Stages Of Tumor Evolution Research Articles

Abstract IA-01: Targeting autophagy in pancreatic cancer

Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most vexing problems in cancer with 5-year overall survival rates of 13%, thus there is a need for new therapeutic targets. PDAC have a distinct dependence on autophagy, a conserved eukaryotic catabolic pathway that serves to degrade proteins, other macromolecules, and organelles via the lysosome as part of a recycling process to maintain cellular homeostasis during basal and stress conditions. The unique importance of autophagy in PDAC suggests that there may be a subset of proteins that are specifically targeted by autophagy for degradation, which would promote proliferation and survival, and that these may represent new targets for therapy. Using a quantitative PDAC cellular autophagosomal proteomics approach, we identified NCOA4 as the autophagy receptor for ferritin, the cellular iron storage complex, and demonstrated that ferritin autophagy (ferritinophagy) is a highly regulated process and plays a central role in the larger context of cellular and organismal iron homeostasis. Given the reliance of PDAC, on both high levels of autophagy as well as iron, we studied the role of NCOA4 and ferritinophagy in PDAC thereby identifying NCOA4-mediated ferritinophagy and more broadly lysosomal iron metabolism as a PDAC dependency and therapeutic target. We recently determined the cryo-EM structure of the NCOA4-Ferritin complex for future drug design. To identify the role of autophagy and the lysosome in PDAC metastatic progression, we co-developed an in vivo capable lysosomal enrichment that enables capture and proteomic profiling of lysosomes at different stages of tumor evolution, including early stage, late stage, and metastatic disease. Employing this strategy, we successfully captured lysosomal proteins from primary tumors (pancreas), as well as lung and liver metastases. Our preliminary analysis revealed an enrichment of resident lysosomal membrane and luminal proteins in the datasets, confirming successful isolation of intact lysosomes from these complex tissues. Additionally, we identified non-resident lysosomal proteins (termed cargo) that are enriched and co-evolve with advancing tumor stages. Notably, our results reveal distinct differences in the lysosomal proteome of tumor cells across different tissues. These findings emphasize the critical role of lysosomal function in tumor progression and suggest that targeting lysosomal components could be a promising therapeutic strategy for treating metastatic PDAC. Finally, given the challenging pharmacokinetic and pharmacodynamic properties and limited clinical efficacy of hydroxychloroquine as an autophagy/lysosomal inhibition strategy, we are now exploring novel autophagy inhibition strategies in PDAC to effectively target this pathway for clinical benefit. Citation Format: Joseph D. Mancias. Targeting autophagy in pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr IA-01.

Abstract B052: Defining the lysosome proteome during tumor evolution

Abstract Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with a 5-year survival rate of 12%. PDAC tumors are highly reliant on nutrient scavenging pathways such as autophagy, and the lysosome – a degradative organelle which plays an essential role in the digestion and recycling of diverse cellular material. Lysosome and autophagy processes are regulated by the MiT/TFE family of transcription factors. In PDAC, MiT/TFE are uncoupled from normal regulatory mechanisms and have been shown to be constitutively nuclear, and therefore active. The function of lysosomes and the status of MiT/TFE over the course of tumor evolution and metastasis remains unknown. To fully understand the functions of the lysosome in cancer, our lab uses biochemical approaches to isolate intact lysosomes (termed LysoIP) from cultured PDAC cells, followed by mass spectrometry-based proteomics. Using this strategy, we have uncovered unique features and functions of PDAC lysosomes that promote cellular adaptation to stress in support of tumor growth. A limitation of lysosome isolation from 2D cultured cells is that it does not recapitulate lysosomal features associated with tumors growing in vivo. To address this limitation, we generated a genetically engineered mouse model of PDAC incorporating conditional expression of our ‘LysoTag’ (TMEM192-mRFP-3xHA) that enables capture and profiling of lysosomes at different stages of tumor evolution, including early stage, late stage, and metastatic disease. I have now established purification protocols for isolation of intact lysosomes with high efficiency and purity from both normal pancreas and diseased tissue. My preliminary analysis of pancreatic tumors, liver and lung metastases shows enrichment of bonafide resident lysosomal membrane proteins (Lamp1, Cln3, Npc1), and lumenal proteins (Ctsb, Lipa, Neu1), confirming successful isolation of intact lysosomes from these complex tissues. Further analysis highlights pathways and proteins that are unique to lysosomes of each tissue. For instance, lysosomes from the primary tumor show enrichment for pathways involved in ‘antigen processing and presentation of peptide antigen’ and ‘cellular response to oxidative stress’, while the liver and lung metastasis lysosomes show enrichment for ‘cholesterol metabolism’ and ‘mitochondrial gene expression’, respectively. Our analysis of lysosomes from the primary tumor, lung and liver metastasis highlights unique differences in the lysosome proteome of tumor cells growing in different tissues. Functional validation of our proteomics datasets will be needed to uncover novel roles for lysosomes in helping tumor cells adapt and grow in distinct tumor microenvironments. My ongoing studies will provide the first comprehensive atlas of lysosomal cargo and resident proteins that co-evolve with increasing tumor stage and help to inform novel therapeutic targets for treatment of PDAC. Citation Format: Grace A. Hernandez, Thuy Nguyen, Matthew Luy, Alexander Li, Longhui Qiu, Joseph D. Mancias, Rushika M. Perera. Defining the lysosome proteome during tumor evolution [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B052.

A clinically annotated post-mortem approach to study multi-organ somatic mutational clonality in normal tissues

Recent research on normal human tissues identified omnipresent clones of cells, driven by somatic mutations known to be responsible for carcinogenesis (e.g., in TP53 or NOTCH1). These new insights are fundamentally changing current tumor evolution models, with broad oncological implications. Most studies are based on surgical remnant tissues, which are not available for many organs and rarely in a pan-organ setting (multiple organs from the same individual). Here, we describe an approach based on clinically annotated post-mortem tissues, derived from whole-body donors that are routinely used for educational purposes at human anatomy units. We validated this post-mortem approach using UV-exposed and unexposed epidermal skin tissues and confirm the presence of positively selected NOTCH1/2-, TP53- and FAT1-driven clones. No selection signals were detected in a set of immune genes or housekeeping genes. Additionally, we provide the first evidence for smoking-induced clonal changes in oral epithelia, likely underlying the origin of head and neck carcinogenesis. In conclusion, the whole-body donor-based approach provides a nearly unlimited healthy tissue resource to study mutational clonality and gain fundamental mutagenic insights in the presumed earliest stages of tumor evolution.

Genomic landscape and clonal evolution between adenocarcinoma and squamous components in adenosquamous carcinoma of the pancreas.

e16265 Background: Adenosquamous carcinoma of the pancreas (ASCP) is a rare histological subtype of pancreatic cancer with high metastasis rate and poor prognosis, which is characterized by a variable proportion of adenocarcinoma and squamous carcinoma components with at least 30% of the tumor showing squamous differentiation. To get further insight into the tumorigenesis and progression, we profiled the genetic characterization and explored the evolutionary model of this subtype. Methods: A total of 10 patients with ASCP were enrolled. For each sample, glandular and squamous carcinoma tissues were separated by microdissection. Whole exome sequencing for 20 samples with matched peri-carcinomatous tissues were performed by next-generation sequencing. Results: Genetic profiling revealed that top 5 mutated genes of adenocarcinoma and squamous components were highly consistent including TP53 (100% vs 100%), KRAS (100% vs 90%), CDKN2A (40% vs 40%), KDM6A (20% vs 20%) and LRP1B (20% vs 20%). KEGG pathway analysis showed that PI3K-Akt, MAPK and FoxO signaling pathways were the most frequently mutated pathways in adenocarcinoma. In contrast, Apelin and Rap1 signaling pathways were highly mutated in squamous components, advocating that these pathways may play important roles in the transformation of squamous carcinomas. A higher proportion of indels were identified in adenocarcinoma than squamous components (12.1% vs 3%). The chromosome regions of 3p21.3, 9p21.3, 11p15.5, 16p13.11 and 21q22.3 were the most commonly deleted regions in the adenocarcinoma components, while losses of 1p36.21, 3p25.3, 3q13.13, 6p22.3 and 11p15.5 had been observed in the squamous components. Some of these regions had important effects on development and progression of cancer. For example, 9p21.3 had well-established impact on cell proliferation and apoptosis containing two crucial tumor suppressor genes, CDKN2A and CDKN2B. Additionally, the C > T mutation was predominant among the 6 types of single nucleotide variations. Most common signatures were related to aging (Single base substitutions, SBS1), BRCA1/2 mutations and responders to platinum therapy (SBS3), and defective DNA mismatch repair (SBS6). Tumor evolution analysis showed that the glandular and squamous components shared a common origin. There were two evolutionary scenarios in the early stages of tumor evolution, with a third of nine patients ware parallel evolution and the remaining patients were linear evolution. KRAS (100%), TP53 (66.7%) and TTN (33.3%) were frequently identified as clonal mutations. Conclusions: This is the first study to elucidate the genomic alteration as well as the clonal evolution using whole-exome sequencing in ASCP patients. It provides evidence for more comprehensive understanding of pathophysiology of ASCP at genomic level, which could contribute to the amelioration for ASCP patients’ management.

Tumor-associated macrophage heterogeneity is driven by tissue territories in breast cancer.

Tissue-resident macrophages adapt to local signals within tissues to acquire specific functions. Neoplasia transforms the tissue, raising the question as to how the environmental perturbations contribute to tumor-associated macrophage (TAM) identity and functions. Combining single-cell RNA sequencing (scRNA-seq) with spatial localization of distinct TAM subsets by imaging, we discover that TAM transcriptomic programs follow two main differentiation paths according to their localization in the stroma or in the neoplastic epithelium of the mammary duct. Furthermore, this diversity is exclusively detected in a spontaneous tumor model and tracks the different tissue territories as well as the type of tumor lesion. These TAM subsets harbor distinct capacity to activate CD8+ Tcells and phagocyte tumor cells, supporting that specific tumor regions, rather than defined activation states, are the major drivers of TAM plasticity and heterogeneity. The distinctions created here provide a framework to design cancer treatment targeting specific TAM niches.

Abstract P5-07-07: Mapping clonal evolution and tumor heterogeneity by whole exome sequencing of tissue and plasma circulating tumor DNA in metastatic breast cancer

Abstract Tumor heterogeneity in breast cancer tumors is widely recognized but evolution of the breast cancer genome is complex and not yet understood. Characterizing the evolutionary landscape of breast tumors can provide biological understanding of tumor progression and metastasis may be important for directing effective treatments. We performed copy number profiling and mutation detection based on whole exome sequencing of primary tumors, lymph node and distant metastasis as well as on plasma circulating tumor DNA from twelve metastatic breast cancer patients. Preliminary data shows diverse patterns of tumor evolution. Although linear evolution with late dissemination of metastatic cells was common, parallel evolution with early dissemination from primary tumor to distant sites was evident in some cases. Comparing tissue biopsies with plasma samples, we could detect variants mirroring primary tumor and/or metastasis, depending on the time span between the progression steps. The genomic discordance between the different stages of tumor evolution in these patients not only emphasizes the importance of molecular profiling of metastatic tissue but also the possibilities of liquid biopsies for real-time tracking of tumor clonal evolution. Citation Format: Stephanie Kavan, Torben A Kruse, Lars Andersen, Martin Larsen, Malene G Hildebrandt, Anne-Marie Bak Jylling, Marianne Ewertz, Marianne Vogsen, Mads Thomassen. Mapping clonal evolution and tumor heterogeneity by whole exome sequencing of tissue and plasma circulating tumor DNA in metastatic breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-07-07.

Quantification of the Selective Advantage of Driver Mutations Is Dependent on the Underlying Model and Stage of Tumor Evolution.

Measuring the selective fitness advantages provided by driver mutations has the potential to facilitate a precise quantitative understanding of cancer evolution. However, accurately measuring the selective advantage of driver mutations has remained a challenge in the field. Early studies reported small selective advantages of drivers, on the order of 1%, whereas newer studies report much larger selective advantages, as high as 1,200%. In this article, we argue that the calculated selective advantages of cancer drivers are dependent on the underlying mathematical model and stage of cancer evolution and that comparisons of numerical values of selective advantage without regard for the underlying model and stage can lead to spurious conclusions.

Tissue architecture delineates field cancerization in BRAFV600E-induced tumor development.

ABSTRACTCancer cells hijack developmental growth mechanisms but whether tissue morphogenesis and architecture modify tumorigenesis is unknown. Here, we characterized a new mouse model of sporadic thyroid carcinogenesis based on inducible expression of BRAF carrying a Val600 Glu (V600E) point mutation (BRAFV600E) from the thyroglobulin promoter (TgCreERT2). Spontaneous activation of this Braf-mutant allele due to leaky activity of the Cre recombinase revealed that intrinsic properties of thyroid follicles determined BRAF-mutant cell fate. Papillary thyroid carcinomas developed multicentrically within a normal microenvironment. Each tumor originated from a single follicle that provided a confined space for growth of a distinct tumor phenotype. Lineage tracing revealed oligoclonal tumor development in infancy and early selection of BRAFV600E kinase inhibitor-resistant clones. Somatic mutations were few, non-recurrent and limited to advanced tumors. Female mice developed larger tumors than males, reproducing the gender difference of human thyroid cancer. These data indicate that BRAFV600E-induced tumorigenesis is spatiotemporally regulated depending on the maturity and heterogeneity of follicles. Moreover, thyroid tissue organization seems to determine whether a BRAF-mutant lineage becomes a cancerized lineage. The TgCreERT2;BrafCA/+ sporadic thyroid cancer mouse model provides a new tool to evaluate drug therapy at different stages of tumor evolution.

A Time-Course Comparison of Skeletal Muscle Metabolomic Alterations in Walker-256 Tumour-Bearing Rats at Different Stages of Life.

Cancer cachexia is a severe wasting condition that needs further study to find ways to minimise the effects of damage and poor prognosis. Skeletal muscle is the most impacted tissue in cancer cachexia; thus, elucidation of its metabolic alterations could provide a direct clue for biomarker research and be applied to detect this syndrome earlier. In addition, concerning the significant changes in the host metabolism across life, this study aimed to compare the metabolic muscle changes in cachectic tumour-bearing hosts at different ages. We performed 1H-NMR metabolomics in the gastrocnemius muscle in weanling and young adult Walker-256 tumour-bearing rats at different stages of tumour evolution (initial, intermediate, and advanced). Among the 49 metabolites identified, 24 were significantly affected throughout tumour evolution and 21 were significantly affected regarding animal age. The altered metabolites were mainly related to increased amino acid levels and changed energetic metabolism in the skeletal muscle, suggesting an expressive catabolic process and diverted energy production, especially in advanced tumour stages in both groups. Moreover, these changes were more severe in weanling hosts throughout tumour evolution, suggesting the distinct impact of cancer cachexia regarding the host’s age, highlighting the need to adopting the right animal age when studying cancer cachexia.

Abstract PO-120: MYC drives temporal evolution of small cell lung cancer subtypes by reprogramming neuroendocrine fate

Abstract Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine tumor that is treated clinically as a single disease with poor outcomes. However, SCLC is recently recognized to comprise multiple molecular subsets with unique therapeutic vulnerabilities. Four distinct subtypes of SCLC have been defined based on expression of lineage-related transcription factors: ASCL1, NEUROD1, POU2F3 or YAP1. The origins of these subtypes remain unknown. We use mouse and human SCLC models with a time-series analysis of single-cell transcriptome profiling to reveal that the oncogene MYC drives the dynamic evolution of SCLC subtypes by activation of Notch signaling. MYC cooperates with Notch signaling to promote a temporal shift from an ASCL1-to-NEUROD1-to-YAP1-positive state from a neuroendocrine cell of origin, whereas MYC promotes POU2F3+ tumors from a distinct cell type. SCLC molecular subtypes are therefore not distinct, but rather represent dynamic stages of MYC-driven tumor evolution. Treatment-naive human SCLC exhibits intratumoral heterogeneity in SCLC subtypes, suggesting this dynamic evolution occurs in patient tumors. These findings demonstrate that genetics, cell of origin, and tumor cell plasticity determine SCLC subtype. Given the reported unique therapeutic vulnerabilities of each subtype, we postulate that SCLC tumors represent a “moving therapeutic target” that may require more general, combinatorial, or plasticity-directed therapeutic approaches to combat this transcriptional flexibility. We anticipate that molecular subsets of other cancer types may also represent dynamic stages of tumor evolution. Citation Format: Abbie S. Ireland, Alexi M. Micinski, David W. Kastner, Bingqian Guo, Sarah J. Wait, Kyle B. Spainhower, Christopher C. Conley, Opal S. Chen, Matthew R. Guthrie, Danny Soltero, Yi Qiao, Xiaomeng Huang, Szabolcs Tarapcsak, Siddhartha Devarakonda, Milind D. Chalishazar, Jason Gertz, Justin C. Moser, Gabor Marth, Sonam Puri, Benjamin L. Witt, Benjamin T. Spike, Trudy G. Oliver. MYC drives temporal evolution of small cell lung cancer subtypes by reprogramming neuroendocrine fate [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-120.

Abstract PO-018: Single cell whole genome sequencing reveals the dynamics of copy number instability at the earliest stages of cancer evolution

Abstract Background: Cancer evolution occurs though a Darwinian process of natural selection. Selective sweeps occur in most human tumours which obscure early, unsuccessful lineages. In addition, analysis of bulk samples has limited phylogenies to SNVs and Indels, due to methodological difficulties in bulk clonal deconvolution of copy number aberrations (CNAs). Using single cell whole genome sequencing we construct phylogenies of CNAs for murine models of the early stages in lung adenocarcinoma evolution and define features of unsuccessful lineages not yet obscured by full selective sweeps. Methods: Non-invasive tumour tissue was homogenised from EGFRL858R and EGFRL858R/TP53 knock out (KO) mice and subject to 0.1X single cell WGS. Bowtie and AnneuFinder were used to align FASTQ files and call CNAs respectively. A strict quality control step was step applied using read depth and coverage variability, removing 15% of cells. MEDDIC was used to construct phylogenetic trees and ancestral CN states at each node. These ancestral CN states were translated into distinct CN events in the evolutionary history of each tumour. Results: We reconstructed tumour CNA phylogenies using scWGS to determine phylogenetic relationships and time CN events. CNAs in these data were far more heterogenous than in previously published human studies. We noted small populations of progenitor cells which branched off early in evolutionary time, containing far fewer copy number aberrations and which were not genome doubled. These populations allow us to more accurately time CN events such as would be obscured after a full selective sweep. Whole chromosomal events were significantly more likely to occur earlier in evolutionary history than intra-chromosomal events (Wilcoxon test, P < 1e-16, OR = 2.24) and chromosomal gains were also significantly more common at the earlier stages of tumour evolution (Wilcoxon test, P < 1e-16, OR = 1.44). Within whole chromosomal events, gains were significantly more enriched for early timing (Wilcoxon test, P < 1e-16, OR = 7.11). Progenitor cell populations also contained a small number of additional events, which were usually unique to a single cell. We reasoned these events may represent evolutionary dead ends. We found these events were highly enriched for losses in TP53 wild type tumours (Wilcoxon test, P < 1e-16, OR = 11.9) but much less so in TP53 mutant tumours (Wilcoxon test, P = 1e-6, OR = 1.14) suggesting early negative selection against loss of heterozygosity, particularly when TP53 is intact. Discussion: The observed depletion of intrachromosomal events may be caused by a more intact DNA damage response system which is therefore less permissive to chromosomal breaks. Heterozygous losses may be negatively selected due to resultant decreased dosage of a large numbers of genes, upon which the cells become less reliant as cancer progresses. These data are consistent with a recent report of spontaneous CNAs in culture of normal hTERT lines which have a strong preference for gains in a TP53 WT context but not upon TP53 KO. Citation Format: Alexander M. Frankell, Sebastian Hobor, Maise Al-bakir, Eva Grönroos, Charles Swanton. Single cell whole genome sequencing reveals the dynamics of copy number instability at the earliest stages of cancer evolution [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-018.

Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma.

Multiple studies have identified transcriptome subtypes of high-grade serous ovarian carcinoma (HGSOC), but their interpretation and translation are complicated by tumor evolution and polyclonality accompanied by extensive accumulation of somatic aberrations, varying cell type admixtures, and different tissues of origin. In this study, we examined the chronology of HGSOC subtype evolution in the context of these factors using a novel integrative analysis of absolute copy-number analysis and gene expression in The Cancer Genome Atlas complemented by single-cell analysis of six independent tumors. Tumor purity, ploidy, and subclonality were reliably inferred from different genomic platforms, and these characteristics displayed marked differences between subtypes. Genomic lesions associated with HGSOC subtypes tended to be subclonal, implying subtype divergence at later stages of tumor evolution. Subclonality of recurrent HGSOC alterations was evident for proliferative tumors, characterized by extreme genomic instability, absence of immune infiltration, and greater patient age. In contrast, differentiated tumors were characterized by largely intact genome integrity, high immune infiltration, and younger patient age. Single-cell sequencing of 42,000 tumor cells revealed widespread heterogeneity in tumor cell type composition that drove bulk subtypes but demonstrated a lack of intrinsic subtypes among tumor epithelial cells. Our findings prompt the dismissal of discrete transcriptome subtypes for HGSOC and replacement by a more realistic model of continuous tumor development that includes mixtures of subclones, accumulation of somatic aberrations, infiltration of immune and stromal cells in proportions correlated with tumor stage and tissue of origin, and evolution between properties previously associated with discrete subtypes. SIGNIFICANCE: This study infers whether transcriptome-based groupings of tumors differentiate early in carcinogenesis and are, therefore, appropriate targets for therapy and demonstrates that this is not the case for HGSOC.

Delineating the evolutionary dynamics of cancer from theory to reality.

Uncovering and quantifying the laws of the evolutionary dynamics of cancer, in particular in the context of specific genetic lesions and in individual patients, has the potential to revolutionize precision oncology. Recent technological advances in the study of human cancer have increased access to in vivo human data and have thereby facilitated the confirmation or refutation of existing theoretical models. In this Perspective, we discuss recent work at the intersection of quantitative mathematical models of cancer evolution and patient data that provides insights into different stages of tumor evolution, including premalignant and malignant progression and response to therapy.

1H-NMR Based Serum Metabolomics Identifies Different Profile between Sarcopenia and Cancer Cachexia in Ageing Walker 256 Tumour-Bearing Rats.

Sarcopenia among the older population has been growing over the last few years. In addition, the incidence of cancers increases with age and, consequently, the development of cachexia related cancer. Therefore, the elucidation of the metabolic derangements of sarcopenia and cachexia are important to improve the survival and life quality of cancer patients. We performed the 1H-NMR based serum metabolomics in adult (A) and ageing (S) Walker 256 tumour-bearing rats in different stages of tumour evolution, namely intermediated (Wi) and advanced (Wa). Among 52 serum metabolites that were identified, 21 were significantly increased in S and 14 and 19 decreased in the Wi and Wa groups, respectively. The most impacted pathways by this metabolic alteration were related by amino acid biosynthesis and metabolism, with an upregulation in S group and downregulation in Wi and Wa groups. Taken together, our results suggest that the increase in metabolic profile in ageing rats is associated with the higher muscle protein degradation that releases several metabolites, especially amino acids into the serum. On the other hand, we hypothesise that the majority of metabolites released by muscle catabolism are used by tumours to sustain rapid cell proliferation and tumorigenesis.

Somatic evolutionary timings of driver mutations

BackgroundA unified analysis of DNA sequences from hundreds of tumors concluded that the driver mutations primarily occur in the earliest stages of cancer formation, with relatively few driver mutation events detected in the late-arising subclones. However, emerging evidence from the sequencing of multiple tumors and tumor regions per individual suggests that late-arising subclones with additional driver mutations are underestimated in single-sample analyses.MethodsTo test whether driver mutations generally map to early tumor development, we examined multi-regional tumor sequencing data from 101 individuals reported in 11 published studies. Following previous studies, we annotated mutations as early-arising when all tumors/regions had those mutations (ubiquitous). We then inferred the fraction of mutations occurring early and compared it with late-arising mutations that were found in only single tumors/regions.ResultsWhile a large fraction of driver mutations in tumors occurred relatively early in cancers, later driver mutations occurred at least as frequently as the early drivers in a substantial number of patients. This result was robust to many different approaches to annotate driver mutations. The relative frequency of early and late driver mutations varied among patients of the same cancer type and in different cancer types. We found that previous reports of the preponderance of early driver mutations were primarily informed by analysis of single tumor variant allele profiles, with which it is challenging to clearly distinguish between early and late drivers.ConclusionsThe origin and preponderance of new driver mutations are not limited to early stages of tumor evolution, with different tumors and regions showing distinct driver mutations and, consequently, distinct characteristics. Therefore, tumors with extensive intratumor heterogeneity appear to have many newly acquired drivers.

Abstract 5743: Characterization of mitochondrial DNA mutations and tumor evolution in ulcerative colitis-associated colorectal cancer

Abstract The role of mitochondrial DNA (mtDNA) mutations in cancer is highly controversial. While specific mtDNA mutations have been associated with certain cancers, it has been recently reported that mtDNA mutations are negatively selected in most tumors. We aimed to clarify the role of mtDNA mutations in cancer progression by: 1) capitalizing on the multi-step sequence of tumorigenesis in ulcerative colitis (UC), a premalignant disease ideal for the study of tumor progression, and 2) employing a highly accurate, ultra-deep sequencing method to fully characterize the mtDNA mutational profile at different stages of tumor evolution. UC is an inflammatory bowel disease characterized by chronic colonic inflammation that increases the risk of colorectal cancer (CRC). UC CRC evolves through a stepwise process that involves the accumulation of molecular alterations in otherwise histologically normal epithelium, low-grade dysplasia (LGD), high-grade dysplasia (HGD), and cancer. Our lab has previously identified mitochondrial alterations as a facet of dysplastic progression in UC. Here we have worked to fully characterize the spectrum and frequency of mtDNA mutations in UC tumorigenesis by applying a novel, highly sensitive NGS technology, Duplex Sequencing (DS), that can accurately detect mutant allele frequencies (MAF) as low as 0.01%. For two patients that developed cancer, we analyzed 15-20 colon biopsies obtained at colectomy, representing all stages of tumorigenesis. The median duplex sequencing depth was 4,000x, which allowed unprecedented resolution to detect subclonal mutations (MAF 1-99%) and rare mutations (MAF<1%). Several subclonal mutations were present in all biopsies, but with variable MAF, thus enabling construction of phylogenetic trees via PHYLIP analysis. Rare mutations were abundant in all biopsies; on average one in every 10,000 nucleotides sequenced was mutated. Most rare mutations were G to A transitions, indicative of replicative errors, but G to T and C to A transversions, the oxidative damage mutational signature, were prevalent in some biopsies. We conclude, therefore, that most mtDNA mutations are caused by proliferation with a contribution by inflammatory processes, and that this may have greater implications for their role in other cancer types. Citation Format: Kathryn Terese Baker, Daniela Nachmanson, Scott R. Kennedy, Teresa A. Brentnall, Rosa Ana Risques. Characterization of mitochondrial DNA mutations and tumor evolution in ulcerative colitis-associated colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5743. doi:10.1158/1538-7445.AM2017-5743

Abstract 3051: Mechanism of early dissemination and metastasis in Her2+ mammary cancer

Abstract Metastasis is the leading cause of cancer related deaths and these lesions develop from disseminated cancer cells (DCC) that can remain dormant. Metastasis initiating cells are thought to originate from a subpopulation present in progressed invasive tumors. However, DCCs detected in patients before the manifestation of breast cancer metastasis contain fewer genetic abnormalities than primary tumors or than DCCs from patients with metastases. These findings and those in pancreatic cancer and melanoma models argued that dissemination might occur during early stages of tumor evolution. Yet, the mechanisms that might allow early-disseminated cancer cells (eDCC) to complete all steps of metastasis were unknown. Here we show that in early lesions (EL), before any overt primary tumor (PT) masses are detected, there is a sub-population of Her2+/P-p38lo/P-ATF2lo/TWISThi/E-cadherinlo early cancer cells that are invasive and disseminate to target organs. Intra-vital imaging and organoid studies of early lesions revealed that Her2+ eDCC precursors locally invaded, intravasated and lodged in target organs. Her2+ eDCCs activated a Wnt-dependent EMT-like dissemination program but without complete loss of epithelial phenotype that was reversed by Her2 or Wnt inhibition. Surprisingly, while the majority of eDCCs are TWISThi/E-cadherinlo and dormant, they eventually initiate metastasis. Our work identifies a mechanism for early dissemination whereby Her2 aberrantly activates a program similar to mammary ductal branching that spawns eDCCs capable of forming metastasis after a dormancy phase. Citation Format: Kathryn Harper, Maria Soledad Sosa, David Entenberg, Hedayatollah Hosseini, Julie Cheung, Rita Nobre, Alvaro Avivar-Valderas, Chandandaneep Nagi, Nomeda Girnius, Roger Davis, Eduardo Farias, John Condeelis, Christoph A. Klein, Julio A. Aguirre-Ghiso. Mechanism of early dissemination and metastasis in Her2+ mammary cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3051. doi:10.1158/1538-7445.AM2017-3051

Abstract 5053: Tumor cell clustering - Identification of new regulators

Abstract Cancer cell aggregation is a key process involved at different stages of tumor evolution, during primary tumor growth, metastatic cells dissemination and secondary tumor evolution. Thus, understanding principles that govern and modulate the ability of cancer cells to aggregate might pave the way for new therapeutic opportunities. We investigated cancer cell aggregation independently of cell migration or matrix adhesion and demonstrated that the cell-cell adhesion protein E-cadherin and the desmosome proteins DSG2 and DSC2 are both involved this process (Saias, 2015). Strikingly, elevated expression of these proteins in primary tumors has also been reported to be associated with blood detection of clusters of highly metastatic circulating tumor cells and poor prognosis (Aceto, 2014). We also reported that Myosin IIa applies a counter force that slows down aggregation indicating that acto-myosin cytoskeleton tension favors aggregation. To further decipher the regulation of this process, we developed arrays of hydrogel microwells and robust microscopy-based quantification assay to monitor the kinetics of aggregation of tumor cells in the absence of cell - substrate adhesion. We performed a candidate approach and found that several other members of the cadherin superfamily are involved in the aggregation process. We also conducted a small molecule screen to identify other pathways involved in regulating aggregation of tumor cells. We will report unpublished results on the characterization of the molecular bases of aggregation properties in various tumor cell types and on the identification of new regulatory mechanisms that modulate this process. - Saias L, Gomes A, Cazales M, Ducommun B, Lobjois V. Cell-cell adhesion and cytoskeleton tension oppose each other in regulating tumor cell aggregation. Cancer Res. (2015) 75(12); 1-8 - Aceto N, Bardia A, Miyamoto DT, Donaldson MC, Wittner BS, Spencer JA, et al. Circulating tumor cell clusters are oligoclonal precursors of breast cancer metastasis. Cell 2014;158:1110-22. Citation Format: Valérie LOBJOIS, Bernard Ducommun. Tumor cell clustering - Identification of new regulators. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5053.

Abstract 2421: Circulating tumor cells reveal the genetic evolution of metastatic breast cancer

Abstract BACKGROUND. Anti-cancer treatment failure is caused by the genetic and phenotypic heterogeneous properties of the disease. Early dissemination of circulating tumor cells (CTCs) into the blood circulation of cancer patients allows for parallel genetic evolution of the primary tumor and metastases. This study investigated the genomic make-up of CTCs originating from metastasis as a so called “liquid biopsy” and compared these with the different clones of the archived autologous primary tumor on single cell level. METHODS. From two breast cancer patients, individual CTCs were isolated from blood using Ficoll density gradient followed by micromanipulation of keratin positive cells. Single cells from archived primary breast tumors from the same patients were captured by laser microdissection. DNA was isolated and amplified by whole genome amplification and copy number alterations (CNA) were obtained by shallow, whole genome next generations sequencing (NGS). RESULTS. From the first breast cancer patient, the genomes from 50 single cells from the primary tumor were sequenced. An unsupervised phylogenetic cluster analysis based on CNA revealed five distinct subclones that displayed increasing chromosomal instability from the first to the last cluster. Using support vector machine (SVM) learning, the CNA profiles of 42 CTCs were residing mostly to the first three clones with few chromosomal aberrations, whereas only one CTC resided to the fourth clone and none to the last with many chromosomal aberrations. The tumor from a second breast cancer patient displayed the presence of three genetically distinct clones with increasing chromosomal instability after sequencing 11 single cells. CTCs (n = 12) from this patient at metastatic disease were classified to the last branch using SVM, however with low probability. After repeating unsupervised clustering on the genomes of the primary tumor tissue and CTCs, a fourth branch was formed with CTCs only. CONCLUSION. Our results suggest that therapy resistant metastases in breast cancer patients can originate from tumor clones from early stages of tumor evolution and may genetically still be similar (patient 1). On the other hand, further genetic progression may also take place (patient 2) after which the genetic landscape of the metastasis does not resemble the primary tumor anymore. These results underline the importance of “liquid biopsy” in the diagnosis of metastatic cancer. Citation Format: Simon A. Joosse, Anna Babayan, Katharina Prieske, Daniela Indenbirken, Malik Alawi, Eike C. Burandt, Adam Grundhoff, Volkmar Müller, Klaus Pantel. Circulating tumor cells reveal the genetic evolution of metastatic breast cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2421.

Live Microscopy of Primary Tumors and Lung Metastasis in Mouse Models of Breast Cancer

Live imaging opens up the possibility to visualize the dynamic molecular and cellular events underlining different stages of tumor evolution over long periods of time. The MMTVPyMT mouse model demonstrates a progressive disease that parallels the stages of human luminal B breast cancer subtype, exhibiting dissemination of cancer cells to the periphery. Intravital imaging on the MMTV-PyMT mouse model can provide insights on tumor processes. Since these are mammary tumors, minimally invasive skin flap surgery allows optical access to the breast tumor, followed by confocal imaging. When the skin flap is removed, a glass microscope slide is attached to the skin behind the mammary gland. An oximeter is used to monitor breathing and pulse.