Cargando…

Clinical and cost outcomes following genomics‐informed treatment for advanced cancers

BACKGROUND: Single‐arm trials are common in precision oncology. Owing to the lack of randomized counterfactual, resultant data are not amenable to comparative outcomes analyses. Difference‐in‐difference (DID) methods present an opportunity to generate causal estimates of time‐varying treatment outco...

Descripción completa

Detalles Bibliográficos
Autores principales: Weymann, Deirdre, Pollard, Samantha, Chan, Brandon, Titmuss, Emma, Bohm, Alexandra, Laskin, Janessa, Jones, Steven J. M., Pleasance, Erin, Nelson, Jessica, Fok, Alexandra, Lim, Howard, Karsan, Aly, Renouf, Daniel J., Schrader, Kasmintan A., Sun, Sophie, Yip, Stephen, Schaeffer, David F., Marra, Marco A., Regier, Dean A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335838/
https://www.ncbi.nlm.nih.gov/pubmed/34152087
http://dx.doi.org/10.1002/cam4.4076
_version_ 1783733206665658368
author Weymann, Deirdre
Pollard, Samantha
Chan, Brandon
Titmuss, Emma
Bohm, Alexandra
Laskin, Janessa
Jones, Steven J. M.
Pleasance, Erin
Nelson, Jessica
Fok, Alexandra
Lim, Howard
Karsan, Aly
Renouf, Daniel J.
Schrader, Kasmintan A.
Sun, Sophie
Yip, Stephen
Schaeffer, David F.
Marra, Marco A.
Regier, Dean A.
author_facet Weymann, Deirdre
Pollard, Samantha
Chan, Brandon
Titmuss, Emma
Bohm, Alexandra
Laskin, Janessa
Jones, Steven J. M.
Pleasance, Erin
Nelson, Jessica
Fok, Alexandra
Lim, Howard
Karsan, Aly
Renouf, Daniel J.
Schrader, Kasmintan A.
Sun, Sophie
Yip, Stephen
Schaeffer, David F.
Marra, Marco A.
Regier, Dean A.
author_sort Weymann, Deirdre
collection PubMed
description BACKGROUND: Single‐arm trials are common in precision oncology. Owing to the lack of randomized counterfactual, resultant data are not amenable to comparative outcomes analyses. Difference‐in‐difference (DID) methods present an opportunity to generate causal estimates of time‐varying treatment outcomes. Using DID, our study estimates within‐cohort effects of genomics‐informed treatment versus standard care on clinical and cost outcomes. METHODS: We focus on adults with advanced cancers enrolled in the single‐arm BC Cancer Personalized OncoGenomics program between 2012 and 2017. All individuals had a minimum of 1‐year follow up. Logistic regression explored baseline differences across patients who received a genomics‐informed treatment versus a standard care treatment after genomic sequencing. DID estimated the incremental effects of genomics‐informed treatment on time to treatment discontinuation (TTD), time to next treatment (TTNT), and costs. TTD and TTNT correlate with improved response and survival. RESULTS: Our study cohort included 346 patients, of whom 140 (40%) received genomics‐informed treatment after sequencing and 206 (60%) received standard care treatment. No significant differences in baseline characteristics were detected across treatment groups. DID estimated that the incremental effect of genomics‐informed versus standard care treatment was 102 days (95% CI: 35, 167) on TTD, 91 days (95% CI: −9, 175) on TTNT, and CAD$91,098 (95% CI: $46,848, $176,598) on costs. Effects were most pronounced in gastrointestinal cancer patients. CONCLUSIONS: Genomics‐informed treatment had a statistically significant effect on TTD compared to standard care treatment, but at increased treatment costs. Within‐cohort evidence generated through this single‐arm study informs the early‐stage comparative effectiveness of precision oncology.
format Online
Article
Text
id pubmed-8335838
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-83358382021-08-09 Clinical and cost outcomes following genomics‐informed treatment for advanced cancers Weymann, Deirdre Pollard, Samantha Chan, Brandon Titmuss, Emma Bohm, Alexandra Laskin, Janessa Jones, Steven J. M. Pleasance, Erin Nelson, Jessica Fok, Alexandra Lim, Howard Karsan, Aly Renouf, Daniel J. Schrader, Kasmintan A. Sun, Sophie Yip, Stephen Schaeffer, David F. Marra, Marco A. Regier, Dean A. Cancer Med Clinical Cancer Research BACKGROUND: Single‐arm trials are common in precision oncology. Owing to the lack of randomized counterfactual, resultant data are not amenable to comparative outcomes analyses. Difference‐in‐difference (DID) methods present an opportunity to generate causal estimates of time‐varying treatment outcomes. Using DID, our study estimates within‐cohort effects of genomics‐informed treatment versus standard care on clinical and cost outcomes. METHODS: We focus on adults with advanced cancers enrolled in the single‐arm BC Cancer Personalized OncoGenomics program between 2012 and 2017. All individuals had a minimum of 1‐year follow up. Logistic regression explored baseline differences across patients who received a genomics‐informed treatment versus a standard care treatment after genomic sequencing. DID estimated the incremental effects of genomics‐informed treatment on time to treatment discontinuation (TTD), time to next treatment (TTNT), and costs. TTD and TTNT correlate with improved response and survival. RESULTS: Our study cohort included 346 patients, of whom 140 (40%) received genomics‐informed treatment after sequencing and 206 (60%) received standard care treatment. No significant differences in baseline characteristics were detected across treatment groups. DID estimated that the incremental effect of genomics‐informed versus standard care treatment was 102 days (95% CI: 35, 167) on TTD, 91 days (95% CI: −9, 175) on TTNT, and CAD$91,098 (95% CI: $46,848, $176,598) on costs. Effects were most pronounced in gastrointestinal cancer patients. CONCLUSIONS: Genomics‐informed treatment had a statistically significant effect on TTD compared to standard care treatment, but at increased treatment costs. Within‐cohort evidence generated through this single‐arm study informs the early‐stage comparative effectiveness of precision oncology. John Wiley and Sons Inc. 2021-06-21 /pmc/articles/PMC8335838/ /pubmed/34152087 http://dx.doi.org/10.1002/cam4.4076 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Weymann, Deirdre
Pollard, Samantha
Chan, Brandon
Titmuss, Emma
Bohm, Alexandra
Laskin, Janessa
Jones, Steven J. M.
Pleasance, Erin
Nelson, Jessica
Fok, Alexandra
Lim, Howard
Karsan, Aly
Renouf, Daniel J.
Schrader, Kasmintan A.
Sun, Sophie
Yip, Stephen
Schaeffer, David F.
Marra, Marco A.
Regier, Dean A.
Clinical and cost outcomes following genomics‐informed treatment for advanced cancers
title Clinical and cost outcomes following genomics‐informed treatment for advanced cancers
title_full Clinical and cost outcomes following genomics‐informed treatment for advanced cancers
title_fullStr Clinical and cost outcomes following genomics‐informed treatment for advanced cancers
title_full_unstemmed Clinical and cost outcomes following genomics‐informed treatment for advanced cancers
title_short Clinical and cost outcomes following genomics‐informed treatment for advanced cancers
title_sort clinical and cost outcomes following genomics‐informed treatment for advanced cancers
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335838/
https://www.ncbi.nlm.nih.gov/pubmed/34152087
http://dx.doi.org/10.1002/cam4.4076
work_keys_str_mv AT weymanndeirdre clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT pollardsamantha clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT chanbrandon clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT titmussemma clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT bohmalexandra clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT laskinjanessa clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT jonesstevenjm clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT pleasanceerin clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT nelsonjessica clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT fokalexandra clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT limhoward clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT karsanaly clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT renoufdanielj clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT schraderkasmintana clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT sunsophie clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT yipstephen clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT schaefferdavidf clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT marramarcoa clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers
AT regierdeana clinicalandcostoutcomesfollowinggenomicsinformedtreatmentforadvancedcancers