Pathology最新文献

Forecasting COVID-19 waves helps with public health planning and resource allocation. Cycle threshold (Ct) values obtained from positive SARS-CoV-2 nucleic acid amplification test (NAAT) results offer limited value for individual patient management, but real-time analysis of temporal trends of aggregated Ct values may provide helpful information to predict the trajectories of COVID-19 waves in the community. Ct value trends on 59,609 SARS-CoV-2 NAAT-positive results from 574,403 tests using a single testing assay system, between September 2021 and January 2023, were examined to monitor the trend of the proportion of positive NAAT with lower Ct values (≤28) in relation to changing COVID-19 case numbers over time. We applied regression with autoregressive integrated moving average errors modelling approach to study the relation between Ct values and case counts. We also developed an insight product to monitor the temporal trends with Ct values obtained from SARS-CoV-2 NAAT-positive results. In this study, the proportion of lower Ct values preceded by a range of 7–32 days the rising population COVID-19 testing rate reflecting onset of a COVID-19 wave. Monitoring population Ct values may assist in predicting increased disease activity.

DNA sequencing of tumour tissue has become the standard care for many solid cancers because of the option to detect somatic variants that have significant therapeutic, diagnostic and prognostic implications. Variants found within the tumour may be either somatic or germline in origin. Somatic cancer gene panels are developed to detect acquired (somatic) variants that are relevant for therapeutic or molecular characterisation of the tumour, expanding gene panels now include genes which may also inform patient management such as cancer predisposition syndromes (CPS) genes. Identifying germline cancer predisposition variants can alter cancer management, the risk of developing new primary cancers and risk for cancer in at-risk family members. This paper discusses the clinical, technical and ethical challenges related to identifying and reporting potential germline pathogenic variants that are detected on tumour sequencing. It also highlights the existence of the eviQ national guidelines for CPS with advice on germline confirmation of somatic findings to pathology laboratories in Australia.

This study explored the relationship between faecal microbiota distribution and local or systemic immune response in patients with colorectal cancer (CRC).

The study population included 114 surgically treated CRC patients. Faeces were analysed using 16S rRNA gene sequencing. The immune score in tumour microenvironment was evaluated using CD3 and CD8 immunohistochemistry. Genetic alterations, microsatellite instability status and five systemic inflammatory markers were also analysed.

Thirty of 114 (26.3%) CRC patients were categorised as the ‘immune type’ with a high density of T-cells. The immune type CRC cases showed lower angiolymphatic invasion and longer overall survival. Of the 123 selected bacterial species, Bacteroides fragilis and Collinsella aerofaciens were prevalent in immune CRC cases, whereas Odoribacter splanchnicus and Phascolarctobacterium succinatutens were prevalent in non-immune CRC patients. Bacteroides fragilis was associated with shorter disease free survival in univariable and multivariable survival analyses. Regarding systemic immunity, a high prevalence of C. aerofaciens was associated with a high modified Glasgow prognostic score.

This study revealed a potential relationship among the gut microbiome, immune microenvironment, and disease progression in patients with CRC. Our findings suggest that abundant B. fragilis in patients with CRC is associated with a ‘cold immune’ tumour microenvironment.

The classification of myeloid neoplasms continues to evolve along with advances in molecular diagnosis, risk stratification and treatment of disease. An approach for disease classification has been grounded in international consensus that has facilitated understanding, identification and management of molecularly heterogeneous entities, as well as enabled consistent patient stratification into clinical trials and clinical registries over time. The new World Health Organization (WHO) and International Consensus Classification (ICC) Clinical Advisory Committee releasing separate classification systems for myeloid neoplasms in 2022 precipitated some concern amongst haematopathology colleagues both locally and internationally. While both classifications emphasise molecular disease classification over the historical use of morphology, flow cytometry and cytogenetic based diagnostic methods, notable differences exist in how morphological, molecular and cytogenetic criteria are applied for defining myelodysplastic neoplasms (MDS) and acute myeloid leukaemias (AML). Here we review the conceptual advances, diagnostic nuances, and molecular platforms required for the diagnosis of MDS and AML using the new WHO and ICC 2022 classifications. We provide consensus recommendations for reporting bone marrow biopsies. Additionally, we address the logistical challenges encountered implementing these changes into routine laboratory practice in alignment with the National Pathology Accreditation Advisory Council reporting requirements for Australia and New Zealand.