Evidence map›Paper›PMID 34487294›Full record

ReviewBreast cancer research and treatment2021

Seeing the forest and the tree: TILs and PD-L1 as immune biomarkers.

Peter Savas, Roberto Salgado, Sherene Loi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Incorporation of TILs in daily breast cancer care: how much evidence can we bear?Virchows Archiv : an international journal of pathology · 2022
    Review
  11. 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

3 authors.

Peter SavasPeter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.ORCID http://orcid.org/0000-0001-5999-428X
Roberto SalgadoPeter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.ORCID http://orcid.org/0000-0002-1110-3801
Sherene LoiPeter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia. sherene.loi@petermac.org.ORCID http://orcid.org/0000-0001-6137-9171

Funding

Breast Cancer Research Foundation 17-194
6 · The paper itself

Abstract

Here we will provide an immune-focussed overview of biomarkers in early and advanced stage breast cancer. It should be noted from the outset that all the biomarkers under discussion here have not been tested in prospective clinical trials to determine their predictive performance. Such trials require very large sample sizes due to the statistical burden of testing an interaction between a treatment and a biomarker, which is compounded by the heterogeneous biology of breast cancer (Polley et al. in J Natl Cancer Inst 105:1677-1683 2013 [1]). For a detailed discussion of the immunobiology of breast cancer, analytical aspects of these biomarkers, emerging biomarkers such as tumour mutation burden and detailed immunotherapy clinical trial data, see other articles in this issue.

Indexed as

B7-H1 AntigenBreast NeoplasmsBiomarkers, TumorFemaleHumansLymphocytes, Tumor-InfiltratingPrognosisProspective StudiesB7-H1 AntigenBiomarkers, TumorBiomarkersBreast cancerImmunotherapyPD-L1Tumour-infiltrating lymphocytes

Identifiers

What OpenQuestion holds

Textmetadata
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.