Evidence map›Paper›PMID 30069738›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2018

The potential predictive value of tumor budding for neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.

Tarkan Jäger, Daniel Neureiter, Mohammad Fallaha, Philipp Schredl, Tobias Kiesslich, Romana Urbas, Eckhard Klieser, Josef Holzinger, Felix Sedlmayer, Klaus Emmanuel and 1 more

Abstract read
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Tumor budding in gastric cancer.World journal of gastrointestinal surgery · 2023
    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

11 authors.

Tarkan JägerDepartment of Surgery, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria. ta.jaeger@salk.at.ORCID http://orcid.org/0000-0002-2390-0226
Daniel NeureiterInstitute of Pathology, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria.
Mohammad FallahaFaculty of Medicine, Imperial College School of Medicine, South Kensington, SW7 2AZ, London, UK.
Philipp SchredlDepartment of Surgery, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria.
Tobias KiesslichLaboratory for Tumor Biology and Experimental Therapies (TREAT), Institute for Physiology and Pathophysiology, Salzburg, Austria.
Romana UrbasInstitute of Pathology, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria.
Eckhard KlieserInstitute of Pathology, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria.
Josef HolzingerDepartment of Surgery, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria.
Felix SedlmayerDepartment of Radiotherapy and Radiation Oncology, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria.
Klaus EmmanuelDepartment of Surgery, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria.
Adam DinnewitzerDepartment of Surgery, Paracelsus Medical University, Muellner Hauptstraße 48, 5020, Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was conducted to investigate the potential predictive value of tumor budding for neoadjuvant chemoradiotherapy response in locally advanced rectal cancer. PATIENTS AND

methodsSurgical specimens of 128 ypUICC (Union for International Cancer Control) stage 0-III mid-to-low rectal cancer patients were identified from a prospectively maintained colorectal cancer database and classified into two groups using the 10 high-power field average method: none/mild tumor budding (BD-0) and moderate/severe tumor budding (BD-1). Overall survival, relapse-free survival (RFS), and recurrence estimates were calculated using the Kaplan-Meier method and compared with the log-rank test. For RFS, a multivariable Cox's proportional hazards regression analysis was performed.

resultsNo (n = 20) or mild (n = 27) tumor budding (BD-0) was identified in 47 (37%) and moderate (n = 52) or severe (n = 29) tumor budding (BD-1) in 81 (63%) surgical specimens. Positive tumor budding (BD-1) was associated with significantly reduced T‑level downstaging (P < 0.001) and tumor regression (P < 0.001). After a median follow-up time of 7 years (range 2.9-146.7 months), BD-0 patients had more favorable 5‑year RFS (90 vs. 71%, P = 0.02) and distant recurrence (2 vs. 12%, P = 0.03) estimates. Multivariable analyses confirmed BD-1 as a negative predictive parameter for RFS (hazard ratio = 3.44, 95% confidence interval 1.23-9.63, P = 0.018).

conclusionsOur data confirm tumor budding as a strong prognostic factor and its potential predictive value for neoadjuvant chemoradiotherapy response in locally advanced rectal cancer patients. This provides the opportunity to modify and individualize neoadjuvant therapy regimens for non-responders.

Indexed as

ChemoradiotherapyNeoadjuvant TherapyAgedCell Transformation, NeoplasticCombined Modality TherapyEpithelial-Mesenchymal TransitionFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingProportional Hazards ModelsProspective StudiesRectal NeoplasmsColorectal cancerEpithelial–mesenchymal transitionNeoadjuvant therapyPrognostic factorTumor microenvironment

Identifiers

PMID30069738
PMCPMC6208929

What OpenQuestion holds

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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.