Evidence map›Paper›PMID 29884457›Full record

ArticleEBioMedicine2018

Distinct Activities of Glycolytic Enzymes Identify Chronic Lymphocytic Leukemia Patients with a more Aggressive Course and Resistance to Chemo-Immunotherapy.

Georg Gdynia, Tadeusz Robak, Jürgen Kopitz, Anette Heller, Svetlana Grekova, Katarina Duglova, Gloria Laukemper, Monika Heinzel-Gutenbrunner, Cornelius Gutenbrunner, Wilfried Roth and 5 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 2 countries.

Georg GdyniaInstitute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Tadeusz RobakMedical University of Lodz, Copernicus Memorial Hospital, Lodz, Poland.
Jürgen KopitzInstitute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Anette HellerInstitute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Svetlana GrekovaInstitute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Katarina DuglovaInstitute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Gloria LaukemperInstitute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Monika Heinzel-GutenbrunnerDepartment of Child and Adolescent Psychiatry, University Hospital Marburg, Marburg, Germany.
Cornelius GutenbrunnerMH Statistical Consulting, Marburg, Germany.
Wilfried RothInstitute of Pathology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Anthony D HoDepartment of Medicine V, University Hospital Heidelberg, Heidelberg, Germany.
Peter SchirmacherInstitute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Michael SchmittDepartment of Medicine V, University Hospital Heidelberg, Heidelberg, Germany; National Center for Tumor Diseases (NCT), German Cancer Consortium (DKTK), Heidelberg, Germany.
Peter DregerDepartment of Medicine V, University Hospital Heidelberg, Heidelberg, Germany; National Center for Tumor Diseases (NCT), German Cancer Consortium (DKTK), Heidelberg, Germany.
Leopold SellnerDepartment of Medicine V, University Hospital Heidelberg, Heidelberg, Germany; National Center for Tumor Diseases (NCT), German Cancer Consortium (DKTK), Heidelberg, Germany. Electronic address: leopold.sellner@med.uni-heidelberg.de.
Heidelberg University · DECopernicus Memorial Hospital · PLJohannes Gutenberg University Mainz · DEPhilipps University of Marburg · DEStatistisches Bundesamt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A higher capacity to grow under hypoxic conditions can lead to a more aggressive behavior of tumor cells. Determining tumor activity under hypoxia may identify chronic lymphocytic leukemia (CLL) with aggressive clinical course and predict response to chemo-immunotherapy (CIT). A metabolic score was generated by determining pyruvate kinase and lactate dehydrogenase, key enzymes of glycolysis, ex vivo in primary CLL samples under normoxic and hypoxic conditions. This score was further correlated with clinical endpoints and response to CIT in 96 CLL patients. 45 patients were classified as metabolic high risk (HR), 51 as low risk (LR). Treatment-free survival (TFS) was significantly shorter in HR patients (median 394 vs 723 days, p = .021). 15 HR patients and 14 LR patients received CIT after sample acquisition. HR patients had a significantly shorter progression-free survival after treatment compared to LR patients (median 216 days vs not reached, p = .008). Multivariate analysis evaluating age, IGHV, TP53 deletion or mutation and 11q22-23 deletion besides the capacity of tumor cells to grow under severe hypoxic conditions identified the metabolic profile as the strongest independent risk factor for shorter TFS (hazard ratio 2.37, p = .011). The metabolic risk can provide prognostic and predictive information complementary to genetic biomarkers and identify patients who might benefit from alternative treatment approaches.

Indexed as

ImmunotherapyPrognosisAdultAgedAged, 80 and overBiomarkers, TumorDisease-Free SurvivalFemaleGlycolysisHumansLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedMutationProportional Hazards ModelsRisk FactorsBiomarkers, TumorCLLHigh-riskLDHMetabolismPK M2

Identifiers

PMID29884457
PMCPMC6021262
OpenAlexW2805802850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.