Giant cell carcinoma of the lung successfully treated with surgical resection and adjuvant vinorelbine and cisplatin

Habib, Saad; Leifer, Lazer; Azam, Mohammed Sadiq; Siddiqui, Abdul Hasan; Rajdev, Kartikeya; Chalhoub, Michel

doi:10.1016/j.rmcr.2018.10.012

Cited by 5 publications

(6 citation statements)

References 11 publications

(25 reference statements)

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“…The hallmark of GCCL imaging often shows intrapulmonary masses with predominant involvement of the upper lobes of the lungs. [5,7–10] In this case, the patient presented with newborn parenchymal focal cyst in the left upper lobe. Cysts are described as thin-walled (<4 mm) air-containing spaces, while cavities are air-containing lesions with thick walls (≥5 mm).…”

Section: Discussionmentioning

confidence: 98%

Giant cell carcinoma of the lung presenting as an isolated cyst containing air

Wang¹,

Liu²,

Qian³

et al. 2019

Medicine

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Introduction: Pulmonary sarcomatoid carcinomas (PSCs) are rare tumors within the sarcomatoid carcinoma group. Giant cell carcinoma of the lung (GCCL) is a rare type of PSCs that consists entirely of highly pleomorphic tumor giant cells; the prognosis is poor. Patient concerns: A patient presented with a single cyst and was diagnosed with GCCL. The patient was a 59-year-old male who was admitted to the hospital with a cough. A chest computerized tomography (CT) scan showed a single, thin-walled cyst containing air in the left upper lobe of the lung. Bronchoscopy revealed chronic bronchitis. The initial diagnosis was pulmonary infection and the patient was treated with antibiotics. The cyst wall increased in thickness, and the cyst eventually formed a cavity. Diagnosis: Surgery was performed, and a diagnosis of GCCL was established. The stage was pT 1b N 1 M 0 (equal to stage IIB). Interventions: The patient underwent video-assisted thoracoscopic surgery and 4 cycles of adjuvant chemotherapy consisting of cisplatin and docetaxel. After 9 months, the patient occurred mediastinal lymph node metastasis, and received radiotherapy (60Gy/30F). Outcomes: His prognosis was good without progression (complete response) based on serial CT scans over 9 months of follow-up evaluations, then the patient occurred mediastinal lymph node metastasis. The patient lived during 30 months of follow-up, after which he was lost to follow-up. Conclusion: A solitary pulmonary parenchymal cystic lesion usually suggests an infectious disease or congenital abnormality; however, a cystic lesion is occasionally encountered in GCCL.

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Section: Discussionmentioning

confidence: 98%

Giant cell carcinoma of the lung presenting as an isolated cyst containing air

Wang¹,

Liu²,

Qian³

et al. 2019

Medicine

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“…[47] Large cell carcinoma is rare, has a poor prognosis, and typically responds poorly to chemotherapy. [48] Colorectal Cancer: Top connecting cell lines are SW480, SW1417, and SW837. SW480 is classified as subtype CMS2 and exhibits mutations for tumor suppressor genes p53 and APC as well as for KRAS.…”

Section: Global Analysis -Patient-cell Line Connectivity Patternsmentioning

confidence: 99%

“…HCC1359 is a large cell carcinoma with a mutation in TP53 [47] . Large cell carcinoma is rare, has a poor prognosis, and typically responds poorly to chemotherapy [48] …”

Section: Cancer Cell Line and Patient Matching Using Functional Prote...mentioning

confidence: 99%

NetCellMatch: Multiscale Network‐Based Matching of Cancer Cell Lines to Patients Using Graphical Wavelets

Desai

Morris

Baladandayuthapani

2022

Chemistry & Biodiversity

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Cancer cell lines serve as model in vitro systems for investigating therapeutic interventions. Recent advances in high‐throughput genomic profiling have enabled the systematic comparison between cell lines and patient tumor samples. The highly interconnected nature of biological data, however, presents a challenge when mapping patient tumors to cell lines. Standard clustering methods can be particularly susceptible to the high level of noise present in these datasets and only output clusters at one unknown scale of the data. In light of these challenges, we present NetCellMatch, a robust framework for network‐based matching of cell lines to patient tumors. NetCellMatch first constructs a global network across all cell line‐patient samples using their genomic similarity. Then, a multi‐scale community detection algorithm integrates information across topologically meaningful (clustering) scales to obtain Network‐Based Matching Scores (NBMS). NBMS are measures of cluster robustness which map patient tumors to cell lines. We use NBMS to determine representative “avatar” cell lines for subgroups of patients. We apply NetCellMatch to reverse‐phase protein array data obtained from The Cancer Genome Atlas for patients and the MD Anderson Cell Line Project for cell lines. Along with avatar cell line identification, we evaluate connectivity patterns for breast, lung, and colon cancer and explore the proteomic profiles of avatars and their corresponding top matching patients. Our results demonstrate our framework's ability to identify both patient‐cell line matches and potential proteomic drivers of similarity. Our methods are general and can be easily adapted to other'omic datasets.

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“…4,5 Due to its rarity, previous studies on GCCL mainly focused on case reports or small sample cases series. 4,6,7 According to previous sporadic reports, this rare disease is more prevalent in males and is associated with a history of smoking. 3,8,9 Although GCCL can occur in any lung lobe, more than 50% of cases have lesions located in the upper lobes.…”

Section: Introductionmentioning

confidence: 99%

“…Patients with GCCL often present with non‐specific respiratory symptoms, including cough, haemoptysis, chest pain and dyspnoea, and these patients with symptoms are more likely to seek medical attention; however, some patients could also be asymptomatic similar to patients with other types of lung cancer 4,5 . Due to its rarity, previous studies on GCCL mainly focused on case reports or small sample cases series 4,6,7 . According to previous sporadic reports, this rare disease is more prevalent in males and is associated with a history of smoking 3,8,9 .…”

Section: Introductionmentioning

confidence: 99%

Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study

et al. 2023

Clinical Respiratory J

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Background: Due to its rarity, the features and prognosis of giant cell carcinoma of the lung (GCCL) are not well defined. The present study aimed to describe the clinicopathological features and prognostic analysis of this rare disease, compare it with lung adenocarcinoma (LAC), further determine the prognostic factors and establish a nomogram. Methods: Patients diagnosed with GCCL and LAC were identified from the SEER database between 2004 and 2016. The features and survival between GCCL and LAC were compared in the unmatched and matched cohorts after propensity score matching (PSM) analysis. Univariate and multivariate Cox analyses were used to identify the prognostic factors, and a nomogram was constructed. Area under the curve (AUC), C-index, calibration curve and decision curve analysis (DCA) were used to confirm the established nomogram. Results: A total of 295 patient diagnosed with GCCL and 149 082 patients with LAC were identified. Compared with LAC, patients with GCCL tend to be younger, male, black and have pathological Grade III/IV GCCL, more proportion of AJCC-TNM-IV, T3/T4 and distant metastases. The 1-, 2-and 5-year OS rates of the patients with GCCL were 21.7%, 13.4% and 7.9%, respectively. The median OS and CSS were 3 and 4 months, respectively. Patients with GCCL had significantly shorter OS and CSS than those with LAC in the unmatched and matched cohorts after PSM. Multivariate Cox analysis demonstrated that T, N and M stages and use of chemotherapy and surgery were independent of survival. Furthermore, we constructed a prognostic nomogram for OS and CSS by using independent prognostic factors. The C-index of OSspecific nomogram is 0.78 (0.74-0.81), and the C-index of CSS-specific nomogram is 0.77 (0.73-0.80). The calibration curve and ROC analysis showed good predictive capability of these nomograms. DCA showed that the nomogram had greater clinical practical value in predicting the OS and CSS of GCCL than TNM staging.Jiang He and Jin-Ping Ni contributed equally to this work.

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Giant cell carcinoma of the lung successfully treated with surgical resection and adjuvant vinorelbine and cisplatin

Cited by 5 publications

References 11 publications

Giant cell carcinoma of the lung presenting as an isolated cyst containing air

Giant cell carcinoma of the lung presenting as an isolated cyst containing air

NetCellMatch: Multiscale Network‐Based Matching of Cancer Cell Lines to Patients Using Graphical Wavelets

Clinicopathological features and prognostic nomogram of giant cell carcinoma of the lung: A population‐based study

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