Evidence map›Paper›PMID 27724958›Full record

ArticleJournal of hematology & oncology2016

High applicability of ASO-RQPCR for detection of minimal residual disease in multiple myeloma by entirely patient-specific primers/probes.

Yinlei Bai, Kwan Yeung Wong, Tsz Kin Fung, Chor Sang Chim

Open access · goldAbstract readLetter
In one paragraph

Article in Journal of hematology & oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Tracking myeloma tumor DNA in peripheral blood.Best practice & research. Clinical haematology · 2020
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

4 authors at 2 institutions in 2 countries.

Yinlei BaiDepartment of Medicine, Queen Mary Hospital, The University of Hong Kong, Pokfulam, Hong Kong.
Kwan Yeung WongDepartment of Medicine, Queen Mary Hospital, The University of Hong Kong, Pokfulam, Hong Kong.
Tsz Kin FungDepartment of Medicine, Queen Mary Hospital, The University of Hong Kong, Pokfulam, Hong Kong.
Chor Sang ChimDepartment of Medicine, Queen Mary Hospital, The University of Hong Kong, Pokfulam, Hong Kong. jcschim@hku.hk.
University of Hong Kong · HKQueen Mary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allele-specific oligonucleotide real-time quantitative PCR (ASO-RQPCR) is a standardized technique for detection and monitoring of minimal residual disease (MRD) in acute lymphoblastic leukemia (ALL) but not multiple myeloma (MM) due to a low applicability inherent with presence of somatic hypermutation. Herein, by a staged PCR approach and sequencing, clonality and tumor-specific complementarity-determining region 3 (CDR3) sequence were identified in 13/13 MM by sequential PCR of IgH VDJ (n = 10), IgH DJ (n = 2), or IgK VJ (n = 1). Using consensus primers/probes conventionally employed in ALL, ASO-RQPCR worked in three (23.1 %) cases only. Conversely, using entirely patient-specific primers/probes, ASO-RQPCR was applicable in eight (61.5 %) cases with a sensitivity of 5 × 10

Indexed as

AllelesComplementarity Determining RegionsDNA PrimersDNA ProbesHumansMultiple MyelomaNeoplasm, ResidualPrecision MedicineReal-Time Polymerase Chain ReactionSensitivity and SpecificitySequence Analysis, DNAComplementarity Determining RegionsDNA PrimersDNA ProbesMinimal residual diseaseMultiple myelomaPatient-specific ASO-RQPCR

Identifiers

PMID27724958
PMCPMC5057274
OpenAlexW2530305952

What OpenQuestion holds

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LicenceCC BY
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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.