Evidence map›Paper›PMID 32548563›Full record

ArticleResearch and practice in thrombosis and haemostasis2020

Effect of chemotherapy and longitudinal analysis of circulating extracellular vesicle tissue factor activity in patients with pancreatic and colorectal cancer.

Raj S Kasthuri, Yohei Hisada, Anton Ilich, Nigel S Key, Nigel Mackman

Open access · goldAbstract read
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. The pathogenesis of cancer-associated thrombosis.International journal of hematology · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Tissue factor activity of small and large extracellular vesicles in different diseases.Research and practice in thrombosis and haemostasis · 2023
    Article
  9. Mechanisms of cancer-associated thrombosis.Research and practice in thrombosis and haemostasis · 2023
    Article
  10. Review
  11. Cancer-associated venous thromboembolism.Nature reviews. Disease primers · 2022
    Review
  12. Article
  13. Review
  14. Cancer Therapy-Associated Thrombosis.Arteriosclerosis, thrombosis, and vascular biology · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. 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

5 authors at 1 institution in 1 country.

Raj S KasthuriDivision of Hematology/Oncology Department of Medicine University of North Carolina at Chapel Hill Chapel Hill North Carolina.ORCID https://orcid.org/0000-0001-6672-3082
Yohei HisadaDivision of Hematology/Oncology Department of Medicine University of North Carolina at Chapel Hill Chapel Hill North Carolina.ORCID https://orcid.org/0000-0001-9157-0524
Anton IlichDivision of Hematology/Oncology Department of Medicine University of North Carolina at Chapel Hill Chapel Hill North Carolina.
Nigel S KeyDivision of Hematology/Oncology Department of Medicine University of North Carolina at Chapel Hill Chapel Hill North Carolina.
Nigel MackmanDivision of Hematology/Oncology Department of Medicine University of North Carolina at Chapel Hill Chapel Hill North Carolina.
University of North Carolina at Chapel Hill · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
Research Training in Hematology at UNC Chapel HillT32HL007149 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Nigel S. Key · 1985 to 2026
$8.6M
Mechanisms of Venous Thromboembolism in CancerR01HL095096 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KEY, NIGEL S., MACKMAN, NIGEL · 2008 to 2012
$2.6M
NCI NIH HHS P30 CA016086NHLBI NIH HHS R01 HL095096NHLBI NIH HHS T32 HL007149
6 · The paper itself

Abstract

introductionWe conducted a longitudinal study in patients with pancreatic and colorectal cancer. We determined the effect of chemotherapy on extracellular vesicle tissue factor (EVTF) activity and the association of plasma EVTF activity with venous thromboembolism (VTE) and survival. MATERIAL AND

methodsWe enrolled 13 patients with pancreatic and 22 patients with colorectal cancer. Plasma samples were collected during the 85-day study period. Patients were followed for 3 months after the study period. We recorded symptomatic VTE during the study period (3 months) or asymptomatic deep vein thrombosis detected by ultrasound at day 85. We measured EVTF activity before and after chemotherapy. RESULTS AND

conclusionsIn the pancreatic cancer group, 2 patients had elevated levels of EVTF activity. One of these patients developed symptomatic VTE and died, and the second patient did not have a VTE but died. Chemotherapy decreased EVTF activity in 2 pancreatic patients with high levels. In the colorectal cancer group, 4 patients developed VTE, but EVTF activity was not elevated in any patient and no patient died. We observed a borderline significant correlation between EVTF activity and D-dimer in the patients with pancreatic but not colorectal cancer. In this small descriptive study, 2 patients with pancreatic cancer had an elevated level of EVTF activity. Both patients died during the study period, and one had a VTE. Chemotherapy decreased EVTF activity in these patients. In contrast, elevated levels of EVTF activity were not observed in patients with colorectal cancer with or without VTE.

Indexed as

cancerchemotherapyextracellular vesiclestissue factorvenous thromboembolism

Identifiers

PMID32548563
PMCPMC7292676
OpenAlexW3011192146

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.