Evidence map›Paper›PMID 35568842›Full record

ArticleBMC endocrine disorders2022

Tumor mutational burden presents limiting effects on predicting the efficacy of immune checkpoint inhibitors and prognostic assessment in adrenocortical carcinoma.

Fangshi Xu, Yibing Guan, Peng Zhang, Li Xue, Yubo Ma, Mei Gao, Tie Chong, Bin-Cheng Ren

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 32 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Fangshi XuDepartment of Medicine, Xi'an Jiaotong University, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Yibing GuanDepartment of Medicine, Xi'an Jiaotong University, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Peng ZhangDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, West Five Road, Xi'an, 710000, Shaanxi Province, China.
Li XueDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, West Five Road, Xi'an, 710000, Shaanxi Province, China.
Yubo MaDepartment of Medicine, Xi'an Jiaotong University, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Mei GaoDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, West Five Road, Xi'an, 710000, Shaanxi Province, China.
Tie ChongDepartment of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, West Five Road, Xi'an, 710000, Shaanxi Province, China.
Bin-Cheng RenDepartment of Rheumatology and Immunology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, West Five Road, Xi'an, 710000, Shaanxi Province, China. renbincheng7@163.com.
Second Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdrenocortical carcinoma (ACC) is a highly malignant urologic cancer and tends to metastasize. Although immune checkpoint inhibitors (ICIs) bring a glimmer of light to conquer ACC, only a fraction of patients have benefit from ICIs treatment. It is well known that tumor mutational burden (TMB) is closely associated with the efficacy and response rate of immunotherapy. However, its roles in ACC were not investigated.

methodsUsing somatic mutations data of 92 ACC samples in TCGA database, we calculated their TMB values by the 'maftools' package in R software (Ver 3.6.3). To explore the roles of TMB in ICIs therapy, we have addressed this issue from three perspectives. First, the effects of TMB levels on tumor immune microenvironment (TIM) were analyzed through CIBERSORT algorithm, ssGSEA method and TIMER web server. Second, we investigated the expressive correlations between TMB level and five pivotal immune checkpoints based on Pearson coefficient. Third, the difference in TIDE score between high- and low-TMB groups was compared. The prognostic value of TMB was also evaluated. Besides, GSEA was performed to determine the changes in the activities of signaling pathways caused by TMB.

resultsTMB values in ACC samples were not high. The average of total mutation counts in each sample was only 21.5. High TMB could lead metabolic reprogramming and poor survival outcomes. However, it was unable to affect the infiltration levels of lymphocytes, and failed to facilitate the activities of immune-related pathways. Regarding immune checkpoints (ICs), only PD-L1 upregulation could result in a good prognosis, and TMB level did not correlate with the expressions of other ICs except for LAG3. There was no significant difference in TIDE score between high- and low-TMB groups. Combining the present results and previous study, we speculated that inadequate stimulation for neoantigens formation, intrinsic immune-resistance and special genomic alterations were three possible reasons for TMB limiting functions in TIM and ICIs. Besides, TMB was toughly applied in clinical practice due to its high cost of determination and non-universal definition of high TMB.

conclusionsTMB presents limiting effects on prediction for ICIs efficacy and prognostic assessment for ACC patients.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaBiomarkers, TumorHumansImmune Checkpoint InhibitorsMutationPrognosisTumor MicroenvironmentBiomarkers, TumorImmune Checkpoint InhibitorsAdrenocortical carcinomaImmune checkpoint inhibitorsImmune microenvironmentPrognosisTumor mutational burden

Identifiers

PMID35568842
PMCPMC9107278
OpenAlexW4280522301

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LicenceCC BY
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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.