First contributors in the history of leukemia

History of Leukemia, Revisited

PURPOSE OF THE REVIEW

Provide a general historical overview of leukemia, emphasizing the early discoveries that led to its characterization.

RECENT FINDINGS

Leukemia recognition began in the late 19th century with the advent of the microscope. Leeuwenhoek and Swammerdam described erythrocytes, while Lieutaud first observed globuli albicantes, later identified as lymphocytes by Hewson. Early case studies by Velpeau, Donné, Bennett, Craigie, Virchow, and Fuller suggested that leukocytosis could occur without infection. Virchow coined the term "leukemia," while Bennett proposed "leucocythemia." Neumann identified the bone marrow as the source of blood cells and leukemia, coining the term "myelogenous leukemia," and Ehrlich classified leukemia into myeloid and lymphoid types. In 1914, Boveri linked chromosomal abnormalities to cancer, and in 1960, Nowell and Hungerford discovered the Philadelphia chromosome. The use of mustard gas in WWI led to the development of chemotherapy drugs like chlorambucil and busulfan. The Human Genome Project further advanced leukemia diagnosis and treatment. Leukemia, like many diseases, has evolved due to changes in causative factors such as viruses, bacteria, and genetic mutations, which have impacted its pathogenesis and treatment. It will undoubtedly continue to evolve, with new scientists working towards a cure for this devastating disease.

Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set

A data set of >170 000 microscopic images allows training neural networks for identification of BM cells with high accuracy.

Neural networks outperform a feature-based approach to BM cell classification and can be analyzed with explainability and feature embedding methods.

Biomedical applications of deep learning algorithms rely on large expert annotated data sets. The classification of bone marrow (BM) cell cytomorphology, an important cornerstone of hematological diagnosis, is still done manually thousands of times every day because of a lack of data sets and trained models. We applied convolutional neural networks (CNNs) to a large data set of 171 374 microscopic cytological images taken from BM smears from 945 patients diagnosed with a variety of hematological diseases. The data set is the largest expert-annotated pool of BM cytology images available in the literature. It allows us to train high-quality classifiers of leukocyte cytomorphology that identify a wide range of diagnostically relevant cell species with high precision and recall. Our CNNs outcompete previous feature-based approaches and provide a proof-of-concept for the classification problem of single BM cells. This study is a step toward automated evaluation of BM cell morphology using state-of-the-art image-classification algorithms. The underlying data set represents an educational resource, as well as a reference for future artificial intelligence–based approaches to BM cytomorphology.

When Cancer Is the Self: An Interpretive Description of the Experience of Identity by Hematology Cancer Patients

BACKGROUND

The term "cancer" is imbued with identity signals that trigger certain assumed sociocultural responses. Clinical practice with hematological cancer patients suggests the experience of these patients may be different than that of solid tumor cancer patients.

OBJECTIVE

We sought to explore the research question: How are identity experiences described and elucidated by adult hematological cancer patients?

METHODS

This qualitative study was guided by interpretive description as the methodological framework.

RESULTS

Preexisting identity labels and assumptions assigned to the overarching "cancer" diagnosis were viewed by patients as entirely inadequate to fully describe and inform their experience. Instead, findings revealed the propensity of adult hematology oncology patients to co-create and enact new identities increasingly reflective of the nonlocalized nature of their cancer subtype. Three themes that arose from the data included the unique cancer-self, the invasion of cancer opposed to self, and the personification of the cancer within self.

CONCLUSIONS

Hematology oncology patients experience and claim a postdiagnosis identity that is self-described as distinct and highly specialized, and are distinct to solid tumor patients in aspects of systemic and total consumption of the self. This uniqueness is extended to the specific hematological cancer subtype down to genetics, indicating a strong "new" sense of self.

IMPLICATIONS FOR PRACTICE

The manner in which hematology oncology patients in this study embraced notions of transformed self and isolating uniqueness provides practitioners with a lens through which new and innovative interventions can be constructed to improve patient care and psychosocial outcomes.

Paul Ehrlich and the Early History of Granulocytes

Paul Ehrlich's techniques, published between 1879 and 1880, for staining blood films using coal tar dyes, and his method of differential blood cell counting, ended years of speculation regarding the classification of white cells. Acidic and basic dyes had allowed him to recognize eosinophil and basophil granules, respectively, work that was a direct continuation of his discovery of the tissue mast cell described in his doctoral thesis. Ehrlich went on to develop neutral dyes that identified epsilon granules in neutrophils ("cells with polymorphous nuclei"). He also speculated, for the most part correctly, on the formation, function, and fate of blood neutrophils and eosinophils. Before Ehrlich, a number of important observations had been made on white cells and their role in health and disease. Among the most notable were William Hewson's studies of blood and lymph; the early descriptions of leukemia by Alfred Donné, John Hughes Bennett, Rudolf Virchow, and others; as well as seminal observations on inflammation by William Addison, Friedrich von Recklinghausen, and Julius Cohnheim. Eosinophils were almost certainly recognized previously by others. In 1846, Thomas Wharton Jones (1808-1891) described "granule blood-cells" in several species including humans. The term "granule cell" had also been used by Julius Vogel (1814-1880), who had previously observed similar cells in inflammatory exudates. Vogel, in turn, was aware of the work of Gottlieb Gluge (1812-1898), who had observed "compound inflammatory globules" in pus and serum that resembled eosinophils. Almost 20 years before Ehrlich developed his staining methods, Max Johann Schultze (1825-1874) performed functional experiments on fine and coarse granular cells using a warm stage microscopic technique and showed they had amoeboid movement and phagocytic abilities. Despite these earlier observations, it was Ehrlich's use of stains that heralded the modern era of studies of leukocyte biology and pathology.