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ArticleFrontiers in oncology2024

Case report: Pulmonary sarcomatoid carcinoma demonstrating rapid growth on follow-up CT.

Li Tu, Hong Xie, Lianshan Zhan, Yushi Yang, Tingting Chen, Na Hu, Xiaojun Du, Shi Zhou

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Li TuGeneral Practice Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Hong XieRadiology Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Lianshan ZhanNuclear Medicine Department, Guiqian International General Hospital, Guiyang, Guizhou, China.
Yushi YangPathology Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Tingting ChenRadiology Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Na HuRadiology Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Xiaojun DuThoracic Surgery Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Shi ZhouInterventional Radiology Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The tumor growth rate and tumor volume doubling time are crucial parameters in diagnosing and managing lung lesions. Pulmonary sarcomatoid carcinoma (PSC) is a unique and highly malignant subtype of lung cancer, with limited documentation on its growth feature. This article aims to address the gap in knowledge regarding a PSC's growth patterns by describing the characteristics of a confirmed case using computed tomography, thereby enhancing the understanding of this rare disease. Case presentation: A 79-year-old man was transferred to our center presenting with a mild cough, blood-tinged sputum, and a malignant nodule in the left upper lobe. Chest CT revealed a solid nodule in the left upper lobe. A follow-up CT ten days later showed a significant increase in the size of the nodule, accompanied by ground-glass opacity in the surrounding lung. The rapid preoperative growth of the nodule suggested a non-neoplastic lesion, and intraoperative frozen pathology also considered the possibility of tuberculosis. Subsequently, a left upper apical-posterior segment (S1 + 2) resection was performed. Postoperative tumor pathology confirmed the diagnosis of pulmonary sarcomatoid carcinoma with extensive giant cell carcinoma and necrosis. Immunohistochemistry indicated approximately 60% PD-L1 positive and genetic testing revealed a MET mutation. The patient was discharged with oral crizotinib targeted therapy, and his condition remained stable postoperatively. The patient is currently undergoing regular follow-up at our hospital, with no evidence of distant metastasis or recurrence. Conclusion: Pulmonary sarcomatoid carcinoma can exhibit rapid tumor growth on imaging, and PSC should be considered in the differential diagnosis for lesions that present with a fast growth rate. Timely and appropriate treatment for PSC may lead to a good prognosis.

Indexed as

case reportlung cancerpulmonary sarcomatoid carcinomatumor growth rate (TGR)tumor volume doubling time

Identifiers

PMID39040455
PMCPMC11260612

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