Evidence map›Paper›PMID 33568750›Full record

ArticleProstate cancer and prostatic diseases2021

Molecular medicine tumor board: whole-genome sequencing to inform on personalized medicine for a man with advanced prostate cancer.

Andrew J Armstrong, Xiaotong Li, Matthew Tucker, Shantao Li, Xinmeng Jasmine Mu, Kenneth Wha Eng, Andrea Sboner, Mark Rubin, Mark Gerstein

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Prostate cancer and prostatic diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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  4. Identification of Novel Genes and Associated Drugs in Cervical Cancer by Bioinformatics Methods.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  5. Review
  6. 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

9 authors at 5 institutions in 3 countries.

Andrew J Armstrong *Duke Cancer Institute Center for Prostate and Urologic Cancer, Departments of Medicine, Surgery, Pharmacology and Cancer Biology, Duke Cancer Institute, Durham, NC, USA. andrew.armstrong@duke.edu.ORCID http://orcid.org/0000-0001-7012-1754
Xiaotong Li *Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Matthew TuckerDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Shantao LiProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Xinmeng Jasmine MuThe Broad Institute of MIT & Harvard, Cambridge, MA, USA.
Kenneth Wha EngDepartment of Physiology and Biophysics, Englander Institute for Precision Medicine, HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA.
Andrea SbonerDepartment of Pathology and Laboratory Medicine, Englander Institute for Precision Medicine, HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA.
Mark RubinDepartment of Pathology and Laboratory Medicine, Englander Institute for Precision Medicine, HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA. mark.rubin@dbmr.unibe.ch.ORCID http://orcid.org/0000-0002-8321-9950
Mark GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA. mark@gersteinlab.org.ORCID http://orcid.org/0000-0002-9746-3719
Cornell University · USYale University · USBroad Institute · USDuke Medical Center · USVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMolecular profiling of cancer is increasingly common as part of routine care in oncology, and germline and somatic profiling may provide insights and actionable targets for men with metastatic prostate cancer. However, all reported cases are of deidentified individuals without full medical and genomic data available in the public domain. PATIENT AND

methodsWe present a case of whole-genome tumor and germline sequencing in a patient with advanced prostate cancer, who has agreed to make his genomic and clinical data publicly available.

resultsWe describe an 84-year-old Caucasian male with a Gleason 10 oligometastastic hormone-sensitive prostate cancer. Whole-genome sequencing provided insights into his tumor's underlying mutational processes and the development of an SPOP mutation. It also revealed an androgen-receptor dependency of his cancer which was reflected in his durable response to radiation and hormonal therapy. Potentially actionable genomic lesions in the tumor were identified through a personalized medicine approach for potential future therapy, but at the moment, he remains in remission, illustrating the hormonal sensitivity of his SPOP-driven prostate cancer. We also placed this patient in the context of a large prostate-cancer cohort from the PCAWG (Pan-cancer Analysis of Whole Genomes) group. In this comparison, the patient's cancer appears typical in terms of the number and type of somatic mutations, but it has a somewhat larger contribution from the mutational process associated with aging.

conclusionWe combined the expertise of medical oncology and genomics approaches to develop a molecular tumor board to integrate the care and study of this patient, who continues to have an outstanding response to his combined modality treatment. This identifiable case potentially helps overcome barriers to clinical and genomic data sharing.

Indexed as

Genome, HumanPrecision MedicineAged, 80 and overBiomarkers, TumorGenomicsHumansMaleMolecular MedicinePrognosisProstatic NeoplasmsWhole Genome SequencingBiomarkers, Tumor

Identifiers

PMID33568750
PMCPMC8384621
OpenAlexW3126487358

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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.