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The COVID-19 pandemic situation may be viewed as an opportunity to accelerate some of the ongoing transformations in modern pathology. This refers primarily to the digitalisation of the practice of tissue and cellular pathology diagnostics. However, it is also an opportunity to analyse the modus operandi of a discipline that has been practised in a similar manner for more than 100 years. The challenge is to define the next generation of interconnectivity tools that would be necessary to achieve a new operational model that, while ensuring low face-to-face interaction between the main players of the diagnostic pipeline, allows maximum interconnectivity to serve our patients and the immediate teaching and research needs associated with clinical tissue/cellular samples. This viewpoint aims to describe what this new paradigm, a low-contact and high-interconnectivity pathology (LC&HC Path) operation, may require in the near future.

AIMS: Output from biomarker studies involving immunohistochemistry applied to tissue microarrays (TMA) is limited by the lack of an efficient and reproducible scoring methodology. In this study, we examine the functionality and reproducibility of biomarker scoring using the new, open-source, digital image analysis software, QuPath.METHODS AND RESULTS: Three different reviewers, with varying experience of digital pathology and image analysis, applied an agreed QuPath scoring methodology to CD3 and p53 immunohistochemically stained TMAs from a colon cancer cohort (n = 661). Manual assessment was conducted by one reviewer for CD3. Survival analyses were conducted and intra- and interobserver reproducibility assessed. Median raw scores differed significantly between reviewers, but this had little impact on subsequent analyses. Lower CD3 scores were detected in cases who died from colorectal cancer compared to control cases, and this finding was significant for all three reviewers (P-value range = 0.002-0.02). Higher median p53 scores were generated among cases who died from colorectal cancer compared with controls (P-value range = 0.04-0.12). The ability to dichomotise cases into high versus low expression of CD3 and p53 showed excellent agreement between all three reviewers (kappa score range = 0.82-0.93). All three reviewers produced dichotomised expression scores that resulted in very similar hazard ratios for colorectal cancer-specific survival for each biomarker. Results from manual and QuPath methods of CD3 scoring were comparable, but QuPath scoring revealed stronger prognostic stratification.CONCLUSIONS: Scoring of immunohistochemically stained tumour TMAs using QuPath is functional and reproducible, even among users of limited experience of digital pathology images, and more accurate than manual scoring.

AimsBoth morphological and molecular approaches have highlighted the biological and prognostic importance of the tumour microenvironment in colorectal cancer (CRC). Despite this, microscopic assessment of tumour microenvironment has not been adopted into routine practice.Methods and ResultsBased on existing evidence, we selected specific morphological features relating to peritumoral inflammatory and stromal responses, agreed criteria for scoring, and assessed these in representative H&E-stained whole tumour sections, from a population-based cohort of 445 stage II/III colon cancer cases. Moderate/severe peritumoral diffuse lymphoid inflammation and Crohn's disease-like reaction were associated with significantly reduced risks of CRC-specific death (adjusted HR 0.48, 95% CI 0.31-0.76, and HR 0.60, 95% CI 0.42-0.84, respectively). The presence of >50% tumour stromal percentage, assessed by global evaluation of tumour area, was associated with a significantly increased risk of CRC-specific death (HR 1.60 95% CI 1.06-2.41). A composite, “fibroinflammatory score” (0-3), combining dichotomised scores of these three features, showed a highly significant association in relation to survival outcomes. Those with a score ≥2 had an almost 2.5 fold increased risk of CRC-specific death (HR 2.44, 95% CI: 1.56-3.81), compared with those scoring zero. These associations were stronger in MSI-high tumours, potentially identifying a subset of MSI-high colon cancers which lack characteristic morphological features and have an associated worse prognosis.ConclusionsIn summary, reporting on H&E staining of selected microscopic features of the tumour microenvironment, independently or in combination, offers valuable prognostic information in stage II/III colon cancer and may allow morphological correlation with developing molecular classifications of prognostic and predictive relevance.

Tissue microarrays (TMAs) represent a powerful method for undertaking large-scale tissue-based biomarker studies. While TMAs offer several advantages, there are a number of issues specific to their use which need to be considered when employing this method. Given the investment in TMA-based research, guidance on design and execution of experiments will be of benefit and should help researchers new to TMA-based studies to avoid known pitfalls. Furthermore, a consensus on quality standards for TMA-based experiments should improve the robustness and reproducibility of studies, thereby increasing the likelihood of identifying clinically useful biomarkers. In order to address these issues, the National Cancer Research Institute Biomarker and Imaging Clinical Studies Group organized a 1-day TMA workshop held in Nottingham in May 2012. The document herein summarizes the conclusions from the workshop. It includes guidance and considerations on all aspects of TMA-based research, including the pre-analytical stages of experimental design, the analytical stages of data acquisition, and the postanalytical stages of data analysis. A checklist is presented which can be used both for planning a TMA experiment and interpreting the results of such an experiment. For studies of cancer biomarkers, this checklist could be used as a supplement to the REMARK guidelines.

Subramaniam M M, Chan J Y, Omar M F M, Ito K, Ito Y, Yeoh K G, Salto-Tellez M & Putti T C (2010) Histopathology57, 555–563 Lack of RUNX3 inactivation in columnar cell lesions of breast Aims: Ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) exhibit frequent RUNX3 inactivation by promoter hypermethylation and protein mislocalization. The aim of this study was to analyse columnar cell lesions (CCLs) to further characterize RUNX3 involvement in breast carcinogenesis. Methods and results: RUNX3 expression and methylation was analysed by immunohistochemistry and methylation-specific polymerase chain reaction (PCR), respectively, in 75 CCLs. Our previously reported DCIS and IDC data were also included. Consistent with terminal duct lobular units (TDLUs) (73 of 75, 97%), active nuclear RUNX3 protein was observed in 73 of 75 (97%) CCLs [columnar cell change, 46 of 48 (96%); columnar cell hyperplasia, 12 of 12 (100%) and flat epithelial atypia, 15 of 15 (100%). In contrast to matched TDLUs from cancer specimens [four of 40 (10%)] and CCLs, significantly inactivated RUNX3 expression was detected in DCIS [17 of 20 (85%)] and IDC [18 of 20 (90%)] (all P < 0.001). RUNX3 methylation was more frequent in DCIS [15 of 20 (75%)] and IDC [16 of 20 (80%)] than CCLs [(none of 20 (0%)] and matched TDLUs [one of 10 (10%)] from cancer patients (all P < 0.001). Conclusions: RUNX3 inactivation occurs specifically in DCIS and IDC cells. In addition, RUNX3 inactivation may not be a common association between CCLs and breast carcinomas.

Aims Adult granulosa cell tumours (AGCTs) are uncommon ovarian sex cord–stromal tumours which recur following surgical removal in up to 50% of patients. Treatment options for recurrent and advanced stage AGCTs are limited, with poor response to chemotherapy and radiotherapy. We aimed to assess epidermal growth factor receptor (EGFR), HER2 and insulin-like growth factor-1 receptor (IGF-1R) status in AGCTs with a view to investigating whether or not these receptors might be potential therapeutic targets in these neoplasms. Methods and results Immunohistochemical staining for EGFR, HER2 and IGF-1R was undertaken in 31 AGCTs. Tumour DNA was also analysed for mutations in the tyrosine kinase domain of EGFR (exons 18–21) by Cobas mutation RT–PCR. Twenty-three of 31 (74%) AGCTs showed some degree of EGFR expression, generally with cytoplasmic or mixed membranous and cytoplasmic staining of variable intensity. Eleven of 27 (41%) cases exhibited strong membranous and cytoplasmic expression of IGF-1R. HER2 expression was not seen. No mutations were found in exons 18–21 of the EGFR gene in hot-spots of therapeutic relevance. Conclusions This study raises the possibility that anti-EGFR and/or anti-IGF-1R therapies may be of potential benefit in ovarian AGCTs, and this requires further study. Lack of known mutations within the tyrosine kinase domain of EGFR suggests that EGFR-related tyrosine kinase inhibitors may not be useful therapeutically.

Ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) exhibit frequent RUNX3 inactivation by promoter hypermethylation and protein mislocalization. The aim of this study was to analyse columnar cell lesions (CCLs) to further characterize RUNX3 involvement in breast carcinogenesis. RUNX3 expression and methylation was analysed by immunohistochemistry and methylation-specific polymerase chain reaction (PCR), respectively, in 75 CCLs. Our previously reported DCIS and IDC data were also included. Consistent with terminal duct lobular units (TDLUs) (73 of 75, 97%), active nuclear RUNX3 protein was observed in 73 of 75 (97%) CCLs [columnar cell change, 46 of 48 (96%); columnar cell hyperplasia, 12 of 12 (100%) and flat epithelial atypia, 15 of 15 (100%). In contrast to matched TDLUs from cancer specimens [four of 40 (10%)] and CCLs, significantly inactivated RUNX3 expression was detected in DCIS [17 of 20 (85%)] and IDC [18 of 20 (90%)] (all P0.001). RUNX3 methylation was more frequent in DCIS [15 of 20 (75%)] and IDC [16 of 20 (80%)] than CCLs [(none of 20 (0%)] and matched TDLUs [one of 10 (10%)] from cancer patients (all P0.001). RUNX3 inactivation occurs specifically in DCIS and IDC cells. In addition, RUNX3 inactivation may not be a common association between CCLs and breast carcinomas.

Ong C W, Kim L G, Kong H H, Low L Y, Wang T T, Supriya S, Kathiresan M, Soong R & Salto-Tellez M (2010) Histopathology56, 523–529 Computer-assisted pathological immunohistochemistry scoring is more time-effective than conventional scoring, but provides no analytical advantage Aims: Interpretation of immunohistochemistry is primarily done through human visual scoring while computer-assisted scoring is relatively uncommon. This study aimed to examine (i) the level of agreement between human visual and computer-assisted pathological scoring of immunoreactivity expression in colorectal cancers, (ii) whether computer-assisted scoring affects the prognostic significance of biomarkers, and (iii) whether computer-assisted pathological scoring provides any time-saving or reproducibility advantages. Methods and results: Tissue microarray blocks were constructed from the primary colorectal adenocarcinoma specimens of 486 patients. Scoring of the six markers [cytokeratin (CK) 7, CK20, cyclooxygenase-2, Ki67, p27 and p53] was done independently by a qualified pathologist, a trained scientist and the Ariol SL-50 (Applied Imaging). Univariate analysis showed that human visual and computer-assisted scoring were strongly correlated (all κ values >0.8). Both human visual and computer-assisted pathological scoring identified the same set of biomarkers with significant association with survival. Computer-assisted pathological scoring was shown to be a time-effective means of scoring larger numbers of slides (for high-throughput studies). Conclusions: Our results suggest that computer-assisted pathological scoring can be a viable alternative to pathologist scoring in a manner that is more practical and time-effective, but, interestingly, providing no analytical advantage.