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Progress Worth Acting On: Who Decides When a Cancer Result Counts, by When, and What Reopens It · The study

Sources and bibliography

By RISCON Labs AI from public-domain and openly licensed sources on cancer research and its evaluation · not medical advice · the readings through the works named are this study's interpretation · First edition · October 2026

AI-generated editorial illustration: A closed specimen carrier rests between a laboratory and an empty consultation room.
Progress Worth Acting On: Who Decides When a Cancer Result Counts, by When, and What Reopens ItOpening
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In this part
  1. Bibliography

This study is an expansion by AI of ten public texts on cancer research and its evaluation. Four are works of the United States government, in the public domain: two sections of the 21st Century Cures Act, two pages of the National Cancer Institute (the Cancer Moonshot and the National Cancer Plan) and a page of the FDA's Oncology Center of Excellence (Project Optimus). Six are articles published under the Creative Commons Attribution 4.0 licence, read in full from PubMed Central. Every passage in a block quote is one of these texts, word for word, and its source line names the saved file; the rest is AI writing. Nothing here is medical, clinical, regulatory or investment advice, and nothing here is a view on any drug's or test's value to patients. The readings through the works named are this study's interpretation.

TextLicenceAddress
21st Century Cures Act (Public Law 114-255), Sec. 1001 'Beau Biden Cancer Moonshot and NIH Innovation Projects' and Sec. 2011 (Precision Medicine Initiative) (excerpt) (2016), sources/21st-century-cures-act-pl114-255-sec1001-2011.mdPublic domain (United States government work)https://www.govinfo.gov/content/pkg/PLAW-114publ255/html/PLAW-114publ255.htm
Estimating the population health impact of a multi-cancer early detection genomic blood test to complement existing screening in the US and UK (2021), sources/hackshaw-2021-estimating-population-health-impact.mdCC BY 4.0https://pmc.ncbi.nlm.nih.gov/articles/PMC8575970/
Estimation of the Percentage of US Patients With Cancer Who Are Eligible for and Respond to Checkpoint Inhibitor Immunotherapy Drugs (2019), sources/haslam-2019-estimation-percentage-us-patients.mdCC BY 4.0https://pmc.ncbi.nlm.nih.gov/articles/PMC6503493/
Surrogate endpoints in oncology: when are they acceptable for regulatory and clinical decisions, and are they currently overused? (2017), sources/kemp-2017-surrogate-endpoints-oncology-when.mdCC BY 4.0https://pmc.ncbi.nlm.nih.gov/articles/PMC5520356/
Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer (2023), sources/rojas-2023-personalized-rna-neoantigen-vaccines.mdCC BY 4.0https://pmc.ncbi.nlm.nih.gov/articles/PMC10171177/
Multi-omic machine learning predictor of breast cancer therapy response (2021), sources/sammut-2021-multi-omic-machine-learning.mdCC BY 4.0https://pmc.ncbi.nlm.nih.gov/articles/PMC8791834/
Estimation of clinical trial success rates and related parameters (2019), sources/wong-2019-estimation-clinical-trial-success.mdCC BY 4.0https://pmc.ncbi.nlm.nih.gov/articles/PMC6409418/
Cancer Moonshot (NCI initiative page; the Blue Ribbon Panel URL redirects to this same page) (2025), sources/nci-cancer-moonshot-initiative-page.mdPublic domain (United States government work)https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative
National Cancer Plan: Everyone Has a Role (landing page) (2025), sources/national-cancer-plan-landing-page.mdPublic domain (United States government work)https://nationalcancerplan.cancer.gov/
Project Optimus: Reforming the dose optimization and dose selection paradigm in oncology (2025), sources/fda-project-optimus-page.mdPublic domain (United States government work)https://www.fda.gov/about-fda/oncology-center-excellence/project-optimus

The texts were retrieved on 2026-10-06. Pages that could not be retrieved, among them the 2016 report of the Moonshot's expert panel, are not quoted or used. This book was written on 2026-10-07.

Bibliography

  • Robert Kemp and Vinay Prasad, Surrogate endpoints in oncology: when are they acceptable for regulatory and clinical decisions, and are they currently overused? (2017).
  • Alyson Haslam and Vinay Prasad, Estimation of the Percentage of US Patients With Cancer Who Are Eligible for and Respond to Checkpoint Inhibitor Immunotherapy Drugs (2019).
  • Allan Hackshaw and others, Estimating the population health impact of a multi-cancer early detection genomic blood test to complement existing screening in the US and UK (2021).
  • Chi Heem Wong and others, Estimation of clinical trial success rates and related parameters (2019).
  • Stephen-John Sammut and others, Multi-omic machine learning predictor of breast cancer therapy response (2021).
  • Luis A. Rojas and others, Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer (2023).
  • Bishal Gyawali and others, Assessment of the Clinical Benefit of Cancer Drugs Receiving Accelerated Approval (2019).
  • Alyson Haslam and others, Overall survival for oncology drugs approved for genomic indications (2022).
  • Elizabeth M. Jaffee and others, Future cancer research priorities in the USA: a Lancet Oncology Commission (2017).
  • E. A. Klein and others, Clinical validation of a targeted methylation-based multi-cancer early detection test using an independent validation set (2021).
  • U.S. Congress, 21st Century Cures Act (2016): Public Law 114-255, sections 1001 and 2011.
  • National Cancer Institute, Cancer Moonshot (2025): NCI initiative page.
  • National Cancer Institute, National Cancer Plan: Everyone Has a Role (2025): landing page.
  • U.S. Food and Drug Administration, Project Optimus: Reforming the dose optimization and dose selection paradigm in oncology (2025): page of the Oncology Center of Excellence.

Every sentence in a quotation block is IATHEON's record, word for word. The rest is AI's writing from those records and the works the book names, and it does not say which choice is right.

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