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PubMed2006

Loss of nuclear p27 (CDKN1B/KIP1) in colorectal cancer is correlated with microsatellite instability and CIMP.

Downregulation of p27 (cyclin-dependent kinase inhibitor-1B, CDKN1B or KIP1) is caused by increased ubiquitin-mediated proteasomal degradation in colorectal cancer, and has been associated with poor prognosis. CpG island methylator phenotype (CIMP) is a phenotype of colorectal cancer with extensive promoter methylation, and associated with high degree of microsatellite instability (MSI-H) and BRAF mutations. We have recently shown that both CIMP and MSI-H are inversely associated with downregulation of p21 (CDKN1A or CIP1), another cyclin-dependent kinase inhibitor. However, no study to date has examined relationship between p27 and CIMP status in colorectal cancer. Using MethyLight assays, we measured DNA methylation in five CIMP-specific gene promoters {CACNA1G, CDKN2A (p16), CRABP1, MLH1 and NEUROG1} in 706 colorectal cancer samples obtained from two large prospective cohorts. Among the 706 tumors, 112 (16%) were CIMP-high tumors with >or=4/5 methylated promoters. We assessed p27 and p53 expressions by immunohistochemistry. Loss of nuclear p27 expression {observed in 231 tumors (33%)} was significantly associated with CIMP-high, MSI-H and BRAF mutations, and these associations were much more pronounced among p53-negative tumors than p53-positive tumors. When CIMP-high and non-CIMP-high tumors were stratified by MSI status (or KRAS and BRAF status), CIMP-high and MSI-H (but not BRAF mutations) were still significantly associated with nuclear p27 loss. Nuclear p27 loss did not appear to be directly related to CDKN2A (p16) methylation. We conclude that downregulation of nuclear p27 is associated with CIMP-high and MSI-H in colorectal cancer. These associations are stronger among p53 wild-type tumors, implying important interplay of p27 and p53 functions (or dysfunctions) in the development of various molecular subtypes of colorectal cancer.

Cell Nucleus↗

PubMed2005

Cell type-specific tumor suppression by Ink4a and Arf in Kras-induced mouse gliomagenesis.

Homozygous deletion of the INK4a-ARF locus is one of the most frequent mutations found in human glioblastoma. We have previously shown that combined Ink4a-Arf loss can increase tumor incidence in both glial progenitor cells and astrocytes during mouse gliomagenesis. Here we have investigated the separate contribution of loss of each of the tumor suppressor genes in glial progenitor cells and astrocytes in Akt + Kras-induced gliomagenesis. We show that Arf is the major tumor suppressor gene in both cell types. Arf loss generated glioblastomas from both nestin-expressing glial progenitor cells and glial fibrillary acidic protein-expressing astrocytes, with a significantly higher incidence in astrocytes. Ink4a loss, on the other hand, could only significantly contribute to gliomagenesis from glial progenitor cells and the induced tumors were of lower malignancy than those seen in Arf-deficient mice. Thus, Ink4a and Arf have independent and differential tumor suppressor functions in vivo in the glial cell compartment.

Animals↗

PubMed2006

Somatic mutations of epidermal growth factor receptor signaling pathway in lung cancers.

Somatic mutations in the tyrosine kinase (TK) domain of the epidermal growth factor receptor (EGFR) gene in lung cancers have generated enormous interest, because they predict for sensitivity to TK inhibitors (TKIs). While mutational status is of great importance in determining response to TKIs, it is not the sole factor, and evidence is accumulating that EGFR gene amplification, other members of the EGFR family (HER2, HER3) and genes downstream of EGFR signaling (KRAS, BRAF), may be involved in cancer pathogenesis and the response of TKIs. EGFR mutations occur in highly selected subpopulations of lung cancer patients: adenocarcinoma histology, never-smoker status, East Asian ethnicity and female gender. The recent finding of "a resistance associated" mutation for TKIs also provides new insights into this complicated mechanism. Thus, molecular-based studies to analyze the biological functions and to assess TKI sensitivity depending on the type of mutations are required. Epidemiological studies to identify possible carcinogenic factor(s) affecting different subpopulations are also of interest. In addition, for optimal therapeutic approach a comprehensive understanding of the genes related to EGFR signaling pathway, including RAS/RAF/MAPK and PI3K-AKT pathways, are required.

DNA Mutational Analysis↗

PubMed2026

Mutational Landscape and Clonal Dynamics in AML Undergoing PTCy Hematopoietic Cell Transplantation.

To improve risk stratification, we performed targeted NGS at diagnosis in 191 patients with AML undergoing myeloablative allogeneic HCT with PTCy-based prophylaxis. We also investigated clonal evolution using paired diagnostic and relapse samples from 39 individuals. A total of 610 mutations were detected in 184 patients (96%), most commonly in FLT3 (26%), DNMT3A (25%), RUNX1 (24%), and NPM1 (19%). Sixteen unique fusion genes were identified in 35 patients, with KMT2A (43%) and core binding factor rearrangements (23%) being the most frequent. TP53 and WT1 mutations were strongly associated with adverse outcomes, whereas NPM1 retained favorable significance. RUNX1 co-mutations with SF3B1 or NRAS were associated with inferior survival. In an exploratory allelic analysis, multi-hit TP53 alterations, but not single-hit mutations, were associated with distinctly poorer OS, EFS, and relapse risk. Relapse involved mutational shifts in ∼70% of cases, with significant enrichment of WT1 and more modest increases in TP53, KRAS, ASXL1, NF1, and MECOM, while DNMT3A, TET2, and ASXL1 persisted stably. Neither acute nor chronic graft-versus-host disease was associated with molecular remodeling at relapse. Incorporating TP53 and WT1 into risk models, recognizing context-dependent effects of DNMT3A and RUNX1, and applying longitudinal genomic monitoring may help guide personalized strategies to prevent relapse. Extended abstract BACKGROUND Relapse remains the leading cause of treatment failure after allogeneic hematopoietic cell transplantation (HCT) for acute myeloid leukemia (AML), yet the genetic mechanisms underlying post-transplant relapse remain poorly understood, particularly in the era of post-transplant cyclophosphamide (PTCy). Characterizing the mutational landscape at diagnosis and the clonal evolution leading to relapse may improve post-transplant risk stratification and identify opportunities for personalized surveillance and intervention. OBJECTIVES To characterize the diagnostic mutational landscape, evaluate its prognostic significance, and investigate clonal evolution from diagnosis to relapse in AML patients undergoing myeloablative HCT with PTCy-based graft-versus-host disease prophylaxis. STUDY DESIGN We performed targeted next-generation sequencing (NGS) at diagnosis in 191 consecutive AML patients undergoing myeloablative allogeneic HCT with PTCy-based prophylaxis. Paired diagnostic and relapse samples were available for 39 patients to evaluate clonal evolution. RESULTS A total of 610 mutations were detected in 184 patients (96%), most commonly in FLT3 (26%), DNMT3A (25%), RUNX1 (24%), and NPM1 (19%). Sixteen unique fusion genes were identified in 35 patients, with KMT2A (43%) and core binding factor rearrangements (23%) being the most frequent. TP53 and WT1 mutations were strongly associated with adverse outcomes, whereas NPM1 retained favorable significance. RUNX1 co-mutations with SF3B1 or NRAS were associated with inferior survival. In an exploratory allelic analysis, multi-hit TP53 alterations, but not single-hit mutations, were associated with distinctly poorer OS, EFS, and relapse risk. Relapse involved mutational shifts in ∼70% of cases, with significant enrichment of WT1 and more modest increases in TP53, KRAS, ASXL1, NF1, and MECOM, while DNMT3A, TET2, and ASXL1 persisted stably. Neither acute nor chronic graft-versus-host disease was associated with molecular remodeling at relapse. CONCLUSIONS This study provides a comprehensive characterization of the mutational landscape and clonal evolution of AML undergoing contemporary PTCy-based allogeneic HCT. TP53 and WT1 identify patients at particularly high risk of post-transplant relapse, whereas NPM1 retains favorable prognostic significance. The frequent acquisition of new genetic lesions at relapse underscores the dynamic nature of post-transplant clonal evolution and supports longitudinal molecular monitoring together with genomically informed post-transplant surveillance and relapse-prevention strategies.

Clonal Dynamics↗

PubMed2005

Ductal pancreatic cancer in humans and mice.

Pancreatic ductal adenocarcinoma (PDA) eludes early detection and resists current therapies, earning its distinction as the most lethal malignancy by organ site in the western world. This dire reality prompted extensive yet generally disappointing efforts to generate transgenic mouse models of this malignancy. Recently, mutant mice that develop pancreatic intraepithelial neoplasms (PanIN), the presumed preinvasive stage of PDA, were produced by conditionally expressing an endogenous oncogenic Kras allele in the developing murine pancreas. Mice with PanIN demonstrated promise in the pursuit of biomarkers of early pancreatic cancer, and, importantly, such mice eventually developed and succumbed to PDA after a long latency, establishing PanINs as true precursors to the invasive disease. Furthermore, the incorporation of conditional mutations in tumor suppressor alleles known to be altered in human PDA synergized with oncogenic Kras to produce advanced PDA with a short latency, recapitulating central pathophysiological events in human PDA. These models facilitate a variety of biological and clinical investigations such as explorations of the cellular origins of PDA and the development of treatment strategies for advanced PanIN and PDA. In addition, lessons from modeling PDA may be applicable to other tumor types and illuminate general principles of carcinogenesis.

Animals↗

PubMed2006

An imprinted locus epistatically influences Nstr1 and Nstr2 to control resistance to nerve sheath tumors in a neurofibromatosis type 1 mouse model.

Cancer is a complex disease in which cells acquire many genetic and epigenetic alterations. We have examined how three types of alterations, mutations in tumor suppressor genes, changes in an imprinted locus, and polymorphic loci, interact to affect tumor susceptibility in a mouse model of neurofibromatosis type 1 (NF1). Mutations in tumor suppressor genes such as TP53 and in oncogenes such as KRAS have major effects on tumorigenesis due to the central roles of these genes in cell proliferation and cell survival. Imprinted genes expressed from only one parental chromosome affect tumorigenesis if their monoallelic expression is lost or duplicated. Because imprinted loci are within regions deleted or amplified in cancer, the parental origin of genomic rearrangements could affect tumorigenesis. Gene polymorphisms can vary tumor incidence by affecting rate-limiting steps in tumorigenesis within tumor cells or surrounding stroma. In our mouse model of NF1, the incidence of tumors mutant for the tumor suppressor genes Nf1 and Trp53 is strongly modified by a linked imprinted locus acting epistatically on two unlinked polymorphic loci, Nstr1 and Nstr2. This interaction of an imprinted locus and polymorphic susceptibility loci has profound implications for human mapping studies where the parental contribution of alleles is often unknown.

Animals↗

PubMed1988

Characterization of mutagen-activated cellular oncogenes that confer anchorage independence to human fibroblasts and tumorigenicity to NIH 3T3 cells: sequence analysis of an enzymatically amplified mutant HRAS allele.

Treatment of diploid human fibroblasts with an alkylating mutagen has been shown to induce stable, anchorage-independent cell populations at frequencies (11 X 10(-4) consistent with an activating mutation. After treatment of human foreskin fibroblasts with the mutagen benzo[a]pyrene (+/-)anti- 7,8-dihydrodiol 9,10-epoxide and selection in soft agar, 17 anchorage-independent clones were isolated and expanded, and their cellular DNA was used to cotransfect NIH 3T3 cells along with pSV2neo. DNA from 11 of the 17 clones induced multiple NIH 3T3 cell tumors in recipient nude mice. Southern blot analyses showed the presence of human Alu repetitive sequences in all of the NIH 3T3 tumor cell DNAs. Intact, human HRAS sequences were observed in 2 of the 11 tumor groups, whereas no hybridization was detected when human KRAS or NRAS probes were used. Slow-migrating ras p21 proteins, consistent with codon 12 mutations, were observed i in the same two NIH 3T3 tumor cell groups that contained the human HRAS bands. Genomic DNA from one of these two human anchorage-independent cell populations (clone 21A) was used to enzymatically amplify a portion of exon 1 of the HRAS gene. Direct sequence analysis of the amplified DNA indicated equal presence of a wild-type (GGC) and mutant (GTC) allele of the HRAS gene. The results demonstrate that exposure of normal human cells to a common environmental mutagen yields HRAS GC----TA codon 12 transversions that have been commonly observed in human tumors. This oncogene as well as yet to be identified oncogene are also shown to stably confer anchorage-independence to human cells.

7,8-Dihydro-7,8-dihydroxybenzo(a)pyrene 9,10-oxide↗

PubMed2025

Genomic and Immune Landscape of Pancreatic Ductal Adenocarcinoma Associated with Germline Pathogenic Variants in ATM.

PURPOSE: Germline pathogenic variants (PV) in ATM increase the risk of pancreatic ductal adenocarcinoma (PDAC), but the underlying tumor biology of PDAC associated with germline PV in ATM has not been adequately explored. EXPERIMENTAL DESIGN: Whole-genome, whole-exome, and RNA sequencing were performed on PDAC tumors from 25 germline ATM PV carriers diagnosed at Mayo Clinic between 2007 and 2017. Somatic and copy-number alterations, mutational signatures, transcriptomic subtypes, and the immune landscape were evaluated. RESULTS: High-quality whole-exome and whole-genome sequencing were obtained from 21 and 15 tumors, respectively. Biallelic inactivation of ATM was observed in 87%, KRAS PV in 90%, CDKN2A homozygous loss in 60%, and TP53 alterations in <10% of these tumors. A predominant clock-like mutational signature was present in all samples. Whole-transcriptome analysis identified that the aberrantly differentiated endocrine exocrine subtype accounted for 18% of PDAC and was consistently associated with >5-year overall survival. In addition, a 28-gene expression-based signature associated with overall survival was identified and further validated in The Cancer Genome Atlas cohort. Immune landscape analysis through CODEX identified enriched CD4 T-helper cell/tumor interactions and reduced B7H3-high cell/tumor interactions in ATM PV carriers compared with noncarriers. CONCLUSIONS: The observed absence of TP53 PV and enrichment for CDKN2A alterations in ATM tumors, along with differences in the mutational signatures, transcriptomic subtypes and immune landscape, improve our understanding of the mechanistic pathways involved in PDAC development in germline ATM PV carriers and help identify potential targeted therapeutic strategies.

Humans↗

PubMed2024

Predictive modeling of gene mutations for the survival outcomes of epithelial ovarian cancer patients.

Epithelial ovarian cancer (EOC) has a low overall survival rate, largely due to frequent recurrence and acquiring resistance to platinum-based chemotherapy. EOC with homologous recombination (HR) deficiency has increased sensitivity to platinum-based chemotherapy because platinum-induced DNA damage cannot be repaired. Mutations in genes involved in the HR pathway are thought to be strongly correlated with favorable response to treatment. Patients with these mutations have better prognosis and an improved survival rate. On the other hand, mutations in non-HR genes in EOC are associated with increased chemoresistance and poorer prognosis. For this reason, accurate predictions in response to treatment and overall survival remain challenging. Thus, analyses of 360 EOC cases on NCI's The Cancer Genome Atlas (TCGA) program were conducted to identify novel gene mutation signatures that were strongly correlated with overall survival. We found that a considerable portion of EOC cases exhibited multiple and overlapping mutations in a panel of 31 genes. Using logistical regression modeling on mutational profiles and patient survival data from TCGA, we determined whether specific sets of deleterious gene mutations in EOC patients had impacts on patient survival. Our results showed that six genes that were strongly correlated with an increased survival time are BRCA1, NBN, BRIP1, RAD50, PTEN, and PMS2. In addition, our analysis shows that six genes that were strongly correlated with a decreased survival time are FANCE, FOXM1, KRAS, FANCD2, TTN, and CSMD3. Furthermore, Kaplan-Meier survival analysis of 360 patients stratified by these positive and negative gene mutation signatures corroborated that our regression model outperformed the conventional HR genes-based classification and prediction of survival outcomes. Collectively, our findings suggest that EOC exhibits unique mutation signatures beyond HR gene mutations. Our approach can identify a novel panel of gene mutations that helps improve the prediction of treatment outcomes and overall survival for EOC patients.

Humans↗

PubMed2026

Genetic mutations in metastatic adenocarcinoma of unknown primary.

INTRODUCTION: Although several genomic alterations have been reported in adenocarcinoma of unknown primary (ACUP), molecularly targeted therapies are not yet clinically established, and comprehensive genomic profiling (CGP) is rarely used in daily practice. AIM: We aimed to clarify the molecular landscape and prognostic impact of key mutations in recurrent or metastatic ACUP. MATERIALS AND METHODS: Data from 480 consecutive ACUP patients registered in Japan's National Cancer Center (C-CAT) between June 2019 and August 2025 were analyzed. Somatic mutations were identified using the FoundationOne CDx platform. Overall survival (OS) was assessed by Kaplan-Meier analysis, log-rank tests, and multivariate Cox proportional hazards modeling. RESULTS: The most frequent alterations were TP53 (59.4%), KRAS (31.5%), CDKN2A (26.3%), KMT2D (22.3%), LTK (17.9%), NOTCH3 (16.9%), STK11 (16.3%), CDKN2B (15.8%), ERBB2 (15.4%), and GNAS (15.2%). Patients harbored an average of 17.3 9.9 mutations. Mutations in GNAS (p = 0.046) and PIK3CA (p = 0.025) were associated with better OS, whereas ARID1A (p = 0.049) and NOTCH1 (p = 0.038) predicted worse OS. In Cox analysis, hazard ratios (HR [95% CI]) were 0.57 (0.36-0.92, p = 0.020) for GNAS, 0.57 (0.33-0.96, p = 0.033) for PIK3CA, 1.98 (1.27-3.09, p = 0.0024) for ARID1A, and 1.84 (1.17-2.91, p = 0.0090) for NOTCH1. CONCLUSIONS: GNAS and PIK3CA mutations were linked to favorable outcomes, while ARID1A and NOTCH1 alterations indicated poor prognosis in ACUP. These results highlight the prognostic significance of specific genomic alterations and support integrating CGP into the clinical management of ACUP.

Humans↗

PubMed2025

Genomic profiling of aggressive pathologic features in lung adenocarcinoma.

INTRODUCTION: Pathologic features involving LVI (lympho-vascular invasion), PNI (perineural invasion), STAS (spread through air spaces), and Grade 3 pattern (from the International Association for the Study of Lung Cancer grading system) are related to having an aggressive phenotype and linked to poor prognosis. However, few studies have conducted in-depth analyses of these features simultaneously with genomic profiling. METHODS: A total of 1559 sequencing of adenocarcinoma samples were included in the common driver mutations analysis, 1306 samples were brought into genomic mapping analysis. OncoSG's East Asian ancestry dataset was implemented for Tumor-Node-Metastasis-Biomarker (TNMB) classification and prognostic assessment. RESULTS: EGFR was more significantly prevalent in LVI negativity (P = 0.021), STAS negativity (P = 0.002), and moderate grade (P < 0.001). ALK was significantly interrelated with LVI (P = 0.028), STAS (P < 0.001), and poor grade (P < 0.001); ROS1 and STAS positivity (P = 0.031), poor grade (P = 0.016) were significantly related. KRAS (P = 0.003) and BRAF-V600E (P = 0.002) were only significantly intertwined with poor grade. Apart from common driver mutations, TP53, CHEK2, KEAP1, PTEN, RB1, NF1 were significantly enriched in LVI samples (P < 0.05). TP53, PTEN, CTNNB1, HGF, NF1 were more prominent in STAS (P < 0.01). TP53, LRP1B, NF1 were significantly more prevalent in Grade 3 pattern (P < 0.001). The mixture of STK11, PTEN, and TOP2A generated by exclusive mutations may be a potential predictor of TNMB categorization towards survival. The HR of stage II compared I of TNMB was 2.28 (95 % CI 1.36-3.86, P < 0.001), while stage III compared II was 1.95 (95 % CI 1.04-3.21, P = 0.031). CONCLUSIONS: This analysis demonstrated the correlation of pathologic features with common driver mutations, key mutations and canonical oncogenic signaling pathways. The data highlighted the similarities and differences among these features horizontally, and provide new insights in TNMB classification and prognostic assessment.

Humans↗

PubMed2026

A Functionally Constrained Immune Ecosystem in Microsatellite-stable Colorectal Cancer Resolved by Single-cell and Exome Profiling.

BACKGROUND/AIM: Microsatellite-stable (MSS) colorectal cancer (CRC) generally responds poorly to immune checkpoint blockade, but some MSS tumors are T-cell rich. We examined whether such infiltration reflected effective immunity or functional immune constraint. CASE REPORT: A 77-year-old woman underwent resection of a mismatch repair-proficient (pMMR), MSS, low-mutational-burden CRC with a synchronous adenoma. Whole-exome sequencing of tumor, adenoma and adjacent normal tissue detected no shared high-confidence somatic mutations between tumor and adenoma within the sensitivity of this WES analysis and identified tumor-specific APC, KRAS and TP53 alterations. Tumor single-cell RNA sequencing yielded 7,569 cells, with T-lineage populations comprising 83.5%. Cytotoxic T cells showed cytolytic and dysfunction-associated features, regulatory T cells (Tregs) showed suppressive remodeling, and Th17 cells showed inflammatory/profibrotic programs. CellChat nominated stromal MIF/FN1-CD74/CD44 and extracellular-matrix communication with T-cell compartments. CONCLUSION: This molecular case report shows that T-cell abundance and immune effectiveness can be uncoupled in MSS CRC.

Humans↗

PubMed2006

K-RasG12D expression induces hyperproliferation and aberrant signaling in primary hematopoietic stem/progenitor cells.

Defining how cancer-associated mutations perturb signaling networks in stem/progenitor populations that are integral to tumor formation and maintenance is a fundamental problem with biologic and clinical implications. Point mutations in RAS genes contribute to many cancers, including myeloid malignancies. We investigated the effects of an oncogenic Kras(G12D) allele on phosphorylated signaling molecules in primary c-kit(+) lin(-/low) hematopoietic stem/progenitor cells. Comparison of wild-type and Kras(G12D) c-kit(+) lin(-/low) cells shows that K-Ras(G12D) expression causes hyperproliferation in vivo and results in abnormal levels of phosphorylated STAT5, ERK, and S6 under basal and stimulated conditions. Whereas Kras(G12D) cells demonstrate hyperactive signaling after exposure to granulocyte-macrophage colony-stimulating factor, we unexpectedly observe a paradoxical attenuation of ERK and S6 phosphorylation in response to stem cell factor. These studies provide direct biochemical evidence that cancer stem/progenitor cells remodel signaling networks in response to oncogenic stress and demonstrate that multi-parameter flow cytometry can be used to monitor the effects of targeted therapeutics in vivo. This strategy has broad implications for defining the architecture of signaling networks in primary cancer cells and for implementing stem cell-targeted interventions.

Animals↗

PubMed2006

Aggressive pancreatic ductal adenocarcinoma in mice caused by pancreas-specific blockade of transforming growth factor-beta signaling in cooperation with active Kras expression.

Pancreatic ductal adenocarcinoma (PDAC) is an almost uniformly lethal disease in humans. Transforming growth factor-beta (TGF-beta) signaling plays an important role in PDAC progression, as indicated by the fact that Smad4, which encodes a central signal mediator downstream from TGF-beta, is deleted or mutated in 55% and the type II TGF-beta receptor (Tgfbr2) gene is altered in a smaller subset of human PDAC. Pancreas-specific Tgfbr2 knockout mice have been generated, alone or in the context of active Kras (Kras(G12D)) expression, using the Cre-loxP system driven by the endogenous Ptf1a (pancreatic transcription factor-1a) locus. Pancreas-selective Tgfbr2 knockout alone gave no discernable phenotype in 1.5 yr. Pancreas-specific Kras(G12D) activation alone essentially generated only intraepithelial neoplasia within 1 yr. In contrast, the Tgfbr2 knockout combined with Kras(G12D) expression developed well-differentiated PDAC with 100% penetrance and a median survival of 59 d. Heterozygous deletion of Tgfbr2 with Kras(G12D) expression also developed PDAC, which indicated a haploinsufficiency of TGF-beta signaling in this genetic context. The clinical and histopathological manifestations of the combined Kras(G12D) expression and Tgfbr2 knockout mice recapitulated human PDAC. The data show that blockade of TGF-beta signaling and activated Ras signaling cooperate to promote PDAC progression.

Adenocarcinoma↗

PubMed1995

Emergent issues in the genetics of intestinal neoplasia.

Mutation of the APC gene may be a common denominator of all human colon cancer--polypoid and non-polypoid familial cancer as well as sporadic occurrences. Fearon and Vogelstein (1990) have described a series of molecular changes during the progression of human colon cancer, beginning with mutations in APC. Min is a strain of the laboratory mouse carrying a nonsense mutation in Apc, the mouse homologue of APC. The Min strain has been used to test the effect of germline alterations in certain genes identified in the progression pathway of Fearon and Vogelstein. A deficiency in DNA cytosine methylase leads to a reduction in the tumour multiplicity of Min mice contrary to the a priori expectation based on the global hypomethylation of the DNA of early colonic neoplasms. Alterations in Kras had no perceptible effect on the tumour multiplicity of Min mice but may not have been successfully directed to the proliferative cell population. Constitutional mutation of p53 did not influence the multiplicity or histopathology of early Min induced intestinal tumours. The cause and effect analysis of the genetics of colon cancer is clearly in an early phase. An unlinked genetic factor interacting with Min in controlling intestinal tumour multiplicity is Mom1. A central goal for the near future is to identify the Mom1 gene product and to identify other loci that can interact with the Min mutation and affect tumour multiplicity or progression. Mouse chimaeras will permit an analysis of the clonality and cell autonomy of Min induced neoplasms and also of the action of Mom1. The results of these analyses will inform investigators as to what modes of prevention and therapy might be designed for particular tumour types. The Min strain thereby presents an opportunity to discover protective factors against human colon cancer.

Adenomatous Polyposis Coli↗

PubMed2026

Quantifying uncertainty of predictions from cancer progression models.

MOTIVATION: Cancer progresses through the accumulation of genomic events. Cancer progression models such as Mutual Hazard Networks (MHNs) describe this dynamic, enabling prediction of temporal event positions and patient-specific risks of acquiring mutations. However, current MHN analyses rely on single most likely models and do not quantify the uncertainty inherent to parameter estimation. Assessing forecast stability is essential before using them to anticipate treatment-relevant mutations, adapt targeted therapies, or prioritize monitoring of patients at elevated progression risk. RESULTS: We address a key prerequisite for the responsible clinical use of cancer progression models by making MHN-derived predictions uncertainty-aware. We present a Bayesian framework for MHN that uses Markov Chain Monte Carlo to sample from the posterior distributions of model parameters and derived predictions. For practical use we implemented the Random-Walk Metropolis, Metropolis-Adjusted Langevin Algorithm (MALA), and simplified manifold MALA samplers as part of the existing mhn Python package. Only MALA and smMALA were successful in sampling from MHN posteriors, with MALA performing best. While most MHN parameters and predictions showed low posterior variance, a small subset displayed greater variability across the posterior distribution. This differentiation cannot be obtained from a single most likely model, emphasizing the need for uncertainty quantification, especially in clinical contexts. As an illustrative example, posterior sampling identified a subgroup of STK11$-$, KRAS$+$ lung adenocarcinoma patients with a high predicted short-term risk-with low variance across posterior samples-to develop an STK11 mutation. This subgroup exhibited poorer survival under immunotherapy, resembling patterns observed in STK11+ patients. AVAILABILITY AND IMPLEMENTATION: Our implementation is part of version 1.2.0 of the mhn package (https://github.com/spang-lab/LearnMHN). All analyses including the code to produce all figures in this article can be found under https://github.com/huy29433/MCMC-sampling-for-MHN (https://doi.org/10.5281/zenodo.21160219).

Humans↗

PubMed1990

Nontumorigenic squamous cell carcinoma line converted to tumorigenicity with methyl methanesulfonate without activation of HRAS or MYC.

Plasticity of human tumor populations could account for the reason why many tumorigenic human cell lines lose this feature when grown in culture. Methyl methanesulfonate (MMS) was used to convert premalignant squamous cell carcinoma (SCC) cell line SCC-83-01-82 to a malignant phenotype. The MMS-treated SCC-83-01-82 cells (MMS-SCC-83-01-82) produced progressively growing tumors in 5 of 11 splenectomized BALB/c nude mice within 3-5 months. A cell line, designated SCC-83-01-82 CA, was established in vitro from one of the mouse tumors and was repassaged successively. This SCC-83-01-82 CA cell line was aggressively tumorigenic. A tumor greater than or equal to 2.0 cm in size was present within a month, as opposed to the 3-5 months required for the tumors produced by the MMS-SCC-83-01-82 cells. Examination of frozen cross sections by in situ hybridization revealed that focal areas of the tumor produced by the MMS-SCC-83-01-82 cells expressed MYC and HRAS mRNA. However, by the third passage in vivo, the levels of expression of the corresponding genes in the mouse tumors were undetectable. Blot-hybridization analysis of the RNA from the MMS-SCC-83-01-82 cells and the subsequently derived tumors and cells did not indicate any consistent overexpression of MYC, HRAS, or KRAS. Restriction fragment length polymorphism analysis of both MYC and HRAS genes revealed neither rearrangement nor amplification of MYC nor point mutation in the 11th or 12th codon of HRAS. The data suggest that alterations in MYC and HRAS were not directly involved in either the initial transformation or MMS-induced tumorigenic conversion of the SCC-83-01-82 cell line. Persistence of tumorigenicity after reisolation of the MMS-converted premalignant SCC-83-01-82 cells did not disappear immediately following the treatment with MMS.

Animals↗

PubMed2006

Molecular pathogenesis of pancreatic cancer.

Pancreatic cancer is fundamentally a disease of inherited and acquired mutations in cancer-related genes. The genes targeted in pancreatic cancer include tumor-suppressor genes (p16/CDKN2A, TP53 and SMAD4), oncogenes (KRAS, BRAF, AKT2, MYB, and AIB1), and genome-maintenance genes (MLH1, MSH2, BRAC2 and other Fanconi anemia genes). An understanding of the cancer-related genes that are altered in pancreatic cancer has a number of clinical applications including genetic counseling for individuals with a family history of cancer, early detection of pancreatic neoplasia, and mechanism-based therapies for patients with advanced disease. This chapter will provide an overview of the molecular pathogenesis of pancreatic cancer with emphasis on clinical applications.

Carcinoma in Situ↗