Evidence map›Paper›PMID 16825504›Full record

ArticleThe Journal of molecular diagnostics : JMD2006

A quantitative reverse transcriptase-polymerase chain reaction assay to identify metastatic carcinoma tissue of origin.

Dimitri Talantov, Jonathan Baden, Tim Jatkoe, Kristina Hahn, Jack Yu, Yashoda Rajpurohit, Yiqiu Jiang, Chang Choi, Jeffrey S Ross, David Atkins and 2 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Carcinoma of Unknown Primary withThe oncologist · 2019
    Article
  8. 2018 consensus statement by the Spanish Society of Pathology and the Spanish Society of Medical Oncology on the diagnosis and treatment of cancer of unknown primary.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Review
  9. Article
  10. Article
  11. Molecular Diagnostics in Clinical Oncology.Frontiers in molecular biosciences · 2018
    Review
  12. Article
  13. Pan-cancer transcriptome analysis reveals a gene expression signature for the identification of tumor tissue origin.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2016
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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 1 institution in 1 country.

Dimitri TalantovVeridex LLC, 33 Technology Dr., Warren, NJ 07059, USA.
Jonathan Baden
Tim Jatkoe
Kristina Hahn
Jack Yu
Yashoda Rajpurohit
Yiqiu Jiang
Chang Choi
Jeffrey S Ross
David Atkins
Yixin Wang
Abhijit Mazumder
Albany Medical Center Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the primary site in patients with metastatic carcinoma of unknown primary origin can enable more specific therapeutic regimens and may prolong survival. Twenty-three putative tissue-specific markers for lung, colon, pancreatic, breast, prostate, and ovarian carcinomas were nominated by querying a gene expression profile database and by performing a literature search. Ten of these marker candidates were then selected based on validation by reverse transcriptase-polymerase chain reaction (RT-PCR) on 205 formalin-fixed, paraffin-embedded metastatic carcinoma specimens originating from these six and from other cancer types. Next, we optimized the RNA isolation and quantitative RT-PCR methods for these 10 markers and applied the quantitative RT-PCR assay to a set of 260 metastatic tumors. We then built a gene-based algorithm that predicted the tissue of origin of metastatic carcinomas with an overall leave-one-out cross-validation accuracy of 78%. Lastly, our assay demonstrated an accuracy of 76% when tested on an independent set of 48 metastatic samples, 37 of which were either a known primary or initially presented as carcinoma of unknown primary but were subsequently resolved.

Indexed as

AlgorithmsBiomarkers, TumorFemaleGene Expression ProfilingHumansMaleMiddle AgedMolecular Diagnostic TechniquesNeoplasm MetastasisNeoplasms, Unknown PrimaryParaffin EmbeddingPredictive Value of TestsProtein Array AnalysisReverse Transcriptase Polymerase Chain ReactionBiomarkers, Tumor

Identifiers

PMID16825504
PMCPMC1867609
OpenAlexW2025541701

What OpenQuestion holds

Textmetadata
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.