Evidence map›Paper›PMID 26992692›Full record

ArticleJournal of experimental & clinical cancer research : CR2016

Flow cytometry remission by Ig light chains ratio is a powerful marker of outcome in multiple myeloma after tandem autologous transplant: a real-life study.

Iole Cordone, Francesco Marchesi, Serena Masi, Valentina Summa, Francesco Pisani, Roberta Merola, Giovanni Cigliana, Giulia Orlandi, Svitlana Gumenyuk, Francesca Palombi and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% 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, 5 citations in OpenAlex.

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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

18 authors at 1 institution in 1 country.

Iole CordoneClinical Pathology, Regina Elena National Cancer Institute, Rome, Italy. cordone@ifo.it.
Francesco MarchesiHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Serena MasiClinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Valentina SummaClinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Francesco PisaniHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Roberta MerolaClinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Giovanni CiglianaClinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Giulia OrlandiClinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Svitlana GumenyukHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Francesca PalombiHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Atelda RomanoHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Antonio SpadeaHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Daniela RenziHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Elena PapaHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Marco CanforaScientific Direction, Regina Elena National Cancer Institute, Rome, Italy.
Laura ContiClinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Maria Concetta PettiHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
Andrea MengarelliHematology and Stem Cell Transplant Unit, Regina Elena National Cancer Institute, Rome, Italy.
National Cancer Institute · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe achievement of complete response (CR) significantly correlates with a better clinical outcome in multiple myeloma (MM) patients treated with autologous stem cell transplant (ASCT). The depth of response is one of the most relevant factors to predict patient's outcome, however the definition of CR through standard criteria has shown several limitations.

methodsIn this study we evaluated the minimal residual disease (MRD) in 50 consecutive MM patients who underwent an up-front tandem ASCT in our center, using a single-tube six-colors flow cytometry assay (FC) based on intra-cytoplasmic immunoglobulin (cy-Ig) light chains ratio evaluated on patient-specific plasma cells (PC) immune profile, in a real-life setting.

resultsWith a sensitivity up to 10(-5), clonal-PC were documented by FC in 36.4% (12/33) of patients in conventional CR after second transplant. The number of flow MRD-negative patients significantly increased after induction and first ASCT, but not between first and second transplant. The 5-years progression-free survival (5ys-PFS) of flow MRD-negative patients after second transplant was significantly better than patients who remained MRD-positive considering both all patients (5ys-PFS: 70% vs 5%) and patients in CR according to standard criteria (5ys-PFS: 67% vs 0%).

conclusionsFC remission through cy-Ig light ratio on PC sub-populations is a sensitive, highly informative, low-cost and routinely applicable MRD assay, a powerful tool in treatment response evaluation and a crucial marker of outcome in MM.

Indexed as

AdultAgedFemaleFlow CytometryHematopoietic Stem Cell TransplantationHumansImmunoglobulin Light ChainsMaleMiddle AgedMultiple MyelomaNeoplasm, ResidualPrognosisSurvival AnalysisTransplantation, AutologousTreatment OutcomeImmunoglobulin Light ChainsAutologous stem cell transplantFlow cytometry remissionLight chains ratioMinimal residual diseaseMultiple myeloma

Identifiers

PMID26992692
PMCPMC4799564
OpenAlexW2298649310

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Registered trials

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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.