Evidence map›Paper›PMID 24055426›Full record

ArticleUrologic oncology2014

Predicting response to bacillus Calmette-Guérin (BCG) in patients with carcinoma in situ of the bladder.

Rafael Nunez-Nateras, Erik P Castle, Cheryl A Protheroe, Melissa L Stanton, Tolgay I Ocal, Erin N Ferrigni, Sergei I Ochkur, Elizabeth A Jacobsen, Yue-Xian Hou, Paul E Andrews and 3 more

Open access · greenAbstract read
In one paragraph

Article in Urologic oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
  2. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  3. Article
  4. Review of BCG immunotherapy for bladder cancer.Clinical microbiology reviews · 2025
    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

13 authors at 2 institutions in 1 country.

Rafael Nunez-NaterasDepartment of Urology, Mayo Clinic Arizona, Phoenix, AZ. Electronic address: nunez.rafael@mayo.edu.
Erik P CastleDepartment of Urology, Mayo Clinic Arizona, Phoenix, AZ.
Cheryl A ProtheroeDepartment of Biochemistry and Molecular Biology, Mayo Clinic Arizona, Scottsdale, AZ.
Melissa L StantonDepartment of Laboratory Medicine/Pathology, Mayo Clinic Arizona, Scottsdale, AZ.
Tolgay I OcalDepartment of Laboratory Medicine/Pathology, Mayo Clinic Arizona, Scottsdale, AZ.
Erin N FerrigniDepartment of Urology, Mayo Clinic Arizona, Phoenix, AZ.
Sergei I OchkurDepartment of Biochemistry and Molecular Biology, Mayo Clinic Arizona, Scottsdale, AZ.
Elizabeth A JacobsenDepartment of Biochemistry and Molecular Biology, Mayo Clinic Arizona, Scottsdale, AZ.
Yue-Xian HouDepartment of Urology, Mayo Clinic Arizona, Phoenix, AZ.
Paul E AndrewsDepartment of Urology, Mayo Clinic Arizona, Phoenix, AZ.
Thomas V ColbyDepartment of Laboratory Medicine/Pathology, Mayo Clinic Arizona, Scottsdale, AZ.
Nancy A LeeDepartment of Biochemistry and Molecular Biology, Mayo Clinic Arizona, Scottsdale, AZ.
James J LeeDepartment of Urology, Mayo Clinic Arizona, Phoenix, AZ.
Mayo Clinic in Arizona · USMayo Clinic in Florida · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Eosinophil Recruitment and Activation in Solid TumorsR01CA112442 · NCI · MAYO CLINIC ARIZONA · PI LEE, JAMES JOSEPH · 2005 to 2009
$1.6M
Efficacy of BCG Therapy is a Function of Bladder Tumor Immune MicroenvironmentR21CA169709 · NCI · MAYO CLINIC ARIZONA · PI LEE, JAMES JOSEPH · 2013 to 2014
$392k
NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA112442NCI NIH HHS R21 CA169709
6 · The paper itself

Abstract

purposeCurrently, there is no reliable tool to predict response to intravesical bacillus Calmette-Guérin (BCG). Based on the fact that BCG is a Th1-polarizing immunotherapy, we attempt to correlate the pretreatment immunologic tumor microenvironment (Th1 or Th2) with response to therapy. MATERIALS AND

methodsBladder cancer patients with initial diagnosis of carcinoma in situ (Tis) were stratified based on their response to BCG treatment. A total of 38 patients met inclusion criteria (20 patients who responded and 18 patients who did not respond). Immunohistochemical (IHC) methods known to assess the type of immunologic microenvironment (Th1 vs. Th2) were performed on tumor tissue obtained at initial biopsy/resection: the level of tumor eosinophil infiltration and degranulation (Th2 response); the number of tumor-infiltrating GATA-3(+) (Th2-polarized) lymphocytes; and the number of tumor-infiltrating T-bet(+) (Th1-polarized) lymphocytes. Results obtained from these metrics were correlated with response to treatment with BCG immunotherapy.

resultsThe IHC metrics of the tumor immune microenvironment prior to BCG treatment were each statistically significant predictors of responders (R) vs. nonresponders (NR). Eosinophil infiltration and degranulation was higher for R vs. NR: 1.02 ± 0.17 vs. 0.5 ± 0.12 (P = 0.01) and 1.1 ± 0.15 vs. 0.56 ± 0.15 (P = 0.04), respectively. Ratio of GATA-3(+) (Th2-polarized) lymphocytes to T-bet(+) (Th1-polarized) lymphocytes was higher for R vs. NR: 4.85 ± 0.94 vs. 0.98 ± 0.19 (P<0.001). The 3 markers were combined to create a Th2 signature biomarker, which was a statistically significant (P<0.0001) predictor of R vs. NR. All IHC markers demonstrated that a preexisting Th1 immunologic environment within the tumor was predictive of BCG failure.

conclusionThe Th1 vs. Th2 polarization of bladder tumor immune microenvironment prior to treatment with BCG represents a prognostic metric of response to therapy. If a patient has a preexisting Th1 immunologic response within the tumor, there is no value in using a therapy intended to create a Th1 immunologic response. An algorithm integrating 3 IHC methods provided a sensitive and specific technique that may become a useful tool for pathologists and urologists to predict response to BCG in patients with carcinoma in situ of the bladder.

Indexed as

Adjuvants, ImmunologicAdministration, IntravesicalAgedBCG VaccineBiomarkers, TumorCarcinoma in SituCell DegranulationEosinophilsFemaleGATA3 Transcription FactorHumansImmunity, ActiveImmunohistochemistryImmunotherapyLymphocytesLymphocytes, Tumor-InfiltratingAdjuvants, ImmunologicBCG VaccineBiomarkers, TumorGATA3 Transcription FactorT-bet Transcription FactorT-Box Domain ProteinsBladder cancerDegranulationEosinophilsGATA-3T-betTumor immune microenvironment

Identifiers

PMID24055426
PMCPMC3953142
OpenAlexW2020244184

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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.