Evidence map›Paper›PMID 32656671›Full record

ArticleWorld journal of urology2021

Positive Ki-67 and PD-L1 expression in post-neoadjuvant chemotherapy muscle-invasive bladder cancer is associated with shorter overall survival: a retrospective study.

Selene Rubino, Youngchul Kim, Junmin Zhou, Jasreman Dhilon, Roger Li, Philippe Spiess, Michael Poch, Brandon J Manley, Julio Pow-Sang, Scott Gilbert and 2 more

Open access · greenAbstract read
In one paragraph

Article in World journal of urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Selene RubinoMorsani College of Medicine, University of South Florida, Tampa, FL, USA.
Youngchul KimDepartment of Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Junmin ZhouDepartment of Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Jasreman DhilonDepartment of Pathology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Roger LiDepartment of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, WCB-GU, Tampa, FL, 33612, USA.
Philippe SpiessDepartment of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, WCB-GU, Tampa, FL, 33612, USA.
Michael PochDepartment of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, WCB-GU, Tampa, FL, 33612, USA.
Brandon J ManleyDepartment of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, WCB-GU, Tampa, FL, 33612, USA.
Julio Pow-SangDepartment of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, WCB-GU, Tampa, FL, 33612, USA.
Scott GilbertDepartment of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, WCB-GU, Tampa, FL, 33612, USA.
Wade SextonDepartment of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, WCB-GU, Tampa, FL, 33612, USA.
Jingsong ZhangDepartment of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, WCB-GU, Tampa, FL, 33612, USA. Jingsong.zhang@moffitt.org.ORCID http://orcid.org/0000-0003-1192-5116
Moffitt Cancer Center · USUniversity of South Florida · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
"Research Supplement to Promote Diversity in Health-Related Research", as part of Moffitt PS-OC, "Cancer as a Complex adaptive System"U54CA193489 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, GATENBY, ROBERT A · 2015 to 2020
$12.5M
NCI NIH HHS P30 CA076292NCI NIH HHS U54 CA193489
6 · The paper itself

Abstract

purposeThere is an unmet need to develop prognostic biomarkers in post-neoadjuvant chemotherapy (NAC) muscle-invasive bladder cancer (MIBC) patients. We examine whether Ki-67 and PD-L1 expression can be used to guide adjuvant therapy.

methodsTissue microarrays were constructed from 130 post-NAC radical cystectomy samples. Up to 5 cores per sample were included. Expressions of Ki-67 and PD-L1 were evaluated using immunohistochemistry (IHC).

resultsUsing a Cox regression model, positive Ki-67 expression in post-NAC radical cystectomy samples was associated with poorer overall survival (OS) (HR = 2.412, 95% CI, 1.076-5.408), independent of the pathological lymph node/N-stage. Positive Ki-67 expression was also associated with lack of tumor downstaging in a multivariable logistic regression model analysis (OR = 0.081, 95% CI, 0.014-0.464). PD-L1

conclusionPositive Ki-67 and PD-L1 expression in post-NAC radical cystectomy samples was associated with inferior OS and absence of tumor downstaging. IHC on Ki-67 and PD-L1 would help to select patients for adjuvant therapy in post-NAC muscle-invasive bladder cancer.

Indexed as

AdultAgedAged, 80 and overB7-H1 AntigenFemaleHumansKi-67 AntigenMaleMiddle AgedNeoadjuvant TherapyNeoplasm InvasivenessRetrospective StudiesSurvival RateTime FactorsUrinary Bladder NeoplasmsB7-H1 AntigenCD274 protein, humanKi-67 AntigenKi-67Muscle-invasive bladder cancer neoadjuvant chemotherapyPD-L1

Identifiers

PMID32656671
PMCPMC10091226
OpenAlexW3041729705

What OpenQuestion holds

Textmetadata
LicenceTDM
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.