Archives of pathology & laboratory medicine最新文献

Context.—: Quality communication between clinicians and pathologists is required for optimal cancer care. The College of American Pathologists provides anatomic site-specific cancer protocols that facilitate synoptic reporting for efficient communication, contributing to accuracy and completeness of cancer staging.

Objective.—: To evaluate synoptic cancer pathology reporting across the Department of Veterans Affairs (VA), the largest integrated health system in the United States, for 4 common cancers: melanoma and colon, bladder, and kidney cancer.

Design.—: For each cancer type, we investigated at least 200 biopsy and 200 resection reports from 2019 to 2021. In each report, we determined whether a synoptic format was used. The reports were selected using random sampling across all VA health care facilities. We also identified a set of core elements that were underdocumented.

Results.—: Among 1618 pathology reports, 778 (48%; 95% CI, 46%-50%) were synoptic reports. Synoptic reporting was much more common among resections (621 of 811; 77%; 95% CI, 74%-79%) than among biopsies (157 of 807; 19%; 95% CI, 17%-22%). It was most common in colorectal resections (200 of 206; 97%; 95% CI, 94%-99%) and least common in colon biopsy reports (1 of 200; 0.5%; 95% CI, 0%-3%). Core elements that were underdocumented included procedure and regional lymph nodes for resections of bladder and kidney cancer and of melanoma.

Conclusions.—: Synoptic reporting was used about three-quarters of the time for resections and about 1 in 5 times for biopsies. Future work should develop implementation strategies to improve synoptic reporting, especially for biopsy specimens and core elements that were relatively underdocumented.

Context.—: Galactose-deficient immunoglobulin A1 (Gd-IgA1) deposition in the renal mesangium plays a role in the pathogenesis of IgA nephropathy.

Objective.—: To assess the serum Gd-IgA1 level in biopsy-proven IgA nephropathy cases at diagnosis and 3 months post treatment and its relation with histologic Oxford classification.

Design.—: In this hospital-based prospective cohort study, 40 cases and 20 controls were enrolled. Serum samples of biopsy-proven IgA nephropathy cases collected on the day of biopsy and 3 months post treatment were evaluated. Solid-phase ELISA (enzyme-linked immunosorbent assay) was performed for assessment of Gd-IgA1 level. All renal biopsies were scored by using the Oxford classification (C-MEST score). The association of serum Gd-IgA1 levels with other established prognostic parameters was assessed. To estimate the prognostic value of markers, logistic regression analysis and Kruskal-Wallis ANOVA (analysis of variance) were used.

Results.—: A significant difference was observed in the serum Gd-IgA1 level values in the IgA nephropathy cases and healthy controls (P = .001) at baseline. However, no significant correlation between serum Gd-IgA1 levels at baseline and 3 months of follow-up (P = .31) or between baseline levels and age, proteinuria, hematuria, or estimated glomerular filtration rate was noted. There was no significant correlation between C-MEST score and serum Gd-IgA1 levels at baseline (P > .05); however, the distribution of Gd-IgA1 at 3 months was found to differ significantly between different grades of S score (P = .008).

Conclusions.—: Serum Gd-IgA1 levels may be of utility in predicting disease progression in IgA nephropathy cases. Measurement of serum Gd-IgA1 levels for the diagnosis and prognosis of IgA nephropathy may preclude the need for invasive renal biopsies.

Context.—: Folate receptor-α (FRα, encoded by the FOLR1 gene) is overexpressed in several solid tumor types, including epithelial ovarian cancer (EOC), making it an attractive biomarker and target for FRα-based therapy in ovarian cancer.

Objective.—: To describe the development, analytic verification, and clinical performance of the VENTANA FOLR1 Assay (Ventana Medical Systems Inc) in EOC.

Design.—: We used industry standard studies to establish the analytic verification of the VENTANA FOLR1 Assay. Furthermore, the VENTANA FOLR1 Assay was used in the ImmunoGen Inc-sponsored SORAYA study to select patients for treatment with mirvetuximab soravtansine (MIRV) in platinum-resistant EOC.

Results.—: The VENTANA FOLR1 Assay is highly reproducible, demonstrated by a greater than 98% overall percent agreement (OPA) for repeatability and intermediate precision studies, greater than 93% OPA for interreader and greater than 96% for intrareader studies, and greater than 90% OPA across all observations in the interlaboratory reproducibility study. The performance of the VENTANA FOLR1 Assay in the SORAYA study was evaluated by the overall staining acceptability rate, which was calculated using the number of patient specimens that were tested with the VENTANA FOLR1 Assay that had an evaluable result. In the SORAYA trial, data in patients who received MIRV demonstrated clinically meaningful efficacy, and the overall staining acceptability rate of the assay was 98.4%, demonstrating that the VENTANA FOLR1 Assay is safe and effective for selecting patients who may benefit from MIRV. Together, these data showed that the assay is highly reliable, consistently producing evaluable results in the clinical setting.

Conclusions.—: The VENTANA FOLR1 Assay is a robust and reproducible assay for detecting FRα expression and identifying a patient population that derived clinically meaningful benefit from MIRV in the SORAYA study.

Context.—: Breast cancers (BCs) with low levels of human epidermal growth factor receptor 2 (HER2) expression (HER2-low) have become a targetable subset because of novel antibody-drug conjugates. HER2 immunohistochemistry (IHC) is the recommended assay for HER2 classification but is associated with limited interobserver agreement concerning HER2-low identification.

Objective.—: To investigate whether mRNA expression quantified via quantitative reverse transcription-polymerase chain reaction (RT-qPCR) could serve as a valuable complementary and more objective method to identify HER2-low BCs.

Design.—: We selected all cases from a previously published interobserver study, which included 105 needle biopsies from HER2 nonamplified BC cases. HER2 IHC was evaluated by 16 pathologists. For the current study, mRNA was extracted from microdissected invasive tumor cells. RT-qPCR was performed for quantitative evaluation of HER2, using the cutoff values of the MammaTyper assay. We compared the mRNA expression levels with the IHC scores of the majority agreement (IHC 0, IHC >0, <1+ [ultralow], 1+, 2+) and the following HER2 subcategories: HER2 0/ultralow and HER2-low (IHC 1+ and 2+/fluorescence in situ hybridization negative).

Results.—: In total, 88 nonamplified HER2 cases could be analyzed. Based on IHC, 17 cases were HER2 0/ultralow and 71 were HER2-low. The mean rank HER2 mRNA level was significantly higher in HER2-low cases than in the HER2 0/ultralow group (P < .001). However, 10 of 17 HER2 0/ultralow cases by IHC (58.8%) were classified as HER2-low by MammaTyper, 2 of 71 cases (2.8%) were HER2-low by IHC and HER2 0/ultralow by MammaTyper, and 2 (2.8%) were HER2-low by IHC and HER2-positive by RP-qPCR.

Conclusions.—: Our findings indicate a strong agreement between mRNA expression quantified by RT-qPCR and HER2 IHC scores, although there was a substantial proportion of discordant HER2 results between both methods owing to overestimation of HER2 expression by MammaTyper compared to IHC. Future large-scale trials should determine which technique is best associated with clinical outcome.

Context.—: Seegene Medical Foundation, one of the major clinical laboratories in South Korea, developed SeeDP, an artificial intelligence (AI)-based postanalytic daily quality control (QC) system that reassesses all gastrointestinal (GI) endoscopic biopsy (EB) slides for incorrect diagnoses.

Objective.—: To review the operational records and clinical impact of SeeDP since its launch in March 2022.

Design.—: Operational records of SeeDP were retrieved for the period of March 1, 2022, to February 28, 2023. Among cases scanned during 40 working days (March 10, 2022, to May 4, 2022), all discordant cases encountered by 2 pathologists were reviewed. Cases of SeeDP-assisted revised diagnoses were collected and compared with cases recognized using conventional methods.

Results.—: Occasional scanner failures and various types of aberrant errors compromised QC coverage, resulting in the scanning of only 67.7% (572 254 of 844 906) of all EB slides submitted and 0.8% of the scanned slides being further excluded from the AI analysis. The AI predictions differed from the pathologists' diagnoses in 42 760 of the 557 672 gastrointestinal EB slides (7.7%) successfully assessed by the AI models; however, a detailed review of discordant slides revealed that true misdiagnosis accounted for only 5.5% (25 of 454) of the disagreements. Compared with conventional error recognition methods, SeeDP detected more misdiagnoses (7 versus 14) within a significantly shorter time (average, 3.6 versus 38.7 days; P < .001), including 1 signet ring cell carcinoma initially diagnosed as gastritis.

Conclusions.—: AI-based daily QC systems are plausible solutions to guarantee high-quality pathologic diagnosis by enabling rapid detection and correction of misdiagnosis.

Context.—: Recent neoadjuvant clinical trials in lung cancer have demonstrated the survival benefits in carefully selected patients. Standardization of the assessment of pathologic response to neoadjuvant therapy in surgically resected specimens is required.

Objective.—: To review the current pathology practices in the gross processing and microscopic assessment of surgically resected non-small cell lung carcinoma specimens after neoadjuvant therapy.

Data sources.—: PubMed publications and experience of the author.

Conclusions.—: Gross processing of the surgically resected lung carcinoma after neoadjuvant therapy needs further refinement and standardization in clinical trials and in a real-world clinical practice. Microscopic assessment of the response includes quantification of viable tumor, necrosis, and stroma. The best approach would be to use a single standardized and most reproducible scoring system. Published studies on gross processing of lung carcinoma specimens in the neoadjuvant setting and microscopic assessment of pathologic response provide a good foundation for the future standardization of pathology practice.

Context.—: Biomedical research relies on available biomaterials and associated data, and the quality of this starting material can have a significant impact on the quality of the experimental results. In the 2000s, best-practice documents and guidelines for biorepositories were published, followed in the 2010s by standards documents used to support accreditation. The College of American Pathologists Biorepository Accreditation Program and the International Standards Organization's standard 20387 were launched in 2012 and 2018, respectively.

Objective.—: To identify quantitative and qualitative differences between the two aforementioned biorepository accreditation standards for use by the larger biomedical research community; the results will empower biorepositories to select an accreditation program that best fits their goals.

Design.—: Individual requirements of both accreditation standards were identified and a bidirectional crosswalk was performed to identify gaps. Requirements were assigned to one of several standardized categories to enable comparison of the relative emphasis of different categories between the standards.

Results.—: Quantitatively, the College of American Pathologists program is comprehensive and stands alone, with 523 requirements, whereas the International Standards Organization program contains 167 requirements and is comprehensive through its incorporation and reference to numerous related standards documents. Qualitatively, both programs rely heavily on the implementation of an overarching quality management system and both programs can accommodate different types of biobanks (eg, human and animal).

Conclusions.—: The standards differ in number of requirements, distribution of requirements across categories, and amount of reliance on separate standard documents. This information may aid in selection of an appropriate accreditation standard.

Context.—: Diagnostic strategies for endometrial cancer have been evolving, with cytologic analysis being considered a key method in integrated oncologic diagnostics because of its less invasive nature and adaptability to various assessments. Liquid-based cytology (LBC) has emerged as a promising method for intact DNA preservation; it exhibits improved efficiency in advanced sequencing applications such as next-generation sequencing. However, despite the use of LBC in panel assays, its application in whole-exome sequencing (WES) for comprehensive genomic profiling remains underexplored.

Objective.—: To investigate whether molecular classification is possible based on WES using DNA derived from LBC specimens.

Design.—: We combined WES with targeted gene panel analysis to compare genomic findings of LBC and traditional tissue samples obtained from 7 cases of endometrial cancer. We investigated pathogenic mutations, tumor mutational burden, and microsatellite instability, and achieved molecular classification with high accuracy.

Results.—: We found a substantial concordance between LBC and traditional tissue samples in terms of pathogenic mutation detection, with a 95% match in the LBC samples and 94% in the tissue samples. Notably, our results highlight the importance of combining WES with panel-based analysis in identifying the ultramutated status of a case that had been missed during panel analysis.

Conclusions.—: Our findings emphasize the potential of LBC samples in the precise and noninvasive genomic analysis of cases of endometrial cancer and offer a new avenue for developing diagnostic and therapeutic strategies in precision oncology.

Context.—: Coronavirus disease 2019 (COVID) primarily affects the lung and can lead to chronic/post-COVID syndrome. Some insights about late pulmonary changes occurring in patients recovering from COVID have been published, but the evidence of detailed pathologic changes coming from follow-up care patients with long COVID is limited.

Objective.—: To evaluate tissue morphologic and viral features in transbronchial biopsies of long COVID patients (immunocompetent and immunocompromised).

Design.—: This retrospective observational study included 18 patients (9 immunocompetent and 9 immunocompromised) who were consecutively referred to outpatient clinic for post-COVID pneumonia, undergoing transbronchial biopsy. Several histologic changes were analyzed by computer-assisted morphometric analysis. As organizing pneumonia (OP) was consistently detected, fibrosis and inflammation were also evaluated in transbronchial biopsies from 28 control patients with histologic confirmation of OP. Tissue SARS-CoV-2 and the subgenomic transcripts were investigated. Morphologic findings were correlated with clinical and radiologic data.

Results.—: Long COVID patients showed lower inflammation than controls (P < .001) despite a similar fibrotic extension. When considering separately the 2 long COVID groups, the same inflammatory infiltrate extension was found, whereas a higher fibrotic remodeling characterized the immunocompetent subgroup (P = .05). Molecular investigation showed that SARS-CoV-2 was present in tissue samples obtained from 3 long COVID patients.

Conclusions.—: Long COVID patients showed a peculiar OP pattern, with more vascular and fibrotic changes. SARS-CoV-2 RNA, even in replicative status, can be detected in lung biopsies of both immunocompetent and immunocompromised patients. This pilot study is a forerunner of more in-depth lung tissue investigations to gain a better understanding of long COVID pathobiology.

Context.—: Generative artificial intelligence (GAI) technologies are likely to dramatically impact health care workflows in clinical pathology (CP). Applications in CP include education, data mining, decision support, result summaries, and patient trend assessments.

Objective.—: To review use cases of GAI in CP, with a particular focus on large language models. Specific examples are provided for the applications of GAI in the subspecialties of clinical chemistry, microbiology, hematopathology, and molecular diagnostics. Additionally, the review addresses potential pitfalls of GAI paradigms.

Data sources.—: Current literature on GAI in health care was reviewed broadly. The use case scenarios for each CP subspecialty review common data sources generated in each subspecialty. The potential for utilization of CP data in the GAI context was subsequently assessed, focusing on issues such as future reporting paradigms, impact on quality metrics, and potential for translational research activities.

Conclusions.—: GAI is a powerful tool with the potential to revolutionize health care for patients and practitioners alike. However, GAI must be implemented with much caution considering various shortcomings of the technology such as biases, hallucinations, practical challenges of implementing GAI in existing CP workflows, and end-user acceptance. Human-in-the-loop models of GAI implementation have the potential to revolutionize CP by delivering deeper, meaningful insights into patient outcomes both at an individual and population level.