Evidence map›Paper›PMID 32816908›Full record

ArticleCancer research2020

Morphology-Predicted Large-Scale Transition Number in Circulating Tumor Cells Identifies a Chromosomal Instability Biomarker Associated with Poor Outcome in Castration-Resistant Prostate Cancer.

Joseph D Schonhoft, Jimmy L Zhao, Adam Jendrisak, Emily A Carbone, Ethan S Barnett, Melanie A Hullings, Audrey Gill, Ramsay Sutton, Jerry Lee, Angel E Dago and 6 more

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Targeting chromosomal instability in patients with cancer.Nature reviews. Clinical oncology · 2024
    Review
  10. Review
  11. Article
  12. Clinical application of circulating tumor cells.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
  13. Circulating Tumor DNA Biomarkers for Response Assessment in Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Chromosomal instability as a source of genomic plasticity.Current opinion in genetics & development · 2022
    Review
  20. 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

16 authors at 2 institutions in 1 country.

Joseph D SchonhoftEpic Sciences, San Diego, California.
Jimmy L ZhaoGenitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Adam JendrisakEpic Sciences, San Diego, California.
Emily A CarboneDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6377-2847
Ethan S BarnettDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Melanie A HullingsDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Audrey GillEpic Sciences, San Diego, California.
Ramsay SuttonEpic Sciences, San Diego, California.
Jerry LeeEpic Sciences, San Diego, California.
Angel E DagoEpic Sciences, San Diego, California.
Mark LandersEpic Sciences, San Diego, California.
Samuel F BakhoumHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Yipeng WangEpic Sciences, San Diego, California.
Mithat GonenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8683-8477
Ryan DittamoreEpic Sciences, San Diego, California.ORCID 0000-0003-2281-3232
Howard I ScherGenitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. scherh@mskcc.org.
Epic Sciences (United States) · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Yu Chen, MICHAEL J MORRIS · 2001 to 2026
$63.0M
Investigational Cancer Therapeutics Training Program (ICTTP)T32CA009207 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Omar Abdel-Wahab, Alexander Drilon · 1985 to 2026
$13.7M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629NCI NIH HHS T32 CA009207
6 · The paper itself

Abstract

Chromosomal instability (CIN) increases a tumor cell's ability to acquire chromosomal alterations, a mechanism by which tumor cells evolve, adapt, and resist therapeutics. We sought to develop a biomarker of CIN in circulating tumor cells (CTC) that are more likely to reflect the genetic diversity of patient's disease than a single-site biopsy and be assessed rapidly so as to inform treatment management decisions in real time. Large-scale transitions (LST) are genomic alterations defined as chromosomal breakages that generate chromosomal gains or losses of greater than or equal to10 Mb. Here we studied the relationship between the number of LST in an individual CTC determined by direct sequencing and morphologic features of the cells. This relationship was then used to develop a computer vision algorithm that utilizes CTC image features to predict the presence of a high (9 or more) versus low (8 or fewer) LST number in a single cell. As LSTs are a primary functional component of homologous recombination deficient cellular phenotypes, the image-based algorithm was studied prospectively on 10,240 CTCs in 367 blood samples obtained from 294 patients with progressing metastatic castration-resistant prostate cancer taken prior to starting a standard-of-care approved therapy. The resultant computer vision-based biomarker of CIN in CTCs in a pretreatment sample strongly associated with poor overall survival times in patients treated with androgen receptor signaling inhibitors and taxanes. SIGNIFICANCE: A rapidly assessable biomarker of chromosomal instability in CTC is associated with poor outcomes when detected in men with progressing mCRPC.

Indexed as

AlgorithmsNeoplastic Cells, CirculatingAgedAged, 80 and overChromosomal InstabilityChromosome BreakageDisease ProgressionDNA Copy Number VariationsGenetic MarkersGenomic Structural VariationHigh-Throughput Screening AssaysHumansMaleMiddle AgedPrognosisProstatic Neoplasms, Castration-ResistantGenetic Markers

Identifiers

PMID32816908
PMCPMC8428781
OpenAlexW3051889591

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.