Evidence map›Paper›PMID 39392347›Full record

ArticleCancer research communications2024

Genomic Features of Newly Diagnosed Large B-cell Lymphoma with or without Subsequent Disease Progression.

Daniel J Landsburg, Jennifer J D Morrissette, Sunita D Nasta, Stefan K Barta, Stephen J Schuster, Elise A Chong, Jakub Svoboda, Ashley Barlev, Adam Bagg, Salvatore F Priore

Abstract read
In one paragraph

Article in Cancer research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Daniel J LandsburgLymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-5077-4181
Jennifer J D MorrissetteDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0001-9460-7177
Sunita D NastaLymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-8981-2931
Stefan K BartaLymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-3280-5271
Stephen J SchusterLymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-3376-8978
Elise A ChongLymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0001-8895-1625
Jakub SvobodaLymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-6359-7065
Ashley BarlevDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0009-0000-2354-2134
Adam BaggDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-1669-468X
Salvatore F PrioreDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0009-0001-6612-9160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

significanceGenomic features of LBCL that can be detected by clinical laboratory assays may predict for resistance to first-line immunochemotherapy, as well as support the exploration of genomic features as biomarkers of response to therapies which could be offered to patients who experience disease progression.

Indexed as

Disease ProgressionGenomicsLymphoma, Large B-Cell, DiffuseAdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansMaleMiddle AgedBiomarkers, Tumor

Identifiers

PMID39392347
PMCPMC11558615

What OpenQuestion holds

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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.