Although the WHO system describes a number of well-defined tumour types with clear diagnostic criteria, the overall level of agreement was moderate and improved if some groups were amalgamated.

Abstract.Graflund M, Sorbe B, Hussein A, Bryne M, Karlsson M.The purpose of this study was to investigate the prognostic importance of clinical and histopathologic factors, including malignancy grading systems (MGS), partial index (PI), invasive front grading (IFG), and microvessel density. A complete geographic series of 172 early stage (FIGO I–II) cervical carcinomas treated by Wertheim-Meigs surgery during the period 1965–1990 was studied. The patients were followed up for at least 10 years. Significant prognostic factors for disease-free survival were lymph node status (P < 0.0000001), radical surgical margins (P = 0.00003), and tumor size (P = 0.008). In a multivariate Cox analysis it was shown that lymph node status was the single most important prognostic factor with regard to disease-free survival. The total MGS and the PI scores were highly significantly (P = 0.0001) associated with pelvic lymph node metastases and disease-free survival rate in squamous cell carcinomas. The MGS and the PI systems were superior to the IFG system in predicting lymph node metastases. The total IFG score was also a statistically highly significant (P = 0.003) prognostic factor with regard to disease-free survival in both univariate and multivariate analyses. Microvessel density was a nonsignificant prognostic factor. There was a highly significant (P = 0.002) association between vascular space invasion of tumor cells and the presence of lymph node metastases. In conclusion, histopathologic malignancy grading systems provide valuable prognostic information in patients with early stage squamous cell carcinomas of the uterine cervix.

Accurate histological classification and identification of fusion genes represent two cornerstones of clinical diagnostics in non-small cell lung cancer (NSCLC). Here, we present a NanoString gene expression platform and a novel platform-independent, single sample predictor (SSP) of NSCLC histology for combined, simultaneous, histological classification and fusion gene detection in minimal formalin fixed paraffin embedded (FFPE) tissue. The SSP was developed in 68 NSCLC tumors of adenocarcinoma (AC), squamous cell carcinoma (SqCC) and large-cell neuroendocrine carcinoma (LCNEC) histology, based on NanoString expression of 11 (CHGA, SYP, CD56, SFTPG, NAPSA, TTF-1, TP73L, KRT6A, KRT5, KRT40, KRT16) relevant genes for IHC-based NSCLC histology classification. The SSP was combined with a gene fusion detection module (analyzing ALK, RET, ROS1, MET, NRG1, and NTRK1) into a multicomponent NanoString assay. The histological SSP was validated in six cohorts varying in size (n = 11–199), tissue origin (early or advanced disease), histological composition (including undifferentiated cancer), and gene expression platform. Fusion gene detection revealed five EML4-ALK fusions, four KIF5B-RET fusions, two CD74-NRG1 fusion and three MET exon 14 skipping events among 131 tested cases. The histological SSP was successfully trained and tested in the development cohort (mean AUC = 0.96 in iterated test sets). The SSP proved successful in predicting histology of NSCLC tumors of well-defined subgroups and difficult undifferentiated morphology irrespective of gene expression data platform. Discrepancies between gene expression prediction and histologic diagnosis included cases with mixed histologies, true large cell carcinomas, or poorly differentiated adenocarcinomas with mucin expression. In summary, we present a proof-of-concept multicomponent assay for parallel histological classification and multiplexed fusion gene detection in archival tissue, including a novel platform-independent histological SSP classifier. The assay and SSP could serve as a promising complement in the routine evaluation of diagnostic lung cancer biopsies.

Disease recurrence in surgically treated lung adenocarcinoma (AC) remains high. New approaches for risk stratification beyond tumor stage are needed. Gene expressionbased AC subtypes such as the Cancer Genome Atlas Network (TCGA) terminalrespiratory unit (TRU), proximal-inflammatory (PI) and proximal-proliferative (PP) subtypes have been associated with prognosis, but show methodological limitations for robust clinical use. We aimed to derive a platform independent single sample

Background. The main attention regarding prognostic and predictive markers in NSCLC directs towards the EGFR-targeted pathway, where the most studied genetic alterations include EGFR mutations, EGFR copy number, and KRAS mutations. We wanted to explore the prognostic impact of mutated KRAS in the stage III setting treated with high-dose radiochemotherapy. Methods. Samples were obtained from patients participating in two prospective studies of locally advanced NSCLC receiving combined radiochemotherapy: the RAKET study, a randomized phase II study where patients were treated with induction chemotherapy (carboplatin/paclitaxel) followed by concurrent radiochemotherapy, and the Satellite trial, a phase II study with induction chemotherapy (cisplatin/docetaxel) followed by radiotherapy concurrent cetuximab. The samples were analysed regarding KRAS mutations, EGFR mutations, and EGFR FISH positivity. Results. Patients with mutated KRAS had a significantly inferior survival, which maintained its significance in a multivariate analysis when other possible prognostic factors were taken into account. The prevalence of KRAS mutations, EGFR mutations, and EGFR FISH positivity were 28.8%, 7.5%, and 19.7%, respectively. Conclusion. Mutated KRAS is an independent negative prognostic factor for survival in NSCLC stage III disease treated with combined radiochemotherapy. The prevalence of KRAS mutations and EGFR mutations are as expected in this Scandinavian population.