Evidence map›Paper›PMID 33495117›Full record

ArticleUrologic oncology2021

Characterization of outcomes in patients with advanced genitourinary malignancies treated with immune checkpoint inhibitors.

Vincent T Ma, Christopher T Su, Miriam Hu, Jeremy M G Taylor, Stephanie Daignault-Newton, Olesia Kellezi, Megan N Dahl, Miloni A Shah, Stephanie Erickson, Jessica Lora and 8 more

Open access · greenAbstract read
In one paragraph

Article in Urologic oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  5. Review
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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

18 authors at 1 institution in 1 country.

Vincent T MaDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI. Electronic address: vma@med.umich.edu.
Christopher T SuDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI.
Miriam HuDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Jeremy M G TaylorDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Stephanie Daignault-NewtonDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Olesia KelleziDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI.
Megan N DahlCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI.
Miloni A ShahCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI.
Stephanie EricksonDepartment of PreMedical PostBaccalaureate, University of Michigan, Ann Arbor, MI.
Jessica LoraCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI.
Reema HamashaDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI.
Alicia AliDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI.
Sabrina YanceyCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI.
Leah KirosCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI.
Hannah M BalickiCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI.
Daniel C WinfieldDepartment of PreMedical PostBaccalaureate, University of Michigan, Ann Arbor, MI.
Michael D GreenDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI.
Ajjai S AlvaDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI.
University of Michigan–Ann Arbor · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
Biostatistics Training Program in Cancer ResearchT32CA083654 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Veerabhadran Baladandayuthapani, Kelley McLain Kidwell · 2002 to 2026
$4.3M
NCI NIH HHS P30 CA046592NCI NIH HHS T32 CA083654
6 · The paper itself

Abstract

purposeSeveral immune checkpoint inhibitors (ICIs) are FDA approved for treatment of genitourinary (GU) malignancies. We aim to determine demographic and clinicopathologic characteristics that significantly affect clinical outcomes in patients with advanced stage GU malignancies treated with ICIs. MATERIALS AND

methodsWe performed a single-center, consecutive, retrospective cohort analysis on patients with metastatic or unresectable GU malignancies who were treated with ICIs at the University of Michigan. Immune-related adverse events (irAEs), putative immune-mediated allergies, and overall response rates (ORR) were assessed. Comorbidity index scores were calculated. Survival analysis was performed to evaluate progression-free survival (PFS) and overall survival (OS), stratifying and controlling for a variety of clinicopathologic baseline factors including site of metastases.

resultsA total of 160 patients were identified with advanced renal cell carcinoma (RCC) or urothelial carcinoma. Median PFS and OS were 5.0 and 23.6 months for RCC, and 2.8 and 9.6 months for urothelial carcinoma, respectively. Patients who experienced increased frequency and higher grade irAEs had better ICI treatment response (P < 0.0001). Presence of liver metastases was associated with poor response to ICI therapy (P = 0.001). Multivariable modeling demonstrates that patients with urothelial carcinoma and liver metastases had statistically worse PFS and OS compared to patients with RCC or other sites of metastases, respectively.

conclusionGreater frequency and higher grades of irAEs are associated with better treatment response in patients with RCC and urothelial malignancy receiving ICI therapy. The presence of liver metastases denotes a negative predictive marker for immunotherapy efficacy. SUMMARY: Immune checkpoint inhibitors (ICI) are increasingly used to treat genitourinary (GU) malignancies. However, clinical data regarding patients with advanced-stage GU malignancies treated with ICI is lacking. Thus, we performed a single-center, retrospective cohort study on patients with metastatic and unresectable renal cell carcinoma (RCC) and urothelial carcinoma who were treated with ICIs at the University of Michigan to provide demographic and clinicopathologic data regarding this population. We specifically focused on immune-related adverse events (irAEs), immune-mediated allergies, and the associated overall response rates (ORR). To better assess performance status, we calculated comorbidity scores for all patients. Finally, survival analyses for progression-free survival (PFS) and overall survival (OS) were performed using Kaplan-Meier analysis and Cox proportional hazards modeling, stratifying and controlling for clinicopathologic baseline factors, including sites of metastases, in our multivariable analysis. A total of 160 patients were identified with advanced RCC or urothelial carcinoma. We found decreased PFS (2.8 vs. 5.0 months) and decreased OS (9.8 vs. 23.6 months) for urothelial carcinoma compared to RCC patients. We noted that patients who experienced increased frequency and higher grades of irAEs had better treatment ORR with ICI therapy (P ≤ 0.0001). The presence of liver metastases was associated with worse ORR (P = 0.001), PFS (P = 0.0014), and OS (P = 0.0028) compared to other sites of metastases including lymph node, lung, and CNS/bone. The poor PFS and OS associated with urothelial carcinoma and liver metastases were preserved in our multivariable modeling after controlling for pertinent clinical factors. We conclude that greater frequency and higher grades of irAEs are associated with better treatment response in GU malignancy patients receiving ICI, a finding that is consistent with published studies in other cancers. The presence of liver metastases represents a significantly poor predictive marker in GU malignancy treated with ICI. Our findings contribute to the growing body of literature that seeks to understand the clinicopathologic variables and outcomes associated with ICI therapy.

Indexed as

AgedAged, 80 and overCohort StudiesFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedNeoplasm StagingProgression-Free SurvivalRetrospective StudiesTreatment OutcomeUrogenital NeoplasmsImmune Checkpoint InhibitorsGenitourinary malignancyImmune checkpoint inhibitorsImmune-related adverse eventsLiver metastasesRenal cell carcinomaUrothelial carcinoma

Identifiers

PMID33495117
PMCPMC8286282
OpenAlexW3125629250

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Registered trials

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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.