
pmid: 1743592
handle: 2108/161064
Clinical data indicate that AL are heterogeneous diseases with variable responsiveness to chemotherapeutic agents. Based on this evidence, the efforts of most investigators are aimed at providing rapid identification of AL features predictive of distinct prognostic outcomes. A considerable number of reagents (including MoAb and molecular probes) available from commercial sources has been widely used for diagnostic purpose, leading to the identification of "inappropriate" antigen expression and to diagnoses of "mixed" AL (M-AL). The latter still lacks adequate definition and identification criteria, but is frequently reported as a novel entity associated with poor clinical outcome. The use of more accurate methodologic approaches, as well as a better elucidation of normal hemopoietic cell characteristics suggest that true M-AL occur quite rarely: the features of normal precursor counterparts are more frequently conserved. "Ectopic" marker expression, however, which should not be interpreted as reflecting lineage infidelity, may in some instances explain different clinical courses in AL patients. Further elucidation of normal stem cell features, and adequate standardization of AL immunophenotyping--to be performed under proper technical conditions--are needed for a better evaluation of M-AL, both in terms of diagnosis and classification, as well as regarding their clinical significance.
Prognosi, 610, Acute Disease; Antigens, Differentiation; Antigens, Neoplasm; Biomarkers, Tumor; Clone Cells; Gene Rearrangement, B-Lymphocyte; Gene Rearrangement, T-Lymphocyte; Genes, Immunoglobulin; Hematopoietic Stem Cells; Humans; Immunophenotyping; Incidence; Leukemia; Neoplasm Proteins; Neoplastic Stem Cells; Prognosis; Terminology as Topic, Gene Rearrangement, T-Lymphocyte, Immunophenotyping, Neoplasm Protein, Clone Cell, Antigens, Neoplasm, Terminology as Topic, Immunoglobulin, Biomarkers, Tumor, Humans, Antigens, Gene Rearrangement, B-Lymphocyte, Gene Rearrangement, Tumor, Leukemia, Genes, Immunoglobulin, Incidence, B-Lymphocyte, Hematopoietic Stem Cell, Hematopoietic Stem Cells, Prognosis, Antigens, Differentiation, Clone Cells, Neoplasm Proteins, Settore MED/15 - MALATTIE DEL SANGUE, T-Lymphocyte, Genes, Differentiation, Acute Disease, Neoplastic Stem Cells, Neoplasm, Neoplastic Stem Cell, Biomarkers, Human
Prognosi, 610, Acute Disease; Antigens, Differentiation; Antigens, Neoplasm; Biomarkers, Tumor; Clone Cells; Gene Rearrangement, B-Lymphocyte; Gene Rearrangement, T-Lymphocyte; Genes, Immunoglobulin; Hematopoietic Stem Cells; Humans; Immunophenotyping; Incidence; Leukemia; Neoplasm Proteins; Neoplastic Stem Cells; Prognosis; Terminology as Topic, Gene Rearrangement, T-Lymphocyte, Immunophenotyping, Neoplasm Protein, Clone Cell, Antigens, Neoplasm, Terminology as Topic, Immunoglobulin, Biomarkers, Tumor, Humans, Antigens, Gene Rearrangement, B-Lymphocyte, Gene Rearrangement, Tumor, Leukemia, Genes, Immunoglobulin, Incidence, B-Lymphocyte, Hematopoietic Stem Cell, Hematopoietic Stem Cells, Prognosis, Antigens, Differentiation, Clone Cells, Neoplasm Proteins, Settore MED/15 - MALATTIE DEL SANGUE, T-Lymphocyte, Genes, Differentiation, Acute Disease, Neoplastic Stem Cells, Neoplasm, Neoplastic Stem Cell, Biomarkers, Human
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
