Publications by authors named "Junmiao Wen"

Radiotherapy is the most predominant treatment strategy for lung squamous cell carcinoma (LUSC) patients, but radioresistance is the major obstacle to therapy effectiveness. The mechanisms and regulators of LUSC radioresistance remain unclear. Here, lactotransferrin (LTF) is found to be significantly upregulated in radioresistant LUSC cell lines (H226R and H1703R) and clinical samples and promotes radioresistance of LUSC both and .

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Kinesin family member 2A (KIF2A) represents an oncogene in several cancers, however, its involvement in non-small cell lung cancer (NSCLC) is limitedly investigated. Therefore, the present study aimed to explore potential molecular mechanism of KIF2A knockdown in repressing NSCLC malignant behaviors. The effect of KIF2A knockdown on cell proliferation, apoptosis, invasion, epithelial-mesenchymal transition (EMT) markers, stemness, chemosensitivity was detected after transfecting KIF2A short hairpin RNA (ShRNA) plasmids into A549 and NCI-H1975 cells.

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Background: We aim to assess the prognostic ability of three common lymph node-based staging algorithms, namely, the number of positive lymph nodes (pN), the lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) in patients with esophageal squamous cell carcinoma (ESCC).

Methods: A total of 3902 ESCC patients treated at 10 Chinese institutions between 2003 and 2013 were included, along with 2465 patients from the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic ability of the aforementioned algorithms was evaluated using time-dependent receiver operating characteristic (tdROC) curves, , Harrell's concordance index (C-index), and the likelihood ratio chi-square score.

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Background: Adjuvant chemotherapy (ACT) is routinely the recommended treatment for patients with advanced non-small cell lung cancer (NSCLC) but remains a controversial option in stage IB patients. We therefore pooled the current evidence to determine the prognostic impact of ACT in stage IB NSCLC patients in the context of the eighth tumor, node, metastasis (TNM) staging system.

Methods: Five electronic databases were searched for eligible studies up to December 2020 without language restrictions.

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Background: A nomogram was developed for the estimation of individualized overall survival (OS) of patients diagnosed with small cell esophageal carcinoma (SCEC).

Methods: From the SEER dataset, 427 patients diagnosed with SCEC during the period from 2004 to 2015 were selected as training sets. For the establishment of a nomogram capable of estimating the OS possibility of patients diagnosed with SCEC, a group of independent prognostic factors were identified and incorporated.

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Primary small cell esophageal carcinoma (SCEC) is a rare malignancy without an established treatment strategy. This study investigated the gene expression profile of SCEC and compared it with the expression profiles of small cell lung cancer (SCLC) and esophageal adeno/squamous carcinoma (EAC/ESCC). All patients with SCEC, SCLC, and EAC/ESCC in the Surveillance, Epidemiology, and End Results (SEER) database 1973-2014 were included.

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Alectinib, a highly selective inhibitor of anaplastic lymphoma kinase (ALK), has shown a high response rate and long progression-free survival in primary treatment of ALK-positive non-small-cell lung cancer (NSCLC). De novo resistance or refractory subtype is rare event. Herein, we identify the first case with serial next-generation sequencing (NGS) results that harboured a rare echinoderm microtubule associated protein like 4 gene (EML4) -ALK (breaking site at exon 19) fusion in a lung adenocarcinoma (LUAD) patient who acquired alectinib resistance rapidly (less than 3 months), followed by multi-drug resistance and short survival time.

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Background: This study aimed to assess the prognostic value of various diagnostic immunohistochemical (IHC) markers and develop an IHC-based classifier to predict the disease-free survival (DFS) of patients with bladder cancer undergoing radical cystectomy.

Methods: IHC was performed on tumor specimens from 366 patients with transitional cell bladder cancer. The least absolute shrinkage and selection operator (LASSO) Cox regression model was used to develop a multi-marker classifier for predicting DFS of patients with bladder cancer.

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Background: Although extracapsular lymph node involvement (EC-LNI) has been proposed to be incorporated into the staging system of esophageal cancer, the prognostic value of EC-LNI remains controversial with conflicting data available, especially in the era of neoadjuvant therapy.

Methods: An electronic literature search was undertaken using four public databases. Studies investigating the effects of EC-LNI on survival were included.

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According to the lung cancer staging project, T2b (>5-7 cm) and T3 (>7 cm) non-small cell lung cancers (NSCLC) should be reclassified into T3 and T4 groups. The objective of this study was to evaluate the effect of surgery alone or surgery plus adjuvant radiation (SART) on survival of node-negative patients with NSCLC >5 cm. We identified 4557 N0 patients with NSCLC >5 cm in the Surveillance, Epidemiology, and End Results database from 2004 to 2014.

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Purpose: To determine the optimal threshold of examined lymph node (ELN) number from cervical lymph node dissection for head and neck squamous cell carcinoma (HNSCC). Further to compare the prognostic value of multiple lymph node classification systems and to determine the most suitable scheme to predict survival.

Methods: A total of 20991 HNSCC patients were included.

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Background: This study sought to determine the optimal number of examined lymph nodes (ELNs) and examined node stations (ENSs) in patients with radiologically pure-solid non-small cell lung cancer (NSCLC) who underwent lobectomy and ipsilateral lymphadenectomy by investigating the impact of ELNs and ENSs on accurate staging and long-term survival.

Materials And Methods: Data from 6 institutions in China on resected clinical stage I-II (cI-II) NSCLCs presenting as pure-solid tumors were analyzed for the impact of ELNs and ENSs on nodal upstaging, stage migration, recurrence-free survival (RFS), and overall survival (OS). Correlations between different endpoints and ELNs or ENSs were fitted with a LOWESS smoother, and the structural break points were determined by Chow test.

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Echinoderm microtubule-associated protein-like 4 (EML4)-anaplastic lymphoma kinase (ALK) fusion occurs in approximately 5% of non-small cell lung cancer (NSCLC) cases. Variants 1 and 3a/b are the most common EML4-ALK variants. Emerging evidence indicates that patients with variant 1 and those with variant 3a/b exhibit differential therapeutic responses.

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Objectives: To evaluate the prognostic significance of patterns of distant metastatic organs in metastatic pulmonary neuroendocrine tumors (PNETs).

Methods: 891 metastatic PNETs patients (G1-typical carcinoid, 200; G2-atypical carcinoid, 68; G3-large-cell neuroendocrine carcinoma, 623) diagnosed between 2010 and 2016 were identified. Multivariate analysis was performed using a Cox regression model to identify prognostic factors associated with cancer-specific survival (CSS).

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Background: This study aimed to investigate whether sublobar resection (SR) is equivalent to lobectomy for small (≤ 2 cm) second primary lung cancer (SPLC).

Methods: We identified 834 patients with T1aN0M0 SPLC from the Surveillance, Epidemiology, and End Results (SEER) database during 2000-2016. Overall survival (OS) was compared between lobectomy and SR after propensity-score matching.

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Objectives: To determine the optimal number of examined lymph nodes (ELNs) and examined node stations (ENSs) in patients with radiologically pure-solid NSCLC and to investigate the impact of ELNs and ENSs on accurate staging and long-term survival.

Methods: Data from six institutions in the People's Republic of China on resected c-stage Ⅰ to Ⅱ NSCLCs presenting as pure-solid tumors were analyzed for the impact of ELNs and ENSs on nodal upstaging, stage migration, recurrence-free survival, and overall survival by using multivariate models. The correlations between different end points and ELNs or ENSs were fitted with a smoother (using Locally Weighted Scatterplot Smoothing tool), and the structural break points were determined by the Chow test.

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Background: We aimed to characterize the relationships of lymphocyte activation gene-3 (LAG-3) expression, cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4) expression, and CD8 tumor-infiltrating lymphocyte (TIL) density, and to investigate the joint prognostic impact of these three markers in patients with surgically resected esophageal squamous cell carcinoma (ESCC).

Methods: Expression of LAG-3, CTLA-4 and the density of CD8 TILs were evaluated by immunohistochemistry in resected ESCC. The associations between LAG-3 expression and clinicopathologic characteristics, as well as patient prognoses, were analyzed.

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Non-small cell lung cancer (NSCLC) is the most common cancer and the leading cause of cancer-related deaths worldwide. Age at diagnosis of advanced NSCLC is much older, but studies describing the practice patterns for octogenarians with distant metastasis NSCLC are limited. A retrospective, population-based study using national representative data from the Surveillance, Epidemiology, and End Results (SEER) program was conducted to evaluate 34 882 NSCLC patients with extrathoracic metastases from 2010 to 2013.

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Background: T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) is a promising checkpoint. However, its features and prognostic value remain undetermined in esophageal squamous cell carcinoma (ESCC). This study evaluated the prognostic value of TIM-3 expression and its relationship with programmed cell death 1 (PD-1) and CD8 tumor-infiltrating lymphocytes (TILs) in patients with surgically resected ESCC.

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Background: The purpose of this study is to develop a radiomics approach to predict brain metastasis (BM) for stage III/IV ALK-positive non-small cell lung cancer (NSCLC) patients.

Methods: Patients with ALK-positive III/IV NSCLC from 2014 to 2017 were enrolled retrospectively. Their pretreatment thoracic CT images were collected, and the gross tumor volume (GTV) was defined by two experienced radiation oncologists.

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