Evidence map›Paper›PMID 36176910›Full record

ArticleActa pharmaceutica Sinica. B2022

An integrative approach of digital image analysis and transcriptome profiling to explore potential predictive biomarkers for TGF

Robert Pomponio, Qi Tang, Anthony Mei, Anne Caron, Bema Coulibaly, Joachim Theilhaber, Maximilian Rogers-Grazado, Michele Sanicola-Nadel, Souad Naimi, Reza Olfati-Saber and 4 more

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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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

14 authors.

Robert PomponioSanofi Translational Medicine Early Development Cambridge, MA 02142, USA.
Qi TangSanofi Artificial Intelligence and Deep Analytics Data and Data Sciences, Cambridge, MA 02142, USA.
Anthony MeiSanofi Artificial Intelligence and Deep Analytics Data and Data Sciences, Cambridge, MA 02142, USA.
Anne CaronSanofi Translational Science, Vitry sur Seine 94403, France.
Bema CoulibalySanofi Translational Science, Vitry sur Seine 94403, France.
Joachim TheilhaberSanofi Precision Oncology Cambridge, MA 02142, USA.
Maximilian Rogers-GrazadoSanofi Precision Oncology Cambridge, MA 02142, USA.
Michele Sanicola-NadelSanofi Oncology Early Development Cambridge, MA 02142, USA.
Souad NaimiSanofi Translational Science, Vitry sur Seine 94403, France.
Reza Olfati-SaberSanofi Artificial Intelligence and Deep Analytics Data and Data Sciences, Cambridge, MA 02142, USA.
Cecile CombeauSanofi Translational Medicine Early Development Cambridge, MA 02142, USA.
Jack PollardSanofi Precision Oncology Cambridge, MA 02142, USA.
Tun Tun LinSanofi Oncology Early Development Cambridge, MA 02142, USA.
Rui WangSanofi Translational Medicine Early Development Cambridge, MA 02142, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence suggests that the presence and spatial localization and distribution pattern of tumor infiltrating lymphocytes (TILs) is associate with response to immunotherapies. Recent studies have identified TGF

Indexed as

Artificial intelligenceDigital pathologyMachine learningPredictive biomarkerT cell infiltrationTGFβTranscriptomic profilingTumor topography

Identifiers

PMID36176910
PMCPMC9513441

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.