Evidence map›Paper›PMID 38714665›Full record

ArticleNature communications2024

Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer.

Kang Wang, Ioannis Zerdes, Henrik J Johansson, Dhifaf Sarhan, Yizhe Sun, Dimitris C Kanellis, Emmanouil G Sifakis, Artur Mezheyeuski, Xingrong Liu, Niklas Loman and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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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

17 authors.

Kang WangDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5401-1803
Ioannis ZerdesDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8304-2462
Henrik J JohanssonDepartment of Oncology-Pathology, Karolinska Institutet, and Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4729-4205
Dhifaf SarhanDepartment of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0196-4496
Yizhe SunDepartment of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden.
Dimitris C KanellisDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8690-2010
Emmanouil G SifakisDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-9919-4471
Artur MezheyeuskiDepartment of Immunology, Genetics and Pathology, Uppsala University, Rudbeck Laboratory, Uppsala, Sweden.
Xingrong LiuDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Niklas LomanDepartment of Hematology, Oncology and Radiation Physics, Lund University Hospital, Lund, Sweden.
Ingrid HedenfalkDivision of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-6840-3397
Jonas BerghDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5526-1847
Jiri BartekDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2013-7525
Thomas HatschekDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Janne LehtiöDepartment of Oncology-Pathology, Karolinska Institutet, and Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8100-9562
Alexios MatikasDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-4122-9624
Theodoros FoukakisDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden. theodoros.foukakis@ki.se.ORCID http://orcid.org/0000-0001-8952-9987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although metabolic reprogramming within tumor cells and tumor microenvironment (TME) is well described in breast cancer, little is known about how the interplay of immune state and cancer metabolism evolves during treatment. Here, we characterize the immunometabolic profiles of tumor tissue samples longitudinally collected from individuals with breast cancer before, during and after neoadjuvant chemotherapy (NAC) using proteomics, genomics and histopathology. We show that the pre-, on-treatment and dynamic changes of the immune state, tumor metabolic proteins and tumor cell gene expression profiling-based metabolic phenotype are associated with treatment response. Single-cell/nucleus RNA sequencing revealed distinct tumor and immune cell states in metabolism between cold and hot tumors. Potential drivers of NAC based on above analyses were validated in vitro. In summary, the study shows that the interaction of tumor-intrinsic metabolic states and TME is associated with treatment outcome, supporting the concept of targeting tumor metabolism for immunoregulation.

Indexed as

Breast NeoplasmsNeoadjuvant TherapyTumor MicroenvironmentAdultCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLongitudinal StudiesMiddle AgedProteomicsSingle-Cell Analysis

Identifiers

PMID38714665
PMCPMC11076527

What OpenQuestion holds

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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.