Evidence map›Paper›PMID 25107917›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2014

Pharmacogenomic modeling of circulating tumor and invasive cells for prediction of chemotherapy response and resistance in pancreatic cancer.

Kenneth H Yu, Mark Ricigliano, Manuel Hidalgo, Ghassan K Abou-Alfa, Maeve A Lowery, Leonard B Saltz, Joseph F Crotty, Kristen Gary, Brandon Cooper, Rena Lapidus and 2 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 58 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Exploring the Clinical Utility of Pancreatic Cancer Circulating Tumor Cells.International journal of molecular sciences · 2022
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Observational
  11. Review
  12. Article
  13. Article
  14. Comprehensive Molecular Profiling of Intrahepatic and Extrahepatic Cholangiocarcinomas: Potential Targets for Intervention.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Article
  15. Article
  16. Review
  17. Biomarker-Based Therapy in Pancreatic Ductal Adenocarcinoma: An Emerging Reality?Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Kenneth H YuMemorial Sloan Kettering, Cancer Center, New York, New York. Weill Cornell Medical College, New York, New York. yuk1@mskcc.org.
Mark RiciglianoCellPath Therapeutics, Baltimore, Maryland.
Manuel HidalgoClinical Research Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain.
Ghassan K Abou-AlfaMemorial Sloan Kettering, Cancer Center, New York, New York. Weill Cornell Medical College, New York, New York.
Maeve A LoweryMemorial Sloan Kettering, Cancer Center, New York, New York. Weill Cornell Medical College, New York, New York.
Leonard B SaltzMemorial Sloan Kettering, Cancer Center, New York, New York. Weill Cornell Medical College, New York, New York.
Joseph F CrottyMemorial Sloan Kettering, Cancer Center, New York, New York. Weill Cornell Medical College, New York, New York.
Kristen GaryMemorial Sloan Kettering, Cancer Center, New York, New York. Weill Cornell Medical College, New York, New York.
Brandon CooperUniversity of Maryland Greenebaum Cancer Center, Baltimore, Maryland.
Rena LapidusUniversity of Maryland Greenebaum Cancer Center, Baltimore, Maryland.
Mariola SadowskaUniversity of Maryland Greenebaum Cancer Center, Baltimore, Maryland.
Eileen M O'ReillyMemorial Sloan Kettering, Cancer Center, New York, New York. Weill Cornell Medical College, New York, New York.
Cornell University · USUniversity of Maryland, Baltimore · USU-M Rogel Cancer Center

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Biomarkers of exposure and response to environmental tobacco smoke in the pancreaK08ES019615 · NIEHS · SLOAN-KETTERING INST CAN RESEARCH · PI YU, KENNETH H. · 2011 to 2013
$541k
NCI NIH HHS P30 CA008748NIEHS NIH HHS K08 ES019615
6 · The paper itself

Abstract

purposeDespite a challenging prognosis, modern cytotoxic therapy can induce tumor responses and extend life in pancreatic adenocarcinoma (PDAC). Pharmacogenomic (PGx) modeling of tumor tissue can predict the efficacy of chemotherapeutic agents in preclinical cancer models. We hypothesized that PGx profiling of circulating tumor and invasive cells (CTIC) isolated from peripheral blood could predict tumor response, progression, and resistance. EXPERIMENTAL

designA PGx model was created and validated in preclinical models. A prospective clinical trial was conducted. Fifty patients with advanced PDAC were enrolled. Before treatment, 10 mL of peripherally drawn blood was collected. CTICs isolated from this blood sample were expression profiled and the PGx model was used to predict effective and ineffective chemotherapeutic agents. The treating physicians were blinded to PGx prediction.

resultsWe found that CTICs could be reliably isolated, total RNA extracted and profiled from 10 mL of peripheral blood from patients with unresectable PDAC before chemotherapy treatment and at disease progression. Using previously created PGx models to predict chemotherapy sensitivity, we found that clinical benefit was seen for study participants treated with chemotherapy regimens predicted to be effective versus chemotherapy regimens predicted to be ineffective with regard to progression-free (10.4 mo vs. 3.6 mo; P < 0.0001; HR, 0.14) and overall survival (17.2 mo vs. 8.3 mo; P < 0.0249; HR, 0.29).

conclusionsThese findings suggest that PGx profiling of CTICs can predict treatment response.

Indexed as

Models, BiologicalPharmacogeneticsAdenocarcinomaAgedAged, 80 and overAnimalsAntineoplastic AgentsCell Line, TumorDrug Resistance, NeoplasmFemaleGene Expression ProfilingHumansMaleMiceMiddle AgedNeoplastic Cells, CirculatingAntineoplastic Agents

Identifiers

PMID25107917
PMCPMC4346320
OpenAlexW2016832943

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.