Evidence map›Paper›PMID 35064453›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2022

A high tumour-stroma ratio (TSR) in colon tumours and its metastatic lymph nodes predicts poor cancer-free survival and chemo resistance.

M T A Strous, T K E Faes, A L H M Gubbels, R L A van der Linden, W E Mesker, K Bosscha, C M Bronkhorst, M L G Janssen-Heijnen, F J Vogelaar, A P de Bruïne

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Tumor-stroma ratio in colitis-associated colorectal cancer.Upsala journal of medical sciences · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Development of Tier 2 LC-MRM-MS protein quantification methods for liquid biopsies.Journal of mass spectrometry and advances in the clinical lab · 2023
    Article
  14. Article
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

10 authors at 4 institutions in 1 country.

M T A StrousDepartment of Surgery, VieCuri Medical Centre, Tegelseweg 210, 5912 BL, Venlo, The Netherlands. maudstrous@viecuri.nl.ORCID http://orcid.org/0000-0001-7116-4465
T K E FaesDepartment of Pathology, VieCuri Medical Centre, Venlo, The Netherlands.
A L H M GubbelsDepartment of Pathology, VieCuri Medical Centre, Venlo, The Netherlands.
R L A van der LindenDepartment of Surgery, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
W E MeskerDepartment of Pathology, Leiden University Medical Centre, Leiden, The Netherlands.
K BosschaDepartment of Surgery, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
C M BronkhorstDepartment of Pathology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.
M L G Janssen-HeijnenDepartment of Epidemiology, GROW School for Oncology and Developmental Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
F J VogelaarDepartment of Surgery, VieCuri Medical Centre, Tegelseweg 210, 5912 BL, Venlo, The Netherlands.
A P de BruïneDepartment of Pathology, VieCuri Medical Centre, Venlo, The Netherlands.
VieCuri Medisch Centrum · NLJeroen Bosch Ziekenhuis · NLMaastricht University · NLLeiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite known high-risk features, accurate identification of patients at high risk of cancer recurrence in colon cancer remains a challenge. As tumour stroma plays an important role in tumour invasion and metastasis, the easy, low-cost and highly reproducible tumour-stroma ratio (TSR) could be a valuable prognostic marker, which is also believed to predict chemo resistance.

methodsTwo independent series of patients with colon cancer were selected. TSR was estimated by microscopic analysis of 4 µm haematoxylin and eosin (H&E) stained tissue sections of the primary tumour and the corresponding metastatic lymph nodes. Patients were categorized as TSR-low (≤ 50%) or TSR-high (> 50%). Differences in overall survival and cancer-free survival were analysed by Kaplan-Meier curves and cox-regression analyses. Analyses were conducted for TNM-stage I-II, TNM-stage III and patients with an indication for chemotherapy separately.

resultsWe found that high TSR was associated with poor cancer-free survival in TNM-stage I-II colon cancer in two independent series, independent of other known high-risk features. This association was also found in TNM-stage III tumours, with an additional prognostic value of TSR in lymph node metastasis to TSR in the primary tumour alone. In addition, high TSR was found to predict chemo resistance in patients receiving adjuvant chemotherapy after surgical resection of a TNM-stage II-III colon tumour.

conclusionIn colon cancer, the TSR of both primary tumour and lymph node metastasis adds significant prognostic value to current pathologic and clinical features used for the identification of patients at high risk of cancer recurrence, and also predicts chemo resistance.

Indexed as

Colonic NeoplasmsNeoplasm Recurrence, LocalHumansLymphatic MetastasisLymph NodesNeoplasm StagingPrognosisRetrospective StudiesChemo resistanceColon cancerSurvivalTSRTumour stroma ratio

Identifiers

PMID35064453
OpenAlexW4207065305

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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.