ArticleCancer2018
Time, trust, and transparency: Lessons learned from collecting blood biospecimens for cancer research from the Asian American community.
Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Factors Associated With Minority Patient Enrollment in a Gastric Cancer Biobank.The Journal of surgical research · 2025Article
- Asking Different Questions: Development and implementation of Clinical and Translational Science Award diversity, equity, and inclusion and community engagement training course for TL1 scholars.Journal of clinical and translational science · 2025Article
- Comparison of factors influencing the willingness to donate biospecimens among guardians of children with cancer and adult cancer patients.Cancer medicine · 2022Article
- "Something Good Has to Come Out of the Horror": A Qualitative Examination of Cancer Survivors' Attitudes Towards Participation in Research During the First Year of the COVID-19 Pandemic.Frontiers in public health · 2021Article
- Article
- Project PLACE: Enhancing community and academic partnerships to describe and address health disparities.Advances in cancer research · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundBiospecimens from racially diverse groups are needed to advance cancer research. The Asian American Cancer Education Study was developed to increase the number and proportion of blood biospecimen donations from Asian Americans for cancer research.
methodsThe authors' targeted approach included 2 types of community engagement, in-reach (within institution to Asian American patients with cancer) and outreach (external to institution to the general Asian American community). Participants received in-language biospecimen education followed by the opportunity to donate blood biospecimens. Outreach participants donated through our community biospecimen blood drives, and in-reach participants consented to donating an extra tube of blood during their routine blood draws as a patient. Donated blood biospecimens were spun down to serum and plasma to be stored in a biorepository or were sent to the laboratory to test for cancer-related risk factors.
resultsThree hundred eighty-eight Asian Americans donated 1127 blood biospecimens for cancer research. Four hundred twenty tubes of plasma and serum are currently being stored at the cancer center's biorepository, 39 tubes have been used for cancer genomic research, and 668 tubes were used to characterize cancer-related risk factors.
conclusionsBuilding upon the past decade of the National Cancer Institute-funded Asian American Network for Cancer Awareness, Research, and Training's foundation of trust and service among Asian Americans, researchers were able to leverage relationships not only to introduce the idea of biospecimen contribution to the community but to also exceed expectations with regard to the quantity of blood biospecimens collected from Asian Americans. Cancer 2018;124:1614-21. © 2018 American Cancer Society.
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What OpenQuestion holds
Registered trials
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.