France Debaugnies, Frank Goetzinger, Fleur Wolff, Francis Impens, Sara Dufour, Delphi Van Haver, Philippe Gottignies, Raphaël La Schiazza, Bhavna Mahadeb, Nathalie Meuleman, Carole Nagant, Laurence Rozen, Patricia Borde, Francis Corazza
<p>A wide range of conditions, including malignancies, infections, autoimmune autoinflammatory diseases, and more recently described adverse effects of immunotherapies, can trigger a cytokine storm responsible for a devastating dysregulated immune response. Among cytokine storm syndromes, hemophagocytic lymphohistiocytosis (HLH) is a hyperinflammatory hyperferritinemic syndrome resulting from a highly stimulated but ineffective immune response, leading to potentially fatal multiorgan damage [<span>1</span>]. HLH can be suspected based on elevated serum ferritin levels [<span>2, 3</span>] but the very high levels of ferritin specific to hyperinflammatory states are reached when the disease progression is too advanced to be of any clinical use. Among the patients with hyperferritinemia admitted to intensive care units, HLH is found in 1.5% [<span>4</span>]. Other frequently encountered causes of hyperferritinemia in critically ill patients are sepsis, liver diseases, and hematological malignancies, conditions that may either mimic or trigger HLH [<span>5</span>]. As the clinical and laboratory features of HLH and sepsis frequently overlap, a reliable marker to differentiate HLH is needed.</p><p>The human ferritin is a ubiquitous iron-storage protein, composed of 24 subunits with 2 types of peptide chains: light (FeL) or heavy (FeH). The ratio of FeL:FeH subunits varies according to the physiological status of the cell and tissue function [<span>6, 7</span>]. In normal conditions, the serum ferritin is predominantly composed of the L subunit and positively correlated with the size of the total body iron stores [<span>8</span>]. Immunoassays used in clinical laboratories recognize solely the L subunit of ferritin. However, inflammatory conditions have been shown to modulate the relative expression of the H and L subunits of ferritin, with most studied pro-inflammatory stimuli preferentially upregulating FeH synthesis [<span>9</span>]. Increased levels of FeH have been observed in ex vivo models, in bone marrow and liver tissue from patients with HLH [<span>10</span>], and its pro-inflammatory properties have been demonstrated on human macrophage cultures [<span>11</span>]. To our knowledge, quantification of circulating FeH in blood has not yet been reported, especially during acute inflammatory processes [<span>11-13</span>].</p><p>To improve the specificity of ferritin's assay, we used mass spectrometry (MS)-based proteomics to quantify both L-Ferritin (FeL) and H-Ferritin (FeH) in human sera.</p><p>Starting from an untargeted liquid chromatography-tandem MS (LC–MS/MS) analysis, we developed a targeted LC–MS/MS method based on multiple reaction monitoring (MRM).</p><p>First, we performed untargeted shotgun analysis of 6 sera of patients with hyperferritinemia (> 5000 μg/L), to maximize our chances of identifying tryptic signature peptides of FeL and FeH among peptides from other more abundant sera proteins. Among identified peptides, we selected
{"title":"Serum H-Ferritin-To-Ferritin Ratio as a Biomarker of Hemophagocytic Lymphohistiocytosis in Critically Ill Patients With Hyperferritinemia","authors":"France Debaugnies, Frank Goetzinger, Fleur Wolff, Francis Impens, Sara Dufour, Delphi Van Haver, Philippe Gottignies, Raphaël La Schiazza, Bhavna Mahadeb, Nathalie Meuleman, Carole Nagant, Laurence Rozen, Patricia Borde, Francis Corazza","doi":"10.1002/ajh.70189","DOIUrl":"10.1002/ajh.70189","url":null,"abstract":"<p>A wide range of conditions, including malignancies, infections, autoimmune autoinflammatory diseases, and more recently described adverse effects of immunotherapies, can trigger a cytokine storm responsible for a devastating dysregulated immune response. Among cytokine storm syndromes, hemophagocytic lymphohistiocytosis (HLH) is a hyperinflammatory hyperferritinemic syndrome resulting from a highly stimulated but ineffective immune response, leading to potentially fatal multiorgan damage [<span>1</span>]. HLH can be suspected based on elevated serum ferritin levels [<span>2, 3</span>] but the very high levels of ferritin specific to hyperinflammatory states are reached when the disease progression is too advanced to be of any clinical use. Among the patients with hyperferritinemia admitted to intensive care units, HLH is found in 1.5% [<span>4</span>]. Other frequently encountered causes of hyperferritinemia in critically ill patients are sepsis, liver diseases, and hematological malignancies, conditions that may either mimic or trigger HLH [<span>5</span>]. As the clinical and laboratory features of HLH and sepsis frequently overlap, a reliable marker to differentiate HLH is needed.</p><p>The human ferritin is a ubiquitous iron-storage protein, composed of 24 subunits with 2 types of peptide chains: light (FeL) or heavy (FeH). The ratio of FeL:FeH subunits varies according to the physiological status of the cell and tissue function [<span>6, 7</span>]. In normal conditions, the serum ferritin is predominantly composed of the L subunit and positively correlated with the size of the total body iron stores [<span>8</span>]. Immunoassays used in clinical laboratories recognize solely the L subunit of ferritin. However, inflammatory conditions have been shown to modulate the relative expression of the H and L subunits of ferritin, with most studied pro-inflammatory stimuli preferentially upregulating FeH synthesis [<span>9</span>]. Increased levels of FeH have been observed in ex vivo models, in bone marrow and liver tissue from patients with HLH [<span>10</span>], and its pro-inflammatory properties have been demonstrated on human macrophage cultures [<span>11</span>]. To our knowledge, quantification of circulating FeH in blood has not yet been reported, especially during acute inflammatory processes [<span>11-13</span>].</p><p>To improve the specificity of ferritin's assay, we used mass spectrometry (MS)-based proteomics to quantify both L-Ferritin (FeL) and H-Ferritin (FeH) in human sera.</p><p>Starting from an untargeted liquid chromatography-tandem MS (LC–MS/MS) analysis, we developed a targeted LC–MS/MS method based on multiple reaction monitoring (MRM).</p><p>First, we performed untargeted shotgun analysis of 6 sera of patients with hyperferritinemia (> 5000 μg/L), to maximize our chances of identifying tryptic signature peptides of FeL and FeH among peptides from other more abundant sera proteins. Among identified peptides, we selected","PeriodicalId":7724,"journal":{"name":"American Journal of Hematology","volume":"101 3","pages":"648-653"},"PeriodicalIF":9.9,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ajh.70189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145903565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marina Konopleva, Courtney D. DiNardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A. Pollyea
<p>Acute myeloid leukemia (AML) is a heterogeneous malignancy with variable outcomes to treatment. Frontline therapy typically consists of high-dose chemotherapy followed by stem cell transplant for patients who are able to tolerate high-intensity treatment, or low-dose chemotherapy (e.g., cytarabine or hypomethylating agents, like azacitidine) for patients who are older and/or have comorbid conditions, although the exact treatment course used for a given patient depends upon disease biology and evolving research. Venetoclax-azacitidine increased response rates versus azacitidine monotherapy among patients with AML who are ineligible for intensive chemotherapy [<span>1</span>], leading to Food and Drug Administration approval in 2018 and has since become the standard of care for this patient population. Venetoclax-azacitidine has shown broad efficacy across patient subgroups, including those with primary or secondary AML, intermediate or poor cytogenetic risk, and mutation subgroups (e.g., <i>IDH1/2</i>-mutated AML treated with or without IDH inhibitor) [<span>1-3</span>]. However, patients with monocytic AML have been reported to have primary and secondary resistance to and/or suboptimal response with venetoclax-based therapy [<span>4</span>]. In a study of 100 patients, those with French–American–British (FAB) M5 AML subtype [<span>5</span>], a more differentiated phenotype of monocytic AML, were suggested to be less sensitive to treatment with venetoclax-azacitidine [<span>6</span>]. Other studies, both in vivo and ex vivo, have shown similar results [<span>4, 7, 8</span>]. An emerging 4-gene prognostic signature for AML highlights the influence of mutations in <i>TP53</i>, <i>FLT3-</i>ITD, <i>NRAS</i>, and <i>KRAS</i> on patient outcomes, of which <i>N/KRAS</i> mutations are commonly associated with monocytic AML [<span>9, 10</span>]. Here, we report findings by AML differentiation state using the FAB classification system (M4, M5) and baseline gene expression profiling (GEP) to define monocytic-like AML in a post hoc analysis of venetoclax-azacitidine in patients ineligible for intensive chemotherapy from a pooled analysis of Phase 1b M14-358 and Phase 3 VIALE-A studies.</p><p>Patients from the Phase 1b M14-358 (NCT02203773) and Phase 3 VIALE-A (NCT02993523) studies [<span>1, 11</span>] who received venetoclax-azacitidine were included (Figure S1, Tables S1 and S2). Two methods were used to define monocytic AML: pathologic assignment of FAB subtyping (M4, M5, non-M4/M5; <i>n</i> = 197) per investigator and baseline GEP in patients with > 30% AML blasts (<i>n</i> = 153). Seventy-seven patients had FAB and GEP data. For GEP, a 13-gene panel of common myeloid markers (<i>ANPEP</i>, <i>CD14</i>, <i>CD300e</i>, <i>CD33</i>, <i>CD34</i>, <i>CD4</i>, <i>CD68</i>, <i>CR1</i>, <i>FCGR1A</i>, <i>FCGR1B</i>, <i>FCGR1CP</i>, <i>ITGAM</i>, and <i>KIT</i>) was used (Figure 1A). The expression levels of 4 of these genes associated with monocytic differe
{"title":"Analysis of Patients With Monocytic and Monocytic-Like Acute Myeloid Leukemia, Including AML-M4 and AML-M5, Treated With Venetoclax Plus Azacitidine","authors":"Marina Konopleva, Courtney D. DiNardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A. Pollyea","doi":"10.1002/ajh.70161","DOIUrl":"10.1002/ajh.70161","url":null,"abstract":"<p>Acute myeloid leukemia (AML) is a heterogeneous malignancy with variable outcomes to treatment. Frontline therapy typically consists of high-dose chemotherapy followed by stem cell transplant for patients who are able to tolerate high-intensity treatment, or low-dose chemotherapy (e.g., cytarabine or hypomethylating agents, like azacitidine) for patients who are older and/or have comorbid conditions, although the exact treatment course used for a given patient depends upon disease biology and evolving research. Venetoclax-azacitidine increased response rates versus azacitidine monotherapy among patients with AML who are ineligible for intensive chemotherapy [<span>1</span>], leading to Food and Drug Administration approval in 2018 and has since become the standard of care for this patient population. Venetoclax-azacitidine has shown broad efficacy across patient subgroups, including those with primary or secondary AML, intermediate or poor cytogenetic risk, and mutation subgroups (e.g., <i>IDH1/2</i>-mutated AML treated with or without IDH inhibitor) [<span>1-3</span>]. However, patients with monocytic AML have been reported to have primary and secondary resistance to and/or suboptimal response with venetoclax-based therapy [<span>4</span>]. In a study of 100 patients, those with French–American–British (FAB) M5 AML subtype [<span>5</span>], a more differentiated phenotype of monocytic AML, were suggested to be less sensitive to treatment with venetoclax-azacitidine [<span>6</span>]. Other studies, both in vivo and ex vivo, have shown similar results [<span>4, 7, 8</span>]. An emerging 4-gene prognostic signature for AML highlights the influence of mutations in <i>TP53</i>, <i>FLT3-</i>ITD, <i>NRAS</i>, and <i>KRAS</i> on patient outcomes, of which <i>N/KRAS</i> mutations are commonly associated with monocytic AML [<span>9, 10</span>]. Here, we report findings by AML differentiation state using the FAB classification system (M4, M5) and baseline gene expression profiling (GEP) to define monocytic-like AML in a post hoc analysis of venetoclax-azacitidine in patients ineligible for intensive chemotherapy from a pooled analysis of Phase 1b M14-358 and Phase 3 VIALE-A studies.</p><p>Patients from the Phase 1b M14-358 (NCT02203773) and Phase 3 VIALE-A (NCT02993523) studies [<span>1, 11</span>] who received venetoclax-azacitidine were included (Figure S1, Tables S1 and S2). Two methods were used to define monocytic AML: pathologic assignment of FAB subtyping (M4, M5, non-M4/M5; <i>n</i> = 197) per investigator and baseline GEP in patients with > 30% AML blasts (<i>n</i> = 153). Seventy-seven patients had FAB and GEP data. For GEP, a 13-gene panel of common myeloid markers (<i>ANPEP</i>, <i>CD14</i>, <i>CD300e</i>, <i>CD33</i>, <i>CD34</i>, <i>CD4</i>, <i>CD68</i>, <i>CR1</i>, <i>FCGR1A</i>, <i>FCGR1B</i>, <i>FCGR1CP</i>, <i>ITGAM</i>, and <i>KIT</i>) was used (Figure 1A). The expression levels of 4 of these genes associated with monocytic differe","PeriodicalId":7724,"journal":{"name":"American Journal of Hematology","volume":"101 3","pages":"577-580"},"PeriodicalIF":9.9,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ajh.70161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145903572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefan Markus Dendorfer, Katharina Schmidt-Brücken, Michael Kramer, Björn Steffen, Christoph Schliemann, Jan-Henrik Mikesch, Nael Alakel, Regina Herbst, Mathias Hänel, Maher Hanoun, Martin Kaufmann, Barbora Weinbergerova, Kerstin Schäfer-Eckart, Tim Sauer, Andreas Neubauer, Andreas Burchert, Claudia D. Baldus, Jolana Mertová, Edgar Jost, Dirk Niemann, Jan Novák, Stefan W. Krause, Sebastian Scholl, Andreas Hochhaus, Gerhard Held, Tomáš Szotkowski, Andreas Rank, Christoph Schmid, Lars Fransecky, Sabine Kayser, Markus Schaich, Frank Fiebig, Annett Haake, Johannes Schetelig, Jan Moritz Middeke, Friedrich Stölzel, Uwe Platzbecker, Christian Thiede, Carsten Müller-Tidow, Wolfgang E. Berdel, Gerhard Ehninger, Jiri Mayer, Hubert Serve, Martin Bornhäuser, Christoph Röllig
Anthracyclines are an essential component of induction therapy for acute myeloid leukemia (AML), but their optimal dosing and the associated risk for cardiotoxicity remain under debate. The DaunoDouble trial compared daunorubicin at 60 (Dauno60) versus 90 mg/m2 (Dauno90) in combination with cytarabine (100 mg/m2 for 7 days) in newly diagnosed AML patients aged 18–65 years. Cardiac function was assessed by left ventricular ejection fraction (LVEF) and cardiac biomarkers (high-sensitivity troponin T [hsTnT], NT-proBNP) before treatment and on Day 15 in 317 randomized patients. Median LVEF declined significantly from 65% [IQR 60%–68.5%] to 61% [IQR 58%–67.8%] across all patients (p < 0.01), without significant differences between treatment arms. NT-proBNP levels measured after induction therapy correlated negatively with LVEF at the same time point (ρ = −0.24, p = 0.02), but did not change significantly during induction—neither between Day 1 and 15 nor between treatment arms. HsTnT levels increased significantly from 5 [IQR 4–8] to 8 ng/L [IQR 6–14] across all patients (p < 0.01), with higher post-induction values in the Dauno90 group (9.5 ng/L [IQR 7–14]) compared to Dauno60 (7 ng/L [IQR 5–14]; p < 0.01). In exploratory subgroup analyses, post-induction hsTnT levels were also significantly higher in patients with obesity and arterial hypertension. These findings provide evidence of a dose-dependent cardiotoxic effect of daunorubicin, already apparent at standard induction doses, and underscore the importance of early cardiac monitoring. Long-term follow-up will be essential to determine the clinical significance of these early changes.