Gender and ploidy in cancer survival

Ploidy status analysis in small cell lung cancer cells and its use in cytopathological diagnosis

OBJECTIVE

To explore the characteristics of the ploidy status of Small Cell Lung Cancer (SCLC) cells and assesses its efficacy in cytopathological diagnosis of SCLC.

METHODS

A retrospective analysis was performed on patients who agreed to DNA image cytometry (DNA ICM) and serum tumor biomarker testing. Samples for ploidy assessment, all from bronchial procedures, were analyzed using DNA ICM. Data on demographic features, pathological characteristics, staging results, biomarkers such as neuron specific enolase (NSE) and Pro-gastrin-releasing peptide (ProGRP) data, and ploidy status across different groups were collected. Corresponding statistical analyses were conducted to examine differences in aneuploid status among the groups. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic efficacy of DNA ICM and tumor markers for diagnosing SCLC.

RESULTS

A total of 74 patients with SCLC, 108 patients with NSCLC, and 74 patients with benign lesions were included. The age range of all patients was 26 to 85 years, with 69% being male and 31% female. In terms of ploidy status, single aneuploid cell peaks and double aneuploid peaks were observed in both SCLC and NSCLC groups. The proportions of two types of aneuploid cell peaks differed significantly between the two groups (P=0.008). The aneuploid cell ratio showed a high accuracy for small-cell lung cancer, with a sensitivity of 91.2% and a specificity of 88.1%. There was no statistical difference in ploidy status between limited and extensive stages of SCLC. As for biomarkers, the AUC (area under the curve) values were 0.921 for NSE and 0.928 for ProGRP, with a significant difference in NSE between two stages of SCLC (P=0.015), while no significant difference was observed in ProGRP.

CONCLUSION

Aneuploid cell peaks in SCLC patients are mostly distributed in the near triploid range, possibly serving as a specific cytological marker for SCLC. DNA ICM is a highly sensitive tool that may be an adjunct for SCLC diagnosis.

Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics

Analyzing somatic evolution within a tumor over time and across space is a key challenge in cancer research. Spatially resolved transcriptomics (SRT) measures gene expression at thousands of spatial locations in a tumor, but does not directly reveal genomic aberrations. We introduce CalicoST, an algorithm to simultaneously infer allele-specific copy number aberrations (CNAs) and reconstruct spatial tumor evolution, or phylogeography, from SRT data. CalicoST identifies important classes of CNAs-including copy-neutral loss of heterozygosity and mirrored subclonal CNAs-that are invisible to total copy number analysis. Using nine patients' data from the Human Tumor Atlas Network, CalicoST achieves an average accuracy of 86%, approximately 21% higher than existing methods. CalicoST reconstructs a tumor phylogeography in three-dimensional space for two patients with multiple adjacent slices. CalicoST analysis of multiple SRT slices from a cancerous prostate organ reveals mirrored subclonal CNAs on the two sides of the prostate, forming a bifurcating phylogeography in both genetic and physical space.

Delineating intra-tumoral heterogeneity and tumor evolution in breast cancer using precision-based approaches

The burden of breast cancer continues to increase worldwide as it remains the most diagnosed tumor in females and the second leading cause of cancer-related deaths. Breast cancer is a heterogeneous disease characterized by different subtypes which are driven by aberrations in key genes such as BRCA1 and BRCA2, and hormone receptors. However, even within each subtype, heterogeneity that is driven by underlying evolutionary mechanisms is suggested to underlie poor response to therapy, variance in disease progression, recurrence, and relapse. Intratumoral heterogeneity highlights that the evolvability of tumor cells depends on interactions with cells of the tumor microenvironment. The complexity of the tumor microenvironment is being unraveled by recent advances in screening technologies such as high throughput sequencing; however, there remain challenges that impede the practical use of these approaches, considering the underlying biology of the tumor microenvironment and the impact of selective pressures on the evolvability of tumor cells. In this review, we will highlight the advances made thus far in defining the molecular heterogeneity in breast cancer and the implications thereof in diagnosis, the design and application of targeted therapies for improved clinical outcomes. We describe the different precision-based approaches to diagnosis and treatment and their prospects. We further propose that effective cancer diagnosis and treatment are dependent on unpacking the tumor microenvironment and its role in driving intratumoral heterogeneity. Underwriting such heterogeneity are Darwinian concepts of natural selection that we suggest need to be taken into account to ensure evolutionarily informed therapeutic decisions.

Population-based cancer survival in the Golestan province in the northeastern part of Iran 2007-2012

OBJECTIVE

We studied 5-year relative survival (RS) for 14 leading cancer sites in the population-based cancer registry (PBCR) of Golestan province in the northeastern part of Iran.

METHODOLOGY

We followed patients diagnosed in 2007-2012 through data linkage with different databases, including the national causes of death registry and vital statistics office. We also followed the remaining patients through active contact. We used relative survival (RS) analysis to estimate 5-year age-standardized net survival for each cancer site. Multiple Imputation (MI) method was performed to obtain vital status for loss to follow-up (LTFU) cases.

RESULTS

We followed 6910 cancer patients from Golestan PBCR. However, 2162 patients were loss to follow-up. We found a higher RS in women (29.5%, 95% CI, 27.5, 31.7) than men (21.0%, 95% CI, 19.5, 22.5). The highest RS was observed for breast cancer in women (RS=49.8%, 95% CI, 42.2, 56.9) and colon cancer in men (RS=37.9%, 95% CI, 31.2, 44.6). Pancreatic cancer had the lowest RS both in men (RS= 8.7%, 95% CI, 4.1, 13.5) and women (RS= 7.9%, 95% CI, 5.0, 10.8) CONCLUSION: Although the 5-year cancer survival rates were relatively low in the Golestan province, there were distinct variations by cancer site. Further studies are required to evaluate the survival trends in Golestan province over time and compare them with the rates in the neighboring provinces and other countries in the region.

Classification and Treatment of Diseases in the Age of Genome Medicine Based on Pathway Pathology

The focus of pathology as a biomedical discipline is the identification of the pathomechanisms of diseases and the integration of this knowledge into routine diagnosis and classification. Standard tools are macroscopic and microscopic analysis complemented by immunohistochemistry and molecular pathology. So far, classification has been based on the paradigm of cellular pathology established by Rudolf Virchow and others more than 150 years ago, stating that diseases originate from diseased cells. This dogma is meanwhile challenged by the fact that cells can be fully reprogrammed. Many diseases are nowadays considered to originate from undifferentiated stem cells, induced into a diseased state by genetic or epigenetic alterations. In addition, the completion of the Human Genome Project, with the identification of more than 20.000 genes and a much higher number of gene variants and mutations, led to the concept that diseases are dominated by genetics/epigenetics rather than cells of origin. The axiom of cellular pathology, however, still holds true, as cells are the smallest animate units from which diseases originate. Medical doctors and researchers nowadays have to deal with a tremendous amount of data. The International Classification of Diseases will expand from 14.400 entities/codes in ICD-10 to more than 55.000 in ICD-11. In addition, large datasets generated by “genomics“, e.g., whole-genome sequencing, expression profiling or methylome analysis, are meanwhile not only applied in research but also introduced into clinical settings. It constitutes a major task to incorporate all the data into routine medical work. Pathway pathology may help solve this problem. It is based on the realization that diseases are characterized by three essential components: (i) cells of origin/cellular context and (ii) the alteration of cellular as well as (iii) molecular/signal transduction pathways. The concept is illustrated by elaborating on two key cellular pathways, i.e., the cellular senescence of normal cells and the immortality of cancer cells, and by contrasting single cell/single pathway diseases, such as mycoplasma and coughing pneumonia, with complex diseases such as cancer, with multiple cell types as well as multiple affected cellular and signaling pathways. Importantly, the concept of pathway pathology is not just intended to classify disease, but also to conceive new treatment modalities. This article is dedicated to Dr. Leonard Hayflick, who made basic discoveries in pathway pathology not only by identifying cells causing disease (Mycoplasma pneumoniae) and establishing cell strains for treating disease (WI-38 for viral vaccines), but also by first describing cellular senescence and immortality.

Men receive more end-of-life cancer hospital treatment than women: fact or fiction?

BACKGROUND

An important goal of health care systems is equitable access to health care. Previous research, however, indicates that men receive more cancer care and health care resources than women. The aim of this study was to investigate whether there is a gender difference in terms of end-of-life cancer treatment in hospitals in Norway.

MATERIAL AND METHODS

We used nationwide patient-level data from the Norwegian Patient Registry (2013-2017, n = 64,694), and aggregated data from the Norwegian Cause of Death Registry (2013-2018, n = 66,534). We described direct medical costs and utilization of cancer treatment in hospitals (in-patient stays and out-patient clinics) and specialized palliative home care teams by the means of the following variables: gender, type of cancer, age, region of residence, place of death, and use of pharmaceutical anti-cancer treatment last month before death. Generalized linear models with a gamma distribution and log-link function were fitted to identify determinants of direct medical costs in hospital's last year of life.

RESULTS

Women aged 0-69 years had an average direct medical cost in hospitals of €26,117 during the last year of life, compared to €29,540 for men, while they were respectively €19,889 and €22,405 for those aged 70 years or older. These gender differences were confirmed in regression models with gender as the only covariate. Adjusted additionally for the type of cancer, the difference was 11%, while including age as a covariate reduced the difference to 6%. When the place of death was also included, the difference was down to 4%.

DISCUSSION

The gender difference in hospital costs last year of life can largely be explained by age at death and the proportion dying in hospitals. When adjusting for confounding factors, the differences in end-of-life costs in hospitals are minimal.

IMP3 protein is an independent prognostic factor of clinical stage II rectal cancer

Immunohistochemical level of IMP3-protein in patients with rectal cancer in clinical stage II (141), were correlated with sociodemographic, pathohistological and clinical indicators and duration of overall-survival and progression-free-survival. Vascular invasion was associated with IMP3-positive immunostaining (p < 0.001). Vascular invasion ratio in the group of poorly-differentiated-tumors was 21 times higher than in the group of well-differentiated-tumors. IMP3-positive patients lived 2.2 times shorter than negative (p < 0.001). Patients with well-differentiated-tumors lived 1.7 times longer than the subjects with poorly-differentiated-tumors (p < 0.001). Patients without vascular invasion lived 2.7 times longer than the subjects with vascular invasion (p < 0.001). The risk of mortality was 2.3 times higher for IMP3 positive patients (p = 0.027) and 10.4 higher for the patients with vascular invasion (p < 0.001). IMP3-negative participants had 2.3 times longer free interval without disease (p < 0.001). The free interval without disease was 3.6 times longer in the group without vascular invasion (p < 0.001). The risk of disease relapse in the IMP3 positive group was 5.3 times higher (p < 0.001) and with vascular invasion was 8 times longer (p < 0.001). The risk of disease relapse was 6.8 times higher in the group with vascular invasion (p < 0.001). Patients with rectal cancer and high IMP3-protein level will have a shorter overall survival relative to patients without or with low levels of IMP3. The analysis of IMP3 expression by immunohistochemistry pointed IMP3 as an independent prognostic factor of clinical stage II rectal cancer.

Paradoxes of cancer: Survival at the brink

The fundamental understanding of how Cancer initiates, persists and then progresses is evolving. High-resolution technologies, including single-cell mutation and gene expression measurements, are now attainable, providing an ever-increasing insight into the molecular details. However, this higher resolution has shown that somatic mutation theory itself cannot explain the extraordinary resistance of cancer to extinction. There is a need for a more Systems-based framework of understanding cancer complexity, which in particular explains the regulation of gene expression during cell-fate decisions. Cancer displays a series of paradoxes. Here we attempt to approach them from the view-point of adaptive exploration of gene regulatory networks at the edge of order and chaos, where cell-fate is changed by oscillations between alternative regulators of cellular senescence and reprogramming operating through self-organisation. On this background, the role of polyploidy in accessing the phylogenetically pre-programmed "oncofetal attractor" state, related to unicellularity, and the de-selection of unsuitable variants at the brink of cell survival is highlighted. The concepts of the embryological and atavistic theory of cancer, cancer cell "life-cycle", and cancer aneuploidy paradox are dissected under this lense. Finally, we challenge researchers to consider that cancer "defects" are mostly the adaptation tools of survival programs that have arisen during evolution and are intrinsic of cancer. Recognition of these features should help in the development of more successful anti-cancer treatments.

Single-cell analysis of copy-number alterations in serous ovarian cancer reveals substantial heterogeneity in both low- and high-grade tumors

Unusually high aneuploidy is a hallmark of epithelial serous ovarian cancer (SOC). Previous analyses have focused on aneuploidy on average across all tumor cells. With the expansion of single-cell sequencing technologies, however, an analysis of copy number heterogeneity cell-to-cell is now technically feasible. Here, we describe an analysis of single-cell RNA sequencing (scRNA-seq) data to infer arm-level aneuploidy in individual serous ovarian cancer cells. By first clustering high-quality sequenced epithelial versus non-epithelial cells, high-confidence tumor cell populations were identified. InferCNV was used to predict segmented copy-number alterations (CNAs), which were then used to determine arm-level aneuploidy at the single-cell level. Control comparisons of normal cells to normal cells showed zero arm-level aneuploidy, whereas a median of four aneuploid events were detectable in cancer cells. A heterogeneity analysis of high-grade tumor cells compared to low-grade tumor cells showed similar levels of cell-to-cell variation between cancer grades. Metastatic tumors potentially showed selection pressure with reduced cell-to-cell variation compared to cells from primary tumors. Minor cell populations with CNAs similar to metastatic cells were identified within the matched primary tumors. Taken together, these results provide a minimum estimate for single-cell aneuploidy in serous ovarian cancer and demonstrate the utility of single-cell sequencing for CNA analysis.

Chromosome Abnormalities: New Insights into Their Clinical Significance in Cancer

Chromosomal abnormalities, consisting of numerical and structural chromosome abnormalities, are a common characteristic of cancer. Numerical chromosome abnormalities, mainly including aneuploidy and chromosome instability, are caused by chromosome segregation errors in mitosis, whereas structural chromosome abnormalities are a consequence of DNA damage and comprise focal/arm-level chromosome gain or loss. Recent advances have started to unveil the mechanisms by which chromosomal abnormalities can facilitate tumorigenesis and change the cellular fitness and the expression or function of RNAs and proteins. Accumulating evidence suggests that chromosome abnormalities represent a genomic signature that is linked to cancer prognosis and reaction to chemotherapy and immunotherapy. In this review, we discuss the most recent findings on the role of chromosome abnormalities in tumorigenesis and cancer progression, with a particular emphasis on how aneuploidy and chromosome instability influence cancer therapy and prognosis. We also highlight the distribution and clinical application of the structural chromosome abnormalities in various cancer types. A better understanding of the role of chromosome abnormalities will be beneficial to the development of precision oncology and suggest future directions for the field.

Hierarchical discovery of large-scale and focal copy number alterations in low-coverage cancer genomes

Background

Detection of DNA copy number alterations (CNAs) is critical to understand genetic diversity, genome evolution and pathological conditions such as cancer. Cancer genomes are plagued with widespread multi-level structural aberrations of chromosomes that pose challenges to discover CNAs of different length scales, and distinct biological origins and functions. Although several computational tools are available to identify CNAs using read depth (RD) signal, they fail to distinguish between large-scale and focal alterations due to inaccurate modeling of the RD signal of cancer genomes. Additionally, RD signal is affected by overdispersion-driven biases at low coverage, which significantly inflate false detection of CNA regions.

Results

We have developed CNAtra framework to hierarchically discover and classify ‘large-scale’ and ‘focal’ copy number gain/loss from a single whole-genome sequencing (WGS) sample. CNAtra first utilizes a multimodal-based distribution to estimate the copy number (CN) reference from the complex RD profile of the cancer genome. We implemented Savitzky-Golay smoothing filter and Modified Varri segmentation to capture the change points of the RD signal. We then developed a CN state-driven merging algorithm to identify the large segments with distinct copy numbers. Next, we identified focal alterations in each large segment using coverage-based thresholding to mitigate the adverse effects of signal variations. Using cancer cell lines and patient datasets, we confirmed CNAtra’s ability to detect and distinguish the segmental aneuploidies and focal alterations. We used realistic simulated data for benchmarking the performance of CNAtra against other single-sample detection tools, where we artificially introduced CNAs in the original cancer profiles. We found that CNAtra is superior in terms of precision, recall and f-measure. CNAtra shows the highest sensitivity of 93 and 97% for detecting large-scale and focal alterations respectively. Visual inspection of CNAs revealed that CNAtra is the most robust detection tool for low-coverage cancer data.

Conclusions

CNAtra is a single-sample CNA detection tool that provides an analytical and visualization framework for CNA profiling without relying on any reference control. It can detect chromosome-level segmental aneuploidies and high-confidence focal alterations, even from low-coverage data. CNAtra is an open-source software implemented in MATLAB^®. It is freely available at https://github.com/AISKhalil/CNAtra.

The Role of Tumor Microenvironment in Genomic Instability of Malignant Tumors

Genomic instability is an essential feature of cancer cells. The somatic mutation theory suggests that along with inherited ones, the changes in DNA caused by environmental factors may cause cancer. Although approximately 50–60 mutations per tumor are observed in established cancer tissue, it is known that not all of these mutations occur at the beginning of carcinogenesis but also occur later in the disease progression. The high frequency of somatic mutations referring to genomic instability contributes to the intratumoral genetic heterogeneity and treatment resistance. The contribution of the tumor microenvironment to the mutations observed following the acquirement of essential malignant characteristics of a cancer cell is one of the topics that have been extensively investigated in recent years. The frequency of mutations in hematologic tumors is generally less than solid tumors. Although it is a hematologic tumor, multiple myeloma is more similar to solid tumors in terms of the high number of chromosomal abnormalities and genetic heterogeneity. In multiple myeloma, bone marrow microenvironment also plays a role in genomic instability that occurs in the very early stages of the disease. In this review, we will briefly summarize the role of the tumor microenvironment and bone marrow microenvironment in the genomic instability seen in solid tumors and multiple myeloma.

Meta-Analysis of Cancer Triploidy: Rearrangements of Genome Complements in Male Human Tumors Are Characterized by XXY Karyotypes

Triploidy in cancer is associated with poor prognosis, but its origins remain unclear. Here, we attempted to differentiate between random chromosomal and whole-genome origins of cancer triploidy. In silico meta-analysis was performed on 15 male malignant and five benign tumor cohorts (2928 karyotypes) extracted from the Mitelman Database, comparing their ploidy and combinations of sex chromosomes. A distinct near-triploid fraction was observed in all malignant tumor types, and was especially high in seminoma. For all tumor types, X-chromosome doubling, predominantly observed as XXY, correlated strongly with the near-triploid state (r ≈ 0.9, p < 0.001), negatively correlated with near-diploidy, and did not correlate with near-tetraploidy. A smaller near-triploid component with a doubled X-chromosome was also present in three of the five benign tumor types, especially notable in colon adenoma. Principal component analysis revealed a non-random correlation structure shaping the X-chromosome disomy distribution across all tumor types. We suggest that doubling of the maternal genome followed by pedogamic fusion with a paternal genome (a possible mimic of the fertilization aberration, 69, XXY digyny) associated with meiotic reprogramming may be responsible for the observed rearrangements of genome complements leading to cancer triploidy. The relatively frequent loss of the Y-chromosome results as a secondary factor from chromosome instability.

PROBING BREAST CANCER THERAPEUTIC RESPONSES BY DNA CONTENT PROFILING

Background. Discrepancies in the interpretation of breast cancer therapeutic responses still exist mainly because of lack of standardized assessment criteria and methods. Objective. DNA content profiling of cells in the affected (cancerous) tissue before and after neoadjuvant chemotherapy (NAC) was applied to facilitate interpretation of therapeutic responses. Methods. Both diagnostic biopsy and operation materials representing the tissue of primary tumors surgically removed after NAC were subjected to DNA image cytometry. Polyploidy and aneuploidy in DNA histograms were evaluated with a prognostic Auer typing. Stemline DNA index (DI) values and percentages of cells that polyploidize (>4.5C) were also determined. Immunofluorescence staining was applied to evaluate proliferation (Ki-67), invasiveness (CD44), and self-renewal factors characteristic for stem cells (SOX2 and NANOG). Results. DNA content profiles of 12 breast cancer cases, of which 7 were triple-negative, revealed the features of tumor non-responsiveness to NAC in 7 cases, of which 5 were triple-negative. Among non-responsive cases there were 3 cases that showed enhanced polyploidization, suggesting the negative NAC effect. Near-triploid (DI=1.26-1.74) triple-negative cases were determined as most resistant to NAC. Cycling near-triploid cells may contribute to the excessive numbers of >4.5C cells. Polyploid cells were positive for Ki-67, CD44, SOX2, and NANOG. Conclusions. DNA content profiling data provide additional helpful information for interpreting therapeutic responses in NAC-treated breast cancers. Polyploid tumor cells possessing stem cell features can be induced by NAC. Because NAC effects in some cases may be unfavorable, the use of the further treatment strategy should be carefully considered.

Genotypic and Phenotypic Variables Affect Meiotic Cell Cycle Progression, Tumor Ploidy, and Cancer-Associated Mortality in a brca2-Mutant Zebrafish Model

Successful cell replication requires both cell cycle completion and accurate chromosomal segregation. The tumor suppressor BRCA2 is positioned to influence both of these outcomes, and thereby influence genomic integrity, during meiotic and mitotic cell cycles. Accordingly, mutations in BRCA2 induce chromosomal abnormalities and disrupt cell cycle progression in both germ cells and somatic cells. Despite these findings, aneuploidy is not more prevalent in BRCA2-associated versus non-BRCA2-associated human cancers. More puzzlingly, diploidy in BRCA2-associated cancers is a negative prognostic factor, unlike non-BRCA2-associated cancers and many other human cancers. We used a brca2-mutant/tp53-mutant cancer-prone zebrafish model to explore the impact of BRCA2 mutation on cell cycle progression, ploidy, and cancer-associated mortality by performing DNA content/cell cycle analysis on zebrafish germ cells, somatic cells, and cancer cells. First, we determined that combined brca2/tp53 mutations uniquely disrupt meiotic progression. Second, we determined that sex significantly influences ploidy outcome in zebrafish cancers. Third, we determined that brca2 mutation and female sex each significantly reduce survival time in cancer-bearing zebrafish. Finally, we provide evidence to support a link between BRCA2 mutation, tumor diploidy, and poor survival outcome. These outcomes underscore the utility of this model for studying BRCA2-associated genomic aberrations in normal and cancer cells.

Combinational chromosomal aneuploidies and HPV status for prediction of head and neck squamous cell carcinoma prognosis in biopsies and cytological preparations

PURPOSE

Head and neck squamous cell carcinoma (HNSCC) is one of the most common human cancer types with a very poor prognosis despite improvements in therapeutic modalities. The major known risk factors are tobacco use and alcohol consumption or infection with high-risk human papilloma viruses (HPV), especially in oropharyngeal tumors. The current management based on the assessment of a variety of clinical and pathological parameters does not sufficiently predict outcome.

METHODS

Chromosomal alterations detected in HNSCCs were characterized by metaphase comparative genomic hybridization (CGH) and correlated with clinical parameters as well as survival time. Candidate regions were validated by quantitative polymerase chain reaction, fluorescence-in situ-hybridization (FISH) on dapped tumor tissue and liquid-based cytological smear preparations. In addition, HPV status was determined by polymerase chain reaction and simultaneous immunocytochemical p16INK4a-Ki67 staining.

RESULTS

The most frequent DNA copy number gains were observed on chromosome arms 3q, 8q, 5p, 7q, 12p, and 12q. DNA copy number decreases occurred most frequently at 3p, 17p, 4q, and 5q. FISH analysis verified in part the observed alterations by CGH on dapped tissues and was especially able to detect the most frequent DNA copy changes in cytological specimens.

CONCLUSION

The combination of HPV status and prognostic copy number alteration detected by FISH in biopsies or cytological specimens may be an applicable protocol for screening head and neck cancer patients prior to therapy.

Aneuploidy: a common and early evidence-based biomarker for carcinogens and reproductive toxicants

Aneuploidy, defined as structural and numerical aberrations of chromosomes, continues to draw attention as an informative effect biomarker for carcinogens and male reproductive toxicants. It has been well documented that aneuploidy is a hallmark of cancer. Aneuploidies in oocytes and spermatozoa contribute to infertility, pregnancy loss and a number of congenital abnormalities, and sperm aneuploidy is associated with testicular cancer. It is striking that several carcinogens induce aneuploidy in somatic cells, and also adversely affect the chromosome compliment of germ cells. In this paper we review 1) the contributions of aneuploidy to cancer, infertility, and developmental abnormalities; 2) techniques for assessing aneuploidy in precancerous and malignant lesions and in sperm; and 3) the utility of aneuploidy as a biomarker for integrated chemical assessments of carcinogenicity, and reproductive and developmental toxicity.

Disentangling the aneuploidy and senescence paradoxes: a study of triploid breast cancers non-responsive to neoadjuvant therapy

Aneuploid cells should have a reduced proliferation rate due to difficulty in proceeding through mitosis. However, contrary to this, high aneuploidy is associated with aggressive tumour growth and poor survival prognosis, in particular in triploid breast cancer. A further paradox revolves around the observation that, while cell senescence should inhibit proliferation, the senescence marker p16INK4a correlates with poor treatment outcome in patients with a very aggressive triple-negative breast carcinoma (TNBC). In this study, we aim to pour light on the possible relationship of these conundrums with polyploidy of tumour cells. We performed detailed analysis of DNA histogram profiles in diagnostic core biopsies of 30 cases of operable breast cancer and found that near triploidy in TNBC and other forms correlated with weak or no response to neoadjuvant chemotherapy (NAC) as scored by Miller-Payne index. Polyploid cells in operation samples from tumours that were non-responsive to NAC treatment were Ki67 and CD44 positive. In addition, polyploid cells were positive for markers of embryonic stemness (OCT4, SOX2, NANOG) and senescence (p16INK4a). The relationship patterns between p16INK4a and NANOG were heterogeneous, with predominantly mutually exclusive expression but also synergistic and intermediate variants in the same samples. We conclude that the aneuploidy and senescence paradoxes can be explained by the mutual platform of polyploidy, conferring genomic and epigenetic instability as a survival advantage. Such cells are able to bypass aneuploidy restrictions of conventional mitosis and overcome the barrier of senescence by a shift to self-renewal, resulting in progression of cancer.

Will we cure cancer by sequencing thousands of genomes?

The promise to understand cancer and develop efficacious therapies by sequencing thousands of cancers has not occurred. Mutations in specific genes termed oncogenes and tumor suppressor genes are extremely heterogeneous amongst the same type of cancer as well as between cancers. They provide little selective advantage to the cancer and in functional tests have yet to be shown to be sufficient for transformation. Here I discuss the karyotyptic theory of cancer and ask if it is time for a new approach to understanding and ultimately treating cancer.

Do female cancer patients display better survival rates compared with males? Analysis of the Korean National Registry data, 2005-2009

Background

Sex differences have been reported in the prognosis of certain cancers. In this study, we investigated whether Korean females display better survival rates compared with male patients for solid tumor sites.

Methods

We analyzed data from the Korean National Cancer Incidence Database from 599,288 adult patients diagnosed with solid cancers between 2005 and 2009. Patients were followed until December 2010. We applied a relative excess risk (RER) model adjusting for year of follow-up, age at diagnosis, and stage at diagnosis.

Results

For all solid cancer sites combined, women displayed an 11% lower risk of death compared to men (RER 0.89; 95% CI 0.88–0.90) after adjusting for year of follow-up, age, stage, and case mix. Women showed significantly lower RERs for the following sites: head/neck, esophagus, small intestine, liver, nasal cavities, lung, bone/cartilages, melanoma of skin, soft tissue, brain and CNS, and thyroid. In contrast, women displayed a poorer prognosis than did men for colorectal, laryngeal, kidney and bladder cancer. However, the survival gaps between men and women narrowed by increase in age; female patients over 75 years of age displayed a 3% higher RER of death compared with males in this age group.

Conclusions

Female cancer patients display an improved survival for the majority of solid tumor sites, even after adjustment for age and stage. Age at diagnosis was the major contributor to the women’s survival advantage.

A new whole genome amplification method for studying clonal evolution patterns in malignant colorectal polyps

To identify the genetic drivers of colorectal tumorigenesis, we applied array comparative genomic hybridization (aCGH) to 13 formalin-fixed paraffin-embedded (FFPE) samples of early, localized human colon adenocarcinomas arising in high-grade adenomas (so-called "malignant polyps"). These lesions are small and hence the amount of DNA is limited. Additionally, the quality of DNA is compromised due to the fragmentation as a consequence of formalin fixation. To overcome these problems, we optimized a newly developed isothermal whole genome amplification system (NuGEN Ovation® WGA FFPE System). Starting with 100 ng of FFPE DNA, the amplification system produced 4.01 ± 0.29 μg (mean ± standard deviation) of DNA. The excellent quality of amplified DNA was further indicated by a high signal-to-noise ratio and a low derivative log(2) ratio spread. Both, the amount of amplified DNA and aCGH performance were independent of the age of the FFPE blocks and the associated degradation of the extracted DNA. We observed losses of chromosome arms 5q and 18q in the adenoma components of the malignant polyp samples, while the embedded early carcinomas revealed losses of 8p, 17p, and 18, and gains of 7, 13, and 20. Aberrations detected in the adenoma components were invariably maintained in the embedded carcinomas. This approach demonstrates that using isothermally whole genome amplified FFPE DNA is technically suitable for aCGH. In addition to demonstrating the clonal origin of the adenoma and carcinoma part within a malignant polyp, the gain of chromosome arm 20q was an indicator for progression from adenoma to carcinoma.

Molecular cytogenetic characterization of epithelioid hemangioendothelioma

Epithelioid hemangioendothelioma (EHE) is a rare vascular tumor whose pathological diagnosis can be difficult. In the literature two cases of EHE were found to harbor a balanced t(1;3)(p36.3;q25) translocation, suggesting a characteristic chromosomal rearrangement as cause for the development of EHE. In this study, 14 cases of EHE were investigated by interphase fluorescence in situ hybridization (FISH) directed against the translocation breakpoint 1p36.3. A subset of cases was also analyzed by comparative genomic hybridization (CGH) and image cytometry. Five out of eight cases that could be successfully analyzed by FISH harbored a chromosomal break in the 1p36.3 region. The break-apart signals were present in diploid nuclei, and less frequently also in tetraploid nuclei. In the latter, the chromosomal break was present twice, suggesting that polyploidy occurred after the chromosomal alteration. DNA cytometry confirmed that tetraploid cells were present in most examined cases with one case indicating almost equal amounts of diploid and tetraploid tumor cells. CGH revealed single chromosomal imbalances of unclear significance. We could confirm that EHE may harbor a recurrent mutation involving the 1p36.3 chromosomal region thus supporting the notion that the t(1;3)(p36.3;q25) translocation is a relevant genetic finding in this tumor entity.

Thoracic neoplasms at the Jena reference center for soft tissue tumors

INTRODUCTION

The Jena Soft Tissue Tumor Reference Center is the major German pathology institute for consultation of malignant mesenchymal tumors. Here, we present the clinicopathological data on thoracic soft tissue tumors of a two-year period.

METHODS

The tumors were analyzed according to their localization, type (soft tissue tumor, other tumor type, non-neoplastic lesion) and biological behavior. The frequency of the defined soft tissue tumor entities were considered after categorizing the cases according to the WHO Classification of Tumors. Gender and age were also assessed.

RESULTS

In total, 1,071 cases of thoracic tumors were recorded within the 2 years. The majority were non-epithelial lesions (75.3%, n = 806/1,071), of which 68.1% (n = 549/806) were malignant or intermediate malignant. 107 non-epithelial lesions involved the lung and 37 the pleura. By far the most common lung and pleural tumors were undifferentiated sarcomas. In the lung, other frequent entities were solitary fibrous tumors, synovial sarcomas and leiomyosarcomas. We also recorded 13 non-epithelial tumors of the heart and 66 tumors of the breast with angiosarcomas being the most frequent subtype. There was a female predominance for vascular neoplasms, while men prevailed for adipocytic tumors.

CONCLUSIONS

Our study provides information about the frequency, distribution, age and gender of patients with thoracic soft tissue tumors including several rare entities. Thus, it may help in the differential diagnosis of these neoplasms. In addition, we present a model highlighting the potential progression of lung carcinoma to undifferentiated sarcoma via the process of epithelial-mesenchymal transition.

The impact of the genetic background on the genome make-up of tumor cells

Endometrial adenocarcinoma (EAC) is the most common form of malignancy in the female genital tract, ranking as the fourth leading form of invasive tumors that affect women. The BDII inbred rat strain has been used as a powerful tumor model in studies of the genetic background of EAC. Females from the BDII strain are prone to develop tumors with an incidence of more than 90%. Development of EAC in BDII female rats has similarities in pathogenesis, histopathological, and molecular properties to that of human, and thus represents a unique model for analysis of EAC tumorigenesis and for comparative studies in human EACs. In a previous study, a set of rat EAC cell lines derived from tumors developed in female crossprogenies between BDII and nonsusceptible rat strains were analyzed by spectral karyotyping (SKY). Here we present an analysis with specific focus on the impact of different genetic backgrounds on the rate and occurrence of genetic aberrations in experimental tumors using data presented in the previous report. We could reveal that the ploidy state, and the abundance and type of structural as well as numerical change differed between the two genetic setups. We have also identified chromosomes harboring aberrations independent of genetic input from the nonsusceptible strains, which provide valuable information for the identification of the genes involved in the development of EAC in the BDII model as well as in human endometrial tumors.