Trial reportAnnals of nuclear medicine2019
The use of 3'-deoxy-3'-
Trial report in Annals of nuclear medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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
8 citing papers in PubMed.
- Observational
- Innovations in Positron Emission Tomography and State of the Art in the Evaluation of Breast Cancer Treatment Response.Journal of clinical medicine · 2023Review
- Evaluating the Accuracy of FUCCI Cell Cycle In Vivo Fluorescent Imaging to Assess Tumor Proliferation in Preclinical Oncology Models.Molecular imaging and biology · 2022Article
- Impact on the long-term prognosis of FDG PET/CT in luminal-A and luminal-B breast cancer.Nuclear medicine communications · 2022Article
- STING-driven interferon signaling triggers metabolic alterations in pancreas cancer cells visualized by [Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
- Interest and Limits of [Frontiers in oncology · 2021Review
- Imaging for Response Assessment in Cancer Clinical Trials.Seminars in nuclear medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectiveTo assess the role of serial FLT-PET scans during early neoadjuvant treatment as a prognostic marker of response to treatment and survival.
methodsThis study is a prospective cohort study which draws from a larger original study which examined the utility of FLT-PET imaging across multiple cancers. Our cohort consisted of patients who had biopsy-confirmed breast cancer amenable to surgical resection. These patients underwent serial FLT-PET scans: the first scan prior to starting neoadjuvant chemotherapy (NAC), and a second scan shortly after starting NAC. SUV
results16 patients (n = 16) met criteria for inclusion and successfully underwent FLT-PET scans in the prescribed sequence of events. Seven of these patients had a decrease of 20% or larger between the two serial PET scans, making them "responders". The remaining nine patients were "non-responders" to NAC based on PET imaging. Between responders and non-responders, there was no significant difference in median PFS (7.9 years versus 3.7 years; p = 0.425) and median OS (7.5 years versus 5.0 years; p = 0.944). In the 14 patients who underwent surgical resection (n = 14), there was no significant difference in the rate of achieving pCR (33% vs. 14%; p = 0.5846) between responders and non-responders.
conclusionFurther study of a larger sample size is needed to examine the potential role for FLT-PET in predicting response to neoadjuvant treatment, particularly in correlating with long-term overall and progression-free survival. Our study is limited by small sample size, but does suggest that FLT-PET has a role in the long-term prognosis of breast cancer treated with NAC and surgical resection which is worthy of further study.
Indexed as
Identifiers
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.