Mutational burden and signatures in 4000 Japanese cancers provide insights into tumorigenesis and response to therapy

Tumor mutational burden (TMB) and mutational signatures reflect the process of mutation accumulation in cancer. However, the significance of these emerging characteristics remains unclear. In the present study, we used whole‐exome sequencing to analyze the TMB and mutational signature in solid tumors of 4046 Japanese patients. Eight predominant signatures—microsatellite instability, smoking, POLE, APOBEC, UV, mismatch repair, double‐strand break repair, and Signature 16—were observed in tumors with TMB higher than 1.0 mutation/Mb, whereas POLE and UV signatures only showed moderate correlation with TMB, suggesting the extensive accumulation of mutations due to defective POLE and UV exposure. The contribution ratio of Signature 16, which is associated with hepatocellular carcinoma in drinkers, was increased in hypopharynx cancer. Tumors with predominant microsatellite instability signature were potential candidates for treatment with immune checkpoint inhibitors such as pembrolizumab and were found in 2.8% of cases. Furthermore, based on microarray analysis, tumors with predominant signatures were classified into 2 subgroups depending on the expression of immune‐related genes reflecting differences in the immune context of the tumor microenvironment. Tumor subpopulations differing in the content of infiltrating immune cells might respond differently to immunotherapeutics. An understanding of cancer characteristics based on TMB and mutational signatures could provide new insights into mutation‐driven tumorigenesis.     

Unraveling most abundant mutational signatures in head and neck cancer

Genomic alterations are a driving force in the multistep process of head and neck cancer (HNC) and result from the interaction of exogenous environmental exposures and endogenous cellular processes. Each of these processes leaves a characteristic pattern of mutations on the tumor genome providing the unique opportunity to decipher specific signatures of mutational processes operative during HNC pathogenesis and to address their prognostic value. Computational analysis of whole exome sequencing data of the HIPO‐HNC (Heidelberg Center for Personalized Oncology‐head and neck cancer) (n = 83) and TCGA‐HNSC (The Cancer Genome Atlas‐Head and Neck Squamous Cell Carcinoma) (n = 506) cohorts revealed five common mutational signatures (Catalogue of Somatic Mutations in Cancer [COSMIC] Signatures 1, 2, 3, 13 and 16) and demonstrated their significant association with etiological risk factors (tobacco, alcohol and HPV16). Unsupervised hierarchical clustering identified four clusters (A, B, C1 and C2) of which Subcluster C2 was enriched for cases with a higher frequency of signature 16 mutations. Tumors of Subcluster C2 had significantly lower p16^INK4A expression accompanied by homozygous CDKN2A deletion in almost one half of cases. Survival analysis revealed an unfavorable prognosis for patients with tumors characterized by a higher mutation burden attributed to signature 16 as well as cases in Subcluster C2. Finally, a LASSO‐Cox regression model was applied to prioritize clinically relevant signatures and to establish a prognostic risk score for head and neck squamous cell carcinoma patients. In conclusion, our study provides a proof of concept that computational analysis of somatic mutational signatures is not only a powerful tool to decipher environmental and intrinsic processes in the pathogenesis of HNC, but could also pave the way to establish reliable prognostic patterns.     

Inverse PCR-based RFLP scanning identifies low-level mutation signatures in colon cells and tumors

Detecting the presence and diversity of low-level mutations in human tumors undergoing genomic instability is desirable due to their potential prognostic value and their putative influence on the ability of tumors to resist drug treatment and/or metastasize. However, direct measurement of these genetic alterations in surgical samples has been elusive, because technical hurdles make mutation discovery impractical at low-mutation frequency levels (<10(-2)). Here, we describe inverse PCR-based amplified restriction fragment length polymorphism (iFLP), a new technology that combines inverse PCR, RFLP, and denaturing high-performance liquid chromatography to allow scanning of the genome at several thousand positions per experiment for low-level point mutations. Using iFLP, widespread, low-level mutations at mutation frequency 10(-2)-10(-4) were discovered in genes located on different chromosomes, e.g., OGG1, MSH2, PTEN, beta-catenin, Bcl-2, P21, ATK3, and Braf, in human colon cancer cells that harbor mismatch repair deficiency whereas mismatch repair-proficient cells were mutation free. Application of iFLP to the screening of sporadic colon cancer surgical specimens demonstrated widespread low-level mutations in seven out of 10 samples, but not in their normal tissue counterparts, and predicted the presence of millions of diverse, low-incidence mutations in tumors. Unique low-level mutational signatures were identified for each colon cancer cell line and tumor specimen. iFLP allows the high-throughput discovery and tracing of mutational signatures in human cells, precancerous lesions, and primary or metastatic tumors and the assessment of the number and heterogeneity of low-level mutations in surgical samples.     

Germline variants and somatic mutation signatures of breast cancer across populations of African and European ancestry in the US and Nigeria

Somatic mutation signatures may represent footprints of genetic and environmental exposures that cause different cancer. Few studies have comprehensively examined their association with germline variants, and none in an indigenous African population. SomaticSignatures was employed to extract mutation signatures based on whole-genome or whole-exome sequencing data from female patients with breast cancer (TCGA, training set, n = 1,011; Nigerian samples, validation set, n = 170), and to estimate contributions of signatures in each sample. Association between somatic signatures and common single nucleotide polymorphisms (SNPs) or rare deleterious variants were examined using linear regression. Nine stable signatures were inferred, and four signatures (APOBEC C>T, APOBEC C>G, aging and homologous recombination deficiency) were highly similar to known COSMIC signatures and explained the majority (60–85%) of signature contributions. There were significant heritable components associated with APOBEC C>T signature (h² = 0.575, p = 0.010) and the combined APOBEC signatures (h² = 0.432, p = 0.042). In TCGA dataset, seven common SNPs within or near GNB5 were significantly associated with an increased proportion (beta = 0.33, 95% CI = 0.21–0.45) of APOBEC signature contribution at genome-wide significance, while rare germline mutations in MTCL1 was also significantly associated with a higher contribution of this signature (p = 6.1 × 10⁻⁶). This is the first study to identify associations between germline variants and mutational patterns in breast cancer across diverse populations and geography. The findings provide evidence to substantiate causal links between germline genetic risk variants and carcinogenesis.     

A mutational signature associated with alcohol consumption and prognostically significantly mutated driver genes in esophageal squamous cell carcinoma

BackgroundEsophageal squamous cell carcinoma (ESCC) is often diagnosed at an advanced and incurable stage. Information on driver genes and prognosticators in ESCC remains incomplete. The objective was to elucidate significantly mutated genes (SMGs), mutational signatures, and prognosticators in ESCC.Patients and methodsThree MutSig algorithms (i.e. MutSigCV, MutSigCL and MutSigFN) and ‘20/20+’ ratio-metric were employed to identify SMGs. Nonnegative matrix factorization was used to decipher mutational signatures. Kaplan–Meier survival analysis, multivariate Cox and logistic regression models were applied to analyze association between mutational features and clinical parameters.ResultsWe identified 26 SMGs, including 8 novel (NAV3, TENM3, PTCH1, TGFBR2, RIPK4, PBRM1, USP8 and BAP1) and 18 that have been previously reported. Three mutational signatures were identified to be prevalent in ESCC including clocklike C>T at CpG, APOBEC overactive C>T at TpCp[A/T], and a signature featured by T>C substitution. The T>C mutational signature was significantly correlated with alcohol consumption (OR: 3.59; 95% CI: 2.30–5.67; P < 0.001). This alcohol consumption signature was also observed in liver cancer and head and neck squamous cell carcinoma, and its mutational activity was substantially higher in samples with mutations in TP53. Survival analysis revealed that TENM3 mutations (HR: 5.54; CI: 2.68–11.45; P < 0.001) and TP53 hotspot mutation p.R213* (HR: 3.37; CI: 1.73–8.06; P < 0.001) were significantly associated with shortened survival outcome. The association remained statistically significant after controlling for age, gender, TNM stage and tumor grade.ConclusionsWe have uncovered several new SMGs in ESCC and defined an alcohol consumption related mutational signature. TENM3 mutations and the TP53 hotspot mutation p.R213* are independent prognosticators for poor survival in ESCC.     

Three molecular pathways model colorectal carcinogenesis in Lynch syndrome

Lynch syndrome is caused by germline mutations of DNA mismatch repair (MMR) genes. MMR deficiency has long been regarded as a secondary event in the pathogenesis of Lynch syndrome colorectal cancers. Recently, this concept has been challenged by the discovery of MMR‐deficient crypt foci in the normal mucosa. We aimed to reconstruct colorectal carcinogenesis in Lynch syndrome by collecting molecular and histology evidence from Lynch syndrome adenomas and carcinomas. We determined the frequency of MMR deficiency in adenomas from Lynch syndrome mutation carriers by immunohistochemistry and by systematic literature analysis. To trace back the pathways of pathogenesis, histological growth patterns and mutational signatures were analyzed in Lynch syndrome colorectal cancers. Literature and immunohistochemistry analysis demonstrated MMR deficiency in 491 (76.7%) out of 640 adenomas (95% CI: 73.3% to 79.8%) from Lynch syndrome mutation carriers. Histologically normal MMR‐deficient crypts were found directly adjacent to dysplastic adenoma tissue, proving their role as tumor precursors in Lynch syndrome. Accordingly, mutation signature analysis in Lynch colorectal cancers revealed that KRAS and APC mutations commonly occur after the onset of MMR deficiency. Tumors lacking evidence of polypous growth frequently presented with CTNNB1 and TP53 mutations. Our findings demonstrate that Lynch syndrome colorectal cancers can develop through three pathways, with MMR deficiency commonly representing an early and possibly initiating event. This underlines that targeting MMR‐deficient cells by chemoprevention or vaccines against MMR deficiency‐induced frameshift peptide neoantigens holds promise for tumor prevention in Lynch syndrome.     

Mutational signature of the proximate bladder carcinogen N-hydroxy-4-acetylaminobiphenyl: inconsistency with the p53 mutational spectrum in bladder cancer

We studied the mutagenicity of the proximate bladder carcinogen, N-hydroxy-4-acetylaminobiphenyl (N-OH-AABP) in embryonic fibroblasts of the Big Blue mouse. Treatment of these cells with increasing concentrations of N-OH-AABP for 24 h resulted in a dose-dependent increase in mutation frequency of the cII transgene up to 12.8-fold over the background. Single base substitutions comprised 86% of the N-OH-AABP-induced mutations and 74% of the spontaneous cII mutations (sequenced number of mutant plaques, 141 and 145, respectively). Of these, 63 and 36%, respectively, occurred at guanine residues along the cII gene. Whereas G to T transversions predominated in the induced cII mutations (47%), insertion was the most spontaneously derived cII mutation (19%). Mapping of N-OH-AABP-induced DNA adducts along the cII gene by terminal transferase-dependent PCR showed the formation of DNA adducts at specific nucleotide positions. Five preferential DNA adduction sites were established, of which four were major mutation sites for N-OH-AABP, especially for G to T transversions. This unique mutational signature of N-OH-AABP in the cII gene was, however, in sharp contrast with the mutational spectrum of the p53 gene in human bladder cancer. G to A transitions are the dominant type of p53 mutations (53%), being also prevalent in almost all of its five mutational hotspots (codons 175, 248, 273, 280, and 285). In addition, the majority of mutations in three of these hotspots (codons 175, 248, and 273) are at a methylated CpG site, whereas in the cII gene neither the preferential N-OH-AABP DNA adduction sites nor the induced mutational hotspots are biased toward methylated CpG dinucleotides. We conclude that N-OH-AABP leaves a characteristic mutational signature in the cII transgene, which is consistent with its preferential DNA adduction profile. However, the pattern of mutation induced by N-OH-AABP in the cII gene is largely at odds with the mutational spectrum of the p53 gene in human bladder cancer.     

Tumor-associated Apc mutations in Mlh1-/- Apc1638N mice reveal a mutational signature of Mlh1 deficiency

Apc1638N mice, which are heterozygous for a germline mutation in Apc, typically develop three to five spontaneous intestinal tumors per animal. In most cases this is associated with allelic loss of wildtype Apc. We have previously reported that the multiplicity of intestinal tumors is increased dramatically by crossing Apc1638N with an Mlh1-deficient mouse strain that represents an animal model of hereditary non-polyposis colorectal cancer (HNPCC). The increased tumor multiplicity in these mice was associated with somatic mutations in the Apc tumor suppressor gene. Here, we have examined the nature and distribution of 91 Apc mutations implicated in the development of intestinal tumors in Mlh1-/- Apc1638N animals. Protein truncation mutations were detected in a majority of tumor samples, indicating that the prevailing mechanism of Apc mutation in tumors is altered from allelic loss to intragenic mutation as a result of Mlh1 deficiency. The observed mutations were a mixture of base substitutions (27%) and frameshifts (73%). Most frameshifts were detected within dinucleotide repeats and there were prominent mutational hotspots within sequences of this sort at codons 927-929, 1209-1211 and 1461-1464. The observed Apc mutations caused protein truncation upstream of the third 20 amino acid beta-catenin binding domain and the first Axin-binding SAMP repeat, yielding Apc proteins that are predicted to be deficient in destabilizing beta-catenin. Our results reveal a characteristic mutational signature in Apc that is attributable to Mlh1 deficiency. This demonstrates a direct effect of Mlh1 deficiency in the mutation of Apc in these tumors, and provides data that clarify the role of Mlh1 in mammalian DNA mismatch repair.     

Refinement of breast cancer risk prediction with concordant leading edge subsets from prognostic gene signatures

Several prognostic signatures have been identified for breast cancer. However, these signatures vary extensively in their gene compositions, and the poor concordance of the risk groups defined by the prognostic signatures hinders their clinical applicability. Breast cancer risk prediction was refined with a novel approach to finding concordant genes from leading edge analysis of prognostic signatures. Each signature was split into two gene sets, which contained either up-regulated or down-regulated genes, and leading edge analysis was performed within each array study for all up-/down-regulated gene sets of the same signature from all training datasets. Consensus of leading edge subsets among all training microarrays was used to synthesize a predictive model, which was then tested in independent studies by partial least squares regression. Only a small portion of six prognostic signatures (Amsterdam, Rotterdam, Genomic Grade Index, Recurrence Score, and Hu306 and PAM50 of intrinsic subtypes) was significantly enriched in the leading edge analysis in five training datasets (n = 2,380), and that the concordant leading edge subsets (43 genes) could identify the core signature genes that account for the enrichment signals providing prognostic power across all assayed samples. The proposed concordant leading edge algorithm was able to discriminate high-risk from low-risk patients in terms of relapse-free or distant metastasis-free survival in all training samples (hazard ratios: 1.84–2.20) and in three out of four independent studies (hazard ratios: 3.91–8.31). In some studies, the concordant leading edge subset remained a significant prognostic factor independent of clinical ER, HER2, and lymph node status. The present study provides a statistical framework for identifying core consensus across microarray studies with leading edge analysis, and a breast cancer risk predictive model was established.     

Type of TP53 mutation and ERBB2 amplification affects survival in node-negative breast cancer

Alterations of TP53 and ERBB2 have been shown to play important roles in the prognosis of breast cancer. The primary objective of this study is to characterize TP53 mutation types in node negative breast cancer and investigate their prognostic value, alone and in combination with ERBB2 amplification status. TP53 mutational status (exons 2–10) and ERBB2 amplification status were determined in tumor specimens from a prospective cohort of 543 women with node-negative breast cancer. During a median follow-up of 120 months, there were 111 disease recurrences, and 81 disease-related deaths (3 with cancer; 78 from cancer). Of 543 women, 133 (24.5%) carried mutations in exons 4–9 of the TP53 gene. Seventy-one (53.4%) of these mutations were missense; whereas 62 (46.6%) were protein-truncating mutations. Women whose tumors had missense TP53 mutations were found to be at significantly higher risk of recurrence and death compared to those with wild type TP53, and they also tended to have worse prognosis compared to those with truncating mutations. Those with short truncated proteins tended to have good prognosis compared to those with long truncated proteins, but the risk of recurrence and death did not differ between those whose tumors exhibited conserved versus non-conserved mutations. Missense mutations, in combination with ERBB2 amplification, were observed in 4.6% of the tumors and dramatically affected the disease-specific survival (DSS) and disease-free survival (DFS) of the breast cancer patients. Our study suggests that the type of TP53 mutation, especially missense mutation, is a strong prognostic indicator for DFS and DSS in node-negative breast cancer, particularly in combination with ERBB2 amplification. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

CRC-113 gene expression signature for predicting prognosis in patients with colorectal cancer

Colorectal cancer (CRC) is the third leading cause of global cancer mortality. Recent studies have proposed several gene signatures to predict CRC prognosis, but none of those have proven reliable for predicting prognosis in clinical practice yet due to poor reproducibility and molecular heterogeneity. Here, we have established a prognostic signature of 113 probe sets (CRC-113) that include potential biomarkers and reflect the biological and clinical characteristics. Robustness and accuracy were significantly validated in external data sets from 19 centers in five countries. In multivariate analysis, CRC-113 gene signature showed a stronger prognostic value for survival and disease recurrence in CRC patients than current clinicopathological risk factors and molecular alterations. We also demonstrated that the CRC-113 gene signature reflected both genetic and epigenetic molecular heterogeneity in CRC patients. Furthermore, incorporation of the CRC-113 gene signature into a clinical context and molecular markers further refined the selection of the CRC patients who might benefit from postoperative chemotherapy. Conclusively, CRC-113 gene signature provides new possibilities for improving prognostic models and personalized therapeutic strategies.     

Whole genome sequencing of melanomas in adolescent and young adults reveals distinct mutation landscapes and the potential role of germline variants in disease susceptibility

Cutaneous melanoma accounts for at least >10% of all cancers in adolescents and young adults (AYA, 15–30 years of age) in Western countries. To date, little is known about the correlations between germline variants and somatic mutations and mutation signatures in AYA melanoma patients that might explain why they have developed a cancer predominantly affecting those over 65 years of age. We performed genomic analysis of 50 AYA melanoma patients (onset 10–30 years, median 20); 25 underwent whole genome sequencing (WGS) of both tumor and germline DNA, exome data were retrieved from 12 TCGA AYA cases, and targeted DNA sequencing was conducted on 13 cases. The AYA cases were compared with WGS data from 121 adult cutaneous melanomas. Similar to mature adult cutaneous melanomas, AYA melanomas showed a high mutation burden and mutation signatures of ultraviolet radiation (UVR) damage. The frequencies of somatic mutations in BRAF (96%) and PTEN (36%) in the AYA WGS cohort were double the rates observed in adult melanomas (Q < 6.0 × 10⁻⁶ and 0.028, respectively). Furthermore, AYA melanomas contained a higher proportion of non-UVR-related mutation signatures than mature adult melanomas as a proportion of total mutation burden (p = 2.0 × 10⁻⁴). Interestingly, these non-UVR mutation signatures relate to APOBEC or mismatch repair pathways, and germline variants in related genes were observed in some of these cases. We conclude that AYA melanomas harbor some of the same molecular aberrations and mutagenic insults occurring in older adults, but in different proportions. Germline variants that may have conferred disease susceptibility correlated with somatic mutation signatures in a subset of AYA melanomas.     

Comprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies

BackgroundA more accurate prognosis for non-small-cell lung cancer (NSCLC) patients could aid in the identification of patients at high risk for recurrence. Many NSCLC mRNA expression signatures claiming to be prognostic have been reported in the literature. The goal of this study was to identify the most promising mRNA prognostic signatures in NSCLC for further prospective clinical validation.Experimental designWe carried out a systematic review and meta-analysis of published mRNA prognostic signatures for resected NSCLC. The prognostic performance of each signature was evaluated via a meta-analysis of 1927 early stage NSCLC patients collected from 15 studies using three evaluation metrics (hazard ratios, concordance scores, and time-dependent receiver-operating characteristic curves). The performance of each signature was then evaluated against 100 random signatures. The prognostic power independent of clinical risk factors was assessed by multivariate Cox models.ResultsThrough a literature search, we identified 42 lung cancer prognostic signatures derived from genome-wide expression profiling analysis. Based on meta-analysis, 25 signatures were prognostic for survival after adjusting for clinical risk factors and 18 signatures carried out significantly better than random signatures. When analyzing histology types separately, 17 signatures and 8 signatures are prognostic for adenocarcinoma and squamous cell lung cancer, respectively. Despite little overlap among published gene signatures, the top-performing signatures are highly concordant in predicted patient outcomes.ConclusionsBased on this large-scale meta-analysis, we identified a set of mRNA expression prognostic signatures appropriate for further validation in prospective clinical studies.     

P53 mutational status improves estimation of prognosis in patients with curatively resected adenocarcinoma in Barrett's esophagus.

The incidence of adenocarcinomas in Barrett's esophagus has been rising in the last two decades in the United States and Western Europe for yet unknown reasons. We reported previously a large multi-institutional trial implicating p53 mutations as being involved in the pathogenesis of Barrett's cancer and representing an early marker for the malignant potential of Barrett's epithelium. A prospective study was performed to evaluate the prognostic impact of p53 mutations on survival in 59 patients with Barrett's cancer. Tissue for DNA analysis was obtained by endoscopic biopsy or immediately after surgical resections from the tumor, Barrett's epithelium, and normal stomach and esophagus. p53 mutation analysis was performed by PCR-single strand conformational polymorphism screening of exons 5-9 and DNA sequencing to unequivocally prove the presence of a mutation. p53 mutations were identified in 30 of 59 (50.8%) patients. The presence of a p53 mutation in the tumor had a significant impact on survival after curative resections (RO-resections) with cumulative 5-year survival probabilities of 68.8+/-9.7% for mutation-negative tumors and 24.3+/-9.9% for mutation-positive tumors (log rank: P < 0.001). By Cox proportional hazard analysis, including the parameters of gender, age, Union International Contre Cancer tumor stage, grading, and p53 mutation status, only Union International Contre Cancer tumor stage (P < 0.0001) and p53 mutation status (P < 0.02) were of significant independent prognostic importance. p53 mutation analysis by DNA sequencing is of significant independent prognostic importance next to histopathological tumor stage in patients with curatively resected (RO-resection) Barrett's cancer. It appears that p53 mutational status is a valuable parameter to define low-risk (p53 mutation-negative) and high-risk (p53 mutation-positive) groups for treatment failure after curative resections.     

Gene expression signatures for colorectal cancer microsatellite status and HNPCC

The majority of microsatellite instable (MSI) colorectal cancers are sporadic, but a subset belongs to the syndrome hereditary non-polyposis colorectal cancer (HNPCC). Microsatellite instability is caused by dysfunction of the mismatch repair (MMR) system that leads to a mutator phenotype, and MSI is correlated to prognosis and response to chemotherapy. Gene expression signatures as predictive markers are being developed for many cancers, and the identification of a signature for MMR deficiency would be of interest both clinically and biologically. To address this issue, we profiled the gene expression of 101 stage II and III colorectal cancers (34 MSI, 67 microsatellite stable (MSS)) using high-density oligonucleotide microarrays. From these data, we constructed a nine-gene signature capable of separating the mismatch repair proficient and deficient tumours. Subsequently, we demonstrated the robustness of the signature by transferring it to a real-time RT-PCR platform. Using this platform, the signature was validated on an independent test set consisting of 47 tumours (10 MSI, 37 MSS), of which 45 were correctly classified. In a second step, we constructed a signature capable of separating MMR-deficient tumours into sporadic MSI and HNPCC cases, and validated this by a mathematical cross-validation approach. The demonstration that this two-step classification approach can identify MSI as well as HNPCC cases merits further gene expression studies to identify prognostic signatures.     

Immunohistochemical Ki67 labeling index has similar proliferation predictive power to various gene signatures in breast cancer

The objective of this study was to examine the association between the immunohistochemical Ki67 labeling index (IHC Ki67), Ki67 mRNA expression level, and first-generation gene signatures in a cohort of breast cancer patients. We assessed associations between IHC Ki67 and first-generation gene signatures in a panel of 39 tumor samples, using an oligonucleotide microarray. Gene expression analyses included Ki67 alone (MKi67), 21-gene signature, mitosis kinome score signature, and genomic grade index. Correlation coefficients were calculated by Spearman's rank correlation test. In all cases, IHC Ki67, MKi67, and three genetic markers were highly correlated (ρ, 0.71-0.97). Estrogen receptor (ER)-positive cases showed strong correlations between IHC Ki67 and other signatures (ρ, 0.79-0.83). The ER-negative cases showed slightly lower correlations (ρ, 0.58-0.73). In ER-positive cases, the low IHC Ki67 group showed significantly longer relapse-free survival than the high IHC Ki67 group (P = 0.007). This difference was confirmed by multivariate analysis. Our data indicate that IHC Ki67 shows similar predictive power for proliferation in ER-positive cancers as genomic markers. Further study of IHC Ki67 is needed to define prognostic factors and predictive factors for chemotherapy using central laboratory assessment.     

Microvessel density and p53 mutations in advanced-stage epithelial ovarian cancer

We planned to determine the relationship between angiogenesis and p53 mutational status in advanced-stage epithelial ovarian cancer. Using 190 tumor samples from patients with stage III and IV ovarian cancer we performed p53 sequencing, immunohistochemistry, and CD31 microvessel density (MVD) determination. MVD was elevated in tumors with p53 null mutations compared to p53 missense mutation or no mutation. Disease recurrence was increased with higher MVD in both unadjusted and adjusted analyses. In adjusted analysis, p53 null mutation was associated with increased recurrence and worse overall survival. Worse overall survival and increased recurrence risk were also associated with the combination of CD31 MVD values >25 vessels/HPF and any p53 mutation. P53 mutation status and MVD may have prognostic significance in patients with advanced-stage ovarian cancer. Tumors with p53 null mutations are likely to be more vascular, contributing to decreased survival and increased recurrence probability.