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To elucidate the molecular mechanisms of mammary carcinogenesis and discover novel therapeutic targets for breast cancer, we previously carried out genome‐wide expression profile analysis of 81 breast cancer cases by means of cDNA microarray coupled with laser microbeam microdissection of cancer cells. Among the dozens of transactivated genes, in the present study we focused on the functional significance of kinesin family member 2C (KIF2C)/mitotic centromere‐associated kinesin (MCAK) in the growth of breast cancer cells. Northern blot and immunohistochemical analyses confirmed KIF2C/MCAK overexpression in breast cancer cells, and showed that it is expressed at undetectable levels in normal human tissues except the testis, suggesting KIF2C/MCAK to be a cancer–testis antigen. Western blot analysis using breast cancer cell lines revealed a significant increase in the endogenous KIF2C/MCAK protein level and its phosphorylation in G2/M phase. Treatment of breast cancer cells with small interfering RNA against KIF2C/MCAK effectively suppressed KIF2C/MCAK expression and inhibited the growth of the breast cancer cell lines T47D and HBC5. In addition, we found that KIF2C/MCAK expression was significantly suppressed by ectopic introduction of p53. These findings suggest that overexpression of KIF2C/MCAK might be involved in breast carcinogenesis and is a promising therapeutic target for breast cancers. (Cancer Sci 2008; 99: 62–70)

Through analysis of the detailed genome‐wide gene expression profiles of 81 breast tumors, we identified a novel gene, G‐patch domain containing 2 (GPATCH2), that was overexpressed in the great majority of breast cancer cases. Treatment of breast cancer cells MCF‐7 and T47D with siRNA against GPATCH2 effectively suppressed its expression, and resulted in the growth suppression of cancer cells, suggesting its essential role in breast cancer cell growth. We found an interaction of GPATCH2 protein with hPrp43, an RNA‐dependent ATPase. Their interaction could significantly enhance the ATPase activity of hPrp43 and induce a growth‐promoting effect on mammalian cells. Because northern blot analyses of normal human organs implied GPATCH2 to be a novel cancer/testis antigen, targeting GPATCH2 or inhibition of the interaction between GPATCH2 and hPrp43 could be a promising novel therapeutic strategy of breast cancer. (Cancer Sci 2009)

Breast cancer is known to be a hormone‐dependent disease, and estrogens through an interaction with estrogen receptor (ER) enhance the proliferative and metastatic activity of breast tumor cells. Here we show a critical role of transactivation of BIG3, brefeldin A‐inhibited guanine nucleotide‐exchange protein 3, in activation of the estrogen/ER signaling in breast cancer cells. Knocking‐down of BIG3 expression with small‐interfering RNA (siRNA) drastically suppressed the growth of breast cancer cells. Subsequent coimmunoprecipitation and immunoblotting assays revealed an interaction of BIG3 with prohibitin 2/repressor of estrogen receptor activity (PHB2/REA). When BIG3 was absent, stimulation of estradiol caused the translocation of PHB2/REA to the nucleus, enhanced the interaction of PHB2/REA and ERα, and resulted in suppression of the ERα transcriptional activity. On the other hand, when BIG3 was present, BIG3 trapped PHB2/REA in the cytoplasm and inhibited its nuclear translocation, and caused enhancement of ERα transcriptional activity. Our results imply that BIG3 overexpression is one of the important mechanisms causing the activation of the estrogen/ERα signaling pathway in the hormone‐related growth of breast cancer cells. (Cancer Sci 2009)

A timeline for pancreatic cancer Christine Iacobuzio-Donahue and colleagues use whole-genome exome sequencing to analyse primary pancreatic cancers and one or more metastases from the same patients, and find that tumours are composed of distinct subclones. The authors also determine the evolutionary maps by which metastatic cancer clones have evolved within the primary tumour, and estimate the timescales of tumour progression. On the basis of these data, they estimate a mean period of 11.8 years between the initiation of pancreatic tumorigenesis and the formation of the parental, non-metastatic tumour, and a further 6.8 years for the index metastasis clone to arise. These data point to a potentially large window of opportunity during which it might be possible to detect the cancer in a relatively early form. Peter Campbell and colleagues use next-generation sequencing to detect chromosomal rearrangements in 13 patients with pancreatic cancer. The results reveal considerable inter-patient heterogeneity and indicate ongoing genomic instability and evolution during the development of metastases. But for most of the patients studied, more than half of the genetic rearrangements found were present in all metastases and the primary tumour, making them potential targets for therapeutic intervention at early and late stages of the disease. Pancreatic cancer is highly aggressive, usually because of widespread metastasis. Here, next-generation DNA sequencing has been used to detect genomic rearrangements in 13 patients with pancreatic cancer and to explore clonal relationships among metastases. The results reveal not only considerable inter-patient heterogeneity, but also ongoing genomic instability and evolution during the development of metastases. Pancreatic cancer is an aggressive malignancy with a five-year mortality of 97–98%, usually due to widespread metastatic disease. Previous studies indicate that this disease has a complex genomic landscape, with frequent copy number changes and point mutations 1 , 2 , 3 , 4 , 5 , but genomic rearrangements have not been characterized in detail. Despite the clinical importance of metastasis, there remain fundamental questions about the clonal structures of metastatic tumours 6 , 7 , including phylogenetic relationships among metastases, the scale of ongoing parallel evolution in metastatic and primary sites 7 , and how the tumour disseminates. Here we harness advances in DNA sequencing 8 , 9 , 10 , 11 , 12 to annotate genomic rearrangements in 13 patients with pancreatic cancer and explore clonal relationships among metastases. We find that pancreatic cancer acquires rearrangements indicative of telomere dysfunction and abnormal cell-cycle control, namely dysregulated G1-to-S-phase transition with intact G2–M checkpoint. These initiate amplification of cancer genes and occur predominantly in early cancer development rather than the later stages of the disease. Genomic instability frequently persists after cancer dissemination, resulting in ongoing, parallel and even convergent evolution among different metastases. We find evidence that there is genetic heterogeneity among metastasis-initiating cells, that seeding metastasis may require driver mutations beyond those required for primary tumours, and that phylogenetic trees across metastases show organ-specific branches. These data attest to the richness of genetic variation in cancer, brought about by the tandem forces of genomic instability and evolutionary selection.

Purpose We have previously described a novel pathway controlling drug resistance, epithelial-to-mesenchymal transition (EMT) and stemness in breast cancer cells. Upstream in the pathway, three miRs (miR-106b, miR-93 and miR-25) target EP300, a transcriptional activator of E-cadherin. Upregulation of these miRs leads to the downregulation of EP300 and E-cadherin with initiation of an EMT. However, miRs regulate the expression of many genes, and the contribution to EMT by miR targets other than EP300 cannot be ruled out. Methods We used lentiviruses expressing EP300-targeting shRNA to downregulate its expression in MCF-7 cells as well as an EP300 -knocked-out colon carcinoma cell line. An EP300-expression plasmid was used to upregulate its expression in basal-like CAL51 and MDA-MB-231 breast cancer cells. Drug resistance was determined by short-term proliferation and long-term colony formation assays. Stemness was determined by tumour sphere formation in both soft agar and liquid cultures as well as by the expression of CD44/CD24/ALDH markers. Gene expression microarray analysis was performed in MCF-7 cells lacking EP300. EP300 expression was analysed by immunohistochemistry in 17 samples of metaplastic breast cancer. Results Cells lacking EP300 became more resistant to paclitaxel whereas EP300 overexpression increased their sensitivity to the drug. Expression of cancer stem cell markers, as well as tumour sphere formation, was also increased in EP300-depleted cells, and was diminished in EP300-overexpressing cells. The EP300-regulated gene signature highlighted genes associated with adhesion ( CEACAM5 ), cytoskeletal remodelling ( CAPN9 ), stemness ( ABCG2 ), apoptosis ( BCL2 ) and metastasis ( TGFB2 ). Some genes in this signature were also validated in a previously generated EP300-depleted model of breast cancer using minimally transformed mammary epithelial cells. Importantly, two key genes in apoptosis and stemness, BCL2 and ABCG2 , were also upregulated in EP300-knockout colon carcinoma cells and their paclitaxel-resistant derivatives. Immunohistochemical analysis demonstrated that EP300 expression was low in metaplastic breast cancer, a rare, but aggressive form of the disease with poor prognosis that is characterized by morphological and physiological features of EMT. Conclusions EP300 plays a major role in the reprogramming events, leading to a more malignant phenotype with the acquisition of drug resistance and cell plasticity, a characteristic of metaplastic breast cancer.

Cancer is driven by mutation. Worldwide, tobacco smoking is the principal lifestyle exposure that causes cancer, exerting carcinogenicity through >60 chemicals that bind and mutate DNA. Using massively parallel sequencing technology, we sequenced a small-cell lung cancer cell line, NCI-H209, to explore the mutational burden associated with tobacco smoking. A total of 22,910 somatic substitutions were identified, including 134 in coding exons. Multiple mutation signatures testify to the cocktail of carcinogens in tobacco smoke and their proclivities for particular bases and surrounding sequence context. Effects of transcription-coupled repair and a second, more general, expression-linked repair pathway were evident. We identified a tandem duplication that duplicates exons 3–8 of CHD7 in frame, and another two lines carrying PVT1–CHD7 fusion genes, indicating that CHD7 may be recurrently rearranged in this disease. These findings illustrate the potential for next-generation sequencing to provide unprecedented insights into mutational processes, cellular repair pathways and gene networks associated with cancer. Cancer genomes compared The two cancer genome sequences presented in this issue demonstrate how next-generation sequencing technologies can inform us about mutational processes, repair pathways and gene networks associated with cancer development. First, the genome of a cell line derived from a bone marrow metastasis in a patient who had small-cell lung cancer. This cancer is typical of the type induced by smoking, and the sequence contains mutation signatures characteristic of some of the more than 60 carcinogens present in tobacco smoke. The second paper compares the whole genome sequence of a melanoma cell line to a lymphoblastoid cell line from the same individual. This, the first complete mutational analysis of a solid tumour, reveals a dominant mutational signature reflecting DNA damage due to exposure to ultraviolet light. Tobacco smoke contains more than sixty carcinogens that bind and mutate DNA. Here, massively parallel sequencing technology is used to sequence a small-cell lung cancer cell line, exploring the mutational burden associated with tobacco smoking. Multiple mutation signatures from the cocktail of carcinogens in tobacco smoke are found, as well as evidence of transcription-coupled repair and another, more general, expression-linked repair pathway.

ObjectivePancreatic ductal adenocarcinoma (PDAC) has limited therapeutic options, particularly with immune checkpoint inhibitors. Highly chemoresistant ‘stem-like’ cells, known as cancer stem cells (CSCs), are implicated in PDAC aggressiveness. Thus, comprehending how this subset of cells evades the immune system is crucial for advancing novel therapies.DesignWe used the KPC mouse model (LSL-KrasG12D/+; LSL-Trp53R172H/+; Pdx-1-Cre) and primary tumour cell lines to investigate putative CSC populations. Transcriptomic analyses were conducted to pinpoint new genes involved in immune evasion. Overexpressing and knockout cell lines were established with lentiviral vectors. Subsequent in vitro coculture assays, in vivo mouse and zebrafish tumorigenesis studies, and in silico database approaches were performed.ResultsUsing the KPC mouse model, we functionally confirmed a population of cells marked by EpCAM, Sca-1 and CD133 as authentic CSCs and investigated their transcriptional profile. Immune evasion signatures/genes, notably the gene peptidoglycan recognition protein 1 (PGLYRP1), were significantly overexpressed in these CSCs. Modulating PGLYRP1 impacted CSC immune evasion, affecting their resistance to macrophage-mediated and T-cell-mediated killing and their tumourigenesis in immunocompetent mice. Mechanistically, tumour necrosis factor alpha (TNFα)-regulated PGLYRP1 expression interferes with the immune tumour microenvironment (TME) landscape, promoting myeloid cell-derived immunosuppression and activated T-cell death. Importantly, these findings were not only replicated in human models, but clinically, secreted PGLYRP1 levels were significantly elevated in patients with PDAC.ConclusionsThis study establishes PGLYRP1 as a novel CSC-associated marker crucial for immune evasion, particularly against macrophage phagocytosis and T-cell killing, presenting it as a promising target for PDAC immunotherapy.

In the original publication, Fig. 1 depicting the blot for EP300 in CAL51 cells (Fig. 1c) was unintentionally duplicated with that from MDA-MB-231 cells (Fig. 1d). The new figure given in this erratum depicts the correct EP300 blot in Fig. 1c.

Renal-carcinoma-inducing oncogene Using large-scale exome sequencing, Andrew Futreal and colleagues have identified a second frequently mutated gene (after VHL ) in clear cell renal cell carcinomas, the most frequent type of kidney cancer. PBRM1 , a member of the SWI/SNF complex involved in transcriptional regulation, is mutated in about 40% of cases and is shown to function as a tumour suppressor gene. PBRM1 was independently found as a putative cancer gene involved in pancreatic cancer in a mouse transposon screen. These results — together with the fact that other components of the same complex are known cancer genes — unambiguously identify PBRM1 as a major cancer gene. Using large-scale exome sequencing, this study identifies a second (after VHL ) frequently mutated gene in clear cell renal cell carcinomas, the most frequent type of kidney cancer. PBRM1 , a member of the SWI/SNF complex involved in transcriptional regulation, is mutated in about 40% of cases and shown to function as tumour suppressor gene. PBRM1 was independently found as a putative cancer gene involved in pancreatic cancer in a mouse transposon screen. The genetics of renal cancer is dominated by inactivation of the VHL tumour suppressor gene in clear cell carcinoma (ccRCC), the commonest histological subtype. A recent large-scale screen of ∼3,500 genes by PCR-based exon re-sequencing identified several new cancer genes in ccRCC including UTX (also known as KDM6A ) 1 , JARID1C (also known as KDM5C ) and SETD2 (ref. 2 ). These genes encode enzymes that demethylate ( UTX , JARID1C ) or methylate ( SETD2 ) key lysine residues of histone H3. Modification of the methylation state of these lysine residues of histone H3 regulates chromatin structure and is implicated in transcriptional control 3 . However, together these mutations are present in fewer than 15% of ccRCC, suggesting the existence of additional, currently unidentified cancer genes. Here, we have sequenced the protein coding exome in a series of primary ccRCC and report the identification of the SWI/SNF chromatin remodelling complex gene PBRM1 (ref. 4 ) as a second major ccRCC cancer gene, with truncating mutations in 41% (92/227) of cases. These data further elucidate the somatic genetic architecture of ccRCC and emphasize the marked contribution of aberrant chromatin biology.

All cancers carry somatic mutations. A subset of these somatic alterations, termed driver mutations, confer selective growth advantage and are implicated in cancer development, whereas the remainder are passengers. Here we have sequenced the genomes of a malignant melanoma and a lymphoblastoid cell line from the same person, providing the first comprehensive catalogue of somatic mutations from an individual cancer. The catalogue provides remarkable insights into the forces that have shaped this cancer genome. The dominant mutational signature reflects DNA damage due to ultraviolet light exposure, a known risk factor for malignant melanoma, whereas the uneven distribution of mutations across the genome, with a lower prevalence in gene footprints, indicates that DNA repair has been preferentially deployed towards transcribed regions. The results illustrate the power of a cancer genome sequence to reveal traces of the DNA damage, repair, mutation and selection processes that were operative years before the cancer became symptomatic. Cancer genomes compared The two cancer genome sequences presented in this issue demonstrate how next-generation sequencing technologies can inform us about mutational processes, repair pathways and gene networks associated with cancer development. First, the genome of a cell line derived from a bone marrow metastasis in a patient who had small-cell lung cancer. This cancer is typical of the type induced by smoking, and the sequence contains mutation signatures characteristic of some of the more than 60 carcinogens present in tobacco smoke. The second paper compares the whole genome sequence of a melanoma cell line to a lymphoblastoid cell line from the same individual. This, the first complete mutational analysis of a solid tumour, reveals a dominant mutational signature reflecting DNA damage due to exposure to ultraviolet light. Here, the genomes of a malignant melanoma and a lymphoblastoid cell line from the same person are sequenced, providing the first comprehensive catalogue of somatic mutations from an individual cancer. The data provide insight into the causes of tumour formation and the development of the cancer genome, with the dominant mutational signature reflecting DNA damage due to ultraviolet light exposure.