Independent validation of the prognostic significance of invasion patterns in endocervical adenocarcinoma: Pattern A predicts excellent survival.

OBJECTIVE: Recently, the pattern of invasion in usual-type human papillomavirus-associated endocervical adenocarcinoma (AC) was put forward as a novel variable to select patients with favourable prognosis. Based on destructiveness of stromal invasion, three patterns were proposed: A - no destructive stromal invasion, B - focal destructive stromal invasion, and C - diffuse destructive stromal invasion. We aimed to independently validate the clinical significance of this classification-system in 82 AC patients, and explored associations between invasion pattern and somatic mutations. METHODS: All patients surgically treated for FIGO stage IB-IIA usual type AC (1990-2011, n = 82) were retrospectively reviewed and classified into pattern A, B or C. Additional immunohistochemical analyses were performed for p53, MSH6, and PMS2. Moreover, previously obtained data on somatic hotspot mutations in 13 relevant genes was integrated. RESULTS: Of 82 AC, 22% showed pattern A, 37% pattern B, and 41% pattern C. Significant differences were observed between invasion patterns and tumour size, depth of invasion (DOI), lymph-vascular invasion (LVI), and lymph-node metastasis. Significantly fewer mutations were present in tumours with pattern A morphology (p = 0.036). All pattern A patients survived (p = 0.002) without recurrent disease (p = 0.005). In multivariate regression analysis including tumour size, DOI, LVI, and lymph node metastasis, invasion pattern was a strong independent predictor for recurrence-free and disease-specific survival (HR 3.75, 95%CI 1.16-12.11, and HR 5.08, 95%CI 1.23-20.98, respectively). CONCLUSIONS: We have independently validated the clinical significance of invasion patterns for usual type endocervical AC. Pattern A predicts excellent survival, and a clinical trial should prove safety of a more conservative treatment for these patients.

The landscape of somatic mutations in Indonesian cervical cancer is predominated by the PI3K pathway.

OBJECTIVE: To investigate the prevalence of somatic mutations in Indonesian cervical carcinoma patients in the context of histology and human papillomavirus (HPV) type. METHODS: In total 174 somatic hot-spot mutations in 13 genes were analyzed by mass spectrometry in 137 Indonesian cervical carcinomas. RESULTS: In 66/137 tumors (48%) 95 mutations were identified. PIK3CA was most frequently mutated (24%), followed by FBXW7 (7%), CTNNB1 (6%), and PTEN (6%). In squamous cell carcinomas more often multiple mutations per sample (p=0.040), and more PIK3CA (p=0.039) and CTNNB1 (p=0.038) mutations were detected compared to adenocarcinomas. PIK3CA mutations were associated with HPV 16 positivity, CDKN2A mutations with HPV 52 positivity, and, interestingly, PTEN mutations with HPV negativity. Balinese tumor samples more often carried multiple mutations (p=0.019), and more CTNNB1, CDKN2A, and NRAS mutations compared to Javanese tumor samples. CONCLUSIONS: Potentially targetable somatic mutations occurred in 48% of Indonesian cervical carcinomas. The landscape of mutations is predominated by mutations concerning the PI3K pathway, and we prompt for more research on developing therapies targeting this pathway, explicitly for the more advanced stage cervical carcinoma patients.

Precise Classification of Cervical Carcinomas Combined with Somatic Mutation Profiling Contributes to Predicting Disease Outcome.

INTRODUCTION: Squamous cell carcinoma (SCC), adenocarcinoma (AC), and adenosquamous carcinoma (ASC) are the most common histological subtypes of cervical cancer. Differences in the somatic mutation profiles of these subtypes have been suggested. We investigated the prevalence of somatic hot-spot mutations in three well-defined cohorts of SCC, AC, and ASC and determined the additional value of mutation profiling in predicting disease outcome relative to well-established prognostic parameters. MATERIALS AND METHODS: Clinicopathological data were collected for 301 cervical tumors classified as SCC (n=166), AC (n=55), or ASC (n=80). Mass spectrometry was used to analyze 171 somatic hot-spot mutations in 13 relevant genes. RESULTS: In 103 (34%) tumors, 123 mutations were detected (36% in SCC, 38% in AC, and 28% in ASC), mostly in PIK3CA (20%) and KRAS (7%). PIK3CA mutations occurred more frequently in SCC than AC (25% vs. 11%, P=0.025), whereas KRAS mutations occurred more frequently in AC than SCC (24% vs. 3%, P<0.001) and ASC (24% vs. 3%, P<0.001). A positive mutation status correlated with worse disease-free survival (HR 1.57, P=0.043). In multivariate analysis, tumor diameter, parametrial infiltration, and lymph node metastasis, but not the presence of a somatic mutation, were independent predictors of survival. CONCLUSION: Potentially targetable somatic mutations occurred in 34% of cervical tumors with different distributions among histological subtypes. Precise classification of cervical carcinomas in combination with mutation profiling is valuable for predicting disease outcome and may guide the development and selection of tumor-specific treatment approaches.

Differences in genetic variation in antigen-processing machinery components and association with cervical carcinoma risk in two Indonesian populations.

Genetic variation of antigen-processing machinery (APM) components has been shown to be associated with cervical carcinoma risk and outcome in a genetically homogeneous Dutch population. However, the role of APM component single nucleotide polymorphisms (SNPs) in genetically heterogeneous populations with different distributions of human papillomavirus (HPV) subtypes remains unclear. Eleven non-synonymous, coding SNPs in the TAP1, TAP2, LMP2, LMP7 and ERAP1 genes were genotyped in cervical carcinoma patients and healthy controls from two distinct Indonesian populations (Balinese and Javanese). Individual genotype and allele distributions were investigated using single-marker analysis, and combined SNP effects were assessed by haplotype construction and haplotype interaction analysis. Allele distribution patterns in Bali and Java differed in relation to cervical carcinoma risk, with four ERAP1 SNPs and one TAP2 SNP in the Javanese population showing significant association with cervical carcinoma risk, while in the Balinese population, only one TAP2 SNP showed this association. Multimarker analysis demonstrated that in the Javanese patients, one specific haplotype, consisting of the ERAP1-575 locus on chromosome 5 and the TAP2-379 and TAP2-651 loci on chromosome 6, was significantly associated with cervical carcinoma risk (global P = 0.008); no significant haplotype associations were found in the Balinese population. These data indicate not only that genetic variation in APM component genes is associated with cervical carcinoma risk in Indonesia but also that the patterns of association differ depending on background genetic composition and possibly on differences in HPV type distribution.

Versican expression is associated with tumor-infiltrating CD8-positive T cells and infiltration depth in cervical cancer.

Cervical carcinoma is the second most frequent cancer type in women worldwide. Both inflammatory cells and stromal cells are important for tumor progression. Stromal cells produce growth factors and extracellular matrix and provide an adequate environment for angiogenesis. Versican, a member of the extracellular matrix, has been shown to have a role in tumor progression. The aim of this study was to investigate versican expression, and its association with tumor-infiltrating inflammatory cell subsets and with clinicopathological parameters in human cervical cancers. We have studied the expression of versican in 149 cervical cancers using immunohistochemistry and mRNA in situ hybridization. Versican was predominantly expressed in the stroma (myofibroblasts). Using quantitative real-time-PCR, V0 was found to be the most prominent isoform. High stromal versican expression was significantly associated with a low number of tumor-infiltrating T cells (P=0.018) and particularly a low number of CD8-positive T cells (cytotoxic T cells; P=0.002). Stromal versican expression was significantly higher in patients with an infiltration depth >14 mm (P=0.004) and in patients with parametrial invasion (P=0.044). Stromal versican expression was not associated with survival. Our results suggest that versican expression in the stromal compartment of cervical cancers results in reduced numbers of intraepithelial CD8-positive T cells and enhanced local invasion.

Genetic variation of antigen processing machinery components and association with cervical carcinoma.

The antigen processing machinery (APM) plays an important role in immune recognition of virally infected and transformed cells. Defective expression of several APM components is associated with progression and clinical outcome in cervical carcinoma. Genetic variation in the genes encoding APM components is known to be associated with risk of occurrence of several malignancies. However, only limited evidence exists supporting the role of single nucleotide polymorphisms (SNPs) in APM components in cervical carcinoma. We have therefore investigated the occurrence of APM component SNP genotypes and haplotypes in cervical carcinoma. Thirteen coding SNPs in the LMP2, LMP7, TAP1, TAP2, and ERAP1 genes were genotyped in 127 cervical carcinoma patients and 124 controls. Individual genotype and allele distributions were assessed by single-marker analysis. Effects of various SNP combinations were estimated by haplotype construction and subsequent haplotype interaction analysis. Significant haplotypes were modeled on disease risk. Allele distributions at the LMP7-145, TAP2-651, ERAP1-127, and ERAP1-730 loci differed significantly between cases and controls with the major allele at the LMP7 and TAP2 loci and the minor allele at both ERAP1 loci associated with increased cervical carcinoma risk. A combination of the two haplotypes spanning these loci was associated with a three-fold increased risk (OR = 3.024; P << 0.001); approximately 12% of all cervical carcinoma occurrences were attributable to this combination. Our data indicate that combined genetic variation in the TAP2, LMP7, and ERAP1 genes is associated with increased cervical carcinoma risk.