Evidence map›Paper›PMID 37962929›Full record

ArticleJMIR research protocols2023

Drug Repurposing for Cancers With Limited Survival: Protocol for a Retrospective Cohort Study.

Alejandro Rodríguez-Molinero, Carlos Pérez-López, Jose L Salazar González, Esther Garcia-Lerma, Juan A Álvarez-García, Luis M Soria Morillo, Tomás Salas Fernández

Abstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Alejandro Rodríguez-MolineroÀrea de Recerca, Consorci Sanitari de l'Alt Penedès i Garraf, Vilafranca del Penedès, Spain.ORCID https://orcid.org/0000-0002-9678-2654
Carlos Pérez-LópezÀrea de Recerca, Consorci Sanitari de l'Alt Penedès i Garraf, Vilafranca del Penedès, Spain.ORCID https://orcid.org/0000-0001-7400-4360
Jose L Salazar GonzálezDpto de Lenguajes y Sistemas Informáticos, Universidad de Sevilla, Sevilla, Spain.ORCID https://orcid.org/0000-0002-4823-3749
Esther Garcia-LermaBiostatistics Unit, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.ORCID https://orcid.org/0009-0005-3415-7326
Juan A Álvarez-GarcíaDpto de Lenguajes y Sistemas Informáticos, Universidad de Sevilla, Sevilla, Spain.ORCID https://orcid.org/0000-0002-4106-6044
Luis M Soria MorilloDpto de Lenguajes y Sistemas Informáticos, Universidad de Sevilla, Sevilla, Spain.ORCID https://orcid.org/0000-0002-6794-9179
Tomás Salas FernándezAgency for Health Quality and Assessment of Catalonia, Barcelona, Spain.ORCID https://orcid.org/0009-0002-2009-1731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnly 5% of the molecules tested in oncology phase 1 trials reach the market after an average of 7.5 years of waiting and at a cost of tens of millions of dollars. To reduce the cost and shorten the time of discovery of new treatments, "drug repurposing" (research with molecules already approved for another indication) and the use of secondary data (not collected for the purpose of research) have been proposed. Due to advances in informatics in clinical care, secondary data can, in some cases, be of equal quality to primary data generated through prospective studies.

objectiveThe objective of this study is to identify drugs currently marketed for other indications that may have an effect on the prognosis of patients with cancer.

methodsWe plan to monitor a cohort of patients with high-lethality cancers treated in the public health system of Catalonia between 2006 and 2012, retrospectively, for survival for 5 years after diagnosis or until death. A control cohort, comprising people without cancer, will also be retrospectively monitored for 5 years. The following study variables will be extracted from different population databases: type of cancer (patients with cancer cohort), date and cause of death, pharmacological treatment, sex, age, and place of residence. During the first stage of statistical analysis of the patients with cancer cohort, the drugs consumed by the long-term survivors (alive at 5 years) will be compared with those consumed by nonsurvivors. In the second stage, the survival associated with the consumption of each relevant drug will be analyzed. For the analyses, groups will be matched for potentially confounding variables, and multivariate analyses will be performed to adjust for residual confounding variables if necessary. The control cohort will be used to verify whether the associations found are exclusive to patients with cancer or whether they also occur in patients without cancer.

resultsWe anticipate discovering multiple significant associations between commonly used drugs and the survival outcomes of patients with cancer. We expect to publish the initial results in the first half of 2024.

conclusionsThis retrospective study may identify several commonly used drugs as candidates for repurposing in the treatment of various cancers. All analyses are considered exploratory; therefore, the results will have to be confirmed in subsequent clinical trials. However, the results of this study may accelerate drug discovery in oncology. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48925.

Indexed as

cancerdeathdrug repurposingepidemiologymortalityoncologypharmacoepidemiologypharmacologyside effectssurvivalsurvivors

Identifiers

PMID37962929
PMCPMC10686206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.