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Recruiting NCT05142033

Avera Cancer Sequencing and Analytics Protocol (ASAP)

— Observational Cancer Cancer Diagnosis Early Detection of Cancer Breast Cancer

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Cancer, Cancer Diagnosis, Early Detection of Cancer, Breast Cancer. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
United States
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Official title

Implementation of Comprehensive Molecular Profiling and Deep Clinical Annotation of Electronic Health Records in Participants Diagnosed With or at Risk of Developing Cancer (ASAP Study)

Overview

The purpose of this study is to characterize the breadth of molecular features present in participants receiving care within a large, integrated, community-based healthcare system. Through comprehensive genomic profiling, investigators aim to identify the underlying genomic drivers of premalignant and malignant conditions across a range of disease stages and cancer types. Comprehensive molecular profiling will include somatic tumor testing (tissue and/or blood) using next-generation sequencing. Selected subsets of samples may undergo whole exome and/or whole transcriptome sequencing for research purposes. Pharmacogenomic testing will also be performed to better understand individual variability in medication response and to identify opportunities for optimizing treatment. In addition, participants may optionally provide microbiome samples. To maximize the value of the genomic data, participants who consent to this protocol will have their electronic health records-both retrospective and prospective-abstracted, curated, annotated, and linked to the genomic data generated through study testing. Given the long-term value of these data, participants may also voluntarily consent to the storage of their biological samples in a biobank and to the use of their de-identified information for future research. Data collected from this participant population will support efforts to advance the understanding of cancer biology, as well as the discovery and validation of biomarkers associated with clinical outcomes. Findings may also be shared through collaborative research initiatives to further promote advancements in cancer research.

Primary outcome measures

  • Percent of patients participating in comprehensive molecular profiling [Time frame: 5 years]
  • Percent of patients referred for cascade genetic testing [Time frame: 5 years]
  • Percent of patients referred for molecularly targeted clinical trials [Time frame: 5 years]
Secondary outcome measures (3)
  • Percent of patients that had therapy changed due to comprehensive molecular profiling [Time frame: 5 years]
  • Percent of patients that had therapy changed due to pharmacogenomic testing [Time frame: 5 years]
  • Percent of patient participating in microbiome collection and analysis [Time frame: 5 years]

Eligibility criteria

Inclusion criteria

  • Must be at least 18 years of age
  • Must be undergoing a workup or being followed for a premalignant condition or have a diagnosis of cancer
  • Must voluntarily sign and understand the most current IRB-approved consent form prior to study participation

Exclusion criteria

  • Participants incapable of understanding the items listed in the consent form and process
  • Participants with a history of or known psychiatric illness deemed unable to consent or adhere to study requirements

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Study design

Observational model
Other

Study locations

United States · 6 centers
  • Avera Cancer Institute - Marshall — Marshall
  • Avera Cancer Institute - Aberdeen — Aberdeen
  • Avera Cancer Institute - Mitchell — Mitchell
  • Avera Cancer Institute - Pierre — Pierre
  • Avera Cancer Institute — Sioux Falls
  • Avera Cancer Institute - Yankton — Yankton

Publications

  • Nakagawa H, Fujita M. Whole genome sequencing analysis for cancer genomics and precision medicine. Cancer Sci. 2018 Mar;109(3):513-522. doi: 10.1111/cas.13505. Epub 2018 Feb 26. PMID 29345757
  • Yi T, Feng Y, Sundaram R, Tie Y, Zheng H, Qian Y, You D, Yi T, Wang P, Zhao X. Antitumor efficacy of PARP inhibitors in homologous recombination deficient carcinomas. Int J Cancer. 2019 Sep 1;145(5):1209-1220. doi: 10.1002/ijc.32143. Epub 2019 Feb 23. PMID 30666631
  • Lee B, Tran B, Hsu AL, Taylor GR, Fox SB, Fellowes A, Marquis R, Mooi J, Desai J, Doig K, Ekert P, Gaff C, Herath D, Hamilton A, James P, Roberts A, Snyder R, Waring P, McArthur G. Exploring the feasibility and utility of exome-scale tumour sequencing in a clinical setting. Intern Med J. 2018 Jul;48(7):786-794. doi: 10.1111/imj.13806. PMID 29607586
  • Reda M, Richard C, Bertaut A, Niogret J, Collot T, Fumet JD, Blanc J, Truntzer C, Desmoulins I, Ladoire S, Hennequin A, Favier L, Bengrine L, Vincent J, Hervieu A, Dusserre JG, Lepage C, Foucher P, Borg C, Albuisson J, Arnould L, Nambot S, Faivre L, Boidot R, Ghiringhelli F. Implementation and use of whole exome sequencing for metastatic solid cancer. EBioMedicine. 2020 Jan;51:102624. doi: 10.1016 PMID 31923800
  • Beltran H, Eng K, Mosquera JM, Sigaras A, Romanel A, Rennert H, Kossai M, Pauli C, Faltas B, Fontugne J, Park K, Banfelder J, Prandi D, Madhukar N, Zhang T, Padilla J, Greco N, McNary TJ, Herrscher E, Wilkes D, MacDonald TY, Xue H, Vacic V, Emde AK, Oschwald D, Tan AY, Chen Z, Collins C, Gleave ME, Wang Y, Chakravarty D, Schiffman M, Kim R, Campagne F, Robinson BD, Nanus DM, Tagawa ST, Xiang JZ, S PMID 26181256
  • Samimi G, Bernardini MQ, Brody LC, Caga-Anan CF, Campbell IG, Chenevix-Trench G, Couch FJ, Dean M, de Hullu JA, Domchek SM, Drapkin R, Spencer Feigelson H, Friedlander M, Gaudet MM, Harmsen MG, Hurley K, James PA, Kwon JS, Lacbawan F, Lheureux S, Mai PL, Mechanic LE, Minasian LM, Myers ER, Robson ME, Ramus SJ, Rezende LF, Shaw PA, Slavin TP, Swisher EM, Takenaka M, Bowtell DD, Sherman ME. Tracebac PMID 28398847
  • Win AK, Jenkins MA, Dowty JG, Antoniou AC, Lee A, Giles GG, Buchanan DD, Clendenning M, Rosty C, Ahnen DJ, Thibodeau SN, Casey G, Gallinger S, Le Marchand L, Haile RW, Potter JD, Zheng Y, Lindor NM, Newcomb PA, Hopper JL, MacInnis RJ. Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer. Cancer Epidemiol Biomarkers Prev. 2017 Mar;26(3):404-412. doi: 10.1158/1055-9965.EPI-16 PMID 27799157
  • Maxwell KN, Domchek SM, Nathanson KL, Robson ME. Population Frequency of Germline BRCA1/2 Mutations. J Clin Oncol. 2016 Dec;34(34):4183-4185. doi: 10.1200/JCO.2016.67.0554. Epub 2016 Oct 31. No abstract available. PMID 27551127

Identifiers

NCT: NCT05142033 · ASAP Protocol

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗