Evidence map›Paper›PMID 33314633›Full record

ArticleCancer medicine2021

Predictive Biomarkers for Immune Checkpoint Inhibitors in Metastatic Breast Cancer.

Abirami Sivapiragasam, Prashanth Ashok Kumar, Ethan S Sokol, Lee A Albacker, Jonathan K Killian, Shakti H Ramkissoon, Richard S P Huang, Eric A Severson, Charlotte A Brown, Natalie Danziger and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 54 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

12 authors at 2 institutions in 1 country.

Abirami SivapiragasamUpstate Medical University, Syracuse, New York, USA.
Prashanth Ashok KumarUpstate Medical University, Syracuse, New York, USA.ORCID 0000-0001-6236-2822
Ethan S SokolFoundation Medicine, Cambridge, Massachusetts, USA.
Lee A AlbackerFoundation Medicine, Cambridge, Massachusetts, USA.
Jonathan K KillianFoundation Medicine, Cambridge, Massachusetts, USA.
Shakti H RamkissoonFoundation Medicine, Cambridge, Massachusetts, USA.
Richard S P HuangFoundation Medicine, Cambridge, Massachusetts, USA.
Eric A SeversonFoundation Medicine, Cambridge, Massachusetts, USA.
Charlotte A BrownFoundation Medicine, Cambridge, Massachusetts, USA.ORCID 0000-0002-7328-3967
Natalie DanzigerFoundation Medicine, Cambridge, Massachusetts, USA.
Kimberly McGregorFoundation Medicine, Cambridge, Massachusetts, USA.
Jeffrey S RossUpstate Medical University, Syracuse, New York, USA.
North Carolina Institute of Medicine · USSUNY Upstate Medical University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined a large dataset of female metastatic breast cancers (MBCs) profiled with comprehensive genomic profiling (CGP) to identify the prevalence and distribution of immunotherapy responsiveness-associated biomarkers. DNA was extracted from 3831 consecutive MBCs: 1237 (ER

Indexed as

Gene Expression ProfilingTranscriptomeAdultAgedAged, 80 and overB7-H1 AntigenBiomarkers, TumorBreast NeoplasmsClinical Decision-MakingDatabases, Nucleic AcidDrug Resistance, NeoplasmFemaleHumansImmune Checkpoint InhibitorsMicrosatellite InstabilityMiddle AgedB7-H1 AntigenBiomarkers, TumorCD274 protein, humanImmune Checkpoint Inhibitorsbiomarkerscomprehensive genomic profilingimmunotherapymetastatic breast cancermicrosatellite instabilityPD-L1tumor mutational burden

Identifiers

PMID33314633
PMCPMC7826457
OpenAlexW3112928625

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.