Expression of Surface-associated 82 kDa proMMP-9 in Lymphatic Leukemia Blast Cells Differentially Correlates With Prognosis

BACKGROUND/AIM

Matrix metalloproteinases (MMPs) degrade extracellular matrix and process regulatory proteins. Recently, a membrane-bound 82kDa variant of proMMP-9 identified on myeloid blasts was shown to be associated with prognosis.

PATIENTS AND METHODS

To investigate the role of 82kDa proMMP-9 with acute lymphoblastic leukemia (ALL) and chronic lymphoid leukemia (CLL), we performed flow-cytometry analysis of expression on ALL blasts (n=18) and CLL lymphocytes (n=21) from blood and correlated data with clinical parameters.

RESULTS

In ALL, mature B-linear blasts expressed higher levels of 82kDa proMMP-9 compared to T-linear blasts. Elevated levels of 82kDa proMMP-9 were found in elderly patients and at patients with relapse. No correlation was observed on blood cells and extramedullary disease. In CLL, the 82kDa proMMP-9 expression did not correlate with any of the clinical parameters.

CONCLUSION

Our findings suggest that higher levels of 82kDa proMMP-9 expression on blast cells may correlate with a more unfavorable ALL-subtype. Further studies are required to clarify the prognostic role of the 82kDa pro-MMP-9 expression.

Deep learning for diagnosis and survival prediction in soft tissue sarcoma

BACKGROUND

Clinical management of soft tissue sarcoma (STS) is particularly challenging. Here, we used digital pathology and deep learning (DL) for diagnosis and prognosis prediction of STS.

PATIENTS AND METHODS

Our retrospective, multicenter study included a total of 506 histopathological slides from 291 patients with STS. The Cancer Genome Atlas cohort (240 patients) served as training and validation set. A second, multicenter cohort (51 patients) served as an additional test set. The use of the DL model (DLM) as a clinical decision support system was evaluated by nine pathologists with different levels of expertise. For prognosis prediction, 139 slides from 85 patients with leiomyosarcoma (LMS) were used. Area under the receiver operating characteristic (AUROC) and accuracy served as main outcome measures.

RESULTS

The DLM achieved a mean AUROC of 0.97 (±0.01) and an accuracy of 79.9% (±6.1%) in diagnosing the five most common STS subtypes. The DLM significantly improved the accuracy of the pathologists from 46.3% (±15.5%) to 87.1% (±11.1%). Furthermore, they were significantly faster and more certain in their diagnosis. In LMS, the mean AUROC in predicting the disease-specific survival status was 0.91 (±0.1) and the accuracy was 88.9% (±9.9%). Cox regression showed the DLM's prediction to be a significant independent prognostic factor (P = 0.008, hazard ratio 5.5, 95% confidence interval 1.56-19.7) in these patients, outperforming other risk factors.

CONCLUSIONS

DL can be used to accurately diagnose frequent subtypes of STS from conventional histopathological slides. It might be used for prognosis prediction in LMS, the most prevalent STS subtype in our cohort. It can also help pathologists to make faster and more accurate diagnoses. This could substantially improve the clinical management of STS patients.

[Histological subtypes of renal cell carcinoma : Overview and new developments]

BACKGROUND

The classification of renal cell carcinoma (RCC) has changed remarkably in recent years.

OBJECTIVES

This is a short overview of the classification of RCC, focusing on new developments.

MATERIALS AND METHODS

A literature search was performed resulting in an overview of the classification of RCC. Emerging entities were discussed in detail.

RESULTS

Apart from the RCC subtypes in the WHO classification of 2016, several emerging entities came up over the last few years that are characterized by typical morphology, immunophenotype, and especially specific genetic alterations.

CONCLUSION

Precise classification of RCC is the key to better prognostic assessment with potential tumor-specific therapy and plays an important role in the recognition of possible association with hereditary tumor syndromes.

Chocolate ingestion in 156 dogs

OBJECTIVES

To describe the clinical features and outcome of dogs after chocolate ingestion.

MATERIAL AND METHODS

Retrospective evaluation of clinical signs, clinical pathological findings, therapy and outcome of 156 dogs after chocolate ingestion. The concentration of methylxanthines (theobromine, caffeine) was calculated based on the type of chocolate and the amount ingested.

RESULTS

One hundred and twelve dogs had no clinical signs. Forty-four dogs had clinical signs of chocolate intoxication. Twenty-eight of these 44 dogs ingested dark and bitter chocolate. Reasons for presentation were agitation (33), tremor (22), vomiting (21), panting (11), polyuria/polydipsia (seven) and diarrhea (two). Common clinical findings were sinus tachycardia (28), tachypnea/panting (14), hyperthermia (10) and dehydration (seven). Clinical pathological findings in 34 of 44 dogs consisted of hyperlactataemia (23), hypokalaemia (16), mild hyperglycaemia (16) and mild alanine aminotransferase (ALT) and aspartate aminotransferase (AST) elevation (14). After decontamination (apomorphine, activated carbon) and symptomatic treatment (fluid therapy, esmolol, forced diuresis, sedatives), 43 of the 44 dogs survived.

CLINICAL SIGNIFICANCE

In dogs with potential chocolate intoxication, the type and amount of chocolate and the time of ingestion are important factors. Cardiovascular, neurological and gastrointestinal signs are the most common clinical signs. In this case series, the prognosis after decontamination and symptomatic therapy was good, with a mortality rate of less than 3%.

COVID-19 effects on the kidney

Apart from pulmonary disease, acute kidney injury (AKI) is one of the most frequent and most severe organ complications in severe coronavirus disease 2019 (COVID-19). The SARS-CoV‑2 virus has been detected in renal tissue. Patients with chronic kidney disease (CKD) before and on dialysis and specifically renal transplant patients represent a particularly vulnerable population. The increasing number of COVID-19 infected patients with renal involvement led to an evolving interest in the analysis of its pathophysiology, morphology and modes of virus detection in the kidney. Meanwhile, there are ample data from several autopsy and kidney biopsy studies that differ in the quantity of cases as well as in their quality. While the detection of SARS-CoV‑2 RNA in the kidney leads to reproducible results, the use of electron microscopy for visualisation of the virus is difficult and currently critically discussed due to various artefacts. The exact contribution of indirect or direct effects on the kidney in COVID-19 are not yet known and are currently the focus of intensive research.

[COVID-19 effects on the kidney]

Bei einer schweren Coronavirus-Erkrankung-2019 (COVID-19) ist neben der Lungenerkrankung selbst das akute Nierenversagen (ANV) eine der häufigsten und schwerwiegendsten Komplikationen. Das SARS-CoV-2-Virus konnte hierbei auch in der Niere nachgewiesen werden. Patienten mit chronischen Nierenerkrankungen (CKD), dialysepflichtige sowie v. a. nierentransplantierte Patienten scheinen eine besonders vulnerable Population darzustellen. Die zunehmende Anzahl SARS-CoV-2-infizierter Patienten hat das Interesse an der genauen Pathophysiologie und Morphologie der Nierenschädigung sowie am direkten Virusnachweis in der Niere geweckt, der im Gegensatz zur Lunge insgesamt schwieriger zu führen ist. Hierzu liegen mittlerweile Daten aus Autopsie- und Nierenbiopsiestudien mit unterschiedlichen Patientenzahlen und von sehr unterschiedlicher Qualität vor. Während der Nachweis von SARS-CoV-2-RNA im Nierengewebe mit gut reproduzierbaren Ergebnissen erfolgt, ist insbesondere der Virusnachweis mittels Elektronenmikroskopie schwierig und wird aufgrund zahlreicher Artefakte derzeit kritisch diskutiert. Die genauen direkten oder indirekten Effekte von SARS-CoV‑2 auf die Niere sind noch nicht im Detail bekannt und derzeit der Fokus intensiver Forschung.