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3 Questions on... Why ‘Whatʼs Old Is New’ in CML with Carlo Gambacorti-Passerini, MD

2015· article· en· W2548392800 on OpenAlexaboutno aff
Sarah DiGiulio

Bibliographic record

VenueOncology Times · 2015
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsNilotinibImatinibBosutinibDasatinibMedicineImatinib mesylatePonatinibOncologyTyrosine-kinase inhibitorInternal medicineMyeloid leukemiaPharmacology

Abstract

fetched live from OpenAlex

Figure“Imatinib mesylate changed the prognosis for chronic myeloid leukemia (CML) so dramatically that patients with newly diagnosed CML starting treatment with imatinib now have a normal life expectancy, compared with the historical median survival of 2 to 3 years. In addition to its outstanding therapeutic activity, imatinib possesses a remarkably safe profile.” So writes Carlo Gambacorti-Passerini, MD, Professor of Hematology and Director of the Clinical Research Unit at the University of Milano-Bicocca—with coauthor Rocco Piazza, MD, PhD, also of the University of Milano-Bicocca—in a recent “Viewpoint” editorial in JAMA Oncology (2015;1:143-144). In a phone interview Gambacorti-Passerini noted that the article is particularly timely given that generic imatinib is set to be available in the U.S. in 2016—which will make the drug available to patients in the U.S. at a fraction of the cost of the branded product (Gleevec, manufactured by Novatis). Generic versions of imatinib have been available in Canada and South Korea since 2013, costing 10 to 25 percent of the branded product. The coauthors succinctly summarize the argument why imatinib should remain the first choice for first-line treatment for patients with newly diagnosed CML, as well as why second- and third-generation tyrosine kinase inhibitors (TKIs)—developed primarily for second- and third-line use—are best suited for that purpose. “Bosutinib monohydrate, dasatinib, nilotinib, and ponatinib hydrochloride constitute a set of formidable ‘spare wheels’ for patients whose imatinib treatment fails, giving a viable option to more than 50 percent of them,” the article states. But then Gambacorti-Passerini and Piazza go on to explain why the evidence does not quite support those drugs as a replacement for imatinib. “If obtaining ‘faster and deeper’ responses using second-generation TKIs does not convert into a better prognosis, then this phenomenon should not dictate a change in therapy by itself,” they write, adding: “The safety profiles of these drugs are also a matter of debate.” Gambacorti-Passerini summed up the bottom line from the editorial for OT, and commented on his recent work that suggests there is a subset of CML patients who can safely discontinue TKI treatment (a study now available online ahead of print in American Journal of Hematology:DOI: 10.1002/ajh.24120). 1. What is your key message about imatinib? “Imatinib is definitely the safest inhibitor around in terms of long-term toxicity—and it is as active as any other TKI in the setting of first-line use. So, in my opinion, there is no scientific, clinical reason for using second-generation TKIs as frontline treatment. Imatinib remains, as the title of the article [“Imatinib—A New Tyrosine Kinase Inhibitor for First-Line Treatment of Chronic Myeloid Leukemia in 2015”] indicates, the first-line TKI of choice for treating newly diagnosed CML patients. And we need to in every objective way try not to be biased for economic reasons. “Other hematologists have different opinions on the topic, which is quite hot—as one can imagine.” 2. What would you say are the key points about the findings you recently published on safely discontinuing imatinib treatment for some patients with CML? “Number one, imatinib can be safely discontinued in real-world scenarios [in some patients], assuming that close monitoring is guaranteed. “Number two, the risk of relapse is linked to both the age of the patient and the result of the digital PCR test—being old lowers the risk of relapse. “And third, even for patients who did not relapse and for the most part show at least some PCR positivity after discontinuation [of imatinib], this positivity does not seem to be growing as you would expect from leukemic cells. “So our study suggests the patient who is at the lower risk of relapse is the patient who is older—approximately 45 and older—with a negative digital PCR.” 3. Are the findings conclusive enough to suggest clinicians should change practice for these patients? “Although our study is one of the biggest studies performed so far—we had 112 patients enrolled—as for any study, these data need to be confirmed.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.360
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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