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Record W3155792441 · doi:10.1016/j.urolonc.2021.03.005

Prognostic blood-based biomarkers in patients treated with neoadjuvant chemotherapy for urothelial carcinoma of the bladder: A systematic review

2021· review· en· W3155792441 on OpenAlexaff
Ekaterina Laukhtina, Benjamin Pradère, Keiichiro Mori, Victor M. Schuettfort, Fahad Quhal, Hadi Mostafaei, Reza Sari Motlagh, Abdulmajeed Aydh, Marco Moschini, Dmitry Enikeev, Pierre I. Karakiewicz, Mohammad Abufaraj, Shahrokh F. Shariat

Bibliographic record

VenueUrologic Oncology Seminars and Original Investigations · 2021
Typereview
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversité de MontréalMcGill University Health Centre
Fundersnot available
KeywordsMedicineInternal medicineOncologyLymphocyteBladder cancerChemotherapyGastroenterologyCD8CancerImmunologyImmune system

Abstract

fetched live from OpenAlex

PURPOSE: The present systematic review aimed to identify prognostic values of blood-based biomarkers in patients treated with neoadjuvant chemotherapy (NAC) for urothelial carcinoma of the bladder (UCB). MATERIAL AND METHODS: The PubMed, Web of Science, and Scopus databases were searched in August 2020 according to the PRISMA statement. Studies were deemed eligible if they compared oncological outcomes in patients treated with NAC for UCB with and without pretreatment laboratory abnormalities. RESULTS: Overall, ten studies, including 966 patients who underwent NAC, met our eligibility criteria. Six studies provided data on pretreatment neutrophil to lymphocyte ratio (NLR) with contradicting results on its association with pathologic response (PR) and complete pathologic response (pCR); some studies reported a strong association between a high level of pretreatment NLR and worse survival outcomes. Two studies reported that higher pretreatment platelet-lymphocyte ratio (PLR) is associated with a lower likelihood of achieving PR and/or pCR, while lymphocyte count alone had the opposite association. One study reported a negative association between pretreatment blood-based myeloid-derived suppressors cells and pCR. Patients who experienced a remission have been reported to have higher level of lymphocyte subsets (CD3+, CD4+, CD57+ cells, the ratio of CD4+/CD8+) compared to those who had progression. One study found that low pretreatment blood-based human chorionic gonadotrophin b subunit (hCGβ) was associated with improved overall survival (OS). High levels of epithelial tumor markers (CA-125, CA 19-9) were also associated with worse OS and recurrence-free survival in the NAC setting. CONCLUSION: Current evidence suggests that several readily available, easy measurable blood-based biomarkers hold promise to improve our selection of UCB patients who are likely benefit from NAC. However, their role as an adjunct to established histopathologic characteristics for clinical decision-making requires further validation along the biomarker phased approach.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.007
Bibliometrics0.0080.010
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.315
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2021
Admission routes1
Has abstractyes

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