed on connective tissue tumors obtained at time of surgical resection or biopsy. Messenger RNA (mRNA) from four general tumor classes was competitively hybridized against a human dermal fibroblast cell line comparator and the resulting gene expression profiles processed by ANOVA and linear discriminate analysis. RESULTS: The tissue classification involved 18 patients with malignant peripheral nerve sheath tumors, giant cell containing tumors, benign spindle cell lesions, or Ewing's family of tumors. Lymph nodes from two patients served comparative purposes. Twenty-five differentially regulated genes considered most variable among the five tissue classes were identified. The tissues were segregated into five classes by linear discriminate analysis. CONCLUSIONS: Linear discriminate analysis of cDNA gene expression profiles partitioned mesenchymal tumor classes, even when constrained by limited sample sizes.

Analysis of Variance↗

Profiling of differential gene expression in Wilms tumor by cDNA expression array.

In order to identify genes or pathways involved in Wilms tumor etiology, we used the Atlas Cancer cDNA expression array to compare the gene expression profiles of five tumors, one Wilms tumor cell line (SK-NEP1), and normal mature and fetal kidneys. Of 588 genes tested, 153 had a different expression pattern in tumors compared with mature kidney. Ninety-six genes were differentially expressed in tumors compared with both normal mature and fetal kidney, and 57 genes had expression profiles similar to that of fetal kidney, which may reflect the developmental stage of the tumor cells. Comparison of the expression patterns of tumors shows that only 13% of the differentially expressed genes are constantly up- or downregulated in the five tumors tested, and this provides molecular evidence of tumor heterogeneity. We then confirmed the differential expression by an independent method, using quantitative reverse transcriptase polymerase chain reaction for two of the differentially expressed genes, MMP-14 and cyclin D2. Analysis of expression levels in a panel of 40 tumors showed that 30% overexpressed MMP-14 and 80% overexpressed cyclin D2. Profiling of gene expression using cDNA arrays in a large tumor panel will ultimately lead to the molecular classification of tumors, the identification of prognosis markers, and the design of targeted therapy.

Cyclin D2↗

Differentially expressed genes between primary cancer and paired lymph node metastases predict clinical outcome of node-positive breast cancer patients.

The axillary lymph node status remains the most valuable prognostic factor for breast cancer patients. However, approximately 20-30% of node-positive patients remain free of distant metastases within 15-30 years. It is important to develop molecular markers that are able to predict for the risk of distant metastasis and to develop patient-tailored therapy strategies. We hypothesize that the lymph node metastases may represent the most metastatic fraction of the primary cancers. Therefore, we sought to identify the differentially expressed genes by microarray between the primary tumors and their paired lymph node metastases samples collected from 26 patients. A set of 79 differentially expressed genes between primary cancers and metastasis samples was identified to correctly separate most of primary cancers from lymph node metastases. And decreased expression of matrix metalloproteinase 2, fibronectin, osteoblast specific factor 2, collagen type XI alpha 1 in lymph node metastases were further confirmed by real-time RT-PCR performed on 30 specimen pairs. This set of genes also classified 35 primary cancers into two groups with different prognosis: "high risk group" and "low risk group." Patients in "high risk group" had a 4.65-fold hazard ratio (95% CI 1.02-21.13, P = 0.047) to develop a distant metastasis within 43 months comparing with the "low risk group." This suggested that the gene signature consisting of 79 differentially expressed genes between primary cancers and lymph node metastases could also predict clinical outcome of node-positive patients, and that the molecular classification based on the gene signature could guide patient-tailored therapy.

Breast Neoplasms↗

Pediatric non-Hodgkin's lymphoma: clinical and biologic prognostic factors and risk allocation.

The use of effective combination chemotherapy for all stages and subtypes of non-Hodgkin"s lymphoma (NHL) in children has resulted in a striking improvement in cure rates. Event-free survival now ranges from 70% to 90%, depending on the stage of disease and the NHL subtype. Risk-adapted therapy has resulted in a dramatic improvement in outcome for high-risk patients, at the cost of significantly increased short-term toxicity, and a reduction of therapy and toxicity for the lower-risk patient, while maintaining the excellent cure rate. Successful risk allocation of patients is dependent on the identification and continual validation of prognostic factors. The specific treatment protocol is the single most important factor predicting outcome today. Traditional prognostic factors such as stage and tumor burden are useful in selecting the intensity and length of therapy, rather than as a major indicator of likelihood of survival. In order to further improve cure rates and decrease toxicity, new biologic prognosticators need to be found and validated. Some promising avenues for study appear to be the presence or absence of adhesion molecules and of aberrant proteins that are specific to subtypes of lymphomas, such as soluble CD30 and anaplastic lymphoma kinase (ALK), the molecular classification of lymphomas on the basis of gene expression, and the evaluation of biologic markers for measuring early response to therapy.

Antineoplastic Agents↗

Advances in the molecular genetics of acute leukemia.

Acute leukemias are characterized by the unrestrained clonal proliferation of hematopoietic precursor cells coupled with aberrant or arrested differentiation. The molecular basis of hematopoiesis and leukemogenesis is still being defined, yet it is increasingly evident that acute leukemias have recurrent molecular features that can be exploited for diagnostic, prognostic, and therapeutic purposes. Modern molecular technologies already influence treatment strategies for these diseases, and it is likely that as such technology matures it will have an increasing impact on all aspects of acute leukemia management. This article reviews recent developments in the molecular classification, prognostication, and treatment of the acute leukemias.

Cell Line, Tumor↗

HeteroGeNETics: Neuroendocrine tumor genetics reflect their heterogeneous complex diversity.

Neuroendocrine neoplasms (NENs) comprise a diverse group of malignancies arising across multiple anatomical sites and displaying remarkable biological and clinical heterogeneity. While advances in sequencing have identified recurrent genetic alterations in several NEN subtypes, these tumors remain largely characterized by a relatively low mutational burden and lack of dominant oncogenic drivers. Consequently, emerging evidence suggests that the molecular basis of neuroendocrine tumorigenesis extends beyond individual mutations and involves broader processes such as chromatin remodeling, telomere maintenance, epigenetic dysregulation and cellular plasticity. This review aims to summarize the current molecular landscape of pulmonary, gastro-enteropancreatic and thymic NENs, focusing on the biological pathways and cellular programs disrupted by recurrent genetic alterations unrelated to syndromes. We discuss how multi-omic studies have refined molecular classification and revealed common principles underlying neuroendocrine tumor development. Collectively, recent literature supports a shift from mutation-centered models toward a more integrated understanding of the complex biology and evolution of NENs.

genomics↗