Evidence map›Paper›PMID 33782032›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer.

Argun Akcakanat, Xiaofeng Zheng, Christian X Cruz Pico, Tae-Beom Kim, Ken Chen, Anil Korkut, Aysegul Sahin, Vijaykumar Holla, Emily Tarco, Gopal Singh and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  16. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  17. Article
  18. Article
  19. Review
  20. Patients with Rare Cancers in the Drug Rediscovery Protocol (DRUP) Benefit from Genomics-Guided Treatment.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    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

14 authors at 2 institutions in 1 country.

Argun Akcakanat *Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Xiaofeng Zheng *Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Christian X Cruz PicoDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-5620-7727
Tae-Beom KimDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ken ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-4013-5279
Anil KorkutDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Aysegul SahinDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Vijaykumar HollaSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Emily TarcoDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gopal SinghDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Senthil DamodaranDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gordon B MillsDepartment of Cell, Developmental and Cancer Biology, Department of Medicine, Oregon Health and Science University, Portland, Oregon.ORCID 0000-0002-0144-9614
Ana Maria Gonzalez-AnguloDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Funda Meric-BernstamDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas. fmeric@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USOregon Health & Science University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
Integrated analysis of protein expression data from the Reverse Phase Protein Array (RPPA) platformU24CA210950 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.8M
NCATS NIH HHS UL1 TR003167NCI NIH HHS P30 CA016672NCI NIH HHS U24 CA210950
6 · The paper itself

Abstract

purposeMetastatic breast cancer (MBC) is not curable and there is a growing interest in personalized therapy options. Here we report molecular profiling of MBC focusing on molecular evolution in actionable alterations. EXPERIMENTAL

designSixty-two patients with MBC were included. An analysis of DNA, RNA, and functional proteomics was done, and matched primary and metastatic tumors were compared when feasible.

resultsTargeted exome sequencing of 41 tumors identified common alterations in

conclusionsMolecular profiling in MBC reveals multiple common as well as less frequent but potentially actionable alterations. Genomic and transcriptional profiling demonstrates intertumoral heterogeneity and potential evolution of actionable targets with tumor progression. Further work is needed to optimize testing and integrated analysis for treatment selection.

Indexed as

GenomicsProteomicsB7 AntigensBreast NeoplasmsCation Transport ProteinsClass I Phosphatidylinositol 3-KinasesDNA, NeoplasmEvolution, MolecularExome SequencingFemaleGene Expression Regulation, NeoplasticHumansMutationNeoplasm ProteinsNeurofibromin 1PTEN PhosphohydrolaseB7 AntigensCation Transport ProteinsCD276 protein, humanClass I Phosphatidylinositol 3-KinasesDNA, NeoplasmNeoplasm ProteinsNeurofibromin 1NF1 protein, humanPIK3CA protein, humanPTEN PhosphohydrolasePTEN protein, humanRNA, NeoplasmSLC39A6 protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID33782032
PMCPMC8172429
OpenAlexW3140011679

What OpenQuestion holds

Textmetadata
LicenceTDM
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.